Archives

Approach to the Patient with Dyslipidemia

ABSTRACT

 

In evaluating a patient with dyslipidemia, the initial step is to decide which particular lipid/lipoprotein abnormalities need to be evaluated and whether they need treatment. These disorders can be divided into elevations of LDL-C, TGs, non-HDL-C, and Lp(a) and decreases in plasma HDL-C. Frequently a patient can have multiple lipid/lipoprotein abnormalities. The next step is to rule out secondary causes that could account for the abnormal lipid/lipoprotein levels. These secondary causes can be due to diet, various disease states, or drug therapy. One should be suspicious of a secondary cause if a patient suddenly develops a lipid/lipoprotein abnormality or the lipid/lipoprotein profile suddenly worsens. Next one should consider the possibility of a genetic disorder and therefore ask whether relatives have either premature cardiovascular disease, lipid disorders, or are receiving lipid lowering medications. If the TG levels are markedly elevated one should inquire about a family history of pancreatitis. When the lipid/lipoprotein abnormality is markedly abnormal or begins at a young age, the likelihood of a genetic disorder is increased, and the family history assumes even greater importance. In most circumstances a routine lipid panel consisting of plasma TGs, total cholesterol, HDL-C, and calculated LDL-C and non-HDL-C provides sufficient information to appropriately decide on who to treat and the best treatment approach. However, it should be recognized that there are certain situations where more sophisticated and detailed laboratory studies can be helpful. The purpose of treating lipid disorders is to prevent the development of other diseases, particularly cardiovascular disease. Thus, the decision to treat should be based on the risk of hyperlipidemia leading to those medical problems. Several guidelines have been published that discuss cardiovascular risk assessment in detail and provide recommendations on treatment strategies. Additionally, calculators are available on-line to determine an individual patient’s risk of developing cardiovascular disease in the next 10 years or their lifetime risk. In the prevention of cardiovascular disease, the main priority is to lower the LDL-C levels. Reductions in other apolipoprotein B containing lipoproteins may be instituted if LDL-C levels are at goal. Depending on the specific guideline the percent reduction in LDL-C and/or the goal LDL-C will vary depending upon the patient profile. When LDL-C levels are at goal but TG and non-HDL-C levels are still elevated a recent study suggests further treatment with icosapent ethyl may be beneficial. Whether decreasing Lp(a) is beneficial in preventing cardiovascular disease is uncertain and further studies are in progress. Lifestyle changes are the initial treatment but in most patients’ drug therapy will be necessary.

 

INTRODUCTION

 

The initial step is to decide which particular lipid/lipoprotein abnormalities need to be evaluated and whether they need treatment. These disorders can be divided into elevations of LDL-C, triglycerides (TGs), non-HDL-C, and Lp(a), and decreases in HDL-C. An increase in non-HDL-C accompanies an increase in LDL-C and/or TGs levels. Often a patient can have multiple lipid/lipoprotein abnormalities. For example, it is not uncommon for a patient to have high TGs with low HDL-C levels or high LDL-C and high Lp(a) levels.

 

From a clinical point of view, one is not usually concerned if the LDL-C, Lp(a), or TG levels are low or if the HDL-C level is high. Very low levels of LDL-C and/or TGs suggest the presence of other medical issues such as hyperthyroidism, malabsorption, liver disease, chronic infections, cancer, etc. On rare occasions very low LDL-C levels or TG levels can be due to genetic disorders (1). Very high HDL-C levels can also be due to genetic causes (2).

 

RULE OUT SECONDARY CAUSES

 

The next step is to rule out secondary causes that could account for the abnormal lipid/lipoprotein levels. These secondary causes can be due to diet, various disease states, or medications. One should be suspicious of a secondary cause if a patient suddenly develops a lipid/lipoprotein abnormality or the lipid/lipoprotein profile suddenly worsens. Patients with genetic abnormalities causing dyslipidemia can have their disorder worsen if they develop secondary causes that further adversely affect lipid/lipoprotein levels.

 

The key is that if one corrects the secondary cause the lipid/lipoprotein abnormality can often markedly improve or even disappear. For example, hypothyroidism can be accompanied by striking increases in LDL-C levels and the treatment of hypothyroidism can result in a large decrease in LDL-C, often to normal levels (3). Likewise, an improvement in glycemic control in a patient with poorly controlled diabetes may result in a large decrease in serum TG levels (4). Occasionally, the presence of dyslipidemia leads to the discovery of an unrecognized secondary disorder that requires treatment.

 

Similarly stopping certain drugs can greatly improve the lipid profile (5). For example, in some postmenopausal women with hypertriglyceridemia stopping oral estrogen therapy can result in a marked decrease in TG levels (3). The disorders and drugs that cause lipid/lipoprotein abnormalities are shown in tables 1-7. It should be noted that many disorders and drugs can cause multiple lipid abnormalities. The effects of disorders and drugs in an individual patient can vary depending on genetic background and the presence of other disorders and drugs that effect lipid/lipoprotein levels. For an extensive discussion of the secondary disorders that alter lipid and lipoprotein metabolism please refer to the individual Endotext chapters on these disorders. For additional information on the effect of drugs on lipid and lipoprotein metabolism please see the Endotext chapter on this topic (5).

 

Table 1. Conditions Associated with an Increase LDL in Cholesterol Levels

Increased intake of saturated or trans fatty acids

Ketogenic diet

Hypothyroidism

Obstructive liver disease

Nephrotic syndrome

Pregnancy

Growth hormone deficiency

Anorexia nervosa

Monoclonal gammopathy

Cushing’s syndrome

Acute intermittent porphyria

Hepatoma

 

Table 2. Drugs That Increase LDL Cholesterol Levels

Cyclosporine and tacrolimus

Amiodarone

Glucocorticoids

Danazol

Some progestins

Protease inhibitors

Anabolic steroids

Androgen deprivation therapy

Retinoids

Thiazide diuretics

Loop diuretics

Thiazolidinediones

SGLT2 inhibitors

Mitotane (o,p'DDD)

Growth Hormone

JAK kinase inhibitors

 

Table 3. Conditions Associated with an Increase in TG Levels

Obesity

Alcohol intake

High simple carbohydrate diet

Diabetes

Metabolic syndrome

Polycystic ovary syndrome

Hypothyroidism

Chronic renal failure

Nephrotic syndrome

Pregnancy

Inflammatory diseases (Rheumatoid arthritis, Lupus, psoriasis, etc.)

Infections

Acute stress (myocardial infarctions, burns, etc.)

HIV

Cushing’s syndrome

Growth hormone deficiency

Lipodystrophy

Glycogen Storage disease

Acute hepatitis

Monoclonal gammopathy

 

Table 4. Drugs That Increase TG Levels

Alcohol

Oral Estrogens

Tamoxifen/Raloxifene

Glucocorticoids

Retinoids

Beta blockers

Thiazide diuretics

Loop diuretics

Protease Inhibitors

Cyclosporine, sirolimus, and tacrolimus

Atypical anti-psychotics

Bile acid sequestrants

L-asparaginase

Androgen deprivation therapy

Cyclophosphamide

Alpha-interferon

Propofol

 

Table 5. Conditions Associated with a Decrease in HDL Cholesterol Levels

Marked hypertriglyceridemia

Obesity

Metabolic syndrome

Type 2 diabetes

Low fat intake

Infection

Inflammation

Malignancy

Severe liver disease

Polycystic ovary syndrome

Paraproteinemia (artifact of some assays)

 

Table 6. Drugs That Decrease HDL Cholesterol Levels

Anabolic steroids

Danazol

TZD + fibrate (idiosyncratic reaction)

Beta-blockers

Progestins

Atypical anti-psychotics

 

Table 7. Disorders or Drugs Associated with an Increase in Lp(a) Levels

Chronic Kidney Disease

Nephrotic Syndrome

Inflammation

Hypothyroidism

Acromegaly

Polycystic ovary syndrome

Growth hormone therapy

Androgen deprivation therapy

Statins

 

In a patient with an elevated LDL-C level, one should take a diet history, review the medication list, and check a TSH level to rule out hypothyroidism. Most of the disorders that cause elevations in LDL-C levels, other than hypothyroidism, should be obvious on routine history, physical examination, and laboratory screening. In a patient with an elevated TG level, one should take a diet history and in particular focus on the ingestion of simple sugars and ethanol. One should review the medication list and recognize that many common disease states can adversely impact TG levels including obesity, poorly controlled diabetes, chronic renal failure, HIV, and inflammatory disorders (4,6-9). Weight loss, improvements in glycemic control in patients with diabetes, and a reduction of inflammation can all result in a decrease in TG levels  (4,7,8). In a patient with a low HDL-C level one should review the medication list and diet, recognizing that diets very low in fat can result in low HDL-C levels, which are often accompanied by low LDL-C and TG levels (10). In young or very fit males with very low HDL-C levels a careful history directed at anabolic steroid use is essential (3).

 

THINK ABOUT GENETIC CAUSES

 

One should always consider the possibility of a genetic disorder and therefore ask whether relatives have either premature cardiovascular disease, lipid disorders, or are taking lipid lowering medications (11). If the TG levels are markedly elevated one should inquire about a family history of pancreatitis. When the lipid/lipoprotein abnormality is markedly abnormal or begins at a young age, the likelihood of a genetic disorder is increased, and the family history assumes even greater importance. It is essential to think about the possibility of a genetic disorder because many of the common lipid disorders, such as familial hypercholesterolemia and elevations in Lp(a), have an autosomal codominant genetic transmission and therefore will be present in approximately 50% of family members (12-16). The recognition of the possibility of a genetic disorder will lead to screening family members and if abnormalities are found early treatment can be initiated, which may prevent the adverse consequences of hyperlipidemia. The monogenetic disorders that cause elevations in LDL-C and TGs levels and low HDL-C levels are shown in tables 8-11.

 

Table 8. Elevation in LDL Cholesterol (Familial Hypercholesterolemia)

LDL receptor mutations

Autosomal codominant

Approx. 1 in 250

Apolipoprotein B mutations

Autosomal codominant

Approx. 1 in 1000

PCSK9 mutations

Autosomal codominant

rare

Autosomal recessive hypercholesterolemia

Autosomal recessive

rare

Lysosomal acid lipase deficiency

Autosomal recessive

rare

Cholesterol 7 alpha hydroxylase deficiency

Autosomal recessive

rare

Sitosterolemia (ABCG5/ABCG8)

Autosomal recessive

rare

In autosomal codominant disorders heterozygotes have lipid abnormalities approximately half as severe as homozygotes

 

Table 9. Marked Elevations in TGs (Familial Chylomicronemia Syndrome)

Lipoprotein lipase deficiency

Autosomal recessive

rare

Apolipoprotein C-II deficiency

Autosomal recessive

rare

Apolipoprotein A-V deficiency

Autosomal recessive

rare

GPIHBP1 deficiency

Autosomal recessive

rare

Lipase maturation factor 1 deficiency

Autosomal recessive

rare

 

Table 10. Elevations in TGs and Cholesterol

Familial Dysbetalipoproteinemia

Apo E2/E2, rare mutations in Apo E

1-5/5000

 

Table 11. Decreased HDL Cholesterol

Apolipoprotein A-I deficiency or variants

Autosomal codominant

rare

Tangier disease (ABCA1 deficiency)

Autosomal codominant

rare

LCAT deficiency

Autosomal codominant

rare

In autosomal codominant disorders heterozygotes have lipid abnormalities approximately half as severe as homozygotes

 

Very frequently hypertriglyceridemia and/or hypercholesterolemia are due to polygenic inheritance secondary to combinations of common small effect genes that regulate the production or catabolism of lipoproteins (17). Additionally, some individuals who are heterozygotes for the gene abnormalities described in table 9 will have elevated TG levels. In addition, lifestyle, other disease states, and medications can interact with genetic susceptibilities to result in marked dyslipidemia and therefore even when a genetic disorder is present one should not ignore reversible factors where appropriate treatment can have marked effects on lipid levels. Often secondary factors facilitate the expression of genetic variations to result in an abnormal lipid phenotype. One of the best examples of the interaction of secondary factors and genetic variants is familial dysbetalipoproteinemia (18-20). The apolipoprotein E2/E2 polymorphism occurs in approximately 1% of individuals whereas the clinical disorder only occurs in 1-5/5000 and is frequently associated with other disorders, such as obesity, hypothyroidism, and diabetes, which also perturb lipid metabolism. A detailed discussion of the genetic disorders that affect plasma lipid and lipoprotein levels can be found in the individual Endotext chapters that focus on these disorders.

 

ORDERING SPECIAL LABORATORY STUDIES

 

In most circumstances a routine lipid panel consisting of TGs, total cholesterol, HDL-C, and calculated LDL-C and non-HDL-C provides sufficient information to appropriately decide on who to treat and the best treatment approach. In a patient with high fasting TGs (>200-400mg/dl) where the LDL-C cannot be accurately calculated measurement of direct LDL-C may be helpful. However, it should be recognized that there are certain situations where more sophisticated and detailed laboratory studies can be helpful (21). Indications for measuring Lp(a) are shown in Table 12 (21,22). Note, it is the opinion of many experts and recommended by some guidelines that Lp(a) should be measured once in all individuals. The various specialized lipid and lipoprotein studies and their appropriate use are discussed in detail in the Endotext chapter “Utility of Advanced Lipoprotein Testing in Clinical Practice” (21). 

 

Table 12. When to Measure Lp(a) Levels

Patients with premature CHD

Patients with a strong family history of premature CHD

Patients with a family history of elevated Lp(a) levels (Cascade screening)

Patients with resistance to LDL-C lowering with statins

Patients with familial hypercholesterolemia

Patients with aortic valvular stenosis of uncertain cause

Patients with an unknown cause of ischemic stroke

Patients with intermediate risk profiles

Note: It is the opinion of some experts that Lp(a) should be measured once in all individuals

 

DECIDING WHO TO TREAT

 

The purpose of treating lipid disorders is to prevent the development of other diseases, particularly cardiovascular disease. Thus, the decision to treat should be based on the risk of the hyperlipidemia leading to those medical problems. These issues are discussed in detail in the chapters on Risk Assessment and Guidelines for the Management of High Blood Cholesterol and TGs  (23-25). In addition to cardiovascular complications, marked elevations in TGs can lead to pancreatitis (23,26). The National Lipid Association recommends treating TG levels greater than 500mg/dl while the Endocrine Society recommends treating TGs if they are greater than 1000mg/dl to lower the risk of pancreatitis (27,28).

 

GOALS OF THERAPY

 

The current American College of Cardiology/American Heart Association (ACC/AHA) guidelines do not emphasize specific lipid/lipoprotein goals of therapy but rather to just treat with the statins to lower LDL-C by a certain percentage (29). An exception is that they do recommend in patients with very high-risk ASCVD, to use an LDL-C threshold of 70 mg/dL to consider addition of non-statins to statin therapy. In contrast, other groups, such as the National Lipid Association, International Atherosclerosis Society, European Society of Cardiology/European Atherosclerosis Society, and AACE, do recommend lowering the LDL and non-HDL cholesterol levels to below certain levels depending upon the cardiovascular risk in a particular patient but the recommendations from these organizations are not identical (28,30-33).

 

A detailed discussion of lipid/lipoprotein goals is provided in the chapter on Risk Assessment and Guidelines for the Management of High Blood Cholesterol (25). It should be noted that many lipid experts would recommend trying to achieve an LDL-C levels less than 70mg/dl and non-HDL-C levels less than 100mg/dl in patients with cardiovascular disease or patients at very high risk for the development of cardiovascular disease. In other patients, an LDL-C level less than 100mg/dl and non-HDL-C level less than 130mg/dl is a reasonable goal. AACE and European Society of Cardiology/European Atherosclerosis Society have recommended LDL-C levels less than 55mg/dl in patients at very high risk (30,31,33). With the results of the IMPROVE-IT trial and PCKS9 inhibitor studies, which showed that adding ezetimibe or a PCSK9 inhibitor to statin therapy resulted in an additional decrease in LDL-C levels and a further reduction in cardiovascular events, the arguments in favor of trying to reach lower lipid/lipoprotein goals has been greatly strengthened  (34-36). Moreover, the results of these and other studies provide strong support that the lower the LDL-C level the greater the reduction in cardiovascular events (37,38).     

 

TREATMENT TO REDUCE COMPLICATIONS OF DYSLIPIDEMIA

 

The first priority in treating lipid disorders is to lower the LDL-C levels to goal, unless TGs are markedly elevated (> 500-1000mg/dl), which increases the risk of pancreatitis. LDL-C is the usual first priority because the data linking lowering LDL-C with reducing cardiovascular disease are extremely strong and we now have the ability to markedly decrease LDL-C levels. Dietary therapy is the initial step but in the majority of patients’ dietary modifications will not be sufficient to achieve the LDL-C goals. If patients are willing and able to make major changes in their diet it is possible to achieve remarkable reductions in LDL-C levels but this seldom occurs in clinical practice (10). Additionally, the dietary changes need to be sustained for a long period of time to be effective and many patients while able to follow an LDL-C lowering diet in the short term are unable to follow the diet for an extended period of time.

 

Primary Prevention Patients

 

The first step is determining the risk for developing atherosclerotic cardiovascular disease. There are a number of different calculators for determining risk. In the US the most popular is the ACC/AHA risk calculator) (29) or the PREVENT risk calculator (39) whereas in Europe the SCORE (Systematic Coronary Risk Estimation) is popular (31,40). The ACC/AHA recommendations are shown in Figure 1 and the European Society of Cardiology/European Atherosclerosis Society recommendations are shown in Figure 2.

 

Figure 1. ACC/AHA Recommendations for Patients without ASCVD, Diabetes, or LDL-C greater than 190mg/dl (29). Risk enhancers are listed in table 13. (Note the risk is for MI and stroke, both fatal and nonfatal).

Table 13. ASCVD Risk Enhancers

Family history of premature ASCVD
Persistently elevated LDL > 160mg/dl
Chronic kidney disease
Metabolic syndrome
History of preeclampsia
History of premature menopause
Inflammatory disease (especially rheumatoid arthritis, psoriasis, HIV)
Ethnicity (e.g., South Asian ancestry)
Persistently elevated TGs > 175mg/dl
Hs-CRP > 2mg/L
Lp(a) > 50mg/dl or >125nmol/L
Apo B > 130mg/dl
Ankle-brachial index (ABI) < 0.9

Figure 2. European Society of Cardiology/European Atherosclerosis Society Recommendations for Primary Prevention Patients (31). Risk categories are shown in table 14 and goals of therapy in Table 15 and 16. (Note that the SCORE risk is for a fatal event). There are different tables for different European countries.

 

Table 14. Cardiovascular Risk Categories

Very High Risk

ASCVD

DM with target organ damage or at least three major risk factors or early onset of T1DM of long duration (>20 years)

Severe CKD (eGFR <30 mL/min/1.73 m2)

A calculated SCORE >10% for 10-year risk of fatal CVD

FH with ASCVD or with another major risk factor

High Risk

Markedly elevated single risk factors, in particular TC >310 mg/dL, LDL-C >190 mg/dL, or BP >180/110 mmHg

Patients with FH without other major risk factors

Patients with DM without target organ damage with DM duration >10 years or another additional risk factor

Moderate CKD (eGFR 3059 mL/min/1.73 m2).

A calculated SCORE >5% and <10% for 10-year risk of fatal CVD

Moderate Risk

Young patients (T1DM <35 years; T2DM <50 years) with DM duration <10 years, without other risk factors

Calculated SCORE >1 % and <5% for 10-year risk of fatal CVD.

Low Risk

Calculated SCORE <1% for 10-year risk of fatal CVD

 

Table 15. ESC/EAS LDL Cholesterol Goals

Very High Risk

LDL-C reduction of >50% from baseline and an LDL-C goal of <1.4 mmol/L (<55 mg/dL) is recommended

High Risk

LDL-C reduction of >50% from baseline and an LDL-C goal of <1.8 mmol/L (<70 mg/dL) is recommended

Moderate Risk

LDL-C goal of <2.6 mmol/L (<100 mg/dL) should be considered

Low Risk

LDL-C goal <3.0 mmol/L (<116 mg/dL) may be considered.

 

Table 16. ESC/EAS Goals of Therapy

 

Non-HDL-C

Apo B

Very High Risk

<85mg/d;

<65mg/dL

High Risk

<100mg/dL

<80mg/dL

Moderate Risk

<130mg/dL

<100mg/dL

 

A few caveats are worth noting. First, in patients less than 60 years of age it is very helpful to calculate the life-time risk of ASCVD events. Often one will find that the 10-year risk is modest, but the life-time risk is high and this information should be included in the risk discussion to help in the decision process. Second, patients should be made aware of the natural history of ASCVD i.e., that it begins early in life and slowly progresses overtime with high LDL-C levels accelerating the rate of development of atherosclerosis and low LDL-C leading to a slower progression of atherosclerosis (38,41). Third, patients should be made aware of genetic studies demonstrating that variants in genes that lead to lifetime decreases in LDL-C levels (for example the HMG-CoA reductase gene, NPC1L1 gene, PCSK9 gene, ATP citrate lyase gene, and LDL receptor gene) result in a decreased risk of cardiovascular events. In a recent study it was reported that a 10mg/dL lifetime decrease in LDL-C with any of these genetic variants was associated with a 16-18% decrease in cardiovascular events whereas a 10mg/dl reduction in LDL-C with lipid lowering therapy later in life results in only approximately a 5% decrease in cardiovascular events (37,42,43). The combination of the natural history and the results observed with genetic variants strongly suggests that early therapy to lower LDL-C levels will have greater effects on reducing the risk of ASCVD events than starting therapy later in life. This information needs to be discussed with the patient. Fourth, if the patient or health care provider are uncertain of the best course of action obtaining a cardiac calcium scan can be very helpful in the decision-making process, particularly in older individuals. A score of 0, particularly in an older patient would indicate that statin therapy is not needed whereas a score > 100 would indicate a need for statin therapy (29). A score of 1-99 favors the use of a statin (29).

 

In most primary prevention patients, statin therapy is sufficient to lower LDL-C levels to goal (< 100mg/dL or < 70mg/dL depending upon patient’s risk). One can usually start with moderate statin therapy (for example atorvastatin 10-20mg or rosuvastatin 5-10mg) and increase the statin dose, if necessary, to achieve LDL-C goals. Statins are available as generic drugs and therefore are relatively inexpensive. If a patient does not achieve their LDL-C goal on intensive statin therapy, cannot tolerate statin therapy, or is able to take only a low dose of a statin one can use ezetimibe (generic drug), bempedoic acid, bile acid sequestrants, or PCSK9 inhibitors to further lower LDL-C levels (for detailed discussion of cholesterol lowering drugs see (44)). It should be noted that the addition of ezetimibe or a PCSK9 inhibitor to statin therapy has been shown to reduce cardiovascular events (34-36). In most situations, ezetimibe is the drug of choice given its low cost, ability to reduce ASCVD events, and long-term safety record. If LDL-C is not close to goal PCSK9 inhibitors can be used. In patients intolerant of statin therapy bempedoic acid has been shown to reduce cardiovascular disease (45). Once LDL-C is at goal if the non-HDL-C remains high one can consider the approaches described in the section describing the approach to patients with LDL-C at goal with elevated TGs.

 

Patients with LDL Cholesterol Greater than 190mg/dl

 

When the LDL-C is greater than 190mg/dl the patient should be started on intensive statin therapy (atorvastatin 40-80mg per day or rosuvastatin 20-40mg per day). If the LDL-C goal is not achieved (usually < 100mg/dL but if patient is high risk < 70mg/dL) additional lipid lowering medications should be added. If the LDL-C is relatively close to goal one can use ezetimibe but if the LDL-C is far from the goal the use of a PCSK9 inhibitor should be employed. Because of the potential for a genetic disorder, either monogenic or polygenic, one should check family members for lipid abnormalities. If possible genetic testing for monogenic disorders causing hypercholesterolemia is recommended (46).

 

Patients with Diabetes

 

Most patients with diabetes (age 40-75) without risk factors should be started on moderate statin therapy (for example atorvastatin 10-20mg or rosuvastatin 5-10mg). In young individuals (< age 40) and older individuals (> age 75) one needs to use clinical judgment. Patients with diabetes with ASCVD or risk factors should be started on intensive statin therapy. In my opinion reasonable goals are shown in table 17 (similar to AACE and ADA guidelines) (30,47). If intensive statin therapy does not achieve LDL-C goals additional drugs can be added. If reasonably close to the LDL-C goal the initial drug added should be ezetimibe. If far from goal one could add a PCSK9 inhibitor. Once LDL-C is at goal if the non-HDL-C remains high one can consider the approaches described in the section describing the approach to patients with LDL-C at goal with elevated TGs.

 

Table 17. ASCVD Risk Categories and Treatment Goals

Risk Category

Risk Factors/10-year risk

LDL-C mg/dl

Non-HDL-C mg/dl

Extreme Risk

Diabetes and clinical cardiovascular disease

<55

<80

Very High Risk

Diabetes with one or more risk factors

<70

<100

High Risk

Diabetes and no other risk factors

<100

<130

 

Secondary Prevention Patients

 

Patients with ASCVD (secondary prevention patients) should be started on intensive statin therapy (atorvastatin 40-80mg per day or rosuvastatin 20-40mg per day). Given the extensive data showing that the lower the LDL-C the greater the reduction in ASCVD events most secondary prevention patients would benefit from the addition of ezetimibe to maximize LDL-C lowering without markedly increasing costs (37,38). The goal LDL-C in this patient population at a minimum is an LDL<70mg/dL but many experts and some guidelines would prefer an LDL-C<55mg/dL if possible. If on intensive statin therapy and ezetimibe treatment the LDL-C is far above goal one could consider adding a PCSK9 inhibitor (this is particularly necessary if the LDL-C is greater than 100mg/dL or the patient is at very high risk due to other factors (diabetes, cerebral vascular disease, peripheral vascular disease, recent MI, history of multiple MIs) (37,38).

 

Patients with LDL Cholesterol at Goal but High TGs (>150mg/dL to <500mg/dL)

 

Patients with an LDL-C at goal but high TG levels (>150mg/dL to <500mg/dL) will often have increased non-HDL-C levels. Numerous studies have shown that the risk of ASCVD events is increased in this patient population (48). The initial step should be to improve lifestyle, treat secondary disorders that may be contributing to the increase in TGs, and if possible, discontinue medications that increase TG levels. In the era of statin therapy, it is uncertain whether lowering TG levels in patients on statin therapy will further reduce cardiovascular events. Studies have not demonstrated a reduction in cardiovascular events when niacin is added to statin therapy and given the side effects of niacin enthusiasm for using niacin in combination with statins to reduce ASCVD is limited (49,50). Additionally, the ACCORD-LIPID trial failed to demonstrate that adding fenofibrate to statin therapy (51) and the PROMINENT trial failed to demonstrate that adding pemafibrate to statin therapy (52) reduces cardiovascular disease. Thus, there is little evidence that adding either niacin or a fibrate to statin therapy will be beneficial in reducing cardiovascular events.

 

The REDUCE-IT trial demonstrated that adding the omega-3-fatty acid icosapent ethyl (EPA; Vascepa) to statin therapy in patients with elevated TG levels reduced the risk of ASCVD events by 25% while decreasing TG levels by 18% (53). Similar results were seen in the JELIS and RESPECT-EPA trials (54,55). In these trials the reduction in TG levels was relatively modest and would not have been expected to result in the magnitude of the decrease in cardiovascular disease observed. Other actions of EPA, such as decreasing platelet function, anti-inflammation, decreasing lipid oxidation, stabilizing membranes, etc. could account for or contribute to the reduction in cardiovascular events (56). It should be recognized that the STRENGTH and OMEMI trials using EPA and DHA failed to reduce cardiovascular events despite reducing TG levels to a similar degree as in the REDUCE-IT trial (57,58). Whether EPA has special properties that resulted in the reduction in cardiovascular events in the REDUCE-IT, JELIS, and RESPECT-EPA trials or there were flaws in these trials is debated (56,59). Clinicians will need to balance the potential benefits vs. potential side effects and decide for the individual patient whether to treat with EPA (icosapent ethyl). For a detailed discussion of TG lowering drugs see the Endotext chapter on this topic (60).

 

Patients with Very High TG Levels (>500-1000mg/dL)

 

The main aim is to keep TG levels below 500 mg/dL to prevent TG-induced pancreatitis (26,61).

 

FAMILIAL HYPERCHYLOMICRONEMIA (FCS)

 

FCS is a rare autosomal recessive disorder due to an abnormality in the genes listed in table 9 that result in the absence of functional lipoprotein lipase (LPL) activity (61-63). Patients with FCS respond poorly to most TG lowering drugs (fibrates, omega-3-fatty acids, niacin) (61-63). A very low-fat diet (5-10% of total calories) is the most effective treatment but can be difficult for many patients to comply with (61-63). Orlistat has been effective in lowering TG levels (63). Apo C-III inhibitors are approved in the US and Europe and lower Apo C-III levels and are very effective in lowering TG levels in patients with FCS (60,63). Additionally, they also reduce episodes of pancreatitis (60).

 

MULTIFACTORIAL CHYLOMICRONEMIA SYNDROME (MCS)

 

MCS is due to the coexistence of a genetic predisposition (polygenic or heterozygous for genes that cause FCS) for hypertriglyceridemia with 1 or more secondary causes of hypertriglyceridemia (see tables 3 and 4) (18,26,61,62). Initial treatment is a very low-fat diet to reduce TG levels into a safe range (<1000mg/dL). Treating secondary disorders that raise TG levels and when possible, stopping drugs that increase TG levels is essential (18,26,61,62). If the TG levels remain above 500mg/dL the addition of fenofibrate or omega-3-fatty acids is indicated. Many patients with MCS are at high risk for ASCVD and therefore after TG levels are controlled the patient should be evaluated for cardiovascular disease risk and if indicated statin therapy initiated.   

 

Patients with High Lp(a) Levels

 

Life style changes do not significantly lower Lp(a) levels (64). The effect of lipid lowering drugs on Lp(a) levels is shown in Table 18. In patients with elevations in Lp(a) the initial therapy is to aggressively control the other cardiovascular disease risk factors. In some instances, one can use niacin, PCSK9 inhibitors, or in postmenopausal women estrogen to lower Lp(a) levels but the effect of these drugs on preventing cardiovascular events by lowering Lp(a) levels is uncertain (16,65). Studies of an antisense oligonucleotide or small interfering RNA (both not yet approved) directed at apo(a) have shown that these drugs can lower Lp(a) by >75% without effecting other lipoprotein levels (66,67). Lipoprotein apheresis can be employed to lower Lp(a) in patients with very high Lp(a) levels who continue to have cardiovascular events despite optimal medical management (68).  

 

Table 18. Effect of Lipid Lowering Drugs on Lp(a) Levels

Statins

No Effect or slight increase

Ezetimibe

No Effect or slight increase

Fibrates

No Effect

Niacin

Decrease 15-25%. Greatest decrease in patients with highest Lp(a) levels

PCSK9 Inhibitors

Decrease 20-30%

Estrogen

Decrease 20-35%

Mipomersen**

Decrease 25-30%

Lomitapide*

Decrease 15-20%

Evinacumab

No effect in homozygous familiar hypercholesterolemia

Decrease 16% in refractory hypercholesterolemia

CETP Inhibitors**

Decrease ~ 25%

Apo (a) antisense and siRNA**

Decrease > 75%

*only approved for the treatment of Homozygous FH; **not currently available

 

Decreased HDL Cholesterol Levels

 

Despite epidemiologic studies consistently showing that high HDL-C levels are associated with a decreased risk of cardiovascular disease there are no studies demonstrating that increasing HDL-C levels reduces cardiovascular disease (69). It should be recognized that the crucial issue with HDL may not be the HDL-C levels per se but rather the function of the HDL particles (69). Assays have been developed to determine the ability of HDL to facilitate cholesterol efflux from macrophages and these studies have shown that the levels of HDL-C do not necessarily indicate the ability to mediate cholesterol efflux (70). Similarly, the ability of HDL to protect LDL from oxidation may also play an important role in the ability of HDL to reduce ASCVD (71). Thus, the functional capability of HDL may be more important than HDL-C levels (69-71).

 

CONCLUSION

 

In summary, modern therapy demands that we aggressively evaluate and when indicated treat lipid disorders to reduce the risk of atherosclerotic cardiovascular disease and in those with very high TGs to reduce the risk of pancreatitis.

 

ACKNOWKEDGEMENTS

 

This work was supported by grants from the Northern California Institute for Research and Education.

 

REFERENCES

 

  1. Shapiro MD, Feingold KR. Monogenic Disorders Causing Hypobetalipoproteinemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  2. Shapiro MD, Feingold KR. Monogenic Disorders Altering HDL Levels. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  3. Feingold KR. The Effect of Endocrine Disorders on Lipids and Lipoproteins. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  4. Feingold KR. Dyslipidemia in Patients with Diabetes. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  5. Herink M, Ito MK. Medication Induced Changes in Lipid and Lipoproteins. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2018.
  6. Lacount S, Tannock LR. Dyslipidemia in Chronic Kidney Disease. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2025.
  7. Feingold KR. Obesity and Dyslipidemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  8. Feingold KR, Grunfeld C. The Effect of Inflammation and Infection on Lipids and Lipoproteins. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2025.
  9. Sarkar S, Brown TT. Lipid Disorders in People with HIV. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  10. Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  11. Patni N, Ahmad Z, Wilson DP. Genetics and Dyslipidemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  12. Levenson AE, de Ferranti SD. Familial Hypercholesterolemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  13. McNeal CJ, Peterson AL. Lipoprotein (a) in Youth. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  14. Warden BA, Fazio S, Shapiro MD. Familial Hypercholesterolemia: Genes and Beyond. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  15. Hegele RA, Boren J, Ginsberg HN, Arca M, Averna M, Binder CJ, Calabresi L, Chapman MJ, Cuchel M, von Eckardstein A, Frikke-Schmidt R, Gaudet D, Hovingh GK, Kronenberg F, Lutjohann D, Parhofer KG, Raal FJ, Ray KK, Remaley AT, Stock JK, Stroes ES, Tokgozoglu L, Catapano AL. Rare dyslipidaemias, from phenotype to genotype to management: a European Atherosclerosis Society task force consensus statement. Lancet Diabetes Endocrinol 2020; 8:50-67
  16. Khovidhunkit W. Lipoprotein(a). In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  17. Dron JS, Hegele RA. Polygenic influences on dyslipidemias. Curr Opin Lipidol 2018; 29:133-143
  18. Subramanian S. Hypertriglyceridemia: Pathophysiology, Role of Genetics, Consequences, and Treatment. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  19. Khovidhunkit W. Dysbetalipoproteinemia (Type 3 Hyperlipoproteinemia). In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2025.
  20. Shah AS, Wilson DP. Genetic Disorders Causing Hypertriglyceridemia in Children and Adolescents. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  21. Feingold KR. Utility of Advanced Lipoprotein Testing in Clinical Practice. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  22. Wilson DP, Jacobson TA, Jones PH, Koschinsky ML, McNeal CJ, Nordestgaard BG, Orringer CE. Use of Lipoprotein(a) in clinical practice: A biomarker whose time has come. A scientific statement from the National Lipid Association. J Clin Lipidol 2022; 16:e77-e95
  23. Messersmith A, Purbey R, Tannock LR. Risk of Fasting and Non-Fasting Hypertriglyceridemia in Coronary Vascular Disease and Pancreatitis. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2025.
  24. Daniels SR. Guidelines for Screening, Prevention, Diagnosis and Treatment of Dyslipidemia in Children and Adolescents. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  25. Feingold KR. Guidelines for the Management of High Blood Cholesterol. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2025.
  26. Feingold KR. Pancreatitis Secondary to Hypertriglyceridemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2022.
  27. Berglund L, Brunzell JD, Goldberg AC, Goldberg IJ, Sacks F, Murad MH, Stalenhoef AF, Endocrine s. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 2012; 97:2969-2989
  28. Jacobson TA, Ito MK, Maki KC, Orringer CE, Bays HE, Jones PH, McKenney JM, Grundy SM, Gill EA, Wild RA, Wilson DP, Brown WV. National Lipid Association recommendations for patient-centered management of dyslipidemia: part 1 - executive summary. J Clin Lipidol 2014; 8:473-488
  29. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Jr., Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143
  30. Handelsman Y, Jellinger PS, Guerin CK, Bloomgarden ZT, Brinton EA, Budoff MJ, Davidson MH, Einhorn D, Fazio S, Fonseca VA, Garber AJ, Grunberger G, Krauss RM, Mechanick JI, Rosenblit PD, Smith DA, Wyne KL. Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Management of Dyslipidemia and Prevention of Cardiovascular Disease Algorithm - 2020 Executive Summary. Endocr Pract 2020; 26:1196-1224
  31. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O, Group ESCSD. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188
  32. Expert Panel on Dyslipidemia. An International Atherosclerosis Society position paper: global recommendations for the management of dyslipidemia: executive summary. Atherosclerosis 2014; 232:410-413
  33. Patel SB, Wyne KL, Afreen S, Belalcazar LM, Bird MD, Coles S, Marrs JC, Peng CC, Pulipati VP, Sultan S, Zilbermint M. American Association of Clinical Endocrinology Clinical Practice Guideline on Pharmacologic Management of Adults With Dyslipidemia. Endocr Pract 2025; 31:236-262
  34. Cannon CP, Blazing MA, Giugliano RP, McCagg A, White JA, Theroux P, Darius H, Lewis BS, Ophuis TO, Jukema JW, De Ferrari GM, Ruzyllo W, De Lucca P, Im K, Bohula EA, Reist C, Wiviott SD, Tershakovec AM, Musliner TA, Braunwald E, Califf RM, Improve-It Investigators. Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes. N Engl J Med 2015; 372:2387-2397
  35. Sabatine MS, Giugliano RP, Keech AC, Honarpour N, Wiviott SD, Murphy SA, Kuder JF, Wang H, Liu T, Wasserman SM, Sever PS, Pedersen TR, Fourier Steering Committee Investigators. Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease. N Engl J Med 2017; 376:1713-1722
  36. Schwartz GG, Steg PG, Szarek M, Bhatt DL, Bittner VA, Diaz R, Edelberg JM, Goodman SG, Hanotin C, Harrington RA, Jukema JW, Lecorps G, Mahaffey KW, Moryusef A, Pordy R, Quintero K, Roe MT, Sasiela WJ, Tamby JF, Tricoci P, White HD, Zeiher AM, Odyssey Outcomes Committees Investigators. Alirocumab and Cardiovascular Outcomes after Acute Coronary Syndrome. N Engl J Med 2018; 379:2097-2107
  37. Feingold KR. Maximizing the benefits of cholesterol-lowering drugs. Curr Opin Lipidol 2019; 30:388-394
  38. Feingold KR, Chait A. Approach to patients with elevated low-density lipoprotein cholesterol levels. Best Pract Res Clin Endocrinol Metab 2022:101658
  39. Khan SS, Matsushita K, Sang Y, Ballew SH, Grams ME, Surapaneni A, Blaha MJ, Carson AP, Chang AR, Ciemins E, Go AS, Gutierrez OM, Hwang SJ, Jassal SK, Kovesdy CP, Lloyd-Jones DM, Shlipak MG, Palaniappan LP, Sperling L, Virani SS, Tuttle K, Neeland IJ, Chow SL, Rangaswami J, Pencina MJ, Ndumele CE, Coresh J, Chronic Kidney Disease Prognosis Consortium, the American Heart Association Cardiovascular-Kidney-Metabolic Science Advisory Group. Development and Validation of the American Heart Association's PREVENT Equations. Circulation 2024; 149:430-449
  40. Score working group E. S. C. Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 2021; 42:2439-2454
  41. Wilson DP. Is Atherosclerosis a Pediatric Disease? In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  42. Ference BA, Ray KK, Catapano AL, Ference TB, Burgess S, Neff DR, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Kastelein JJP, Nicholls SJ. Mendelian Randomization Study of ACLY and Cardiovascular Disease. N Engl J Med 2019; 380:1033-1042
  43. Cholesterol Treatment Trialists Collaboration, Baigent C, Blackwell L, Emberson J, Holland LE, Reith C, Bhala N, Peto R, Barnes EH, Keech A, Simes J, Collins R. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 2010; 376:1670-1681
  44. Feingold KR. Cholesterol Lowering Drugs. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2024.
  45. Nissen SE, Lincoff AM, Brennan D, Ray KK, Mason D, Kastelein JJP, Thompson PD, Libby P, Cho L, Plutzky J, Bays HE, Moriarty PM, Menon V, Grobbee DE, Louie MJ, Chen CF, Li N, Bloedon L, Robinson P, Horner M, Sasiela WJ, McCluskey J, Davey D, Fajardo-Campos P, Petrovic P, Fedacko J, Zmuda W, Lukyanov Y, Nicholls SJ, Clear Outcomes Investigators. Bempedoic Acid and Cardiovascular Outcomes in Statin-Intolerant Patients. N Engl J Med 2023; 388:1353-1364
  46. Berberich AJ, Hegele RA. Genetic testing in dyslipidaemia: An approach based on clinical experience. Best Pract Res Clin Endocrinol Metab 2022:101720
  47. ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Das SR, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Kosiborod M, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 10. Cardiovascular Disease and Risk Management: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S158-S190
  48. Sandesara PB, Virani SS, Fazio S, Shapiro MD. The Forgotten Lipids: Triglycerides, Remnant Cholesterol, and Atherosclerotic Cardiovascular Disease Risk. Endocr Rev 2019; 40:537-557
  49. Hps Thrive Collaborative Group, Landray MJ, Haynes R, Hopewell JC, Parish S, Aung T, Tomson J, Wallendszus K, Craig M, Jiang L, Collins R, Armitage J. Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med 2014; 371:203-212
  50. AIM-HIGH Investigators, Boden WE, Probstfield JL, Anderson T, Chaitman BR, Desvignes-Nickens P, Koprowicz K, McBride R, Teo K, Weintraub W. Niacin in patients with low HDL cholesterol levels receiving intensive statin therapy. N Engl J Med 2011; 365:2255-2267
  51. ACCORD Study Group, Ginsberg HN, Elam MB, Lovato LC, Crouse JR, 3rd, Leiter LA, Linz P, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, Grimm RH, Ismail-Beigi F, Bigger JT, Goff DC, Jr., Cushman WC, Simons-Morton DG, Byington RP. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med 2010; 362:1563-1574
  52. Das Pradhan A, Glynn RJ, Fruchart JC, MacFadyen JG, Zaharris ES, Everett BM, Campbell SE, Oshima R, Amarenco P, Blom DJ, Brinton EA, Eckel RH, Elam MB, Felicio JS, Ginsberg HN, Goudev A, Ishibashi S, Joseph J, Kodama T, Koenig W, Leiter LA, Lorenzatti AJ, Mankovsky B, Marx N, Nordestgaard BG, Pall D, Ray KK, Santos RD, Soran H, Susekov A, Tendera M, Yokote K, Paynter NP, Buring JE, Libby P, Ridker PM, Prominent Investigators. Triglyceride Lowering with Pemafibrate to Reduce Cardiovascular Risk. N Engl J Med 2022; 387:1923-1934
  53. Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT, Jr., Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM, Reduce-It Investigators. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med 2019; 380:11-22
  54. Yokoyama M, Origasa H, Matsuzaki M, Matsuzawa Y, Saito Y, Ishikawa Y, Oikawa S, Sasaki J, Hishida H, Itakura H, Kita T, Kitabatake A, Nakaya N, Sakata T, Shimada K, Shirato K, Japan, E. P. A. lipid intervention study Investigators. Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis. Lancet 2007; 369:1090-1098
  55. Miyauchi K, Iwata H, Nishizaki Y, Inoue T, Hirayama A, Kimura K, Ozaki Y, Murohara T, Ueshima K, Kuwabara Y, Tanaka-Mizuno S, Yanagisawa N, Sato T, Daida H, Respect-Epa Investigators. Randomized Trial for Evaluation in Secondary Prevention Efficacy of Combination Therapy-Statin and Eicosapentaenoic Acid (RESPECT-EPA). Circulation 2024; 150:425-434
  56. Mason RP, Sherratt SCR, Eckel RH. Omega-3-fatty acids: Do they prevent cardiovascular disease? Best Pract Res Clin Endocrinol Metab 2022:101681
  57. Nicholls SJ, Lincoff AM, Garcia M, Bash D, Ballantyne CM, Barter PJ, Davidson MH, Kastelein JJP, Koenig W, McGuire DK, Mozaffarian D, Ridker PM, Ray KK, Katona BG, Himmelmann A, Loss LE, Rensfeldt M, Lundstrom T, Agrawal R, Menon V, Wolski K, Nissen SE. Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial. JAMA 2020; 324:2268-2280
  58. Kalstad AA, Myhre PL, Laake K, Tveit SH, Schmidt EB, Smith P, Nilsen DWT, Tveit A, Fagerland MW, Solheim S, Seljeflot I, Arnesen H, Omemi Investigators. Effects of n-3 Fatty Acid Supplements in Elderly Patients After Myocardial Infarction: A Randomized, Controlled Trial. Circulation 2021; 143:528-539
  59. Goff ZD, Nissen SE. N-3 polyunsaturated fatty acids for cardiovascular risk. Curr Opin Cardiol 2022; 37:356-363
  60. Feingold KR. Triglyceride Lowering Drugs. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, . eds. Endotext. South Dartmouth (MA)2025.
  61. Chait A, Feingold KR. Approach to patients with hypertriglyceridemia. Best Pract Res Clin Endocrinol Metab 2022:101659
  62. Chait A, Eckel RH. The Chylomicronemia Syndrome Is Most Often Multifactorial: A Narrative Review of Causes and Treatment. Ann Intern Med 2019; 170:626-634
  63. Javed F, Hegele RA, Garg A, Patni N, Gaudet D, Williams L, Khan M, Li Q, Ahmad Z. Familial chylomicronemia syndrome: An expert clinical review from the National Lipid Association. J Clin Lipidol 2025;
  64. Enkhmaa B, Anuurad E, Berglund L. Lipoprotein (a): impact by ethnicity and environmental and medical conditions. J Lipid Res 2016; 57:1111-1125
  65. van Capelleveen JC, van der Valk FM, Stroes ES. Current therapies for lowering lipoprotein (a). J Lipid Res 2016; 57:1612-1618
  66. Wei T, Cho L. Recent lipoprotein(a) trials. Curr Opin Lipidol 2022; 33:301-308
  67. Jean-Gilles M, Gencer B. Therapeutic advances in the Lp(a) battle: what do we know and what are the most awaited novelties in the field? Curr Opin Lipidol 2025; 36:130-137
  68. Feingold KR. Lipoprotein Apheresis. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2023.
  69. Thomas SR, Zhang Y, Rye KA. The pleiotropic effects of high-density lipoproteins and apolipoprotein A-I. Best Pract Res Clin Endocrinol Metab 2022:101689
  70. Hovingh GK, Rader DJ, Hegele RA. HDL re-examined. Curr Opin Lipidol 2015; 26:127-132
  71. Navab M, Reddy ST, Van Lenten BJ, Anantharamaiah GM, Fogelman AM. The role of dysfunctional HDL in atherosclerosis. J Lipid Res 2009; 50 Suppl:S145-149

 

Changing the Course of Disease in Type 1 Diabetes

Dana VanBuecken, ARNP and Sandra Lord, MD contributed equally to submission

 

ABSTRACT

 

In the U.S. alone, more than one million people are living with type 1 diabetes (T1D) and approximately 50,000 individuals per year are newly diagnosed (1) (2). Recent epidemiological studies demonstrate that the global T1D incidence is increasing at a rate of approximately 3-4% per year, notably among younger children and among non-Hispanic Black and Hispanic individuals (3) (4). Despite improvements in insulins, insulin delivery methods, and home glucose monitoring, the vast majority of those with T1D do not achieve recommended levels of glycemic control. This is particularly true in childhood and adolescence, as reported by the T1D Exchange Quality Improvement Collaborative, which surveys people living with T1D from US adult and pediatric centers. Its most recent analysis of 2021-2022 glycemic trends reported a mean HbA1c of 8.6% in both the 1-15 and 16-25 age groups (5). In addition to the increased risk of morbidity and mortality, T1D places significant emotional and financial burdens on individuals, families, and society. These realities highlight the need for both better T1D therapies and the continued push towards the prevention of T1D. In recent decades, research efforts have described the natural history of T1D and expanded the ability to identify individuals at risk for the disease even before clinical onset, via the recognition of genetic markers or T1D-specific autoantibodies. The increasing ability to identify the at-risk population affords researchers the opportunity to intervene at progressively earlier stages in the disease. With the understanding that established islet autoimmunity, confirmed by the presence of multiple T1D autoantibodies, inevitably leads to symptomatic T1D, investigative efforts are shifting towards the delay or prevention of disease progression. Furthermore, with the mounting evidence that any amount of residual C-peptide improves long term clinical outcomes in T1D, some therapies aim to preserve remaining beta cell function in those with symptomatic disease. In this chapter, we review the epidemiology of T1D, genetic and environmental risk factors, the scientific underpinnings of previous and current approaches towards disease- modifying therapy, and future directions of clinical trials.

EPIDEMIOLOGY OF DIABETES

 

T1D, or autoimmune diabetes, represents 5-10% of diabetes, and like autoimmunity in general, T1D is increasing worldwide. The increase is likely attributable to environmental factors or epigenetic changes, as genetic changes don’t occur rapidly enough to explain such a dramatic increase. The SEARCH for Diabetes in Youth Study is a multicenter observational study investigating trends in incidence and prevalence of diabetes in American youth < age 20. SEARCH data suggests that the prevalence of T1D among non-Hispanic White youth is ~1/300 in the US by age 20 years. Between 2002 and 2018, the incidence of T1D among non-Hispanic White youth < age 20 years increased by an average of ~2.0% per year, with higher increases observed in Asian/Pacific Islander (4.84%), Hispanic (4.14%) and non-Hispanic Black populations (2.93%). (4). Similarly, the EURODIAB study evaluated T1D incidence trends in 17 European countries from 1989-2003 in youth < age 15 years and found an average annual incidence increase of 3.9%. This trend predicts a 70% increase in T1D prevalence between 2005-2020 among European youth < 15 years old (6) with the peak of diagnosis between ages 10-14 (7). While incidence and prevalence are well documented in children, T1D occurs in adults as well, at a frequency that is less certain; estimates are that at least 50% of all T1D cases are diagnosed in adulthood. The uncertainty is likely due to a less dramatic clinical presentation than is typically seen in children who present with T1D. The incidence of T1D varies tremendously by geographic location, with higher rates generally seen in countries located farther from the equator. Worldwide incidence data was reported in 2000 by the DIAMOND project (8), a WHO- sponsored effort to address the public health implications of T1D. The incidence of T1D between 1990 and 1994 in 50 countries is shown in Figure 1. Between 1990 and 1994, the incidence of T1D in individuals aged 0-14 years in both Finland and Sardinia was 37/100,000 individuals, whereas the incidence in both China and Venezuela was 0.1/100,000 individuals, a 350-fold difference.

Figure 1. Worldwide incidence of T1D 1990-1994, used with permission from International Diabetes Federation.

WHAT IS THE RISK OF TYPE 1 DIABETES?

 

As is true for Cindy, 85% of individuals who develop T1D have no family history of T1D; nonetheless, a family history of the disease does increase an individual’s relative risk. The prevalence of T1D in the US non-Hispanic White population by age 20 is ~0.3%, as compared with ~5% of those with a relative with T1D, a 15-fold increase in relative risk. This relative risk is depicted in Figure 2.

Figure 2. Among 300 people without a family member with diabetes, 1 will have T1D. Among 300 people with a family member with diabetes, 15 will have T1D.

The risk of T1D among family members varies depending on who the affected family member is, as shown in Table 1.

 

Table 1. Prevalence of T1D in Individuals with a Family History of T1D.

Relative with T1D

Prevalence at age 20

Reference

Mother

~2%

(9) (10)

Father

~6%

 (9) (10)

Non-twin sibling

~6%

(11)

Dizygotic (fraternal) twin

~10%

(11) (12)

Monozygotic (identical) twin

>50%

(13)

 

The heritability pattern suggests that both genes and environment contribute to risk. Curiously, the risk of T1D in offspring is higher if the father has T1D (~6%) as compared to if the mother has T1D (~2%) (9) (10). Moreover, the risk to a dizygotic twin is slightly higher (~10%) than is the risk to a non-twin sibling with similar HLA risk genes (~6%) (11) (12) suggesting that the intrauterine environment and/or similar early life exposures may be important. Lastly, the risk to a monozygotic twin is upwards of ~50%; surprisingly the second twin’s diagnosis may occur many decades after the index twin, highlighting the complexities of gene and environmental interactions that underlie the disease (13).

THE NATURAL HISTORY TYPE 1 DIABETES

 

T1D is an immune-mediated disease that begins in the setting of genetic predisposition and then progresses along a predictable path: early islet autoimmunity (one autoantibody), established islet autoimmunity (two or more autoantibodies), abnormal glucose tolerance, symptomatic T1D with some remaining beta cell function, and finally, little or no remaining beta cell function. This understanding comes from decades of effort by multiple investigators and from participation by thousands of patients with T1D and their family members. George Eisenbarth’s description of T1D as a chronic autoimmune disease, manifested by autoimmunity and a gradual linear fall in beta cell function until there is insufficient beta cell mass to suppress symptomatic hyperglycemia, has served for decades as the T1D natural history paradigm (14). The “Eisenbarth” model has undergone refinements in recent years; namely, although autoimmunity and beta cell dysfunction do appear prior to diagnosis, these changes are often step-wise and non-linear. Furthermore, beta cell destruction may not be absolute. Nonetheless, the paradigm is largely correct and serves as the underlying rationale for T1D trials.

 

The long pre-symptomatic natural history of T1D presents an opportunity to intervene earlier than is done currently. Diabetes-specific autoantibodies can appear many years before clinical diagnosis and may reliably be used to predict disease progression. In 2015, JDRF (renamed Breakthrough T1D), the Endocrine Society, and the American Diabetes Association proposed a new T1D staging system which underscores that T1D begins with islet autoimmunity rather than with symptomatic hyperglycemia (15). Stage 1 T1D is defined as the presence of 2 or more autoantibodies with normoglycemia; stage 2 T1D is 2 or more autoantibodies, impaired glucose tolerance and no symptoms; stage 3 T1D is symptomatic disease. The staging system is depicted in figure 3.

Figure 3. Current staging classification of Type 1 diabetes. Stages of Type 1 Diabetes. Adapted from internet image. Modified from https://www.trialnet.org/events-news/blog/type-1-diabetes-staging-classification-opens-door-intervention. Used with permission.

HOW TO DETERMINE RISK OF T1D

 

Risk of T1D may be determined by the identification of autoantibodies, usually in those identified as having genetic risk through HLA testing or by family history. Autoantibodies are detectable years before the onset of clinical T1D.

 

Determining Risk: Genes

 

With the knowledge that T1D runs in families and with advances in technology, investigators have described the genetic risk of T1D. T1D risk is strongly linked to HLA class II DR3 and DR4 haplotypes, with the highest risk in those with the DR3/DR4 genotype. The importance of HLA genes to T1D risk highlights the role of the adaptive immune system in the development of autoimmunity. Newer studies have discovered multiple other genes that also contribute to T1D risk (16). They are largely genes also known to impact immune function; however, their contribution is dwarfed by the impact of HLA genes. Interestingly, recent work suggests that HLA genes primarily contribute to development of autoantibodies, while non-HLA genes and environmental factors may be more important in the progression from autoantibodies to clinically overt disease (17) (18). The description of non-HLA risk genes (such as the genes for insulin, a major T1D autoantigen) highlights other potential pathways to disease and potential therapies. Although the contribution of HLA class II risk genes overwhelms the contribution of non-HLA risk genes, the HLA contribution may be decreasing as the overall incidence of T1D increases. This suggests that in a population with non-HLA genetic susceptibility, the environment may have become more conducive to the development of T1D. This was reported in a 2004 Lancet article by Gillespie, et al., in which the investigators compared the frequency of HLA class II haplotypes in a UK cohort of 194 individuals diagnosed with T1D between 1922-1946 (the Golden Years cohort) to a cohort of 582 individuals diagnosed between 1985-2002 (the BOX cohort) (19). In this comparison, shown in Figure 4, 47% of individuals in the Golden Years cohort were positive for the highest risk genotype DR3-DQ2/DR4-DQ8, compared to 35% of individuals in the BOX cohort.

Figure 4. Decreased contribution of high-risk HLA haplotypes over time. HLA class II haplotypes in Golden Years and BOX cohorts, adapted from Gillespie et.al Lancet 2004 (19).

Determining Risk: Family History and Islet Cell Autoantibodies

 

Natural history studies of relatives such as Diabetes Prevention Trial (DPT-1) and Diabetes TrialNet Pathway to Prevention have helped define the risk of T1D in those with a family history of T1D. Since 2000, Diabetes TrialNet has screened over 250,000 relatives of people with T1D, aiming to enroll at-risk individuals in prevention trials. Among relatives of people with T1D, ~5% will have at least one of five islet autoantibodies (20). TrialNet screens for islet cell antibodies (ICA), autoantibodies to insulin (IAA or mIAA), antibodies to a tyrosine phosphatase (IA-2; previously ICA512), antibodies to glutamic acid decarboxylase (GAD), and antibodies to a zinc transporter (ZnT8). With each additional autoantibody, the risk of T1D increases predictably. Unsurprisingly, those with islet autoimmunity and abnormal glucose tolerance are at an even further increased risk of symptomatic T1D. The TrialNet strategy to identify islet autoimmunity among relatives of individuals with T1D is shown in Figure 5. There are other screening programs  ongoing outside of TrialNet in both the US and outside the US, including some general population screening efforts.(21) (22) (23).

Figure 5. Diabetes TrialNet process for identifying relatives with islet autoimmunity.

Natural history studies have shown not only that islet autoimmunity predicts T1D risk, but also that islet autoantibodies usually appear early in life; 64% of babies destined to develop T1D before puberty will have antibodies by age 2 and 95% by age 5 (24). Furthermore, the data from both prospective birth cohort studies (25) and cross-sectional studies (26) (27) (28) (29) are remarkably consistent and suggest that the risk of progression from established autoimmunity to clinical T1D is in the range of 40% after 5 years, 70% after 10 years, and 85% after 15 years. This risk overtime is depicted in Figure 6. The key understanding from natural history studies is that essentially all individuals with confirmed islet autoimmunity will eventually develop clinical T1D at a rate of 11% per year.

Figure 6. Established islet autoimmunity inevitably progresses to clinical T1D. Extrapolated data from multiple studies in genetically at-risk individuals (27) (29) (26) (28).

Identifying individuals with islet autoimmunity has three potential benefits; namely, the opportunity to monitor closely for disease progression, conferring a reduced risk of morbidity and mortality at the time of T1D diagnosis, the opportunity to receive therapy to delay disease progression (currently teplizumab is the only FDA approved therapy, see section below), and the identification of individuals who may be eligible for clinical trials. It is perhaps underappreciated that there is potentially a direct clinical benefit to identifying those with islet autoimmunity.  Individuals with islet autoimmunity followed regularly until symptomatic diagnosis present with lower HbA1c and experience less DKA than those diagnosed in the community (Table 2) (30) (31) (32) (33) (34). In addition to reduced acute DKA-associated morbidity and mortality, avoidance of DKA at the time of diagnosis may have longer term glycemic benefits that are independent of treatment-related, socioeconomic and demographic variables, although data are mixed on this finding (35) (36) (37) (38).  For this reason, since 2025, the ADA has recommended that “autoantibody-based screening for presymptomatic type 1 diabetes should be offered to those with a family history of type 1 diabetes or otherwise known elevated genetic risk.” (39).

 

Table 2. Individuals Diagnosed with T1D While Enrolled in a Clinical Trial have Less Morbidity at the Time of Diagnosis. (30) (31) (32) (33) (34)

 

STUDY

HbA1c at time of T1D

diagnosis

% with DKA at time of T1D

diagnosis

 

Enrolled in study

Usual care

Enrolled in study

Usual care

SEARCH

 

 

 

25.5%

BABYDIAB

8.6%

11.0%

3.3%

29.1%

DPT-1

6.4%

 

3.7%

 

DAISY

7.2%

10.9%

< 4%

 

TEDDY < age 5

 

 

13.1%

 

SEARCH < age 5

 

 

 

36.4%

BABYDIAB < age 5

 

 

 

32.3%

 

STRATEGIES TO BRING SCREENING FOR RISK TO CLINICAL PRACTICE

 

Screening relatives identifies a population with pre-symptomatic T1D; however, at least 85% who get T1D have no relatives with disease. Thus, to truly prevent all symptomatic T1D, testing of the general population would have to occur. This could be done with current technology by testing all babies for genetic (HLA) risk at birth and then following with antibody testing. The Population Level Estimate of type 1 Diabetes risk Genes in children (PLEDGE) study enrolls newborns from the general population and offers one-time genetic testing and follow-up autoantibody testing at 2 and 4-6 years of age (21). The study aims to demonstrate feasibility and to develop evidence to support eventual inclusion of a T1D screening program in standard primary care.

 

Other studies, such as The Environmental Determinants of Diabetes in the Young (TEDDY) study, the Diabetes Autoimmunity Study in the Young (DAISY), and the Global Platform for the Prevention of Autoimmune Diabetes (GPPAD) are exploring similar methodologies to screen and monitor for risk (24, 39, 40). However, with an increasing number of individuals developing T1D even without the high-risk HLA types, such approaches may still miss some destined to develop disease. 

 

An alternative risk detection strategy for those without a family history may be to perform point-of-care antibody testing in a routine pediatric visit. Since almost all who develop diabetes before puberty will have antibodies by age 5; such testing could be done at age 4-5 and perhaps once again in the teenage years. This method will still miss those who develop T1D before this age but would likely be a cost- effective approach to finding those at risk.

 

There are other projects aimed at screening members of the general population for diabetes autoantibodies even without prior HLA testing (22) (23) (40). Key to general population screening is the observation that once multiple autoantibodies are present, progression to symptomatic disease is inevitable, regardless of family history or HLA-defined genetic risk (26). The rate of progression from pre-symptomatic to symptomatic T1D is affected by a number of factors including age (41) and number of autoantibodies (42).

 

A general population screening program in Bavaria, Germany, the Fr1da study (43) enrolled children ages 1.75 – 5.99 between 2015 and 2019 and ages 1.75 – 10.99 since 2019.  Over 165,000 children had been screened as of December 2022. Initial autoantibody testing is performed via capillary blood sampling during a pediatric well child visit and positive results are confirmed by a venous blood draw.  Families are invited to participate in education, counseling, and glycemic monitoring programs. It is anticipated that Fr1da will provide a wealth of information including the prevalence of pre-symptomatic T1D; disease progression in a population without genetic enrichment; the feasibility of screening in the general population; and the benefits and hazards of general population screening (43).

 

A 2020 analysis of 2015-2019 Fr1da data showed an islet autoantibody prevalence rate of 0.3% in ~90,000 children screened to date, median age 3.1 years [2.1-4.2] (44). The same analysis showed that although parents whose children tested positive for islet autoantibodies had increased stress compared to parents whose children tested negative, stress levels declined after 12 months of follow-up. In 2023 Fr1da investigators reported that ~170,000 children had been screened to date, 473 (0.3%) children had tested positive with multiple islet autoantibodies, and 128 children had progressed to symptomatic T1D.  They found that children with pre-symptomatic T1D enrolled in Fr1da had “milder” diabetes at the time of symptomatic diagnosis compared to a cohort of 736 children diagnosed without pre-symptomatic screening, from the German DiMelli study, a cohort and biobank study of incident diagnosis of childhood and adolescent T1D (45). Unsurprisingly, children who were enrolled in Fr1da at the time of symptomatic diagnosis had lower HbA1c and fasting blood glucose levels, higher fasting C-peptide levels, less ketonuria, a lower prevalence of DKA and less weight loss compared to children diagnosed without pre-symptomatic screening from the DiMelli cohort. (46).

 

An important unanswered question is the ideal age(s) to screen. A 2022 analysis of data from five prospective cohorts suggested that ages two and six might be optimal, with a sensitivity of 82% and a positive predictive value of 79% for diagnosis by age 15, but this approach would miss those who are diagnosed in adulthood, which represents up to 50% of all T1D diagnoses, and those diagnosed prior to age two (47).

Source: (39)

PRENATAL INFLUENCES

 

The prenatal environment can have profound effects on the developing fetus. With the recognition that antibodies often develop early in life and that essentially all those with established islet autoimmunity (two or more autoantibodies) will eventually develop symptomatic T1D, investigators have studied the prenatal period to search for factors that could contribute to disease development in utero. As shown in Table 3, decades of observational studies have yielded inconsistent results. Yet this remains an important area of investigation and one that may lead to primary prevention strategies for T1D. The Environmental Determinants of Islet Autoimmunity (ENDIA) study is an ongoing prospective birth cohort study in Australia that enrolled infants and unborn infants of first degree relatives with T1D. Biologic samples including blood, stool, and saliva will be collected longitudinally for investigation of factors including viral exposures during pregnancy and early childhood, maternal and fetal microbiome, delivery method, maternal and early infant nutrition, pregnancy and early childhood body weight, and both innate and adaptive immune function. In 2018, the ENDIA study completed target enrollment of ~1500 subjects, who will be followed regularly until the development of islet autoimmunity (48).

 

Table 3. Potential Prenatal Influences on T1D Risk

Pre-natal or intrauterine exposure

Relative risk to offspring

Reference

Maternal age

Inconsistent data

(49) (50) (51)

Birth weight > 2 SD above norm (~4000g)

Inconsistent data

(52) (53) (54)(55) (56)

Birth weight < 2 SD below norm (~2500g)

Inconsistent data

(54) (55) (56)

Birth order: second and later borns

Inconsistent data

(51) (57) (58)

Birth interval < 3 years

Inconsistent data

(51) (59)

Caesarean delivery

Inconsistent data

(56) (60) (61)

Pre-eclampsia

Inconsistent data

(56) (62)

Pre-term delivery (<37 weeks gestation)

Inconsistent data

(56) (63)

Maternal vitamin D supplementation

Inconsistent data

(64) (65) (66)(67)

Maternal antibiotic use

No association

(58) (68)

maternal BMI/pregnancy weight gain

No association

(56) (69)

Maternal omega 3 fatty acid supplementation

No association

(65) (70) (71)

 

Source: (72)

Investigators also have studied the early childhood period for clues to the causes of islet autoimmunity and T1D; these have included both observational studies and randomized clinical trials. Such influences might be divided into early nutritional exposures and early microbial/infectious exposures, both of which can affect development of the normal immune system. The inconsistent findings relating to environmental factors reported from observational studies and clinical trials led to the design and implementation of a large international comprehensive evaluation of genetically at-risk babies using cutting edge technologies to study genetics, genomics (gene function), metabolomics, and the microbiome. The Environmental Determinants of Diabetes in the Young (TEDDY) is an international prospective birth cohort study that recruited almost 8,000 babies at increased risk for T1D (based on HLA and family history) from Finland, Germany, Sweden, and the US from 2004- 2010. Information on environmental exposures such as diet (including breastfeeding history), infections, vaccinations, and psychosocial stressors were collected. Participants are followed until the age of 15 for the development of islet autoimmunity or T1D and data collection will be finalized in 2025 (73). A 2024 review described key TEDDY findings to date, including the description of two islet autoimmunity phenotypes (“IAA-first” and “GADA-first”) and that environmental exposures such as enterovirus infection and gastroenteritis may affect the phenotypes differently (74). This observation was detailed in a 2023 paper that reported gastrointestinal infections prior to 1 year of age were associated with increased IAA risk whereas gastrointestinal infections during the second year of life were associated with a decreased IAA risk (75).

 

EARLY NUTRITIONAL EXPOSURES

 

Breastfeeding

 

The hypothesis that human breastmilk may protect against future T1D development was presented as early as 1984 (76). Since then, there have been several prospective cohort studies to suggest that breastmilk lowers the risk of islet autoimmunity and T1D, including the German BABYDIAB/BABYDIET study (77), the Colorado-based DAISY study (78), and the Norwegian MIDIA study (79), but others show no effect (80). Although the data on whether breastmilk is protective against T1D isn’t clear, it certainly isn’t harmful. Given the well-established general benefits of breastfeeding, patients may safely be advised to follow the American Academy of Pediatrics’ guidelines related to infant feeding. The mechanism by which breastmilk may lower the risk of T1D is uncertain, but one theory suggests that breastmilk has positive effects on the infant microbiome. The microbiome is discussed in greater detail below.

 

Cow’s Milk and Bovine Insulin Exposure

 

In contrast to considering breastfeeding as potentially beneficial in protecting against autoimmunity, it was hypothesized that early introduction of cow’s milk or cow protein might accelerate disease. This concept was tested in the Trial to Reduce IDDM in the Genetically at Risk (TRIGR) which asked whether weaning to hydrolyzed casein (which is free of bovine proteins including insulin) formula (n=1081) instead of regular cow’s milk formula (n=1078) in genetically at- risk infants could prevent or delay T1D. Though the TRIGR pilot study suggested benefit, no benefit was seen in the fully powered study (81, 82). Similarly, The Finnish Dietary Intervention Trial for the Prevention of Type 1 Diabetes of (FINDIA) suggested that weaning to hydrolyzed cow’s milk formula was not effective in reducing the appearance of autoantibodies, though they did report that a patented cow’s milk formula specifically removing bovine insulin appeared to be beneficial in this pilot study (83). While additional studies may be informative, current data does not support that weaning to hydrolyzed cow’s milk formula is protective against islet autoimmunity.

 

Gluten Exposure

 

BABYDIAB (84), DAISY (85), and TEDDY (86) suggested an association between introduction of gluten and islet autoimmunity. However, these studies had different results as to the timing of gluten introduction, highlighting the complex relationship between environmental exposures and immune response. Similarly, no effect was found in the BABYDIET study; a randomized controlled trial that asked whether delayed introduction of gluten to 6 vs 12 months would affect the risk of diabetes autoimmunity (87) (88).

 

Vitamin D and/or Omega 3 Fatty Acid

 

Vitamin D is an important component of a normal immune response; moreover, the higher incidence of T1D in northern climates suggests that vitamin D deficiency could contribute to autoimmunity and T1D. However, data from observational studies is mixed on whether vitamin D and/or omega 3 supplementation is beneficial or not (65) (89) (90) (91) (92) (93) (94). A pilot randomized trial of omega 3 supplementation to pregnant mothers and infants failed to demonstrate a profound immunologic effect of treatment (95). With routine vitamin D supplementation recommended for infants (96), it is unlikely that a fully powered randomized trial would be feasible to assess the impact on autoimmunity.

 

MICROBIAL EXPOSURES

 

The Hygiene Hypothesis

 

Parallel to the rising incidence of T1D and other autoimmune diseases, there has been a worldwide trend towards urbanization, increased standard of living, smaller family sizes, less crowded living conditions, safer water and food supplies, less cohabitation with animals, wide use of antibiotics, childhood vaccination, etc. While these trends are generally considered improvements in human existence, the so-called “hygiene hypothesis,” proposed by Strachan in 1989 (97) suggests a possible downside; that is, that early microbial exposures might have a protective effect via the early education of the immune system and the development of normal tolerance to self-antigens. Data cited in support of the hygiene hypothesis comes from comparisons between eastern Finland and Russian Karelia (Figure 7) (98) (99) (100).

Figure 7. Border between Finland and Russian Karelia, with a 6-fold difference in the incidence of T1D, from "Karelia today”. The countries share a common border and ancestry and thus have similar geography, climate, vitamin D levels, and prevalence of HLA risk haplotypes. However, Finland has 6- fold higher incidence of T1D. This markedly higher rate of T1D is accompanied by a much lower rate of infectious disease. In Finland as compared to Karelia 2% vs 24% had hepatitis A; 5% vs 24% had toxoplasma gondii; and 5% vs. 73% for helicobacter pylori. There is an ongoing study aiming to better understand the mechanisms that may underlie these differences.

The Microbiome

 

Another possible interface between microbial exposure and human disease is through the microbiome; that is the complex community of microorganisms and their metabolites that live on and inside us.  The human microbiome largely is established within the first 3 years of life (101). It has been hypothesized that perturbations in normal early microbiome development might pre-dispose to disease whether through direct modulation of innate immunity or via alteration of intestinal permeability and the downstream       effects on adaptive immunity. Interestingly, it appears that the gut microbiome is less diverse and less “protective” in individuals with islet autoimmunity or recent onset T1D (102) (103) (104). Whether this difference is cause, effect, or correlation isn’t known. Nonetheless, multiple factors might affect the early intestinal microbiome, some of which also have been shown to correlate with risk of islet autoimmunity and T1D. For example, breastfeeding can alter the intestinal microbiome of the infant by increasing the number and diversity of beneficial microbiota (105) (106). As previously discussed, multiple prospective observational studies suggest that breastfeeding protects against future development of islet autoimmunity and T1D, but there’s no evidence to connect this directly to the infant microbiome.

 

Viral Infections

 

A viral etiology for initiation of autoimmunity is an attractive idea; a beta cell trophic virus could contribute to disease by directly killing beta cells, by leading to a chronic infection which triggers an immune response, or by molecular mimicry in which self-antigens are erroneously recognized as viral epitopes targeted for destruction. Notably, these possible mechanisms would not necessarily point to a particular virus; any virus widespread in a population could theoretically lead to autoimmunity in genetically susceptible individuals if encountered at a vulnerable time in immune system or beta cell development. With the notable exception of congenital rubella which is associated with type 1 diabetes (107), other data relating viruses to initiation of autoimmunity is less conclusive. While some studies have reported viral “footprints” in islets from individuals who have died from T1D, these have not been consistently confirmed. Similarly, many studies have focused on enteroviruses, including coxsackie B, due to observations suggesting seasonal variation in antibody development that is reminiscent of the timing of such infections (108) (109), yet this remains controversial. A 2019 TEDDY study (see earlier description) analysis evaluated DNA and RNA viral shedding in stool and subsequent development of islet autoimmunity and T1D. Investigators found that prolonged Enterovirus B viral shedding rather than multiple short duration infections may contribute to the development of islet autoimmunity in some young children. Furthermore, they reported that fewer early life (prior to 6 months) adenovirus infections positively correlated with subsequent islet autoimmunity (110).

 

Aside from a viral role in the initiation of autoimmunity, others have proposed that acute viral infections may impact the transition from islet autoimmunity to symptomatic T1D due to increased insulin demand during infections. Patients commonly report an acute viral illness preceding the diagnosis of T1D, and the symptomatic onset of T1D more commonly presents in the fall and winter months in both the northern and southern hemispheres (111); but this does not imply a causal relationship.

 

Vaccinations

 

In recent decades, an increasing number of parents in Western countries have declined routine childhood vaccination of their children, which has created a situation with significant personal and public health consequences. Multiple high-quality studies have thoroughly investigated vaccinations (including COVID-19 vaccination) (112) and T1D, and none have found any association with islet autoimmunity or T1D (113) (114) (115) (116) (117).  

Sources: (96) (113) (114) (115) (116, 117) (118)

DISEASE-MODIFYING THERAPY FOR PRE SYMPTOMATIC T1D

 

As previously discussed, the ability to recognize autoimmunity (via the detection of autoantibodies) in subjects before the symptomatic onset of T1D affords the possibility of designing trials specifically for the high-risk population. As codified by T1D stages, pre-symptomatic T1D  is a disease that warrants treatment to delay symptomatic T1D, just as hypertension warrants treatment to prevent stroke and myocardial infarction.. Some potential strategies are discussed in the following section.

 

Many T1D studies have tested antigen-based therapies. With this type of therapy, the concept is that administration of a specific antigen could shift the immune response towards tolerance of the antigen. For example, in allergy desensitization therapy, small amounts of antigen are repeatedly administered to ‘teach’ the immune system to be tolerant of the foreign protein so that the immune system no longer reacts. In T1D, the aim is to administer self-antigens in order to tolerize the immune system to beta-cell-derived proteins and downregulate the immune attack. Theoretically this can be done through oral, nasal, subcutaneous, or parenteral administration of antigen, with or without repeated dosing. Conceptually, antigen therapy should be more effective early in the disease process (i.e., to prevent progression from islet immunity to symptomatic disease rather than in those already clinically diagnosed) and thus most studies have targeted the at-risk population.

 

Perhaps the most rigorously tested antigen therapy for pre-symptomatic T1D is insulin, as in the GGAP-03 POInt, DPT-1, TrialNet oral insulin, DIPP, and INIT II trials, described next. The Breakthrough T1D (formerly known as JDRF)-funded GGAP-03 POInT Trial, a primary intervention dose-finding study, is evaluating whether or not early exposure to oral insulin, even before those with high genetic risk develop autoantibodies, may confer greater benefit (119). Preliminary results from the pre-POINT pilot trial suggest that higher doses of oral insulin may elicit greater immunologic response (120). In the Diabetes Prevention Trial (DPT-1), 372 family members of T1D probands who were positive for both ICA and mIAA were assigned to receive either daily oral insulin or placebo (121). While this trial did not meet its primary endpoint, post-hoc analysis showed a delay in disease onset in participants with the highest levels of insulin autoantibodies. Specifically, those with a mIAA titer≥80 nU/ml showed a 4.5-year delay in disease onset and those with a mIAA titer ≥300nU/ml showed a 10-year delay in disease onset (122) (123). In response to these intriguing findings, Diabetes TrialNet launched a larger study to determine whether or not these results could be replicated. While the fully-powered TrialNet study showed no benefit to oral insulin in the primary cohort of more than 300 individuals, an independently- randomized cohort of 55 positive antibody individuals who had low first phase insulin response at baseline had a significant delay in disease progression in those treated with oral insulin (124). This finding raised the possibility that oral insulin may benefit those who are closer to symptomatic diagnosis; that is, those with more active disease.

 

In addition to studying oral insulin, the DPT-1 evaluated the effect of parenteral insulin on individuals who were considered to have the highest risk for T1D. These participants were ICA positive with abnormal beta-cell function (dysglycemia on an OGTT or low first phase insulin response on IVGTT). These 339 high risk participants were assigned to either close observation or low dose subcutaneous ultra-Lente insulin in addition to annual four-day continuous insulin infusions. While the therapy was found to be ineffective in preventing the progression to T1D, there was no excessive hypoglycemia, and a subset analysis found a temporary decrease in the immune response to beta cell proteins (125).

 

To date, trials with intranasal insulin have proven safe but ineffective in preserving insulin secretion. The Type 1 Diabetes Prediction and Prevention Study (DIPP), a randomized controlled trial evaluating the effects of intranasal insulin in children with high-risk genotypes and autoantibody positivity, was negative. When intranasal insulin was administered soon after the detection of autoantibodies, there was no delay in the progression to T1D (126). Similarly, the Intranasal Insulin Trial II (INIT II), which tested a different dose and dosing schedule of nasal insulin in a phase II prevention trial, showed that intranasal insulin was safe and induced an immune response, but this did not alter the progression to T1D. Participants were first- degree relatives of T1D probands with autoantibody positivity (127).

 

Another approach to antigen therapy is to use a plasmid to transfer DNA into cells, where it encodes for a given antigen, a technique that should decrease the anti-inflammatory response from intravenous, subcutaneous, oral, or nasal antigen delivery. This technique was tested in the TrialNet TOPPLE T1D Study, a phase 1 trial  to evaluate the safety of a plasmid therapy called NNC0361-0041 in adults with recent-onset T1D. NNC0361-0041 encodes for four different human proteins: pre- proinsulin (PPI), transforming growth factor β1 (TGF- β1), interleukin-10 (IL-10), and interleukin-2 (IL-2) (128). Results of this trial are expected in 2025.

 

Antigen therapy may be more effective in both new- onset and at-risk populations when combined with other immune-modulating agents. For example, a phase 1b/2a study tested  the safety and tolerability of different doses of an oral therapy called AG019 administered alone or in association with teplizumab infusions (see below) in individuals with recent-onset T1D. AG019 consists of live Lactococcus lactis bacteria, genetically modified to secrete human proinsulin and human interleukin 10. AG019 was shown to be safe and well tolerated both as monotherapy and in combination with teplizumab; for the combination group changes in pre-proinsulin specific CD8+ T cells were seen (129). While some trials have tested antigen-based therapies to treat islet immunity and prevent progression to symptomatic disease, others are building on successful studies of immunomodulating therapy in individuals with recently diagnosed T1D. Examples include abatacept (Orencia; CTLA4 Ig) and teplizumab (Anti-CD3), both of which have been shown to slow loss of beta cell function post diagnosis. (See Recent Clinical Trials with Compelling Results and Figure 8). Abatacept was tested in a trial of 212 participants with stage 1 T1D who received monthly infusions of abatacept or placebo for 12 months. The primary endpoint was progression to stage 2 or 3 T1D.  Although abatacept treatment did not delay disease progression, immune cell subsets were impacted, and C-pepT1De secretion was preserved in abatacept treated individuals while on treatment (130).

 

In 2019, TrialNet published results of its placebo-controlled trial testing teplizumab in 76 individuals with Stage 2 T1D. The trial demonstrated that a two-week course of teplizumab delayed the onset of clinical T1D by two years and halved the rate of clinical diagnoses (131). This trial was highly significant in that it was the first ever to show that clinical T1D can be delayed in children and adults at high risk. The latest findings from this trial, published in March of 2021, show ongoing delay of clinical disease in the teplizumab treated group, with a median time to diagnosis of approximately 60 months (5 years) vs. approximately 27 months (2.3 years) in the placebo group (132). FDA approval for use of teplizumab in individuals with stage 2 T1D aged 8 years and older was granted in 2022—the first approved therapy to delay the symptomatic diagnosis of any autoimmune condition.  Efforts are underway to lower the teplizumab approval age. 

 

Table 4. Clinical Preconceptions  about T1D vs T2D are Not Always Correct

AGE OF DIAGNOSIS: T1D IS DIAGNOSED IN CHILDHOOD AND T2D IS DIAGNOSED IN ADULTHOOD.

As many as 50% of people with T1D are diagnosed as adults. T1D is not “juvenile” diabetes.

WEIGHT: PEOPLE WITH T1D ARE THIN, AND PEOPLE WITH T2D ARE OVERWEIGHT.

At least 50% of people living with T1D in the US are overweight or obese, a statistic which mirrors the general US population. Excess weight doesn’t prevent autoimmunity!

SYMPTOMATIC PRESENTATION: THE ONSET OF T1D IS DRAMATIC, AND INSULIN IS IMMEDIATELY REQUIRED FOR TREATMENT.

While this is generally true, the presentation of T1D tends to be less abrupt in adults (in whom beta cell destruction is more gradual). Moreover, insulin isn’t always required immediately, especially in adults or in overweight individuals, where treatments to improve insulin sensitivity such as weightloss and/or metformin, may be sufficient to control blood glucose for a limited period of time.

RESIDUAL INSULIN SECRETION: PEOPLE WITH T1D HAVE AN ABSOLUTE INSULIN DEFICIENCY.

At the time of diagnosis essentially all people with T1D have detectable C-peptide indicating residual endogenous insulin secretion.

AUTOIMMUNITY: IF YOU DON’T FIND ANTIBODIES, IT’S NOT T1D.

There are five well-characterized antibodies associated with T1D; most commercial laboratoriesdon’t measure all five, so incomplete test results may be misleading. In addition, up to 10% of those with newly diagnosed T1D may not have antibodies. While these individuals may have a monogenic form of diabetes (http://monogenicdiabetes.uchicago.edu), it is also possible they haveautoimmunity not detectable with current antibody measurements.

Sources: (133) (134) (135)

 

IMPORTANCE OF BETA CELL PRESERVATION IN LIGHT OF RISKS OF THERAPY

 

The preservation of residual beta cell function, as measured by C-peptide, has repeatedly been demonstrated to be clinically important in those with T1D, warranting ongoing efforts to develop therapies to prevent beta cell destruction both in individuals with islet autoimmunity and in those with new-onset disease. In addition to its primary finding that intensive insulin therapy results in better outcomes (136) (137) (138), the landmark Diabetes Control and Complications Trial (DCCT) showed that among intensively treated subjects, those who had ≥ 0.20 nmol/L stimulated C- peptide initially or sustained over a year had fewer complications, including 79% risk reduction in progression of retinopathy (139) (140). Importantly, these benefits were seen in the face of markedly less severe hypoglycemia. Subjects in the intensive insulin therapy group with ≥ 0.20 nmol/L C-peptide had about the same frequency of severe hypoglycemia as those in the standard care group; a 62% relative reduction as compared to those who received intensive therapy without this level of C-peptide. Subsequent analyses have demonstrated that even lower levels of preserved beta cell function in DCCT subjects were protective against complications (141). Importantly, a beneficial effect of preserved insulin secretion was also recently reported in those with type 2 diabetes. Endogenous insulin deficiency was strongly associated with hypoglycemia and a limited ability to control HbA1c in Type 2 subjects in the ACCORD study (142). Together, these data strongly support the concept that preserved insulin secretion coupled with intensive insulin therapy can reduce diabetes complications while averting severe hypoglycemia that has been a limiting factor in meeting glycemic targets (143) (144).

 

Islet transplant studies confirm a positive association between C-peptide secretion and a lower risk of hypoglycemia. Subjects eligible for islet transplantation are largely individuals suffering from severe hypoglycemic unawareness. Vantyghem et al. showed that while significant beta cell function was required to improve mean glucose, lower glucose excursions, and result in insulin independence in transplant patients, only minimal beta cell function was needed to abrogate severe hypoglycemic events (145).

 

Additionally, post islet-cell transplant patients with higher as compared to absent or minimal C-peptide levels are more likely to maintain fasting blood glucose values in the 60-140mg/dL (3.3 – 7.8 mmol/l) range, HbA1c values <6.5% (47.4 mmol/mol), and insulin independence after transplantation (146). The DCCT showed similar metabolic benefits in those with residual C-peptide. In this trial, patients with C-peptide ≥ 0.2nmol/L had lower fasting glucose and HbA1c values. A 9-year longitudinal analysis showed that for every 1 nmol/L increase in baseline stimulated C- peptide, there was an associated 1% reduction in HbA1c among intensively treated DCCT participants (147). Such positive clinical outcomes in those with preserved C-peptide reinforce the significance of efforts to protect beta cell function.

 

Of course, the benefits of beta cell preservation must be weighed against the intrinsic risks of therapies used to preserve C-peptide. Two therapies in particular highlight the challenges of balancing benefits with risk. First, one of the initial immunomodulatory therapies used in T1D was cyclosporine, a general immunosuppressant. Treatment with cyclosporine induced remission from insulin dependence in children with recently diagnosed T1D, with half of participants not requiring insulin after a full year of treatment (148). Unfortunately, the risks of using this drug were deemed to outweigh the benefits. Continuous effectiveness required continuous therapy, which induced nephrotoxicity (148).

 

More recently, studies with autologous hematopoietic stem cell transplant (HSCT) in the new onset population have further highlighted the risks of more aggressive approaches to treatment. Although the pooled data from HSCT trials suggests that this therapy imparts a high diabetes remission rate, the remission is not durable, and there are significant risks associated with the treatment, including neutropenic fever, serious infection, gonadal failure, and even death (149).

 

Importantly, there are dozens of immunotherapeutic agents or combinations of agents that are safely used in current clinical practice in other autoimmune diseases. For example, adults and children with juvenile idiopathic arthritis (JIA) are routinely treated with immunotherapy, an approach that has markedly transformed the lives of many living with this disease. Similarly, the aim for T1D is to use disease modifying therapies prudently and safely to improve the lives of those living with T1D. Possible approaches may include short term therapy aimed at inducing a long-term effect (tolerance), intermittent therapy, or limited doses of chronic therapy. Some of these methodologies are described below.

 

CLINICAL TRIALS WITH COMPELLING RESULTS IN NEW-ONSET T1D

 

Selecting therapies for clinical trials is based on multiple factors. We can now take advantage of the tremendous advances in understanding the disease process and basic and applied immunology. As illustrated in Figure 8, there are multiple therapies that target different specific mechanisms underlying disease. Trials are considered in the context of what is known about safety of the therapy and efficacy in animal models, pilot studies, and other autoimmune diseases. Using these approaches, we have succeeded in altering disease course without the excessive risk previously described.

 

Figure 8. Major pathways leading to beta cell destruction and potential mechanisms underlying the use of selected therapies. Both CD4 and CD8 T effector cells infiltrate and impair/destroy beta cells along with inflammatory cytokines such as IL-21, IL-1 and IL12/23. Anti-IL21/LiragluT1De, Golimumab, Ustekinumab, Anakinra, Baracitinib, and Canakinumab are aimed at blocking these inflammatory pathways. Activation of Teff cells depends upon presentation of antigen to naïve T cells which result in both Teff turning the immune response “on” and Treg cells turning the immune response “off”. Rituximab decreases B cells and therefore decreases the presentation of antigen to the immune system. Abatacept blocks co-stimulation and oral insulin (and other antigen therapy including the use of antigen specific dendritic cells) alters the response to self-antigen. Frexalimab interrupts both B and T cell activation. The effect of these therapies is to deviate the response to Treg cells or keep Teff cells from fully activating. ATG and anti-CD3 agents modulate and/or deplete activated T cells. Alefacept has a similar mechanism although primarily aimed at memory T cells. By blocking IL-6, Tocilizumab should change the balance of immune activation towards T regulatory cells. Similarly, GSCF, IL-2 (at the “right dose”), and infusion of Treg cells should preferentially increase Treg cells.

It is well established that T1D is the result of an immune cell mediated destruction of the pancreatic beta cells. Many research efforts have thus targeted T-cells as well as the cells with which they interact. As in secondary prevention trials, anti-inflammatory agents, antigen therapies, and immunomodulatory drugs have all been used in tertiary prevention studies, which are designed to stop further beta cell destruction in the new onset population, therefore preventing complications. In addition, cellular therapies have been tested in this population. Excitingly, several therapies have now been shown to safely alter the disease course, particularly in the period soon after drug administration, allowing treated subjects to retain more C-peptide than controls 1-4 years later (Figure 9). Thus, while not yet ready for clinical use by endocrinologists, it is likely that immunotherapy with these or other agents will become a part of T1D new onset clinical care in the future.

 

Otelixizumab and Teplizumab (anti-CD3)

 

Some success in beta cell preservation has been shown with Teplizumab (hOKT3gl Ala-Ala) and Otelixizumab (ChAglyCD3), both of which are humanized Anti-CD3 monoclonal antibodies directed against the CD3 portion of the T-cell receptor. These drugs are distinct from OKT3, an anti-T cell agent with significant short term adverse effects. A study with Otelixizumab showed preserved insulin secretion for up to four years after 80 new-onset participants were treated with a single 6-day course of drug (150) (151). At 6, 12, and 18 months, the treatment group showed more residual beta cell function and a delay in the rise in insulin requirements as compared to the placebo group.

 

Similarly, in 2002, Herold et al. reported that a single 14-day course of Teplizumab given within the first 2 months of diagnosis resulted in more residual beta cell function at 12 months as compared to untreated Individuals (152). While the effect of the therapy appeared most pronounced early on, follow-up of study participants continued to show differences in insulin production between treated and control subjects at 2 and 5 years after drug administration (153). In the AbATE Trial, a second course of Teplizumab was given 12 months after the first. In this study, C-peptide loss was delayed by an average of 15.9 months in treated subjects versus control subjects at 2 years (154). Finally, the Protégé Trial was a large phase III, placebo controlled randomized trial. While this study failed to meet its primary endpoint, post-hoc analysis found preserved beta cell function in a subset of the recent onset individuals who received Teplizumab as compared with placebo (155). As previously discussed, TrialNet found that 14 consecutive daily infusions of Teplizumab successfully delayed the progression from stage 2 T1D to stage 3 T1D in family members by up to 2 years (131) (132) and teplizumab received FDA approval in 2022. A phase 3 trial, Recent- Onset Type 1 Diabetes Trial Evaluating Efficacy and Safety of Teplizumab (PROTECT), compared two courses of 12 daily infusions of teplizumab (n=217) or placebo (n=111) in individuals aged 8-17 with T1D diagnosed within 6 weeks of randomization. The two courses were administered six months apart. As with previous new onset trials testing teplizumab, the drug was shown to be effective to preserve C-peptide secretion at 78 weeks after treatment, but clinical secondary endpoints were not met, including a difference in mean daily insulin and mean glycated hemoglobin level (156). Improvement in clinical endpoints may be required for FDA approval for use of teplizumab in new onset T1D. 

 

Rituximab (anti-CD20)

 

In addition to anti-T cell therapies, investigators have studied anti-B-cell agents. A placebo controlled, double masked, randomized trial with Rituximab (anti- CD20) found that a single course of drug preserved C- peptide for 8.2 months in the drug-treated group compared to the placebo-treated group (157). The precise mechanism of action of Rituximab remains unclear, although it is believed that this therapy may reduce the production of pro-inflammatory cytokines or inhibit B lymphocyte antigen presentation, thus inhibiting the cascade of events  leading to T-lymphocyte activation. In follow up to this trial, and a second trial testing the CTLA4 Ig agent abatacept (see below), TrialNet recently completed enrollment of a trial of open label rituximab followed by placebo randomized abatacept therapy. The rationale behind sequential treatment with these agents is the finding that among rituximab-treated participants, those with high CD4 T-cell activity 6 months after rituximab treatment had lower C-peptide levels at 1 year.  Abatacept blocks T-cell co-stimulation and blunts T cell responses; therefore, sequential treatment with rituximab followed by abatacept is hypothesized to have more durable treatment effects compared to monotherapy with either agent (158). 

 

ATG-GCSF

 

In 2019, TrialNet completed a 3-arm study (n=82) of ATG compared to ATG and granulocyte colony stimulating factor (GCSF) compared to placebo. GCSF was combined with ATG to test whether GCSF may facilitate the return of T-regs following ATG- induced lymphocyte depletion. The 2-year C-peptide AUC was significantly higher in ATG treated subjects compared to placebo treated. Interestingly, GCSF did not provide additional benefit compared to ATG alone (159). Given the demonstrated benefit of low-dose ATG in stage 3 T1D, TrialNet may study this therapy in those with earlier stage disease.

 

Abatacept (CTLA4 Ig)

 

Abatacept works through co-stimulatory blockade; that is, the interruption of the interactions between different components of the immune system that propagate an immune response. A placebo-controlled, double- masked, randomized trial in the new onset population showed that when Abatacept therapy was provided continuously over 2 years, treated individuals benefited from a 9.6-month delay in beta cell destruction (160). Like the anti-B cell and anti-T cell therapies, the effect of abatacept therapy on insulin secretion was most pronounced soon after initiation of drug. Importantly, while continued loss of beta cell function occurred over the remaining treatment period, when the drug was withdrawn, no acceleration of disease progression was seen (161). As described earlier, these findings set the stage for a trial testing whether a shorter course of therapy could delay disease progression in those with early stage T1D which was unfortunately negative.

 

Alefacept (LFA-3 Ig)

 

The T1Dal study assessed the use of Alefacept (LFA- 3 Ig) in the new onset population in a placebo- controlled, double-masked, randomized trial. It was expected that Alefacept would target the memory cells of the immune response and mechanistic studies indicated that this was the case. Unfortunately, there was insufficient drug available to fully complete the study. As such, while there was a trend, the difference in C-peptide secretion measured at 2h between treated and control subjects was not statistically significant at 1 year. However, Alefacept therapy did preserve the 4h C-peptide AUC at 1 year with lower insulin use, and also reduced hypoglycemic events, suggesting at least some efficacy (162)(146). Moreover, further data found a positive effect of therapy 2 years after randomization (163)(147).

 

Frexalimab (CD40L antagonist)

 

Interaction of CD40 with its ligand is required for B-cell and T-cell activation; therefore, interruption of this pathway should interfere with autoreactive CD4+ T cell and CD8+ responses that drive beta cell destruction.  Frexalimab is a humanized mouse monoclonal Ab which binds to CD40 ligand (CD40L) and blocks CD40 pathway signaling.  A phase 2 placebo-controlled trial is enrolling adolescents and adults (n=192) with new-onset T1D. Individuals will be sequentially randomized 2:1 to three escalating doses of frexalimab or placebo treatment for at least 52 weeks, with a blinded 52 week extension for participants with residual C-peptide secretion. The primary outcome is the difference in mean stimulated C-peptide level between treatment groups at 52 weeks (164). 

 

Cytokine and Anti-cytokine Therapies

 

IL-1: It has been recognized for many years that the cytokine IL-1, a key factor in the inflammatory response, can injure beta cells. However, in recently diagnosed patients, two Phase 2 trials with different anti-IL-1 therapies (Anakinra and Canakinumab) failed to preserve beta cell function (165).

 

IL-2: IL-2 is necessary for immune cell proliferation, but the amount of IL-2 needed to promote T regulatory cells differs from that needed to promote T effector cells. A pilot study using IL-2 in T1D subjects aimed to exploit this difference and even exaggerate it by combining the therapy with Rapamycin, which selectively blocks T effector cells, thus resulting in an augmentation of T regulatory cells. Indeed, a marked increase in T regulatory cells was seen. Unfortunately, a transient decrease in beta cell function was also observed, leading to the trial’s early termination (166). It was hypothesized that the decrease in beta cell function may have been due to IL-2 simulation of eosinophils and natural killer cells and it has thus been postulated that giving a lower dose or alternative form of IL-2 may more selectively augment Tregs. This was suggested by a small (n=24) study which defined an IL-2 dose range that was both safe and able to induce Treg expansion (167).

 

IL-6: IL-6 is another important cytokine in the immune cascade. It promotes a particular type of T effector cell (Th17 cells), and some patients with T1D have an exaggerated response to IL-6. Tocilizumab blocks the IL-6 receptor and is effective (and approved for clinical use) in adult and pediatric arthritis patients. The Tocilizumab in New-onset Type 1 Diabetes (EXTEND) trial was a randomized trial in adults and children (n=136) with new onset T1D, completed in 2020. While the study confirmed the safety of tocilizumab, it did not demonstrate efficacy in new onset T1D, as measured by 2-hour C-peptide AUC in response to standardized MMTT (168).

 

IL-12 and IL-23: IL-12 and IL-23 may indirectly contribute to the etiopathology of T1D, as they are involved in the production of IFN λ and IL-17, key cytokines in the generation of Th1 and Th17 effector cells. Ustekinumab is a monoclonal antibody that blocks a subunit common to IL-12 and IL-23 and is currently approved for treatment of psoriasis, psoriatic arthritis, ulcerative colitis, and Crohn’s disease. Its efficacy to preserve C-peptide was  tested in a UK Phase 2 study of 72 adolescents with recently diagnosed T1D (169). Participants were treated with 7 subcutaneous doses of saline or ustekinumab, administered over 44 weeks. After 12 months, stimulated C-peptide was 49% higher in the ustekinumab treated group (P=0.02) and there were reductions in IL-17A and ITF γ secreting T helper cells. A Phase 2/3 trial in Canada is testing ustekinumab in adults aged 18-35 with new onset T1D. (170).

 

TNFα: The results of the T1GER Study, which assessed the effects of the anti-TNFα medication golimumab on beta cell function in 84 youth with new- onset T1D, were published in November 2020. Participants aged 6-21 received either subcutaneous golimumab or placebo via injection in a 2:1 randomization for 52 weeks. At week 52, endogenous insulin production was significantly higher in the treatment group (0.64±0.42 pmol per milliliter vs. 0.43±0.39 pmol per milliliter, P<0.001) and exogenous insulin use was significantly lower. There was no significant difference in mean HbA1c or number of hypoglycemic events between groups, although there were more hypoglycemic events that met adverse event criteria in the treatment group. The promising results of this trial may warrant further investigation of anti-TNFα agents (171).

 

IL-21: A trial funded by Novo Nordisk investigated combination therapy with anti- IL-21 antibody and liraglutide (to improve β-cell function) as a means of enabling β-cell survival. 308 participants were randomly assigned to receive either anti-IL-21 plus liraglutide, anti-IL-21 alone, liraglutide alone, or placebo (77 assigned to each group). Compared with placebo (ratio to baseline 0·61, 39% decrease), the decrease in MMTT-stimulated C-peptide concentration from baseline to week 54 was significantly smaller with combination treatment (0·90, 10% decrease; estimated treatment ratio 1·48, 95% CI 1·16-1·89; p=0·0017), but not with anti-IL-21 alone (1·23, 0·97-1·57; p=0·093) or liraglutide alone (1·12, 0·87-1·42; p=0·38). It is important to note, however, that 26 weeks after cessation of therapy, both the liraglutide monotherapy group and the combination therapy group showed increased C-peptide loss, perhaps suggesting that while liraglutide may transiently augment insulin secretion in the peri- diagnostic period, it is not beneficial to long-term beta cell function or survival (172).

 

Janus kinase (JAK)/signal transducer and activator of transcription (STAT): The JAK/STAT pathway plays a key role in immune function; in particular, the regulation of cytokine signaling.  A trial conducted by Australian investigators tested the JAK1/2 inhibitor baracitinib in a 2:1 randomized trial of 91 participants aged 10-30 with new onset T1D.  After 48 weeks of therapy, stimulated C-peptide level was higher in the baracitinib treated cohort (median 0.65 nmol/L/min) compared to placebo treated (medial 0.43 nmol/L/min) (173). TrialNet is conducting a 3 arm placebo randomized trial in individuals with new onset T1D aged 12-35 testing a JAK1 inhibitor abrocitinib, a JAK3 inhibitor ritlecitinib, and placebo (174). 

 

OTHER APPROACHES

 

Cellular Therapy

 

Several clinical trials have tested the administration of cells as compared to pharmaceutical agents with the aim of preserving beta cells. These include the administration of antigen specific dendritic cells which are thought to restore immune tolerance by exploiting the role of dendritic cells in presenting antigen to the immune system (175). Autologous mesenchymal stromal cells (MSCs) are considered to have immunomodulatory properties and have also been examined and shown preliminary safety and proof of concept information in a pilot study (176). Other investigators have infused participants with T- regulatory cells (Tregs). These cells, which can come from saved umbilical cord blood or by expanding the patient’s own cells should increase the number of Tregs, thereby altering the immune balance with T- effector cells and preventing further beta cell injury. Small studies to date have had conflicting results (177) (178) (179) (180).

 

Therapies Directed at Components of the Innate Immune System

 

General anti-inflammatory agents have been tested as single agents in stage 3 T1D and may be used in combination with other therapies in the future. For example, alpha-1-antitrypsin (A1AT) is a serum protease inhibitor that broadly suppresses pro- inflammatory cytokines such as IL-1, TNF-α, and IL-6. It has been tested in stage 3 T1D, where it appears safe and well-tolerated (181). Bacillus Calmette- Guerin (BCG) has been proposed as a “vaccine” for those with T1D, citing the concept that BCG stimulation of innate immunity would alter the cytokine attack on beta cells. Notably, BCG is widely used, particularly in Europe, as a vaccine to prevent tuberculosis. Despite this broad usage, there is no epidemiological evidence that BCG administration has impacted the incidence of T1D. Moreover, a large, placebo controlled randomized trial demonstrated that BCG has no effect on insulin secretion, insulin requirements, or HbA1c in individuals with new onset T1D (182). Finally, the tyrosine kinase inhibitor imatinib (Gleevac), developed to treat leukemia, has several effects supporting its use in autoimmunity and T1D. The initial proposed mechanism of action is that the therapy reduces innate inflammation (183). However, other studies suggest it may also directly improve beta cell secretion (184). In a recent multicenter, randomized, double-blind, placebo- controlled study, 64 newly diagnosed adults were treated with either a 26-week course of imatinib or placebo in a 2:1 ratio. The study met its primary endpoint, showing preserved c-peptide secretion in the treatment group at 12 months. However, this effect was not sustained at 24 months. Additionally, during the 24-month follow-up, 71% of participants who received imatinib had a grade 2 severity or worse adverse event. Imatinib might offer a novel means to alter the course of type 1 diabetes, but care must be taken to monitor for toxicities. Further trials to define an ideal dose and duration of therapy and to evaluate safety and efficacy in children or the at-risk population should be considered (185).

 

LESSONS FROM TRIALS WITH DISEASE MODIFYING THERAPIES

 

The trials that have successfully altered the course of disease by changing the rate of loss of C-peptide, even for a brief period of time, have taught us much about the immune system and the natural history of T1D. First, it appears that the time of administration in the course of T1D may determine the effectiveness of a therapy as there appears to be a window during which agents may elicit the greatest effect upon the autoimmune process. Interestingly, in the cases of rituximab, otelixizumab/teplizumab, alefacept, ATG, golimumab, anti-IL-21, ustekinumab, abatacept, and baricitinib, each of which has a different mechanism of action, treatment effected a marked delay in beta cell destruction/dysfunction initially, but thereafter, rates of decline in C-peptide paralleled those of the placebo groups (150) (154) (157) (159) (160) (172) (185) (157) (169) (186)  (173).

 

Collectively, these observations suggest a difference in immune activity soon after diagnosis as compared with later on in the disease course (see Figure 9).

Figure 9. Stylized representation of selected new onset clinical trial results. Studies with positive outcomes (150) (154) (157) (160) (159) (169) (186) (173) appeared to have the most pronounced effects early after treatment started. See text for details.

Because of the time-dependent nature of the therapeutic response, the traditional approach of testing therapies in those with new-onset T1D before moving them “upstream” for use in treating autoimmunity may not be optimal. Several medications or combinations of medications are more likely to be effective earlier in disease. Thus, demonstration of efficacy in new onset trials should not be required before testing whether therapies can effectively treat islet autoimmunity.

 

The results of several trials have demonstrated that not all T1D patients are alike, and they vary in their response to therapy. For instance, in the Abate trial, 45% of subjects treated with teplizumab appeared to respond to the drug, showing almost no change in C- peptide secretion at two years, whereas 55% were deemed “non-responders” as their C-peptide secretion was not distinguishable from controls. Post-hoc analysis suggests that responders had lower A1C levels, less exogenous insulin use, and fewer Th-1-like T cells than non-responders (154). Next, post-hoc analysis from the Protégé trial revealed that C-peptide preservation was better in teplizumab treated patients who were aged 8-17, randomized within 6 weeks of diagnosis, had mean C-peptide AUC > 0.2nmol/L, A1c< 7.5%, and insulin dose < 0.4 units/kg/day (187). Last, as previously discussed, upon initial analysis of DPT-1 data, oral insulin did not appear to prevent T1D in the at-risk population. However, subsequent analysis showed a marked delay in diabetes development among those participants who had high titer anti-insulin autoantibodies (122). These results suggest that individualized therapies, which take into account a patient’s unique characteristics, are not only a possibility, but may be a necessity.

 

Participant age also appears to play a role in response to therapy, suggesting that optimal disease modifying agents  may  differ  between  pediatric  and  adult populations. Pre-teen children have less C-peptide at diagnosis than older children and adults. All age groups of children have a markedly different rate of fall of C-peptide than adults in the first year after diagnosis (188). Additionally, prior to diagnosis, children progress much faster through the pre symptomatic stages of disease. Specifically, children with early autoimmunity (1 antibody) are more likely to develop established autoimmunity (2+antibodies) than adults; and children with established autoimmunity with or without abnormal glucose tolerance progress more rapidly to symptomatic diabetes than adults (189). Historically, the FDA has required that therapies first be tested in the adult population before they may be approved for use in the pediatric population. However, this approach may prevent identification of  therapies that may be viable only in pediatric populations. Changing this paradigm was the focus of a key American Diabetes Association consensus conference on disease modifying therapy (189).

 

In the next few years, not only will new agents be tested, but the community will build on these results by using them in selected individuals (personalized medicine), in combination trials, and at different stages of disease. Each step takes us closer to clinical use of a disease modifying agent.

RESIDUAL INSULIN SECRETION

 

Traditional teaching holds that all subjects with T1D will eventually lose all of their beta cells. This statement is no longer true; multiple lines of research demonstrate that a proportion of those even with longstanding T1D may have residual beta cell function. The Joslin Medalist study showed that 67% of 411 T1D subjects at least 50 years from diagnosis had at least minimal (0.03 nmol/L) random serum C- peptide levels. Of these individuals, 2.6% had random serum C-peptide ≥ 0.20 nmol/L. Post-mortem analysis of pancreata from these same subjects revealed that insulin positive cells were noted in 9/9 pancreases studied (190). Since many of the Joslin Medalists were diagnosed at a time when life expectancy was markedly reduced in those with T1D, it was felt that this was a unique population, not representative of the majority of people with T1D and that the preservation of C-peptide itself may have contributed to their long- term survival. However, multiple studies have now confirmed that C-peptide is present in a significant proportion of individuals with T1D. At the time of diagnosis, essentially all individuals (both youth and adults) have clinically significant levels of C-peptide (134) (188) (191). Two years after diagnosis, more than 66% of individuals retain these high levels (188). Unfortunately, with increasing duration of disease, the proportion of those with detectable C-peptide falls (135) (188) (190). However, as recently reported by Davis et al.(135), about 6-7% of those even more than 40 years from diagnosis have measurable C-peptide and more sensitive assays can actually detect C- peptide in a greater proportion of individuals. Moreover, like the pancreata from the Joslin cohort, studies from those who have had T1D for at least 4 years have shown that residual (insulin-positive) β- cells can be found in ~ 40% of T1D pancreases upon autopsy (192). Careful studies of post-mortem samples using new technologies have suggested that insulin-positive cells may be scattered in the exocrine tissue, raising the tantalizing possibility that new beta cells could emerge. Longitudinal studies of those long from diagnosis with low levels of C-peptide are underway to better understand variation over time. 

 

There are important take-aways from this new data. First, the presence of C-peptide does NOT rule out a T1D diagnosis. Yet, this data should not be over-interpreted; most individuals will eventually lose essentially all of their C-peptide secretion. The Davis study showed that 93% of those diagnosed as children had absent or extremely low levels of C-peptide >20 years from diagnosis (135).

 

To date, there are no therapies that have regenerated beta cells in humans but replacement of dead or dysfunctional beta cells is an area of active investigation. Beta cell replacement is currently done through either whole pancreas or islet transplantation in conjunction with immune therapies to suppress the alloimmune (tissue rejection) and recurrent autoimmune response. Historically, these therapies have been constrained by a limited supply of cadaveric donors and the need for lifelong immunosuppression in the recipient. Pancreas transplantation is usually performed simultaneously with a kidney transplant, to restore both kidney and islet function and to justify the need for lifelong immunosuppression (193). Islet cell transplants are reserved for those with severe hypoglycemia or hypoglycemia unawareness where it can reverse these life-threatening conditions even without restoring insulin independence (194). More recent work using pluripotent embryonic stem cells and engineered induced pluripotent stem cells has led to the potential for an unlimited supply of islet cells, hence removing one of the primary barriers to islet cell transplant; that is, the limited supply of donors (195) (196) (197). However, recipients of this therapy would still require immunosuppression. To eliminate the need for immunosuppression, transplanted cells would need to be edited with tools such as Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) to enhance tolerance to antigens (198), or “encapsulated” using technology that allows transfer of nutrients and insulin while masking transplanted cells to the immune system (199).

FUTURE CONSIDERATIONS

 

Despite advances in glucose monitoring and insulin delivery, T1D management exacts a daily psychological, cognitive, and financial burden on individuals, families, and society. A minority of people living with T1D are able to sustain the therapeutic targets associated with a lower risk of complications. More than 100 years after insulin was first used to treat hyperglycemia, a different approach is needed; one that addresses the underlying pathophysiology of T1D. 

 

In 2025, we know much about the natural history of disease. We know that T1D specific autoantibodies can develop early in life and that essentially all of those with established islet autoimmunity will develop clinically overt disease. We also know that identifying these individuals is of significant clinical benefit including a reduced risk of DKA at the time of symptomatic diagnosis, the option to consider teplizumab to delay symptomatic disease, and referral to clinical trials Those with islet autoimmunity followed carefully until symptomatic diagnosis have markedly less morbidity at the time of diagnosis and lower HbA1c values. As per current ADA Standards of Care, family members of people with T1D should be made aware of their disease risk and should be offered autoantibody screening. Broader population T1D risk screening and glycemic monitoring is not yet standard of care in 2025 but is anticipated in the future. 

 

While the interaction of humans with their environment must contribute to disease; how this occurs is still being elucidated. It is likely that there are many different pathways by which individual gene/environment interactions result in T1D; suggesting that dissecting this heterogeneity will provide better insights and therapies.

 

Whatever the primary cause, we know that the immune system is involved in disease progression. There have been successes in delaying beta cell destruction before and after clinical diagnosis, and in beta cell replacement. Looking ahead, we will see the development of more targeted immunotherapies to personalize therapy for those most likely to benefit from a particular treatment. We anticipate more trials to test combination, sequential, or chronic immunotherapy aiming to preserve beta cell function, similar to how immunotherapy is used in other autoimmune conditions.   

 

Yet, there are non-scientific barriers to the use of disease modifying therapies for either islet cell autoimmunity or new-onset T1D. One barrier is the lack of familiarity with these therapies amongst clinicians. Immune-modulating medications are used routinely by rheumatologists; whereas endocrinologists and others who care for people with T1D are generally less comfortable with these therapies. This lack of familiarity exaggerates the risks and minimizes the benefits of immune- modulating medications. However, with a shift in mindset and training, and in anticipation of successful clinical trials, one can envision a not-too- distant future in which endocrinologists might use immune modulating therapies to treat their patients in all stages of T1D, before and after clinical diagnosis.

 

Table 5. How to Keep Informed About Research Opportunities

TrialNet https://www.trialnet.org/

Offers free autoantibody screening to relativesof individuals with type 1 diabetes. If autoantibody positive, participants may be eligible for glycemic monitoring and/or a clinical trial.

Offers New-onset trials to preserve beta cellfunction in those with new onset T1D (typicallywithin 100 days of diagnosis)

ClinicalTrials.gov https://clinicaltrials.gov/

 

Offers a complete registry of clinical trialsbeing conducted in the US and worldwide. Provides an online search tool that allows users to search for clinical trials for which they might be eligible.

Breakthrough T1D’s Clinical Trial Finder

 

https://www.breakthrought1d.org/clinical-trials/

 

Breakthrough T1D is a global organization funding T1D research aimed at improving the lives of those living with the disease. It hascreated a search tool that matches potentialparticipants with enrolling trials.

Immune Tolerance Network https://www.immunetolerance.org/

Offers clinical trials aimed at developing new therapeutic approaches for many immune-mediated diseases, including T1D.

  

REFERENCES

 

  1. Breakthrough T1D Type 1 diabetes Basics. Available from https://breakthrought1d.org/t1d-basics/incidence-prevalence/.
  2. Centers for Disease Control and Prevention National Diabetes Statistics Report. Available from https://www.cdc.gov/diabetes/php/data-research/#cdc_report_pub_study_section_1-fast-facts-on-diabetes.
  3. Patterson CC, E Gyürüs, Rosenbauer J, Cinek O, Neu A, Schober E, Parslow RC, Joner G, Svensson J, Castell C, Bingley PJ, Schoenle E, Jarosz-Chobot P, Urbonaité B, Rothe U, Krzisnik C, Ionescu-Tirgoviste C, Weets I, Kocova M, Stipancic G, Samardzic M, de Beaufort CE, Green A, Dahlquist GG, Soltész G. Trends in childhood type 1 diabetes incidence in Europe during 1989-2008:Evidence of non-uniformity over time in rates of increase. Diabetologia. 2012;55(8):2142-7.
  4. Wagenknecht LE, Lawrence JM, Isom S, Jensen ET, Dabelea D, Liese AD, Dolan LM, Shah AS, Bellatorre A, Sauder K, Marcovina S, Reynolds K, Pihoker C, Imperatore G, Divers J; SEARCH for Diabetes in Youth study. Trends in incidence of youth-onset type 1 and type 2 diabetes in the USA, 2002-2018: results from the population-based SEARCH for Diabetes in Youth study. Lancet Diabetes Endocrinol. 2023;11(4):242-50.
  5. Ebekozien O, Mungmode A, Sanchez J, Rompicherla S, Demeterco-Berggren C, Weinstock RS, Jacobsen LM, Davis G, McKee A, Akturk HK, Maahs DM, Kamboj MK. Longitudinal Trends in Glycemic Outcomes and Technology Use for Over 48,000 People with Type 1 Diabetes (2016-2022) from the T1D Exchange Quality Improvement Collaborative. Diabetes Technol Ther. 2023;25(11):765-73.
  6. Patterson C, Dahlquist G, Gyurus E, Green A, Soltesz G. Incidence trends for childhood type 1 diabetes in Europe during 1989-2003 and predicted new cases 2005-20: a multicentre prospective registration study. Lancet. 2009;373(9680):2027-33.
  7. DIAMOND Project Group. Incidence and trends of childhood Type 1 diabetes worldwide 1990-1999. Diabet Med. 2006;23(8):857-66.
  8. Karvonen M, Viik-Kajander M, Moltchanova E, Libman I, LaPorte R, Tuomilehto J. Incidence of childhood type 1 diabetes worldwide. Diabetes Mondiale (DiaMond) Project Group. Diabetes Care. 2000;23(10):1516-26.
  9. Warram JH, Krolewski AS, Gottlieb MS, Kahn CR. Differences in risk of insulin-dependent diabetes in offspring of diabetic mothers and diabetic fathers. N Engl J Med. 1984;311(3):149-52.
  10. Pociot F, Norgaard K, Hobolth N, Andersen O, Nerup J. A nationwide population-based study of the familial aggregation of type 1 (insulin-dependent) diabetes mellitus in Denmark. Danish Study Group of Diabetes in Childhood. Diabetologia. 1993;36(9):870-5.
  11. Nisticò L, Iafusco D, Galderisi A, Fagnani C, Cotichini R, Toccaceli V, Stazi MA; Study Group on Diabetes of the Italian Society of Pediatric Endocrinology and Diabetology. Emerging effects of early environmental factors over genetic background for type 1 diabetes susceptibility: evidence from a Nationwide Italian Twin Study. J Clin Endocrinol Metab. 2012;97(8):E1483-E91.
  12. Kyvik K, Green A, Beck-Nielsen H. Concordance rates of insulin dependent diabetes mellitus: apopulation based study of young Danish twins. BMJ. 1995;311(7010):913-7.
  13. Redondo M, Jeffrey J, Fain PR, Eisenbarth G, Orban T. Concordance for islet autoimmunity among monozygotic twins. N Engl J Med. 2008;359(26):2849-50.
  14. Eisenbarth GS. Type I diabetes mellitus. A chronic autoimmune disease. N Engl J Med. 1986;314(21):1360-8.
  15. Insel RA, Dunne JL, Atkinson MA, Chiang JL, Dabelea D, Gottlieb PA, et al. Staging presymptomatic type 1 diabetes: a scientific statement of JDRF, the Endocrine Society, and the American Diabetes Association. Diabetes Care. 2015;38(10):1964-74.
  16. Concannon P, Rich SS, Nepom GT. Genetics of type 1A diabetes. N Engl J Med. 2009;360(16):1646-54.
  17. Knip M. Can we predict type 1 diabetes in the general population? Diabetes Care. 2002;25(3):623-5.
  18. Steck AK, Vehik K, Bonifacio E, Lernmark A, Ziegler AG, Hagopian WA, et al. Predictors of Progression From the Appearance of Islet Autoantibodies to Early Childhood Diabetes: The Environmental Determinants of Diabetes in the Young (TEDDY). Diabetes Care. 2015;38(5):808-13.
  19. Gillespie KM, Bain SC, Barnett AH, Bingley PJ, Christie MR, Gill GV, et al. The rising incidence of childhood type 1 diabetes and reduced contribution of high-risk HLA haplotypes. Lancet. 2004;364(9446):1699-700.
  20. Mahon JL, Sosenko JM, Rafkin-Mervis L, Krause-Steinrauf H, Lachin JM, Thompson C, et al. The TrialNet Natural History Study of the Development of Type 1 Diabetes: objectives, design, and initial results. Pediatr Diabetes. 2008.
  21. General Population Level Estimation for Type 1 Diabetes Risk in Children During Routine Care Delivery. Available from: https://clinicaltrials.gov/search?cond=type%201%20diabetes&term=PLEDGE.
  22. Combined Antibody Screening for Celiac and Diabetes Evaluation (CASCADE). NCT04677699 [Internet]. 2020. Available from: https://clinicaltrials.gov/ct2/show/NCT04677699?term=hagopian&cond=type+1+diabetes&draw=2&rank=1.
  23. Fr1da Early Diagnosis and Care of Type 1 Diabetes (Fr1da). Available from: https://clinicaltrials.gov/study/NCT04039945?term=NCT04039945&rank=1.
  24. Parikka V, Nanto-Salonen K, Saarinen M, Simell T, Ilonen J, Hyoty H, et al. Early seroconversion and rapidly increasing autoantibody concentrations predict prepubertal manifestation of type 1 diabetes in children at genetic risk. Diabetologia. 2012;55(7):1926-36.
  25. Vehik K, Fiske SW, Logan CA, Agardh D, Cilio CM, Hagopian W, et al. Methods, quality control and specimen management in an international multicentre investigation of type 1 diabetes: TEDDY. Diabetes Metab Res Rev. 2013;29(7):557-67.
  26. Ziegler AG, Rewers M, Eisenbarth G, Simell O. Seroconversion to Multiple Islet Autoantibodies and Risk of Progression to Diabetes in Children. Journal of the American Medical Association. 2013;309(23):2473-9.
  27. DPT-1 Study Group. Demographics of relatives screened and ICA positive in the diabetes prevention trial-type 1 diabetes (DPT-1). Diabetes. 1997;46 (Suppl 1):142A.
  28. Sosenko JM, Skyler JS, Mahon J, Krischer JP, Greenbaum CJ, Rafkin LE, et al. Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of the risk classification of type 1 diabetes. Diabetes Care. 2014;37(4):979-84.
  29. Mahon JL, Sosenko JM, Rafkin-Mervis L, Krause-Steinrauf H, Lachin JM, Thompson C, et al. The TrialNet Natural History Study of the Development of Type 1 Diabetes: objectives, design, and initial results. Pediatr Diabetes. 2009;10(2):97-104.
  30. Winkler C, Schober E, Ziegler AG, Holl RW. Markedly reduced rate of diabetic ketoacidosis at onset of type 1 diabetes in relatives screened for islet autoantibodies. Pediatr Diabetes. 2012;13(4):308-13.
  31. Triolo TM, Chase HP, Barker JM, Group DPTS. Diabetic subjects diagnosed through the Diabetes Prevention Trial-Type 1 (DPT-1) are often asymptomatic with normal A1C at diabetes onset. Diabetes Care. 2009;32(5):769-73.
  32. Elding Larsson H, Vehik K, Bell R, Dabelea D, Dolan L, Pihoker C, et al. Reduced prevalence of diabetic ketoacidosis at diagnosis of type 1 diabetes in young children participating in longitudinal follow-up. Diabetes Care. 2011;34(11):2347-52.
  33. Rewers A, Klingensmith G, Davis C, et al. Presence of diabetic ketoacidosis at diagnosis of diabetes mellitus in youth: the Search for Diabetes in Youth Study. Pediatrics. 2008;121:e1258-e66.
  34. Barker J, Goehrig S, Barriga K, Hoffman M, Slover R, Eisenbarth G, et al. Clinical characteristics of children diagnosed with type 1 diabetes through intensive screening and follow-up.Diabetes Care. 2004;27(6):1399-404.
  35. Duca LM, Reboussin BA, Pihoker C, Imperatore G, Saydah S, Mayer-Davis E, Rewers A, Dabelea D. Diabetic ketoacidosis at diagnosis of type 1 diabetes and glycemic control over time: The SEARCH for diabetes in youth study. Pediatr Diabetes. 2019;20(2):172-9.
  36. Shalitin S, Fisher S, Yackbovitch-Gavan M, de Vries L, Lazar L, Lebenthal Y, et al. Ketoacidosis at onset of type 1 diabetes is a predictor of long-term glycemic control. Pediatr Diabetes. 2018;19:320-8.
  37. Clapin H, Smith G, Vijayanand S, Jones T, Davis E, Haynes A. Moderate and severe diabetic ketoacidosis at type 1 diabetes onset in children over two decades: A population-based study of prevalence and long-term glycemic outcomes. Pediatr Diabetes. 2022;23:473-9.
  38. Khanolkar A, Amin R, Taylor-Robinson D, Viner R, Warner J, Gevers E, et al. Diabetic Ketoacidosis Severity at Diagnosis and Glycaemic Control in the First Year of Childhood Onset Type 1 Diabetes—A Longitudinal Cohort Study. Int J Environ Res Public Health 2017;15.
  39. Committee American Diabetes Association Professional Practice Committee. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025. Diabetes Care. 2025;48(1 Suppl 1):S27-S49.
  40. Barbara Davis Center for Diabetes. ASK Research Program/ Autoimmunity Screening for Kids 2018 [Available from: https://www.askhealth.org/.
  41. So M, Speake C, Steck AK, Lundgren M, Colman PG, Palmer JP, et al. Advances in Type 1 Diabetes Prediction Using Islet Autoantibodies: Beyond a Simple Count. Endocr Rev. 2021;42(5):584-604.
  42. Greenbaum CJ, Nepom GT, Wood-Heickman LK, Wherrett DK, DiMeglio LA, Herold KC, et al. Evolving Concepts in Pathophysiology, Screening, and Prevention of Type 1 Diabetes: Report of Diabetes Mellitus Interagency Coordinating Committee Workshop. Diabetes. 2024;73(11):1780-90.
  43. Raab J, Haupt F, Scholz M, Matzke C, Warncke K, Lange K, et al. Capillary blood islet autoantibody screening for identifying pre-type 1 diabetes in the general population: design and initial results of the Fr1da study. BMJ Open. 2016;6(5):e011144.
  44. Ziegler AG, Kick K, Bonifacio E, Haupt F, Hippich M, Dunstheimer D, et al. Yield of a Public Health Screening of Children for Islet Autoantibodies in Bavaria, Germany. JAMA. 2020;323(4):339-51.
  45. Thümer L, Adler K, Bonifacio E, Hofmann F, Keller M, Milz C, Munte A, Ziegler AG. German new onset diabetes in the young incident cohort study: DiMelli study design and first-year results. Rev Diabet Stud. 2010;7(7).
  46. Hummel S, Carl J, Friedl N, Winkler C, Kick K, Stock J, et al. Children diagnosed with presymptomatic type 1 diabetes through public health screening have milder diabetes at clinical manifestation. Diabetologia. 2023;66(9):1633-42.
  47. Ghalwash M, Dunne JL, Lundgren M, Rewers M, Ziegler AG, Anand V, et al. Two-age islet-autoantibody screening for childhood type 1 diabetes: a prospective cohort study. Lancet Diabetes Endocrinol. 2022;10(8):589-96.
  48. Penno MAS, Couper JJ,, Craig ME, et al. ENDIA Study Group. Environmental determinants of islet autoimmunity (ENDIA): a pregnancy to early life cohort study in children at-risk of type 1 diabetes.BMC Pediatr. 2013;13-124:1471-2431.
  49. Cardwell C, Stene L, Joner G, et al. Maternal age at birth and childhood type 1 diabetes: a pooled analysis of 30 observational studies. Diabetes. 2010;59(2):486-94.
  50. Flood T, Brink S, Gleason R. Increased incidence of type 1 diabetes in children of older mothers. Diabetes Care. 1982;5(6):571-3.
  51. Warram JH, Martin BC, Krolewski AS. Risk of IDDM in children of diabetic mothers decreases with increasing maternal age at pregnancy. Diabetes. 1991;40(12):1679-84.
  52. Cardwell C, Stene L, Joner G, et al. Birthweight and the risk of childhood-onset type 1 diabetes: a meta-analysis of observational studies using individual patient data. Diabetologia. 2010;53(4):641-51.
  53. Stene L, Magnus P, Lie R, Sovik O, Joner G. Birth weight and childhood onset type 1 diabetes: population-based cohort study. BMJ. 2001;322(7291):889-92.
  54. Dahlquist G, Bennich S, Kallen B. Intrauterine growth pattern and risk of childhood onset insulin dependent (type 1) diabetes: population based case-control study. BMJ. 1996;313(7066):1174-7.
  55. Harder T, Roepke K, Diller N, Stechling Y, Dudenhausen J, Plagemann A. Birth weight, early weight gain, and subsequent risk of type 1 diabetes: systematic review and meta-analysis. Am J Epidemiol. 2009;169(12):1428-36.
  56. Robertson L, Harrild K. Maternal and neonatal risk factors for childhood type 1 diabetes: a Matched case-control study. BMC Public Health. 2010;10:281.
  57. Cardwell C, Stene L, Joner G, et al. Birth order and childhood type 1 diabetes risk: a pooled analysis of 31 observational studies. Int J Epidemiol. 2011;40(2):363-74.
  58. Virtanen SM, Takkinen HM, Nwaru BI, Kaila M, Ahonen S, Nevalainen J, et al. Microbial exposure in infancy and subsequent appearance of type 1 diabetes mellitus-associated autoantibodies: a cohort study. JAMA Pediatr. 2014;168(8):755-63.
  59. Cardwell C, Svensson J, Waldhoer T, et al. Interbirth interval is associated with childhood type 1 diabetes risk. Diabetes. 2012;61(3):702-7.
  60. Cardwell C, Stene L, Joner G, et al. Caesarean section is associated with an increased risk of childhood-onset type 1 diabetes mellitus: a meta-analysis of observational studies. Diabetologia. 2008;51(5):726-35.
  61. Khashan AS, Kenny LC, Lundholm C, Kearney PM, Gong T, Almqvist C. Mode of obstetrical delivery and type 1 diabetes: a sibling design study. Pediatrics. 2014;134(3):e806-13.
  62. Dahlquist G, Kallen B. Maternal-child blood goup incompatibility and other perinatal events increase the risk for early-onset type 1 (insulin-dependent) diabetes mellitus. Diabetologia. 1992;35(7):671-5.
  63. Zhang L, Tian H, Liu Z, Yin X, Xi B. Preterm birth and risk of type 1 and type 2 diabetes: systematic review and meta-analysis. Obes Rev. 2014;15(10):804-11.
  64. Granfors M, Augustin H, Ludvigsson J, Brekke HK. No association between use of multivitamin supplement containing vitamin D during pregnancy and risk of Type 1 Diabetes in the child. Pediatr Diabetes. 2016;17(7):525-30.
  65. Stene LC, Joner G. Use of cod liver oil during the first year of life is associated with lower risk of childhood-onset type 1 diabetes: a large, population-based, case-control study. Am J Clin Nutr. 2003;78(6):1128-34.
  66. Fronczak C, Baron A, Chase H, et al. In utero dietary exposures and risk of islet autoimmunity in children. Diabetes Care. 2003;26(12):3237-42.
  67. Marjamaki L, Niinisto S, Kenward MG, Uusitalo L, Uusitalo U, Ovaskainen ML, et al. Maternal intake of vitamin D during pregnancy and risk of advanced beta cell autoimmunity and type 1 diabetes in offspring. Diabetologia. 2010;53(8):1599-607.
  68. Kikkinen A, Virtanen S, Klaukka T, et al. Use of antimicrobials and risk of type 1 diabetes in a population-based mother-child cohort. Diabetalogia. 2006;49(1):66-70.
  69. Arkkola T, Kautiainen S, Takkinen HM, Kenward MG, Nevalainen J, Uusitalo U, et al. Relationship of maternal weight status and weight gain rate during pregnancy to the development of advanced beta cell autoimmunity in the offspring: a prospective birth cohort study. Pediatr Diabetes. 2011;12(5):478-84.
  70. Niinisto S, Takkinen HM, Uusitalo L, Rautanen J, Nevalainen J, Kenward MG, et al. Maternal dietary fatty acid intake during pregnancy and the risk of preclinical and clinical type 1 diabetes in the offspring. Br J Nutr. 2014;111(5):895-903.
  71. Sorenson I, Joner G, Jenum P, Esklid A, Stene L. Serum long chain n-3 fatty acids (EPA and DHA) in the pregnant mother are independent of tisk of type 1 diabetes in the offspring. Diabetes Metab Res Rev. 2012;28(5):431-8.
  72. Ross A, Manson J, Abrams S, et al. The 2011 report on dietary reference intakes for calcium and vitamin D from the Institute of Medicine: what clinicians need to know. J Clin Endocrinol Metab. 2011;96(1):53-38.
  73. Hagopian WA, Lernmark A, Rewers MJ, Simell OG, She JX, Ziegler AG, et al. TEDDY--The Environmental Determinants of Diabetes in the Young: an observational clinical trial. Ann N Y Acad Sci. 2006;1079:320-6.
  74. Lernmark A, Agardh D, Akolkar, Gesualdo P, Hagopian W, Haller M, et al. . Looking back at the TEDDY study: lessons and future directions. Nat Rev Endocrinol. 2024;21:154-65.
  75. Lönnrot M, Lynch KF, Rewers M, Lernmark Å, Vehik K, Akolkar B, Hagopian W, Krischer J, McIndoe RA, Toppari J, Ziegler AG, Petrosino JF, Lloyd R, Hyöty H; TEDDY Study Group. Gastrointestinal Infections Modulate the Risk for Insulin Autoantibodies as the First-Appearing Autoantibody in the TEDDY Study. Diabetes Care. 2023;46(11):1908-15.
  76. Borch-Johnsen K, Joner G, Mandrup Poulsen T, et al. Relation between breast-feeding and incidence rates of insulin-dependent diabetes mellitus: A hypothesis. Lancet. 1984;2(8411):1083-6.
  77. Chimel R, Beyerlein A, Knopff A, Hummel S, Ziegler A, WInkler C. Early infant feeding and risk of developing islet autoimmunity and type 1 diabetes. Acta Diabetol. 2014.
  78. Frederiksen B, Kroehl M, Lamb M, et al. Infant exposures and development of type 1 diabetes mellitus: The Diabetes Autoimmunity Study in the Young (DAISY). JAMA Pediatr. 2013;167(9):808-15.
  79. Lund-Blix N, Stene L, Rasmussen T, Torjesen P, Andersen LS, Ronningen K. Infant feeding in relation to islet autoimmunity and type 1 diabetes in genetically susceptible children: the MIDIA Study. Diabetes Care. 2015;38(2):257-63.
  80. Couper JJ, Steele C, Beresford S, Powell T, McCaul K, Pollard A, et al. Lack of association between duration of breast-feeding or introduction of cow's milk and development of islet autoimmunity. Diabetes. 1999;48(11):2145-9.
  81. Knip M, Akerblom HK, Becker D, Dosch HM, Dupre J, Fraser W, et al. Hydrolyzed infant formula and early beta-cell autoimmunity: a randomized clinical trial. JAMA. 2014;311(22):2279-87.
  82. Knip M, Writing group for the TRIGR Study Group. Effect of Hydrolyzed Infant Formula vs Conventional Formula on Risk of Type 1 Diabetes. JAMA. 2018 Jan;319(1):38-48.
  83. Vaarala O, Ilonen J, Ruohtula T, Pesola J, Virtanen SM, Harkonen T, et al. Removal of Bovine Insulin From Cow's Milk Formula and Early Initiation of Beta-Cell Autoimmunity in the FINDIA Pilot Study. Arch Pediatr Adolesc Med. 2012;166(7):608-14.
  84. Ziegler AG, Schmid S, Huber D, Hummel M, Bonifacio E. Early infant feeding and risk of developing type 1 diabetes-associated autoantibodies. JAMA. 2003;290(13):1721-8.
  85. Norris JM, Barriga K, Klingensmith G, Hoffman M, Eisenbarth GS, Erlich HA, et al. Timing of initial cereal exposure in infancy and risk of islet autoimmunity. JAMA. 2003;290(13):1713-20.
  86. Uusitalo U, Lee HS, Aronsson C, Vehik K, Yang J, Hummel S, et al. Early Infant Diet and Islet Autoimmunity in the TEDDY study. Diabetes Care. 2018;41:522-30.
  87. Hummel S, Pfluger M, Hummel M. Primary dietary intervention study to reduce the risk of islet autoimmunity in children at increased risk for type 1 diabetes: the BABYDIET study. Diabetes Care. 2011;34(6):1302-5.
  88. Beyerlein A, Chimel R, Hummel S, Winkler C, Bonifacio E, Ziegler A. Timing of gluten introduction and islet autoimmunity in young children: updated results from the BABYDIET study. Diabetes Care. 2014;37(9):e194-e5.
  89. Brekke H, Ludvigsson J. Vitamin D supplementation and diabetes-related autoimmunity in the ABIS study. Pediatr Diabetes. 2007;8(1):11-4.
  90. Vitamin D supplement in early childhood and risk for Type I (insulin-dependent) diabetes mellitus. The EURODIAB Substudy 2 Study Group. Diabetologia. 1999;42(1):51-4.
  91. Hypponen E, Laara E, Reunanen A, Jarvelin M, Virtanen S. Intake of vitamin D and risk of type 1 diabetes: a birth-cohort study. Lancet. 2001;358(9292):1500-3.
  92. Zipitis C, Akobeng A. Vitamin D supplementation in early childhood and risk of type 1 diabetes: a systematic review and meta-analysis. Arch Dis Child. 2008;93(6):512-7.
  93. Simpson M, Brady H, Yin X, et al. No association of vitamin D intake or 25-hydroxyvitamin D levels in childhood with risk of islet autoimmunity and type 1 diabetes: the Diabetes Autoimmunity Study in the Young (DAISY). Diabetologia. 2011;54(11):2779-88.
  94. Norris J, Yin X, Lamb M, et al. Omega-3 polyunsaturated fatty acid intake and islet autoimmunity in children at increased risk for type 1 diabetes. JAMA. 2007;298(12):1420-8.
  95. Chase HP, Boulware D, Rodriguez H, Donaldson D, Chritton S, Rafkin-Mervis L, et al. Effect of docosahexaenoic acid supplementation on inflammatory cytokine levels in infants at high genetic risk for type 1 diabetes. Pediatr Diabetes. 2015;16(4):271-9.
  96. Wagner C, Greer F. Prevention of rickets and vitamin D deficiency in infants, children, and adolescents. Pediatrics. 2008;122(5):1142-52.
  97. Strachan DP. Hay fever, hygiene, and household size. BMJ. 1989;299(6710):1259-60.
  98. Karelia map 2015. Available from: https://commons.wikimedia.org/wiki/File:Karelia_today.png#/media/File:Karelia_today.png.
  99. Kondrashova A, Seiskari T, Ilonen J, Knip M, Hyoty H. The 'Hygiene hypothesis' and the sharp gradient in the incidence of autoimmune and allergic diseases between Russian Karelia and Finland. APMIS. 2013;121(6):478-93.
  100. Seiskari T, Kondrashova A, Viskari H, et al. Allergic senstization and microbial load--a comparison between Finland and Russian Karelia. Clin Exp Immunol. 2007;148(1):47-52.
  101. Yatsunenko T, Rey F, Manary M, et al. Human gut microbiome viewed across age and geography. Nature. 2012;486(7402):222-7.
  102. Giongo A, Gano KA, Crabb DB, Mukherjee N, Novelo LL, Casella G, et al. Toward defining the autoimmune microbiome for type 1 diabetes. ISME J. 2011;5(1):82-91.
  103. Brown CT, Davis-Richardson AG, Giongo A, Gano KA, Crabb DB, Mukherjee N, et al. Gut microbiome metagenomics analysis suggests a functional model for the development of autoimmunity for type 1 diabetes. PLoS One. 2011;6(10):e25792.
  104. de Goffau MC, Luopajarvi K, Knip M, Ilonen J, Ruohtula T, Harkonen T, et al. Fecal microbiota composition differs between children with beta-cell autoimmunity and those without. Diabetes. 2013;62(4):1238-44.
  105. Bezirtzoglou E, Tsiotsias A, Welling GW. Microbiota profile in feces of breast- and formula-fed newborns by using flourescence in situ hybridization (FISH). Anaerobe. 2011;2011(17):6.
  106. Stark P, Lee A. The microbial ecology of the large bowel of breast-fed and formula-fed infants during the first year of life. J Med Microbiol. 1982;15(2):189-203.
  107. Menser M, Forrest J, Bransby R. Rubella infection and diabetes mellitus. Lancet. 1978;1:57-60.
  108. Oikarinen S, Martiskainen M, Tauriainen S, Huhtala H, Ilonen J, Veijola R, et al. Enterovirus RNA in blood is linked to the development of type 1 diabetes. Diabetes. 2011;60(1):276-9.
  109. Kimpimaki T, Kupila A, Hamalainen AM, Kukko M, Kulmala P, Savola K, et al. The first signs of beta-cell autoimmunity appear in infancy in genetically susceptible children from the general population: the Finnish Type 1 Diabetes Prediction and Prevention Study. J Clin Endocrinol Metab. 2001;86(10):4782-8.
  110. Vehik KL, Kristin; Wong, Matthew; et al.TEDDY Study Group. Prospective virome analyses in young children at increased genetic risk for type 1 diabetes. Nature Medicine. 2019;12.
  111. Moltchanova E, Schreier N, Lammi N, Karvonen M. Seasonal variation of diagnosis of type 1 diabetes mellitus in children worldwide. Diabet Med. 2009;26(7):673-8.
  112. Liu C, Guo MN, Chai Z, Xin Z, Chen G, Zimmet P, et al. Association between Covid-19 vaccination and incidence of type 1 diabetes in China: Evidence from 14.14 million registered residents between 2007 and 2021. Diabetes Res Clin Pract. 2023;201.
  113. Duderstadt S, Rose C, Jr., Real T, et al. Vaccination and risk of type 1 diabetes mellitus in active component U.S. military, 2002-2008. Vaccine. 2012;30(4):813-9.
  114. Graves P, Barriga K, Norris J, et al. Lack of association between early childhood immunizations and beta-cell autoimmunity. Diabetes Care. 1999;22(10):1694-7.
  115. DeStefano F, Mullooly J, Okoro C, et al. Childhood vaccinations, vaccination timing, and risk of type 1 diabetes mellitus. Pediatrics. 2001;108(6):E112.
  116. Hviid A, Stellfeld M, Wohlfahrt J, Melbye M. Childhood vaccination and type 1 diabetes. N Engl J Med. 2004;350(14):1398-404.
  117. Elding Larsson H, Lynch KF, Lonnrot M, Haller MJ, Lernmark A, Hagopian WA, et al. Pandemrix(R) vaccination is not associated with increased risk of islet autoimmunity or type 1 diabetes in the TEDDY study children. Diabetologia. 2018;61(1):193-202.
  118. Eidelman AI, Schanler RJ, Johnston M, Landers S, Noble L, Szucs K, Viehmann L Breastfeeding and the use of human milk. Pediatrics. 2012;129(3):e827-e41.
  119. Ziegler AG, Achenbach P, Berner R, Casteels K, Danne T, Gundert M, et al. Oral insulin therapy for primary prevention of type 1 diabetes in infants with high genetic risk: the GPPAD-POInT (global platform for the prevention of autoimmune diabetes primary oral insulin trial) study protocol. BMJ Open. 2019;9(6):e028578.
  120. Bonifacio E, Ziegler AG, Klingensmith G, Schober E, Bingley PJ, Rottenkolber M, et al. Effects of high-dose oral insulin on immune responses in children at high risk for type 1 diabetes: the Pre-POINT randomized clinical trial. JAMA. 2015;313(15):1541-9.
  121. Skyler JS, Krischer JP, Wolfsdorf J, Cowie C, Palmer JP, Greenbaum C, et al. Effects of oral insulin in relatives of patients with type 1 diabetes: The Diabetes Prevention Trial--Type 1. Diabetes Care. 2005;28(5):1068-76.
  122. Skyler J. Update on worldwide efforts to prevent type 1 diabetes. Ann N Y Acad Sci. 2008;1150:190.
  123. Vehik K, Cuthberston D, Ruhlig H, Schatz D, Peakman M, Krischer J. Long-term outcome of individuals treated with oral insulin: diabetes prevention trial-type 1 (DPT-1) oral insulin trial. Diabetes Care. 2011;34(7):1585-90.
  124. Writing Committee for the Type 1 Diabetes TrialNet Oral Insulin Study G, Krischer JP, Schatz DA, Bundy B, Skyler JS, Greenbaum CJ. Effect of Oral Insulin on Prevention of Diabetes in Relatives of Patients With Type 1 Diabetes: A Randomized Clinical Trial. JAMA. 2017;318(19):1891-902.
  125. Greenbaum CJ, McCulloch-Olson M, Chiu HK, Palmer JP, Brooks-Worrell B. Parenteral insulin suppresses T cell proliferation to islet antigens. Pediatr Diabetes. 2011;12(3 Pt 1):150-5.
  126. Nanto-Salonen K, Kupila A, Simell S, Siljander H, Salonsaari T, Hekkala A, et al. Nasal insulin to prevent type 1 diabetes in children with HLA genotypes and autoantibodies conferring increased risk of disease: a double-blind, randomised controlled trial. Lancet. 2008;372(9651):1746-55.
  127. Melbourne Health. Trial of Intranasal Insulin in Children and Young Adults at Risk of Type 1 Diabetes (INITII). Available from: http://clinicaltrialsgov/show/NCT00336674.
  128. A multiple ascending dose trial investigating safety, tolerability and pharmacokinetics of NNC0361-0041 (TOPPLE T1D). Available from: https://clinicaltrials.gov/ct2/show/NCT04279613?term=TOPPLE&draw=2&rank=1.
  129. Mathieu C, Wiedeman A, Cerosaletti K, Long SA, Serti E, Cooney L, et al. A first-in-human, open-label Phase 1b and a randomised, double-blind Phase 2a clinical trial in recent-onset type 1 diabetes with AG019 as monotherapy and in combination with teplizumab. Diabetologia. 2024;67(1):27-41.
  130. Russell WE, Bundy BN, Anderson MS, Cooney LA, Gitelman SE, Goland RS, et al. Abatacept for Delay of Type 1 Diabetes Progression in Stage 1 Relatives at Risk: A Randomized, Double-Masked, Controlled Trial. Diabetes Care. 2023.
  131. Herold KC, Bundy BN, Long SA, Bluestone JA, DiMeglio LA, Dufort MJ, et al. An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes. N Engl J Med. 2019;381(7):603-13.
  132. Sims EK, Bundy BN, Stier K, Serti E, Lim N, Long SA, et al. Teplizumab improves and stabilizes beta cell function in antibody-positive high-risk individuals. Sci Transl Med. 2021 March 3;13(583).
  133. Miller KM, Foster NC, Beck RW, Bergenstal RM, DuBose SN, DiMeglio LA, et al. Current State of Type 1 Diabetes Treatment in the U.S.: Updated Data From the T1D Exchange Clinic Registry. Diabetes Care. 2015;38(6):971-8.
  134. Greenbaum CJ, Anderson AM, Dolan LM, Mayer-Davis EJ, Dabelea D, Imperatore G, et al. Preservation of beta-cell function in autoantibody-positive youth with diabetes. Diabetes Care. 2009;32(10):1839-44.
  135. Davis AK, DuBose SN, Haller MJ, Miller KM, DiMeglio LA, Bethin KE, et al. Prevalence of detectable C-PepT1De according to age at diagnosis and duration of type 1 diabetes. Diabetes Care. 2015;38(3):476-81.
  136. DCCT Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. The Diabetes Control and Complications Trial Research Group. N Engl J Med. 1993;329(14):977-86.
  137. Nathan DM, Cleary PA, Backlund JY, et al. Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes. N Engl J Med. 2005;353(25):2643-53.
  138. Nathan DM, Lachin J, Cleary P, Orchard T, Brillon DJ, Backlund JY, et al. Intensive diabetes therapy and caroT1D intima-media thickness in type 1 diabetes mellitus. N Engl J Med. 2003;348(23):2294-303.
  139. Steffes MW, Sibley S, Jackson M, Thomas W. Beta-cell function and the development of diabetes-related complications in the diabetes control and complications trial. Diabetes Care. 2003;26(3):832-6.
  140. JM Lachin, P McGee, JP Palmer, DCCT EDIC Research Group. Impact of C-pepT1De preservation on metabolic and clinical outcomes in the Diabetes Control and Complications Trial. Diabetes. 2014;63(2):739-48.
  141. Jeyam A, Colhoun H, McGurnaghan S, Blackbourn L, McDonald TJ, Palmer CNA, et al. Clinical Impact of Residual C-PepT1De Secretion in Type 1 Diabetes on Glycemia and Microvascular Complications. Diabetes Care. 2021;44(2):390-8.
  142. Chow L, Chen H, Miller M, Marcovina S, Seaquist E. Biomarkers related to severe hypoglycemia and lack of good glycaemic control in ACCORD. Diabetologia. 2015;58(6):1160-6.
  143. Latres E, Greenbaum CJ, Oyaski ML, Dayan CM, Colhoun HM, Lachin JM, et al. Evidence for C-PepT1De as a Validated Surrogate to Predict Clinical Benefits in Trials of Disease-Modifying Therapies for Type 1 Diabetes. Diabetes. 2024;73(6):823-33.
  144. Taylor PN, Collins KS, Lam A, Karpen SR, Greeno B, Walker F, Lozano A, Atabakhsh E, Ahmed ST, Marinac M, Latres E, Senior PA, Rigby M, Gottlieb PA, Dayan CM; Trial Outcome Markers Initiative collaboration. C-pepT1De and metabolic outcomes in trials of disease modifying therapy in new-onset type 1 diabetes: an individual participant meta-analysis. Lancet Diabetes Endocrinol. 2023;12(2):915-25.
  145. Vantyghem M, Raverdy V, Balavoine A, al. E. Continuous glucose monitoring after islet transplantation in type 1 diabetes: An excellent graft function (B-score greater than 7) is required to abrogate severe hypoglycemia, whereas minimal function is necessary to suppress severe hypoglycemia (B-score greater than 3). J Clin Endocrinol Metab. 2012;97(11):E2078-E83.
  146. Barton FB, Rickels MR, Alejandro R, et al. Improvement in outcomes of clinical islet transplantation: 1999-2010. Diabetes Care. 2012;35(7):1436-45.
  147. Palmer JP, Fleming GA, Greenbaum CJ, Herold KC, Jansa LD, Kolb H, et al. C-pepT1De is the appropriate outcome measure for type 1 diabetes clinical trials to preserve beta-cell function: report of an ADA workshop, 21-22 October 2001. Diabetes. 2004;53(1):250-64.
  148. Bougneres PF, Carel JC, Castano L, Boitard C, Gardin JP, Landais P, et al. Factors associated with early remission of type I diabetes in children treated with cyclosporine. N Engl J Med. 1988;318(11):663-70.
  149. D'Addio F, Valderrama V, Ben NM et al. Autologous nonmyeloablative hematopoietic stem cell transplantation in new-onset type 1 diabetes: a multicenter analysis. Diabetes. 2014;63(9).
  150. Keymeulen B, Vandemeulebroucke E, Ziegler AG, Mathieu C, Kaufman L, Hale G, et al. Insulin needs after CD3-antibody therapy in new-onset type 1 diabetes. N Engl J Med. 2005;352(25):2598-608.
  151. Keymeulen B, Walter M, Mathieu C, Kaufman L, Gorus F, Hilbrands R, et al. Four-year metabolic outcome of a randomised controlled CD3-antibody trial in recent-onset type 1 diabetic patients depends on their age and baseline residual beta cell mass. Diabetologia. 2010;53(4):614-23.
  152. Herold KC, Hagopian W, Auger JA, Poumian-Ruiz E, Taylor L, Donaldson D, et al. Anti-CD3 monoclonal antibody in new-onset type 1 diabetes mellitus. N Engl J Med. 2002;346(22):1692-8.
  153. Herold KC, Gitelman SE, Masharani U, Hagopian W, Bisikirska B, Donaldson D, et al. A single course of anti-CD3 monoclonal antibody hOKT3gamma1(Ala-Ala) results in improvement in C-pepT1De responses and clinical parameters for at least 2 years after onset of type 1 diabetes. Diabetes. 2005;54(6):1763-9.
  154. Herold KC, Gitelman SE, Ehlers MR, Gottlieb PA, Greenbaum CJ, Hagopian W, et al. Teplizumab (anti-CD3 mAb) treatment preserves C-pepT1De responses in patients with new-onset type 1 diabetes in a randomized controlled trial: metabolic and immunologic features at baseline identify a subgroup of responders. Diabetes. 2013;62(11):3766-74.
  155. Sherry N, Hagopian W, Ludvigsson J, Jain SM, Wahlen J, Ferry RJ, Jr., et al. Teplizumab for treatment of type 1 diabetes (Protege study): 1-year results from a randomised, placebo-controlled trial. Lancet. 2011;378(9790):487-97.
  156. Ramos E, Dayan C, Chatenoud L, Sumnik Z, Simmons K, Szypowska A, et al. Teplizumab and β-Cell Function in Newly Diagnosed Type 1 Diabetes. N Engl J Med. 2023;389:2151-61.
  157. Pescovitz MD, Greenbaum CJ, Krause-Steinrauf H, Becker DJ, Gitelman SE, Goland R, et al. Rituximab, B-Lymphocyte Depletion, and Preservation of Beta-Cell Function. N Engl J Med. 2009;361(22):2143-52.
  158. Rituximab-pvvr and Abatacept vs Rituximab-pvvr Alone in New Onset Type 1 Diabetes (TN25). Available from: https://clinicaltrials.gov/study/NCT03929601?term=NCT03929601&rank=1.
  159. Haller MJ, Long SA, Blanchfield JL, Schatz DA, Skyler JS, Krischer JP, et al. Low-Dose Anti-Thymocyte Globulin Preserves C-PepT1De, Reduces HbA1c, and Increases Regulatory to Conventional T-Cell Ratios in New-Onset Type 1 Diabetes: Two-Year Clinical Trial Data. Diabetes. 2019;68(6):1267-76.
  160. Orban T, Bundy B, Becker DJ, DiMeglio LA, Gitelman SE, Goland R, et al. Co-stimulation modulation with abatacept in patients with recent-onset type 1 diabetes: a randomised, double-blind, placebo-controlled trial. Lancet. 2011;378(9789):412-9.
  161. Orban T, Bundy B, Becker DJ, Dimeglio LA, Gitelman SE, Goland R, et al. Costimulation modulation with abatacept in patients with recent-onset type 1 diabetes: follow-up 1 year after cessation of treatment. Diabetes Care. 2014;37(4):1069-75.
  162. Rigby MR, DiMeglio LA, Rendell MS, Felner EI, Dostou JM, Gitelman SE, et al. Targeting of memory T cells with alefacept in new-onset type 1 diabetes (T1DAL study): 12 month results of a randomised, double-blind, placebo-controlled phase 2 trial. Lancet Diabetes Endocrinol. 2013;1(4):284-94.
  163. Rigby MR, Harris KM, Pinckney A, DiMeglio LA, Rendell MS, Felner EI, et al. Alefacept provides sustained clinical and immunological effects in new-onset type 1 diabetes patients. J Clin Invest. 2015;125(8):3285-96.
  164. FrexalimAB in Preservation of Endogenous insULIN Secretion Compared to Placebo in adUlts and Adolescents on Top of inSulin Therapy (FABULINUS). Available from https://clinicaltrials.gov/study/NCT06111586?term=NCT06111586&rank=1.
  165. Moran A, Bundy B, Becker DJ, DiMeglio LA, Gitelman SE, Goland R, et al. Interleukin-1 antagonism in type 1 diabetes of recent onset: two multicentre, randomised, double-blind, placebo-controlled trials. Lancet. 2013;381(9881):1905-15.
  166. Long SA, Rieck M, Sanda S, Bollyky JB, Samuels PL, Goland R, et al. Rapamycin/IL-2 combination therapy in patients with type 1 diabetes augments Tregs yet transiently impairs beta-cell function. Diabetes. 2012;61(9):2340-8.
  167. Hartemann A, Bensimon G, Payan CA, Jacqueminet S, Bourron O, Nicolas N, Fonfrede M, Rosenzwajg M, Bernard C, Klatzmann D.Low-dose interleukin 2 in patients with type 1 diabetes: a phase 1/2 randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol 2013 Dec;1(4):295-305. 2013.
  168. Greenbaum CJ, Serti E, Lambert K, Weiner LJ, Kanaparthi S, Lord S, et al. IL-6 receptor blockade does not slow beta cell loss in new-onset type 1 diabetes. JCI Insight. 2021;6(21).
  169. Tatovic D, Marwaha A, Taylor P, Hanna SJ, Carter K, Cheung WY, Luzio S, Dunseath G, Hutchings HA, Holland G, Hiles S, Fegan G, Williams E, Yang JHM, Domingo-Vila C, Pollock E, Wadud M, Ward-Hartstonge K, Marques-Jones S, Bowen-Morris J, Stenson R, Levings MK, Gregory JW, Tree TIM, Dayan C; USTEKID Study Group Ustekinumab for type 1 diabetes in adolescents: a multicenter, double-blind, randomized phase 2 trial. Nat Med. 2024;30(9):2657-66.
  170. Clinical phase II/III trial of ustekinumab to treat type 1 diabetes (UST1D2). Available from: https://clinicaltrials.gov/ct2/show/NCT03941132?term=NCT03941132&draw=2&rank=1.
  171. Quattrin T, Haller MJ, Steck AK, Felner EI, Li Y, Xia Y, Leu JH, Zoka R, Hedrick JA, Rigby MR, Vercruysse F; T1GER Study Investigators. Golimumab and beta-cell function in youth with new-onset type 1 diabetes. NEJM. 2020 Nov 19;383(21):2007-17.
  172. von Herrath M, Bain SC, Bode B, Clausen JO, Coppieters K, Gaysina L, et al. Anti-interleukin-21 antibody and liragluT1De for the preservation of beta-cell function in adults with recent-onset type 1 diabetes: a randomised, double-blind, placebo-controlled, phase 2 trial. Lancet Diabetes Endocrinol. 2021;9(4):212-24.
  173. Waibel M, Wentworth JM, So M, Couper JJ, Cameron FJ, MacIsaac RJ, et al. Baricitinib and beta-Cell Function in Patients with New-Onset Type 1 Diabetes. N Engl J Med. 2023;389(23):2140-50.
  174. Janus Kinase (JAK) Inhibitors to Preserve C-PepT1De Production in New Onset Type 1 Diabetes (T1D). Available from: https://clinicaltrials.gov/study/NCT05743244?cond=type%201%20diabetes&intr=abrocitinib&rank=1.
  175. Giannoukakis N, Phillips B, Finegold D, Harnaha J, Trucco M. Phase I (safety) study of autologous tolerogenic dendritic cells in type 1 diabetic patients. Diabetes Care. 2011;34(9):2026-32.
  176. Carlsson P, Schwarcz E, Korsgren O, Le B. Preserved beta-cell function in type 1 diabetes by mesenchymal stromal cells. Diabetes. 2015;64(2):587-92.
  177. Haller M, Wasserfall C, Hulme MA, et al.. Autologous umbilical cord blood transfusion in young children with type 1 diabetes fails to preserve c-pepT1De. Diabetes Care. 2011;34(12):2567-9.
  178. Marek-Trzonkowska N, Mysliwiec M, Dobyszuk A, et al. Administration of CD4+CD25highC. Diabetes Care. 2012;35(9):1817-20.
  179. Marek-Trzonkowska N, Mysliwiec M, Dobyszuk A, et al. Therapy of type 1 diabetes with CD4(+)CD25(high)CD127-regulatory T cells prolongs survival of pancreatic islets - results of one year follow-up. Clin Immunol. 2014;153(1):23-30.
  180. Bender C, Wiedeman AE, Hu A, Ylescupidez A, Sietsema WK, Herold KC, et al. A phase 2 randomized trial with autologous polyclonal expanded regulatory T cells in children with new-onset type 1 diabetes. Sci Transl Med. 2024;16(746).
  181. Gottlieb PA, Alkanani AK, Michels AW. α1−Antitrypsin therapy downregulates toll-like receptor-induced IL-1β responses in monocytes and myeloid dendritic cells and may improve islet function in recently diagnosed patients with type 1 diabetes. J Clin Endocrinol Metab. 2014;99:E1418–E26.
  182. Allen HF, Klingensmith GJ, Jensen P, Simoes E, Hayward A, Chase HP. Effect of Bacillus Calmette-Guerin vaccination on new-onset type 1 diabetes. A randomized clinical study. Diabetes Care. 1999;22(10):1703-7.
  183. Louvet C, Szot GL, Lang J, Lee MR, Martinier N, Bollag G, Zhu S, Weiss A, Bluestone JA. Tyrosine kinase inhibitors reverse type 1 diabetes in nonobese diabetic mice. Proc Natl Acad Sci U S A. 2008;105(48):18895-900.
  184. Hagerkvist R, Sandler S, Mokhtari D, Welsh N. Amelioration of diabetes by imatinib mesylate (Gleevec): Role of beta-cell NF-kappaB activation and anti-apoptotic preconditioning. FASEB J. 2007;21(2):618-28.
  185. Gitelman SE, Bundy BN, Ferrannini E, Lim N, Blanchfield JL, DiMeglio LA, et al. Imatinib therapy for patients with recent-onset type 1 diabetes: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. Lancet Diabetes Endocrinol. 2021;9(8):502-14.
  186. Carter K, Cheung WY,, Hutchings HA, Fegan G, Holland G, Luzio S, Dunseath G, Hiles S, Marques-Jones S, Gregory JW, Tatovic D, Taylor P, Bowen-Morris J, Stenson R, Hanna S, Mahmood Z, Yang J, Williams E, Tree T, Marwaha A, Dayan CM. The efficacy and safety of ustekinumab in adolescents newly diagnosed with type 1 diabetes: the USTEK1D RCT. National Institute for Health and Care Research. 2025.
  187. Hagopian W, Ferry RJ, Jr., Sherry N, Carlin D, Bonvini E, Johnson S, et al. Teplizumab preserves C-pepT1De in recent-onset type 1 diabetes: two-year results from the randomized, placebo-controlled Protege trial. Diabetes. 2013;62(11):3901-8.
  188. Greenbaum CJ, Beam CA, Boulware D, Gitelman SE, Gottlieb PA, Herold KC, et al. Fall in C-pepT1De during first 2 years from diagnosis: evidence of at least two distinct phases from composite Type 1 Diabetes TrialNet data. Diabetes. 2012;61(8):2066-73.
  189. Wherrett DK, Chiang JL, Delamater AM, DiMeglio LA, Gitelman SE, Gottlieb PA, et al. Defining pathways for development of disease-modifying therapies in children with type 1 diabetes: a consensus report. Diabetes Care. 2015;38(10):1975-85.
  190. Keenan HA, Sun JK, Levine J, Doria A, Aiello LP, Eisenbarth G, et al. Residual insulin production and pancreatic ss-cell turnover after 50 years of diabetes: Joslin Medalist Study. Diabetes. 2010;59(11):2846-53.
  191. Dabelea D, Mayer-Davis EJ, Andrews JS, Dolan LM, Pihoker C, Hamman RF, et al. Clinical evolution of beta cell function in youth with diabetes: the SEARCH for Diabetes in Youth study. Diabetologia. 2012;55(12):3359-68.
  192. Gianani R, Campbell-Thompson M, Sarkar S, al. E. Dimorphic histopathology of long-standing childhood-onset diabetes. Diabetologia. 2010;53:690-8.
  193. Gruessner A, Gruessner RWG. The 2022 International Pancreas Transplant Registry Report-A Review. Transplant Proc. 2022;54(7):1918-43.
  194. Langlois A, Pinget M, Kessler L, Bouzakri K. Islet Transplantation: Current Limitations and Challenges for Successful Outcomes. Cells. 2024;13(21).
  195. Pagliuca FW, Millman JR, Gurtler M, Segel M, Van Dervort A, Ryu JH, et al. Generation of functional human pancreatic β cells in vitro. Cell. 2014;159(2):428-39.
  196. Millman JR, Xie C, Van Dervort A, Gurtler M, Pagliuca FW, Melton DA. Generation of stem cell-derived β-cells from patients with type 1 diabetes. Nat Commun. 2016;7.
  197. Veres A, Faust AL, Bushnell HL, Engquist EN, Kenty JHR, Harb G, et al. Charting cellular identity during human in vitro β-cell differentiation. Nature. 2019;569(7756):368-73.
  198. Karpov DS, Sosnovtseva AO, Pylina SV, Bastrich AN, Petrova DA, Kovalev MA, et al. Challenges of CRISPR/Cas-Based Cell Therapy for Type 1 Diabetes: How Not to Engineer a "Trojan Horse". Int J Mol Sci. 2023 Dec 10;24 (24):17320.
  199. Desai T, Shea LD. Advances in islet encapsulation technologies. Nat Rev Drug Discov. 2017;16(5):338-50.

Triglyceride Lowering Drugs

ABSTRACT 

The two major goals of the treatment of hypertriglyceridemia are the prevention of cardiovascular disease and pancreatitis. Here we discuss the drugs used for the treatment of hypertriglyceridemia: (niacin, fibrates, omega-3-fatty acids, and apo CIII inhibitors. Niacin decreases total cholesterol, TGs (20-50% decrease), LDL-C, and Lp(a). Additionally, niacin decreases small dense LDL resulting in a shift to large, buoyant LDL particles. Moreover, niacin increases HDL-C. Skin flushing, insulin resistance, and other side effects have limited the use of niacin. The enthusiasm for niacin has greatly decreased with the failure of AIM-HIGH and HPS-2 Thrive to decrease cardiovascular events when niacin was added to statin therapy. The omega-3-fatty acids eicosapentaenoic acid (C20:5n-3) (EPA) and docosahexaenoic acid (C22:6n-3) (DHA) lower TGs by 10-50% but do not affect total cholesterol, HDL-C, or Lp(a). LDL-C may increase with EPA + DHA when the TG levels are markedly elevated (>500mg/dL). EPA alone does not increase LDL-C. Omega-3-fatty acids have few side effects, drug interactions, or contraindications. Numerous studies of low dose omega-3-fatty acids on cardiovascular outcomes have failed to demonstrate a benefit. However, in the JELIS, REDUCE-IT, and RESPECT-EPA trials high doses of EPA alone reduced cardiovascular events while in the STRENGTH and OMEMI trials high doses of EPA+DHA did not reduce cardiovascular events. Fibrates reduce TG levels by 25-50% and increase HDL-C by 5-20%. The effect on LDL-C is variable. If the TG levels are very high (>500mg/dL), fibrate therapy may result in an increase in LDL-C, whereas if TGs are not markedly elevated fibrates decrease LDL-C by 10-30%. Fibrates also reduce apolipoprotein B, LDL particle number, and non-HDL-C and there may be a shift from small dense LDL towards large LDL particles. Fibrates do not have any major effects on Lp(a). Monotherapy with fibrates appears to reduce cardiovascular events particularly in patients with high TG and low HDL-C levels. In contrast, in the ACCORD LIPID and PROMINENT trials the addition of fibrates to statin therapy did not reduce cardiovascular disease, which has reduced the enthusiasm for using fibrates to reduce cardiovascular disease. In patients with diabetes fibrates appear to slow the progression of microvascular disease (retinopathy, nephropathy, and amputations, ulcers, and gangrene. Antisense oligonucleotides, volanesorsen and olezarsen, inhibit the production of apolipoprotein C-III and decrease TG levels in patients with severe hypertriglyceridemia including patients with the familial chylomicronemia syndrome (FCS). Studies also suggest that apo CIII inhibitors reduce episodes of pancreatitis in patients with severe hypertriglyceridemia. Patients with FCS have also reported that apo C-III inhibitors improved symptoms and reduced interference of FCS with work/school responsibilities. Of concern has been decreases in platelet levels with 47% of patients treated with volanesorsen developing platelet counts below100 x 109/L, a side effect that is not observed with olezarsen. Thus, a number of drugs are available for the treatment of hypertriglyceridemia and may be employed when lifestyle changes are not sufficient. 

 

INTRODUCTION

The two primary goals of the treatment of hypertriglyceridemia are the prevention of cardiovascular disease and the prevention of pancreatitis. The evaluation and guidelines for the management of hypertriglyceridemia are discussed in detail in the Endotext chapters “Risk of Fasting and Non-Fasting Hypertriglyceridemia in Coronary Vascular Disease and Pancreatitis” (1) and Pancreatitis Secondary to Hypertriglyceridemia (2), and the approach to evaluating a patient with hypertriglyceridemia is discussed in the Endotext chapter “Approach to the Patient with Dyslipidemia” (3). The treatment of hypertriglyceridemia by diet and weight loss are discussed in detail in the Endotext chapters “The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels” and “Obesity and Dyslipidemia” (4,5). Lifestyle changes are recommended as the first line for hypertriglyceridemia therapy, but drug therapy is often required. In this chapter we will discuss the drugs used for the treatment of elevated plasma TG levels. Statins, ezetimibe, PCSK9 inhibitors, bempedoic acid, lomitapide, mipomersen, and evinacumab, which are primarily used to lower LDL-C, are discussed in the chapter “Cholesterol Lowering Drugs” (6).  

 

NIACIN

Introduction

Niacin was the first drug approved to treat dyslipidemia. In 1955, Altschul et al showed that pharmacologic doses of niacin decreased plasma cholesterol levels (7). Several forms of niacin are available for clinical use. Immediate release niacin has a short duration of action and is typically given two or three times per day with meals, whereas sustained release niacin and extended-release niacin are once a day drugs usually given at bedtime. The extended release form of niacin exhibits release rates that are intermediate between immediate release niacin and sustained release niacin (8). While the effects of the various forms of niacin on plasma lipid levels are similar, the side effect profiles are different. Because of an increased risk of serious liver toxicity with sustained release niacin this preparation is no longer widely used to treat dyslipidemia. Over-the- counter “No flush” niacin is also available but is generally ineffective as a lipid-modifying agent because most of these preparations do not contain active nicotinic acid.    

 

Effect of Niacin on Lipid and Lipoprotein Levels

Table 1. Effect of Niacin on Lipid and Lipoproteins

Decreases Total Cholesterol

Decreases LDL-C

Decreases TGs

Decreases Non-HDL-C

Decreases Lp(a)

Increases HDL-C

Decreases Apolipoprotein B

Shifts Small Dense LDL to Large Buoyant LDL

 

Niacin decreases all the pro-atherogenic lipid and lipoprotein particles including total cholesterol, TG, LDL-C, and Lp(a) levels (Table 1) (9,10). Additionally, niacin has been shown to decrease small dense LDL resulting in a shift to large, buoyant LDL particles (11). Moreover, niacin increases HDL-C levels (9,10).

 

In a meta-analysis of 30 trials with 4,749 subjects treatment with immediate release, sustained release, or extended release niacin decreased total cholesterol by 10%, decreased TGs by 20%, decreased LDL-C by 14%, and increased HDL-C by 16% (12). All three niacin preparations were effective in decreasing total cholesterol, TG, and LDL-C levels and increasing HDL-C levels (12). At a dose of 1.5 grams per day, immediate release niacin and extended release niacin produced similar decreases in total cholesterol, TGs, and LDL-C and a similar increase in HDL-C (13). A meta-analysis of 14 studies with 9,013 subjects reported a 23% decrease in Lp(a) with extended release niacin treatment (14).

 

A small meta-analysis of 5 trials in 432 subjects compared the response to extended release niacin in men and women (15). The effect of niacin on LDL-C was greater in women than men at all niacin doses (1,000mg 6.8% decrease in women vs 0.2% in men, p = 0.006; 1,500mg 11.3% decrease vs 5.6% decrease, p = 0.013; 2,000 mg 14.8% decrease vs 6.9% decrease, p = 0.010; 3,000mg 28.7% decrease vs 17.7% decrease, p = 0.006). The effect of niacin on plasma TG levels also tended to be greater in women but the difference only reached statistical significance at the 1,500mg dose (28.6% vs 20.4%, p = 0.040). The mechanism for the more robust decrease in LDL-C and TGs in women is unknown but might be due to a smaller body mass in women leading to increased circulating niacin levels and hence a greater response. However, the effect of niacin on HDL-C and Lp(a) levels were similar in males and females. Not unexpectedly the effect of niacin is dose dependent with higher doses having a greater effect on plasma lipid and lipoprotein levels (Table 2) (15).

 

Table 2. Effect of Niacin Dose on Lipid and Lipoprotein Response in Women (percent change)

Niacin Dose

LDL-C

TG

HDL-C

Lp(a)

500mg

-5.2

-9.5

7.7

-2.6

1000mg

-6.8

-14.5

17.6

-11.5

1500mg

-11.3

-28.6

21.1

-4.0

2000mg

-14.8

-37.3

25.2

-24.7

2500mg

-28.7

-45.6

34.5

-28.6

3000mg

-28.7

-51.0

28.7

-29.9

 

Numerous studies have examined the effect of the addition of niacin to statin therapy. Combination therapy typically results in further reductions in atherogenic lipoprotein particles and an increase in HDL-C levels. An example of such a study is shown in Table 3 (16).

 

Table 3. Effect of the Addition of Niacin to Statin Therapy on Lipid and Lipoprotein Levels

 

 Change in Lipids with Addition of Extended-Release Niacin 2000mg/day to Simvastatin 20mg/day

LDL-C

7.1% Decrease

HDL-C

18.2% Increase

TG

22.7% Decrease

Non-HDL-C

15.1% Decrease

Lp(a)

17.4% Decrease

 

While a literature search did not find any studies comparing the combination of ezetimibe + niacin vs. monotherapy there is a large trial that has examined the effect of adding 2 grams niacin to ezetimibe/simvastatin 10/20 (17). In this study the addition of niacin improved the lipid profile with a marked decrease in TGs and an increase in HDL-C levels (table 4).

 

Table 4. Effect of the Addition of Niacin to Ezetimibe/Statin Therapy on Lipid and Lipoprotein Levels

 

 Change in Lipids with Addition of Niacin 2000mg/day to Ezetimibe/Simvastatin 10/20mg/day

LDL-C

4.8% Decrease

HDL-C

21.5% Increase

TG

17.6% Decrease

Non-HDL-C

7.3% Decrease

 

In patients with marked hypertriglyceridemia combining niacin with other drugs that also lower plasma TGs can be considered. Sixty patients with the metabolic syndrome were randomized to 16 weeks of treatment with placebo, omega-3-fatty acids (Lovaza 4 g/day), extended release niacin (2 g/day), or both drugs in combination (18). In the niacin group TGs decreased by 30%, in the omega-3-fatty acids group by 22%, and in the combination group by 42% compared to the placebo group. Of note, the beneficial effects of niacin on decreasing LDL-C and non-HDL-C levels were blunted by omega-3-fatty acids, which are known to raise LDL-C levels in patients with marked hypertriglyceridemia (see below). These results show that the combination of niacin and fish oil will lower TG levels more than either drug individually but at the expense of diminishing the effect of niacin on LDL and non-HDL-C levels.   

 

Surprisingly there are few large, randomized trials examining the effect of combination therapy with niacin + fibrate vs. monotherapy. One very small trial reported that while both niacin monotherapy and bezafibrate monotherapy were effective in lowering serum TGs there was no statistically significant added benefit of combination therapy in reducing serum TG levels (19). However, a larger trial in HIV+ patients reported that the combination of niacin and fenofibrate was better at lowering TGs and non-HDL-C and increasing HDL-C levels than monotherapy with either niacin or fenofibrate (20). It would be informative if additional trials of combination therapy were carried out in patients with marked hypertriglyceridemia that can often be difficult to control with lifestyle changes and monotherapy.

 

Mechanisms Accounting for the Niacin Induced Lipid Effects

TRIGLYCERIDES

Early studies demonstrated that niacin inhibited the release of free fatty acids from cultured adipocytes and decreased circulating free fatty acid levels (21-23). The ability of niacin to inhibit adipose tissue lipolysis is mediated by the activation of GPR109A (hydroxycarboxylic acid 2 receptor), a G protein-coupled receptor that is highly expressed in adipose tissue (23-25). It was initially thought that the decrease in plasma TGs induced by niacin therapy was due to niacin inhibiting lipolysis in adipose tissue resulting in a decrease in the transport of fatty acids to the liver leading to the decreased availability of fatty acids for hepatic TG synthesis. However, studies have shown that while niacin acutely decreases plasma free fatty acid levels this inhibition is not sustained (26). Additionally, studies in mice lacking GPR109A have shown that niacin does not inhibit lipolysis but still decreases plasma TG and LDL-C levels (27). Moreover, studies in humans using GPR109A agonists lowered plasma free fatty acid levels but did not cause the expected effects on plasma TGs and LDL-C (27). Thus, the effects of niacin on adipose tissue lipolysis are no longer thought to mediate the niacin induced decrease in plasma TG levels.

 

Niacin has been shown to inhibit diglycerol acyltransferase 2 (DGAT2) activity in the liver (23,28). DGAT2 is the key enzyme that catalyzes the final step in TG synthesis. Inhibition of DGAT2 will reduce hepatic TG synthesis and the availability of TG for VLDL assembly and secretion (23). A decrease in TG will result in an increase in apolipoprotein B degradation in the liver. Kinetic studies in humans have shown that treatment with niacin decreases VLDL TG production (29,30).

 

In addition, in animal models, niacin reduces the hepatic expression of apolipoprotein C-III, which could result in the accelerated clearance of TG rich lipoproteins (31). Whether this plays a significant role in mediating the decrease in plasma TG levels induced by niacin therapy remains to be determined.

 

LOW DENSITY LIPOPROTEIN

The decrease in plasma LDL-C with niacin therapy is thought to be secondary to a reduction in VLDL and LDL formation and secretion by the liver (23).

 

HIGH DENSITY LIPOPROTEIN

There are multiple potential mechanisms by which niacin may increase HDL-C levels. Some of these changes may be anti-atherogenic while others may be pro-atherogenic. One hypothesis for the increase in HDL induced by niacin therapy is a decrease in the surface expression of hepatocyte beta chain ATP synthase, a receptor that has been proposed to be involved in the uptake of HDL particles by the liver (32). Studies have further shown that niacin inhibits HDL protein degradation by cultured hepatocytes but does not inhibit the selective uptake of cholesterol esters carried in HDL (23,33).

 

Some kinetic studies have shown that niacin decreases HDL and apolipoprotein A1 fractional catabolic rate (34,35). In contrast, other kinetic studies have shown that niacin increase apolipoprotein AI production (36).

 

In addition, in monocytes, niacin also increased the expression of ABCA1 and CD36 resulting in an increase in cholesterol efflux to HDL, which would increase HDL-C levels and likely have anti-atherogenic effects (37). Similarly, in vitro studies suggest that niacin may increase the transport of cholesterol and phospholipids via ABCA1 from the liver to lipid poor apolipoprotein A1 particles thereby decreasing the clearance of apolipoprotein A1, which might not be anti-atherogenic (23,38).

 

Finally, decreasing plasma TG levels may result in a reduction in CETP mediated exchange of TGs on VLDL for cholesterol on HDL leading to an increase in HDL-C levels. Additionally, studies have shown that niacin decreases the expression of CETP (39).

   

LIPOPROTEIN(a)

Niacin decreases the synthetic rate of Lp(a) but does not increase Lp(a) catabolism (40,41). In cell culture and animal studies niacin has been shown to decrease the expression of apo (a) (42).

 

Pharmacokinetics  

Oral niacin is well absorbed with immediate release niacin resulting in a rapid increase in plasma levels while extended release and sustained release niacin result in a delayed peak in plasma levels. Niacin undergoes metabolism in the liver by two primary pathways; conjugation or amidation (8,43). The conjugative pathway is low affinity and high capacity that metabolizes niacin to nicotinuric acid while the amidation pathway is high affinity and low capacity that converts niacin into several oxidative-reductive intermediates, which can induce hepatic toxicity (8,43) (Figure 1). The clinical importance is that immediate release niacin results in high levels of niacin and therefore is primarily metabolized by the conjugative pathway (low affinity, high capacity), which does not result in toxic intermediates that can cause liver damage. In contrast, sustained release niacin results in lower levels of niacin for a longer period and therefore metabolism via the amidation pathway (high affinity, low capacity) is dominant leading to an increase in the formation of toxic intermediates that can induce hepatic injury (8,43). Extended-release niacin would be metabolized midway between immediate release and sustained release

niacin (43).

Figure 1. Pathways of Niacin Metabolism.

Effect of Niacin on Cardiovascular Outcomes 

MONOTHERAPY

The Coronary Drug Project, conducted between 1966 and 1975, was the first large randomized, double-blind clinical trial to show that lowering lipids reduced cardiovascular disease (44). This trial determined the effect of clofibrate (1.8g/day), dextrothyroxine (6mg/day), two doses of oral estrogen (2.5 or 5mg per day), or immediate release niacin (3 grams/day) vs. placebo in 8,341 men 30 to 64 years of age with an electrocardiogram documented myocardial infarction. The mean baseline total cholesterol level was 251mg/dL and the TG level was 183mg/dL. The two estrogen regimens and dextrothyroxine treatment groups were discontinued early because of increased adverse effects. Clofibrate treatment did not demonstrate clinical benefit. In the niacin treated patients there was an average 10% decrease in serum cholesterol and 26% decrease in serum TGs despite modest compliance with the study medication. Moreover, niacin treatment (n=1,119) decreased recurrent myocardial infarctions by 26%, stroke by 24%, and revascularization by 67% compared to placebo (n=2,789) but did not decrease total mortality, which was the primary endpoint. Long term follow-up (6.2 years during the study and 8.8 years post study after niacin was discontinued in most participants) demonstrated an 11% decrease in mortality in the niacin group vs. the placebo group (52.0 versus 58.2%; p = 0.0004) (45). The majority of this difference in mortality was accounted for by a decrease in coronary heart disease mortality (36.5% vs. 41.3%; p=0.005). Further analysis revealed that niacin reduced the risk of 6-year recurrent myocardial infarction and coronary heart disease death and 15-year total mortality similarly in patients at all levels of baseline fasting plasma glucose, including those with glucose levels ≥126mg/dL (i.e. patients with diabetes) (46). Additionally, the beneficial effect of niacin on cardiovascular events and total mortality was not diminished, even among those with one hour plasma glucose levels > 220mg/dL (46). Moreover, the beneficial effects of niacin on recurrent myocardial infarction and total mortality were similar in patients with or without the metabolic syndrome at baseline (47). These results demonstrate that immediate release niacin monotherapy decreases recurrent atherosclerotic cardiovascular events in a broad spectrum of patients with pre-existing cardiovascular disease (secondary prevention).

 

COMBINATION WITH FIBRATES

In the Stockholm Ischemic Heart Disease Secondary Prevention Study survivors of a myocardial infarction below 70 years of age were randomized to a control group (n = 276) (no placebo) and a group treated with clofibrate (2 grams) and immediate release nicotinic acid (up to 3 grams) (n = 279) (48). Serum cholesterol and TG were lowered by 13% and 19%, respectively, in the treatment group compared to the control group. Recurrent myocardial infarction was reduced by 50% within one year (49). Total mortality was decreased by 26% in the group treated with clofibrate + niacin (p< 0.05) while ischemic heart disease mortality was decreased by 36% (p< 0.01). Notably, the benefit of clofibrate + niacin was only observed in patients with a baseline TG level > 143mg/dL. In the age of statins, the clinical implications of this early study are unclear. 

 

COMBINATION WITH STATINS

The AIM-HIGH trial was designed to determine if the addition of Niaspan, an extended-release form of niacin, to aggressive statin therapy would result in a further reduction in cardiovascular events in patients with pre-existing cardiovascular disease (50). In this trial 3,314 patients were randomized to extended-release Niaspan (1500-2000mg/day) vs. placebo that contained 100-150mg of immediate release niacin. On trial, LDL-C levels were in the 60-70mg/dL range in both groups. As expected, HDL-C levels were increased in the Niaspan treated group (approximately 44mg/dL vs. 38mg/dL), while TGs were decreased (approximately 121mg/dL vs. 155mg/dL). However, there were no differences in the primary endpoint between the control and Niaspan treated groups (Primary endpoint consisted of the first event of death from coronary heart disease, nonfatal myocardial infarction, ischemic stroke, hospitalization for an acute coronary syndrome, or symptom-driven coronary or cerebral revascularization). There were also no differences in secondary endpoints except for a possible increase in strokes in the Niaspan treated group. The addition of Niaspan to statin therapy did not result in a significant increase in either muscle or liver toxicity. Thus, this study does not provide support for the addition of niacin to statins. However, most of the patients included in this study did not have a lipid profile that one would typically consider treating with niacin therapy. In the subset of patients with TG > 198mg/dL and HDL-C < 33mg/dL Niaspan treatment showed a trend towards benefit (hazard ratio 0.74; p=0.073), suggesting that if the appropriate patient population was studied the results may have been different (51).

 

HPS 2 Thrive also studied the effect of niacin added to statin therapy (52). This trial utilized extended-release niacin (2000mg/day) combined with laropiprant, a prostaglandin D2 receptor antagonist, which reduces the flushing side effect of niacin treatment. HPS 2 Thrive was a very large trial with over 25,000 patients randomized to either niacin therapy or placebo. As in the AIM HIGH study, the baseline LDL-C levels were low at 63mg/dL, the HDL-C levels were 44mg/dL, and the TGs were 125mg/dL at baseline. As expected, niacin therapy resulted in a modest reduction in LDL-C (10mg/dL), a modest increase in HDL-C (6mg/dL), and a marked reduction in TGs (33mg/dL) compared to placebo. However, despite these lipid changes there were no significant differences in major cardiovascular events between the niacin and control group (risk ratio 0.96 CI 0.90- 1.03). It is unknown whether laropiprant, the prostaglandin D2 receptor antagonist, might have effects that worsen atherosclerosis and increase event rates. Mice deficient in the prostaglandin D2 receptor have been noted to have an increase in atherogenesis in response to angiotensin II (53). Similar to the AIM-HIGH study, the group of patients included in the HPS 2 Thrive trial may not have been the ideal patient population to study for the beneficial effects of niacin treatment added to statin therapy. Ideally, patients with high TGs and high non-HDL-C levels coupled with low HDL-C levels should be studied.

 

Thus, these two studies have failed to demonstrate that adding niacin to statin therapy results in a decrease in cardiovascular events. It should be recognized that both the AIM-HIGH study and the HPS-2 Thrive study had limitations. First, the patient populations that were included in these studies were not ideal as the TG and non-HDL-C levels were not elevated in a range that one would usually consider adding niacin therapy. Second, in both trials a significant percentage of patients stopped niacin therapy (AIM-HIGH 25.4% discontinued niacin; HPS-2 Thrive 25.4% discontinued niacin). Third, the duration of these studies was relatively short, and it is possible that the beneficial effects of niacin take longer to occur (AIM-HIGH 3 years; HPS-2 Thrive 3.9 years). Fourth, in the HPS-2 Thrive it is possible, as noted earlier, that laropiprant had adverse effects that increased the risk of cardiovascular events. Fifth, in the AIM-HIGH study the placebo contained a low dose of niacin, which may have resulted in beneficial effects. Finally, both of these trials used extended-release niacin, whereas the Coronary Drug Project and the Stockholm Ischemic Heart Disease Secondary Prevention Study used immediate release niacin. It is possible that these different formulations of niacin have different effects on cardiovascular events. Additional studies are required to definitively determine the effect of niacin added to a statin therapy on cardiovascular events.

 

Effect of Niacin on Atherosclerosis

Many of the initial niacin therapy imaging studies combined niacin with other drugs and compared these combinations vs. placebo. These studies showed that niacin in combination with other drugs reduced the progression and/or increased the regression of atherosclerosis. However, because of the use of other drugs it is impossible to determine if niacin therapy per se was beneficial (Table 5).

 

Table 5. Niacin Angiography Imaging Studies

Combination Studies

Drugs

Cholesterol Lowering Atherosclerosis Study (CLAS) (54)

Niacin + colestipol vs. placebo

Familial Atherosclerosis Treatment Study (FATS) (55)

Niacin + colestipol or lovastatin + colestipol vs. placebo

UCSF-SCORE (56)

Niacin + colestipol +/- lovastatin vs. placebo +/- low dose colestipol

HDL Atherosclerosis Study (HATS) (57)

Niacin + simvastatin vs. placebo

Armed Forces Regression Study (58)

Niacin + gemfibrozil + cholestyramine vs. placebo

Harvard Atherosclerosis Reversibility Project (HARP)  (59)

Niacin + pravastatin + cholestyramine + gemfibrozil as needed vs. placebo

 

However, there are studies that compared niacin to placebo or other drugs added to standard statin therapy that do provide useful insights (Table 6).

 

Table 6. Effect of Niacin Added to Statin Therapy on Atherosclerosis

 

Drug Comparison

Results

ARBITER 2/3

(60,61)

ER niacin vs. placebo

Decrease in CIMT vs. placebo

ARBITER 6 (62)

ER niacin vs. ezetimibe

Decrease in CIMT vs. ezetimibe

Thoenes (63)

ER niacin vs. placebo

Decrease in CIMT vs. placebo

Lee (64)

Modified release niacin vs. placebo

Decrease in carotid wall area on MRI vs. placebo

 

The ARBITER 2 Trial was a double-blind randomized study of extended-release niacin (1000mg) vs. placebo added to background statin therapy in 167 patients with coronary heart disease and low HDL-C levels (<45mg/dL) (61). At the initiation of the study mean LDL-C levels were < 100mg/dL. The primary end point was the change in common carotid intima-media thickness (CIMT). As expected, plasma TGs decreased and HDL-C levels increased with niacin therapy. LDL-C levels were unchanged. After 12 months, the mean CIMT increased significantly in the placebo group (P<0.001) and was unchanged in the niacin group (P=0.23). The overall difference in CIMT progression between the niacin and placebo groups was almost statistically significant (P=0.08). Cardiovascular events occurred in 3 patients treated with niacin (3.8%) and 7 patients treated with placebo (9.6%; P=0.20). ARBITER 3 was a 12-month extension and in the 57 patients that continued on niacin therapy there was an additional regression of CIMT (p = 0.001 vs. placebo) (60).

 

In ARBITER 6, patients with coronary heart disease or a coronary heart disease risk equivalent on long-term statin therapy with LDL-C level < 100mg/dL and an HDL-C level < 50mg/dL for men or <55mg/dL for women were randomly assigned to receive either extended-release niacin (target dose, 2000mg per day) or ezetimibe (10mg per day) (62). The primary end point was the change from baseline in the mean CIMT. LDL-C levels decreased in the ezetimibe group by −18mg/dL (~ 20%) and by −10.0mgdL (~ 12%) in the niacin group (P=0.01) while HDL-C levels were slightly decreased in the ezetimibe group −2.8mg/dL and increased by 7.5mg/dL (~18%) in the niacin group (P<0.001). TG levels were not markedly altered in the ezetimibe group but decreased by ~ 15-20% in the niacin group.  Notably niacin therapy resulted in a significant reduction of both mean (P = 0.001) and maximal CIMT (P < 0.001) while ezetimibe therapy significantly increased CIMT (P < 0.001). The incidence of major cardiovascular events was lower in the niacin group than in the ezetimibe group (1% vs. 5%, P = 0.04).

 

In a trial by Thoenes and colleagues fifty patients with the metabolic syndrome not on statin therapy were randomized to either extended-release niacin (1000mg/day) or placebo (63). Treatment with niacin decreased LDL-C by 17% and TGs by 23% and increased HDL-C levels by 24% without significant changes in the placebo group. After 52 weeks of treatment, there was an increase in CIMT of +0.009 +/- 0.003 mm in the placebo group and a decrease in CIMT of -0.005 +/- 0.002 mm in the niacin group (p = 0.021 between groups).

 

Finally, Lee and colleagues performed a double-blind, randomized study of 2 g daily modified-release niacin or placebo added to statin therapy in 71 patients with low HDL-C (<40mg/dL) and either: 1) type 2 diabetes with coronary heart disease; or 2) carotid/peripheral atherosclerosis (64). The primary end point was the change in carotid artery wall area, quantified by magnetic resonance imaging, after 1 year. Treatment with niacin increased HDL-C by 23% and decreased LDL-C by 19% and TGs by 11%. At 12 months, niacin significantly reduced carotid wall area compared with placebo (Mean change in carotid wall area was -1.1 +/- 2.6 mm2 for niacin vs +1.2 +/- 3.0 mm2 for placebo).

 

While these imaging studies provide data suggesting that niacin therapy when added to statin therapy may reduce atherosclerotic cardiovascular disease, one must recognize that the studies described above were relatively small studies and that decreases or the lack of progression in CIMT or carotid wall area are surrogate markers, which may not necessarily indicate that cardiovascular events will be decreased.  

 

Side Effects

Treatment with niacin frequently results in side effects and these side effects are a major limitation of niacin therapy.

 

SKIN FLUSHING

This is a very common side effect and is characterized by redness and warmth due to vasodilation of the blood vessels in the skin (9,65). It is often most apparent in the head and neck region. Itching can occur and a tingling and burning sensation may also be noted. Niacin induced flushing is usually not accompanied by diaphoresis. The cutaneous flushing usually lasts for approximately one hour and in some patients it is extremely annoying. In a review of 30 studies, it was noted that flushing occurred in 85% of participants treated with immediate release niacin, 66% of participants treated with extended release niacin, and 26% of participants treated with slow release niacin (12).  The occurrence of flushing is related to a rapid increase in plasma nicotinic acid levels, which differs depending upon the niacin preparation. Flushing was the primary reason that subjects discontinued niacin therapy during studies and with either immediate release or extended release niacin approximately 20% of study participants discontinue niacin, which is twice the rate of discontinuation observed in the placebo groups (12). Continuous administration of niacin for approximately one- week results in tachyphylaxis and flushing decreases. Unfortunately, if a patient skips taking niacin for a few days this tachyphylaxis is lost and the flushing returns.

 

The mechanism for the niacin induced skin flushing has been partially elucidated (9,65). Niacin activates GPR109A in dermal Langerhan cells (macrophages in the skin), which leads to the increased production of prostaglandin D2.  Additionally, niacin activates GPR 109A in keratinocytes, which leads to the production of prostaglandin E2.  The prostaglandins then interact with prostaglandin receptors on blood vessels resulting in vasodilation and the flushing phenomena. Aspirin and nonsteroidal anti-inflammatory drugs (NSAIDS) taken prior to niacin administration can decrease flushing by inhibiting the synthesis of prostaglandins (9,66). Laropiprant decreases flushing by blocking the D prostanoid receptor (9). Since flushing is related to rapid increases in plasma nicotinamide levels taking immediate release niacin with food slows absorption and thereby reduces flushing. Extended-release niacin is typically taken at bedtime so that the flushing will occur when the patient is asleep. Conditions that predispose to cutaneous vasodilatation such as alcohol intake, hot liquids, spicy foods, or hot showers should be avoided. One should increase the dose of niacin slowly to reduce the severity of flushing reactions and allow tolerance to develop.

 

HEPATIC TOXICITY

Sustained release niacin has a much greater propensity to induce hepatic toxicity than other niacin preparations and therefore is no longer widely used (8,43,67). The explanation for this difference is due to the increased metabolism of sustained release niacin by the amidation pathway described in the pharmacokinetics section, which results in toxic compounds that injure the liver (8,43). Patients who have developed signs of liver toxicity on sustained release niacin can often be treated with immediate release niacin without developing liver problems (68). Extended-release niacin can induce liver dysfunction but the rate is much lower than sustained release niacin. Because of the potential for liver disease, serum transaminase levels (SGOT and SGPT) should be monitored before treatment begins, every 6 to 12 weeks for the first year, and periodically thereafter (e.g., at approximately 6-month intervals).

 

It should be noted that there is some evidence that niacin may be beneficial for non-alcoholic fatty liver disease (NAFLD) but further studies are required (69).

 

MUSCLE SYMPTOMS

Myalgias and myopathy have not been a significant adverse effect with niacin monotherapy (12). In combination with statins, an increased risk of muscle symptoms has been observed in some studies. In the HPS-2 Thrive study the combination of simvastatin and extended-release niacin increased the risk of myopathy four-fold (1.2% of patients on combined therapy) (52). Of note, this increase occurred predominantly in Chinese participants. In contrast, in the AIM-HIGH trial muscle related symptoms were not increased with the simvastatin + niacin combination (50,70).

 

HYPERGLYCEMIA

It has been recognized for many years that niacin induces insulin resistance (71). The mechanisms by which niacin induces insulin resistance are unknown but possible mechanisms include a rebound increase in free fatty acids with niacin therapy or the accumulation of diacylglycerol (30,72). A recent analysis of the AIM-HIGH trial demonstrated that in subjects with normal glucose metabolism, subjects with impaired fasting glucose, and subjects with diabetes, treatment with extended release niacin resulted in only small increases in fasting glucose levels but increased serum insulin levels due to an increase in insulin resistance (73). Additionally, there was an increased risk of progressing from normal to impaired fasting glucose in subjects treated with niacin in the AIM-HIGH trial (niacin 58.6% vs placebo 41.5%; P < .001) (73).

 

A meta-analysis examined the effect of niacin therapy on the development of new onset diabetes (74). In 11 trials with 26,340 non-diabetic participants, niacin therapy was associated with a 34% increased risk of developing diabetes (RR of 1.34; 95% CIs 1.21 to 1.49). This increased risk results in one additional case of diabetes per 43 initially non-diabetic individuals who are treated with niacin for 5 years (0.47% ten-year risk or 4.7 per 1000 patient years). Results were similar in patients who were receiving niacin therapy in combination with statin therapy.

 

Studies have shown that niacin is usually well tolerated in diabetic subjects who are in good glycemic control (75,76). In patients with poor glycemic control, niacin is more likely to adversely impact glucose levels. A meta-analysis of 7 studies with 838 patients with diabetes found that niacin therapy did not result in a significant increase in fasting glucose levels in short term studies but in long term studies there was a very small increase in fasting glucose levels (1.5mg/dL) that was not clinically significant (77). An important caveat is that in most of these trials adjustments in diabetes therapy were permitted, which could blunt worsening of glycemic control. In contrast to these findings, the HPS-2 Thrive Trial reported that in the 8,299 participants who had diabetes at the time of randomization, treatment with niacin–laropiprant was associated with a 55% increase in serious disturbances in diabetes control, most of which led to hospitalization (11.1% vs. 7.5%, P<0.001) (52). The extent to which the latter was due to laropiprant is unknown. Thus, care must be used in treating patients with diabetes with niacin. In patients in whom adjustments in diabetic therapy can easily be carried out the risk of adverse effects will likely be limited whereas in patients in whom adjustments in diabetic therapy will be difficult the risks of niacin therapy are likely to be increased. Careful patient selection and education are important steps to reduce the risks of niacin therapy in patients with diabetes.

 

Thus, while niacin therapy may adversely affect glucose homeostasis one needs to balance these adverse effects with the potential benefits of niacin therapy. One should note that in the Coronary Drug Project participants with abnormal glucose metabolism also demonstrated a decrease in cardiovascular events with niacin therapy (46).  

 

URIC ACID  

Niacin may increase uric acid levels by inhibiting the secretion of uric acid (9,78). In susceptible patients niacin therapy can precipitate gouty attacks (9).   

 

GASTROINTESTINAL SYMPTOMS  

Niacin therapy can induce heartburn, indigestion, nausea, diarrhea, and abdominal discomfort (9). High dose niacin is more likely to cause these gastrointestinal disturbances. The mechanism for these symptoms is not clear. 

 

MISCELLANEOUS  

Recent trials have reported an increased incidence of infections with niacin therapy (52,70). A trial of niacin in combination with laropiprant found increased bleeding (52). The increased bleeding could be due to the approximately 10% decrease in platelet levels that can occur with niacin (see Niaspan Package Insert). However, a very large observational study that compared rates of major gastrointestinal bleeding and intracranial hemorrhage in patients treated with niacin (>200,000 subjects) to propensity matched subjects on fenofibrate did not observe an increase in bleeding (79). Niacin has been reported to induce cystoid macular edema, which resolves when the drug is stopped (80).

 

Contraindications

There are a number of contraindications to niacin therapy (Table 7).

 

Table 7. Contraindications for Niacin Therapy

Active gastritis or peptic ulcer disease

Impaired liver function (elevated transaminases 2-3X the upper limit or cholestasis)

Uncontrolled gout

Pregnancy

Lactation

Poorly controlled diabetes

Active bleeding

 

Summary

The enthusiasm for the use of niacin has greatly decreased with the failure of AIM-HIGH and HPS-2 Thrive to show a decrease in cardiovascular events when niacin was added to statin therapy. In the absence of definitive data showing benefits from niacin therapy when added to a statin it is hard to justify the use of this drug given the frequent side effects. The availability of ezetimibe, bempedoic acid, and PCSK9 inhibitors has greatly reduced the need to use niacin to lower LDL-C levels. Additionally, in patients with markedly elevated TG levels (>500mg/dL), niacin can be employed in combination with other drugs to reduce the risk of pancreatitis, but fibrates and omega-3-fatty acids are the initial choices.

 

OMEGA-3-FATTY ACIDS (FISH OIL) 

Introduction 

The lipid lowering effects of fish oil are mediated by two omega-3-fatty acids; eicosapentaenoic acid (C20:5n-3) (EPA) and docosahexaenoic acid (C22:6n-3) (DHA). There are four prescription products approved by the FDA which contain various amounts of EPA and DHA (Table 8). Lovaza (generic is available) and Omacor (Omacor is currently not available in the US but is available in other countries) contain a mixture of EPA and DHA fatty acid esters (ethyl esters), Vascepa contains only EPA fatty acid esters (ethyl esters), and Epanova contains a mixture of EPA and DHA free fatty acids (Epanova is currently not available in the US).

 

Table 8. Prescription Omega-3-fatty acid products (data from package inserts)

Generic Name

Omega-3-ethyl esters

Icosapent ethyl

Omega-3-carboxylic acid

Brand Name

Lovaza or Omacor

Vascepa

Epanova

EPA/capsule

0.465g

1.0g

See below

DHA/capsule

0.375g

---

See below

Daily Dose

4 capsules/day

4 capsules/day

2-4 capsules/day

1-gram capsules of Epanova contain at least 850mg of fish oil derived fatty acids including multiple omega-3-fatty acids with EPA and DHA being the most abundant

 

Fish oil is also sold as a food supplement. It should be recognized that dietary fish oil supplements are not approved by the FDA and quality control will not meet the same rigorous standards as prescription or over the counter drugs. The amount of EPA and DHA can vary greatly in these supplements and one needs to read the labels carefully, as products can contain less than 100mg of EPA/DHA per 1 gram capsule (81). It is helpful to have the patient bring their fish oil supplements to the clinic for verification of the actual amount of EPA and DHA in the product. Moreover, the amount of EPA and DHA indicated on the label may not be accurate (82). One needs to take a sufficient number of capsules to provide 2-4 grams of EPA/DHA per day to effectively lower plasma TG levels. Depending upon the fish oil supplement, the patient may be required to take a large number of capsules to obtain 2-4 grams of EPA/DHA per day. Furthermore, these supplements may contain other compounds in addition to omega-3-fatty acids, such as cholesterol, oxidized lipids, and saturated fatty acids. The major advantage of fish oil supplements is that they are much less expensive than prescription omega-3-fatty acid drugs. If one elects to use fish oil supplements, one should have the patient use a single brand to try to ensure as much consistency as possible.

 

Some omega-3 supplements contain alpha linolenic acid (C18:3n-3) (ALA), a plant omega-3-fatty acid rather than EPA/DHA. ALA can be converted to EPA and DHA but the conversion is limited and hence it is ineffective in lowering plasma TG levels or altering other lipid or lipoprotein levels (83).

 

Effect of Omega-3-Fatty Acids on Lipid and Lipoprotein Levels 

Table 9. Effect of Fish Oil Supplements on Lipids and Lipoproteins

Decreases TGs

No Change in Total Cholesterol

No Change in LDL-C; if TGs are very high may increase LDL-C

No Change in HDL-C

No Change in Lp(a); modest decrease in some studies

Shift from Small Dense LDL to Large Buoyant LDL

 

Several meta-analyses have examined the effect of fish oil supplements on lipid and lipoprotein levels. A meta-analysis by Eslick and colleagues of 47 studies with 16,511 participants found that fish oil supplements significantly decreased plasma TG levels by approximately 14% without resulting in clinically significant changes in total, LDL-C, or HDL-C levels (84). These authors also reported that the reduction in plasma TG levels was directly related to baseline plasma TG levels (i.e., the higher the baseline TG level the greater the reduction in TGs with fish oil). Additionally, the higher the dose of EPA/DHA, the greater the reduction in plasma TGs, with clinically significant reductions occurring with approximately 3.25 grams per day. A meta-analysis by Balk and colleagues of 21 studies also found minimal effects of fish oil supplements on total, LDL-C, and HDL-C levels (< 5% change) with significant decreases in plasma TG levels (most of the studies in this meta-analysis had at least a 15% decrease) (85). Similar to the meta-analysis by Eslick et al, the higher the baseline TG levels the greater the reduction in TG levels. 

 

Several meta-analyses have focused on specific patient populations. In a meta-analysis of patients with diabetes, twenty three trials with1075 participants were analyzed and similar to patients without diabetes the major effect of fish oil supplements was a reduction in plasma TG levels with no change in total cholesterol or HDL-C (86). A small increase in LDL-C was observed (4.3mg/dL). Of note, fish oil supplementation did not alter fasting glucose or glycated hemoglobin levels indicating that fish oil supplementation does not adversely affect glycemic control. In a meta-analysis that included patients with type 2 diabetes or impaired glucose metabolism a decrease in TGs was observed without significant changes in total cholesterol, LDL-C, or HDL-C levels (87). Again, no adverse effects on glycemic control were observed.

 

In patients with end stage renal disease several meta-analyses have consistently shown a decrease in plasma TGs with fish oil administration but the effect on total, LDL-C, and HDL-C has been variable (88-90). This variability was likely due to the small changes that were observed. In patients with nephrotic syndrome a study has shown a reduction in plasma TGs and an increase in LDL-C levels without a change in total cholesterol or HDL-C levels (91). In patients with non-alcoholic fatty liver disease, omega-3-fatty acids have also been shown to decrease plasma TG levels (92). Finally, In HIV infected subjects, fish oil supplementation was also effective in lowering plasma TG levels (93,94).

 

Thus, fish oil supplementation in a variety of different patient populations lowers plasma TG levels. In patients with elevated TG levels treated with 3-4 grams of EPA/DHA one can expect an approximate 15-25% decrease. Total plasma cholesterol levels are usually not altered by fish oil supplementation. The exceptions are patients with high chylomicron and/or VLDL levels where a substantial portion of the plasma cholesterol is carried on these TG rich lipoproteins. Fish oil supplementation will decrease the levels of these TG rich lipoproteins and thereby result in a decrease in total plasma cholesterol levels. LDL-C levels are not markedly affected by fish oil supplementation except in patients with very high TG levels (>500mg/dL) where increases in LDL-C levels have been observed (95-97). If there are sufficient reductions in plasma TG levels a shift from small dense LDL to large buoyant LDL may be observed (98,99). The effect of fish oil supplements on HDL-C levels is minimal except if the patient has very high TG levels where significant elevations (>10%) have been reported (95-97). Finally, some but not all studies have shown that the administration of fish oil modestly lowers Lp(a) levels (100-104)

 

During the development of pharmacological omega-3-fatty acid drugs for approval by the FDA, extensive clinical trials were carried out and will be reviewed below (Tables 10 and 11). It should be noted that these studies are not directly comparable as they studied different patient populations at different times.

 

EPA + DHA FATTY ACID ESTERS (LOVAZA)  

In patients with marked elevations in plasma TG levels (500-2000mg/dL) a 6 week trial of EPA + DHA esters resulted in a 31% decrease in plasma TGs, a 21% increase in LDL-C levels, and a 12% increase in HDL-C levels compared to the placebo group (97). In a 16 week trial TG concentrations were decreased by 45% and LDL-C and HDL-C were increased by 31% and 13%, respectively (95). Studies have also been carried out in patients with moderate hypertriglyceridemia (200-500mg/dL) who were on statin therapy (105). EPA + DHA esters resulted in a 23% decrease in plasma TGs and a 7% decrease in non-HDL-C levels, and a 4.6% increase in HDL-C levels (105).

 

EPA FATTY ACID ESTER ALONE (VASCEPA)  

In patients with marked elevations in plasma TGs (500-2000mg/dL), 4 grams of EPA ester alone significantly decreased TG levels by 33.1% and non-HDL-C levels by 17.7% (106). In contrast to EPA and DHA fatty acid esters, LDL-C and HDL-C levels were not significantly altered by EPA fatty acid esters alone (106). Studies have also been carried out in patients with moderate hypertriglyceridemia (200-500mg/dL) who were on statin therapy. EPA esters resulted in a 21.5% decrease in plasma TGs, 13.6% decrease in non-HDL-C, 6.2% decrease in LDL-C, and a 4.5% decrease in HDL-C levels (107)

 

EPA + DHA FATTY ACIDS (EPANOVA)  

In patients with marked elevations in plasma TGs (500-2000mg/dL), 4 grams of EPA + DHA fatty acids decreased plasma TGs by 31% and non-HDL-C by 9.6% and increased LDL-C by 19% and HDL-C by 5.8% (108). Studies have also been carried out in patients with moderate hypertriglyceridemia (200-500mg/dL) who were on statin therapy. EPA + DHA fatty acids resulted in a 20.6% decrease in plasma TGs, 6.9% decrease in non-HDL-C with no significant changes in LDL-C or HDL-C levels (96).

 

These studies demonstrate that in patients on statin therapy with moderate elevations in plasma TG levels the effects of these three pharmaceutical products on lipids and lipoprotein levels are similar (table 11). However, in patients with marked elevations in plasma TG levels EPA ethyl esters alone do not increase LDL-C levels whereas products containing EPA and DHA result in a substantial increase in LDL-C levels (table 10). It should also be noted that the ability of omega-3-fatty acids to reduce plasma TGs and increase HDL-C levels is enhanced if baseline TG levels are markedly elevated.

 

Table 10. Effect of Omega-3-Fatty Acids on Lipids and Lipoprotein in Patients with Marked Hypertriglyceridemia (500-2000mg/dL)

 

TGs

Non-HDL-C

LDL-C

HDL-C

EPA+DHA ethyl esters-

6 weeks

31% decrease

ND

21% increase

12% increase

EPA+DHA ethyl esters

12 weeks

45% decrease

ND

31% increase

13% increase

EPA ethyl esters

33% decrease

18% decrease

NS

NS

EPA+DHA fatty acids

31% decrease

9.6% decrease

19% increase

5.8% increase

ND- not determined; NS- no significant change

 

Table 11. Effect of Omega-3-Fatty Acids on Lipids and Lipoprotein in Patients with Moderate Hypertriglyceridemia (200-500mg/dL) on Statin Therapy

 

TGs

Non-HDL-C

LDL-C

HDL-C

EPA+DHA ethyl esters

23% decrease

7% decrease

__

4.6% increase

EPA ethyl esters

22% decrease

14% decrease

6.2% increase

4.5% decrease

EPA+DHA fatty acids

21% decrease

6.9% decrease

NS

NS

NS- no significant change

 

HEAD-TO-HEAD COMPARISONS  

A meta-analysis of six studies has compared the effect of EPA alone vs. DHA alone on plasma lipids and lipoproteins (109). Administration of DHA increased LDL-C by 4.6mg/dL compared to EPA (95% CI 2.2- 7.1). In contrast, DHA reduced plasma TG levels to a greater extent than EPA (6.1mg/dL; 95% CI 2.5- 9.8). Finally, DHA increased HDL-C levels more than EPA (3.7mg/dL; 95% CI: 2.4- 5.1). Whether these very modest differences are clinically significant is unknown.

 

Tatsuno et al compared the effect of DHA + EPA ethyl esters vs. EPA ethyl esters alone on lipid and lipoprotein levels in patients with mean baseline plasma TG of 250-270mg/dL and mean LDL-C levels of 125-135mg/dL (110,111). These authors found that at equivalent doses there were no differences in effect on plasma TG, LDL-C, or HDL-C levels between DHA + EPA ethyl ester or EPA ethyl ester treatment.

 

These head-to-head studies indicate that in subjects with moderate hypertriglyceridemia the effects of EPA and DHA on lipid and lipoprotein levels are similar. Perhaps if the baseline TGs were markedly elevated differences in response might have been observed.

 

IN COMBINATION WITH FENOFIBRATE  

In patients with marked hypertriglyceridemia a single drug is often not sufficient to lower TGs into the desired range. In patients with TG levels > 500mg/dL the combination of fenofibrate 130mg per day and 4 grams of Lovaza reduced TG levels to a greater extent than monotherapy with fenofibrate alone (7% decrease; P = 0.059) (112). Not unexpectedly, LDL-C levels were increased to a greater extent with combination therapy (9% increase; p= 0.03). When subjects who had received 8 weeks of fenofibrate monotherapy were treated with Lovaza during the 8-week, open-label extension study, TG levels were reduced by an additional 17.5% (P = 0.003). These results indicate that the addition of omega-3-fatty acids to fenofibrate will further decrease TG levels.

 

IN COMBINATION WITH NIACIN

Sixty patients with the metabolic syndrome were randomized to 16 weeks of treatment with placebo, Lovaza (4 g/day), extended release niacin (2 g/day), or both drugs in combination (18). In the niacin group TGs decreased by 30%, in the omega-3-fatty acids group by 22%, and in the combination group by 42% compared to the placebo group. Of note, the beneficial effects of niacin on decreasing LDL and non-HDL-C were blunted by omega-3-fatty acids. These results show that the combination of niacin and fish oil will lower TG levels more than either drug individually but at the expense of diminishing the effect of niacin on LDL and non-HDL-C levels.    

 

Mechanism Accounting for the Omega-3-Fatty Acid Induced Lipid Effects

As noted above, the major effect of fish oil is to lower plasma TG levels. The predominant cause of the reduction in plasma TG levels is a decrease in the hepatic production and secretion of TG rich lipoproteins (113-116). In cultured hepatocytes, omega-3-fatty acids inhibit the assembly and secretion of VLDL and apolipoprotein B 100 (114,116-118).  The incorporation of TGs into VLDL is a key regulatory step in determining the rate of formation and secretion of VLDL and there are a number of mechanisms by which omega-3 fatty acids reduce the level of hepatic TGs available for VLDL formation (113,114,116). Studies in animal models have demonstrated that omega-3-fatty acids inhibit fatty acid synthesis and stimulate fatty acid oxidation in the liver, which would reduce the availability of fatty acids for TG synthesis (113-116). The increase in fatty acid oxidation is due to omega-3-fatty acids activating PPAR alpha, which stimulates fatty acid oxidation in the liver and other tissues (113,115,116,119). The decrease in fatty acid synthesis is due to omega-3-fatty acids inhibiting the expression of SREBP-1c, a key transcription factor that regulates fatty acid synthesis (115,116,119). In addition, omega-3-fatty acids decrease TG synthesis, which may be due to the decreased availability of fatty acids and an inhibition of the activity of DGAT, a key enzyme required for TG synthesis (113,115,116). Finally, omega-3-fatty acids also decrease the flux of free fatty acids from adipose tissue to the liver, which will lead to a decreased quantity of fatty acids available for TG synthesis in the liver (113). This decrease in flux of free fatty acids is due to omega-3-fatty acids reducing hormone sensitive lipase mediated intracellular lipolysis in adipose tissue (113). It is likely that these and perhaps other factors will lead to the decreased availability of TGs resulting in a reduction in VLDL formation and secretion. In addition, the peroxidation of omega-3-fatty acids may stimulate the degradation of apolipoprotein B-100, which would provide another pathway that could contribute to a decrease in VLDL formation and secretion (116).

 

While not the primary mechanism for the decrease in plasma TGs, studies have shown that omega-3-fatty acids may increase the clearance of TG rich lipoproteins (113,120). Post heparin lipoprotein lipase activity is not increased by omega-3-fatty acid administration but the lipolytic activity of non-stimulated plasma is enhanced (113,120).  Additionally, apolipoprotein C-III levels are decreased with omega-3-fatty acid administration which could also contribute to an increase in the clearance of TG rich lipoproteins (121-124).

 

The increase in LDL-C levels that occurs in patients with marked hypertriglyceridemia treated with omega-3-fatty acids is thought to be due to the enhanced conversion of VLDL to LDL (115). The increase in HDL-C observed in studies in patients with very high TG levels may be due to the increased clearance of TG rich lipoproteins.    

 

Pharmacokinetics and Drug Interactions

Omega-3 ethyl esters and fatty acids are absorbed by the GI tract similar to other dietary lipids. It is worth noting that omega-3-free fatty acids (Epanova) are directly absorbed by the small intestine and are not dependent on pancreatic lipases for absorption. Thus, absorption of omega-3-fatty acids is not decreased in patients with pancreatic insufficiency and therefore may be preferred in patients with pancreatic disease. Additionally, the bioavailability of omega-3-fatty acids with a low fat diet was greater than omega-3-ethyl esters while there was little difference between these different formulations with a high fat diet (125,126).

 

Drug interactions have not been seen with omega-3-fatty acids (Package Inserts for Lovaza, Vascepa, and Epanova).

 

Effect of Low Dose Omega-3-Fatty Acids on Cardiovascular Outcomes

Initial studies of the effect of low dose fish oil administration on cardiovascular outcomes were favorable, demonstrating a reduction in events including all-cause mortality. However, more recent studies have failed to confirm these favorable results. In these more recent studies the use of other drugs, such as statins, that reduce cardiovascular disease were more intensively utilized. The outcomes studies that will be described below were carried out with doses of EPA and DHA that are lower than the doses used to lower plasma TGs. We will limit our discussion to the administration of fish oil as a drug and not discuss diet studies, such as DART, which had patients increase fatty fish intake (127,128).

 

  • GISSI-Prevenzione trial was a randomized trial of 850-882mg of EPA and DHA ethyl esters per day in 11,323 participants with a recent myocardial infarction (< 3 months) for 3.5 years (129). The primary endpoint was death, non-fatal myocardial infarction, and stroke. No change in total cholesterol, LDL-C, or HDL-C was observed but plasma TG levels were decreased by 5%. Patients treated with EPA/DHA had a significant decreased risk of major cardiovascular events (RR 0.90), cardiac death (RR 0.78), and sudden death (RR 0.74). The decrease in sudden death occurred very quickly and was noted as early as 4 months after initiation of therapy. Interestingly, non-fatal cardiovascular events were not affected by EPA/DHA treatment (RR 0.98). The decrease in total mortality was driven by a reduction in sudden death suggesting an anti-arrhythmic effect of EPA/DHA.

 

  • GISSI-Heart Failure (GISSI-HF) trial was a randomized, double-blind, placebo-controlled trial in patients with chronic heart failure who were randomly assigned to 850-882mg of EPA and DHA ethyl esters per day (n=3,494) or placebo (n=3,481) (130). Patients were followed for a median of 3.9 years. Primary endpoints were time to death, and time to death or admission to the hospital for cardiovascular reasons. Omega-3-fatty acid treatment at these low doses resulted in a slight decrease in plasma TG levels with no change in total, LDL-C or HDL-C levels. In the omega-3-fatty acid group 27% patients died from any cause vs. 29% in the placebo group (HR 0.91; p=0.041). In the omega-3-fatty acid group 57% of patients died or were admitted to hospital for cardiovascular reasons vs. 59% in the placebo group (HR 0.92; p=0.009). No significant differences were observed in fatal or non-fatal myocardial infarctions or strokes. In this trial, similar to the GISSI-Prevenzione trial, the benefit was primarily due to a reduction in arrhythmic events and little benefit on atherothrombotic events was noted.

 

  • OMEGA was a randomized, placebo-controlled, double-blind, trial in 3,851 survivors of an acute myocardial infarction (131). Patients were randomized 3 to 14 days after an acute myocardial infarction to omega-3-acid ethyl esters, 1 gram/day (460mg EPA and 380mg DHA) or placebo capsules containing 1 gram of olive oil and followed for one year. The primary endpoint was rate of sudden death and secondary end points were total mortality and nonfatal clinical events. No significant differences were seen in the primary or secondary endpoints.

 

  • Alpha Omega was a double-blind, placebo-controlled trial in 4,837 patients between 60 and 80 years of age (78% men) who had had a myocardial infarction (132). Patients were randomized to receive for 40 months one of four trial margarines: a margarine supplemented with a combination of EPA and DHA (with a targeted additional daily intake of 400mg of EPA-DHA; actual intake 226mg EPA and 150mg DHA), a margarine supplemented with alpha-linolenic acid (ALA) (with a targeted additional daily intake of 2g of ALA), a margarine supplemented with EPA-DHA and ALA, or a placebo margarine. The primary end point was the rate of major cardiovascular events, which comprised fatal and nonfatal cardiovascular events and cardiac interventions. Neither low dose EPA-DHA, ALA, nor the combination of EPA/DHA and ALA significantly reduced the rate of major cardiovascular events or cardiac interventions.

 

  • FOL.OM3 Study was a double blind, randomized, placebo-controlled trial in 2,501 patients with a history of a myocardial infarction, unstable angina, or ischemic stroke in the past 12 months (133). Patients were randomized to a daily dietary supplement containing 5-methyltetrahydrofolate (560μg), vitamin B-6 (3mg), and vitamin B-12 (20μg) or placebo; and a dietary supplement containing omega 3 fatty acids (600mg of EPA and DHA) or placebo. The median duration of treatment was 4.7 years. The primary outcome was a composite of non-fatal myocardial infarction, stroke, or death from cardiovascular disease. Treatment with B vitamins or omega 3 fatty acids had no significant effect on major vascular events.

 

  • Origin was a double-blind study in 12,536 patients at high risk for cardiovascular disease who had impaired fasting glucose, impaired glucose tolerance, or diabetes (134). Patients were randomized to receive a 1-gram capsule containing at least 900mg of ethyl esters of omega-3 fatty acids (EPA 465mg and DHA 375mg) or placebo for approximately 6 years. The primary outcome was death from cardiovascular causes. TG levels were reduced by 14.5mg/dL in the group receiving omega-3-fatty acids compared to the placebo group (P<0.001), without a significant effect on other lipids. The incidence of the primary outcome was not significantly decreased among patients receiving omega-3-fatty acids as compared with those receiving placebo. The use of omega-3-fatty acids also had no significant effect on the rates of major vascular events, death from any cause, or death from arrhythmia.

 

  • Risk and Prevention Study was a double-blind, placebo-controlled trial in 12,513 men and women with multiple cardiovascular risk factors or atherosclerotic vascular disease but not myocardial infarctions (135). Patients were randomly assigned to 1-gram daily omega-3 fatty acids (EPA and DHA content not <85 %,) or placebo (olive oil) for 5 years. The initially specified primary end point was the rate of death, nonfatal myocardial infarction, and nonfatal stroke. At 1 year, after the event rate was found to be lower than anticipated, the primary end point was revised as time to death from cardiovascular causes or admission to the hospital for cardiovascular causes. Plasma TG levels decreased slightly more in the omega−3-fatty acid group than in those who received placebo (−28.2±1.3mg/dL vs. −20.1±1.3mg/dL; P<0.001). Total, LDL, and HDL-C levels were similar in the omega-3-fatty acid and placebo groups. No significant differences were observed between the omega-3-fatty acid group and placebo group for the primary endpoint or any of the secondary endpoints.

 

  • A Study of Cardiovascular Events in Diabetes (ASCEND) was a randomized, placebo controlled, double blind trial of 1-gram omega-3-fattys acids (400mg EPA and 300mg DHA ethyl esters) vs. olive oil placebo in 15,480 patients with diabetes without a history of cardiovascular disease (primary prevention trial) (136). The primary end point was serious vascular events (non-fatal myocardial infarction, non-fatal stroke, transient ischemic attack, or vascular death). Total cholesterol, HDL-C, and non-HDL-C levels were not significantly altered by omega-3-fatty acid treatment (changes in TG levels were not reported). After a mean follow-up of 7.4 years the composite outcome of a serious vascular event or revascularization occurred in 882 patients (11.4%) on omega-3-fatty acids and 887 patients (11.5%) on placebo (rate ratio, 1.00; 95% CI, 0.91 to 1.09). Serious adverse events were similar in placebo and omega-3-fatty acid treated groups.

 

  • The Vitamin D and Omega-3 Trial (Vital) was a randomized, double blind, placebo-controlled trial of 1-gram omega-3 fatty acids (465mg EPA and 375mg DHA ethyl esters) vs. placebo in 25,875 men (>50 years of age) and women (>55 years of age) that were not selected on the basis of an elevated risk (primary prevention) (137). Changes in lipid levels were not reported. The primary end point was major cardiovascular events, a composite of myocardial infarction, stroke, or death from cardiovascular causes. After a median follow-up of 5.3 years, major cardiovascular events occurred in 386 participants in the omega-3 fatty acid group and in 419 in the placebo group (hazard ratio, 0.92; 95% confidence interval (CI), 0.80 to 1.06; P=0.24). Serious adverse events were similar in placebo and omega-3-fatty acid treated groups.

 

  • Summary: The above results indicate that low dose fish oil (doses that do not greatly affect lipid levels) does not consistently reduce the risk of cardiovascular disease.

 

Effect of High Dose Omega-3-Fatty Acids on Cardiovascular Outcomes

  • Japan EPA Lipid Intervention Study (JELIS) was an open label study without a placebo in patients with total cholesterol levels > 254mg/dL with (n= 3,664) or without cardiovascular disease (n=14,981) who were randomly assigned to be treated with 1800 mg of EPA (Vascepa) + statin (n=9,326) or statin alone (n= 9,319) with a 5-year follow-up (130). The primary endpoint was any major coronary event, including sudden cardiac death, fatal and non-fatal myocardial infarction, and other non-fatal events including unstable angina pectoris, angioplasty, stenting, or coronary artery bypass grafting. Total, LDL-C, and HDL-C levels were similar in the two groups but plasma TGs were modestly decreased in the EPA treated group (5% decrease in EPA group compared to controls; p = 0.0001). In the EPA group the primary endpoint occurred in 2.8% of the patients vs. 3.5% of the patients in the statin alone group (19% decrease; p = 0.011). Unstable angina and non-fatal coronary events were also significantly reduced in the EPA group but in this study sudden cardiac death and coronary death did not differ between groups. Unstable angina was the main component contributing to the primary endpoint and this is a more subjective endpoint than other endpoints such as a myocardial infarction, stroke, or cardiovascular death. In patients with high TG levels (>150 mg/dL) and low HDL-C levels (<40 mg/dL EPA treatment decreased the risk of CAD by 53% (HR: 0.47; P=0.043) (138). A subjective endpoint has the potential to be an unreliable endpoint in an open label study and is a limitation of the JELIS Study.

 

  • The Reduction of Cardiovascular Events with EPA – Intervention Trial (REDUCE-IT) was a randomized, double blind trial of 2 grams twice per day of EPA ethyl ester (icosapent ethyl) (Vascepa) vs. mineral oil placebo in 8,179 patients with hypertriglyceridemia (135mg/dL to 499mg/dL) and established cardiovascular disease or high cardiovascular disease risk (diabetes plus one risk factor) who were on stable statin therapy (139). The primary end point was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, or unstable angina. The key secondary end point was a composite of cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke. At baseline, the median LDL-C level was 75.0 mg/dL, HDL-C level was 40.0 mg/dL, and TG level was 216.0 mg/dL. The median change in TG level from baseline to 1 year was a decrease of 18.3% (−39.0 mg/dL) in the EPA group and an increase of 2.2% (4.5 mg/dL) in the placebo group. After a median of 4.9 years the primary endpoint occurred in 17.2% of the patients in the EPA group vs. 22.0% of the patients in the placebo group (hazard ratio, 0.75; P<0.001), indicating a 25% decrease in events. The number needed to treat to avoid one primary end-point event was 21. The reduction in cardiovascular events was noted after approximately 2 years of EPA treatment. Additionally, the rate of cardiovascular death was decreased by 20% in the EPA group (4.3% vs. 5.2%; hazard ratio, 0.80; P=0.03). The cardiovascular benefits of EPA were similar across baseline levels of TGs (<150, ≥150 to <200, and ≥200 mg per deciliter). Moreover, the cardiovascular benefits of EPA appeared to occur irrespective of the attained TG level at 1 year (≥150 or <150 mg/dL), suggesting that the cardiovascular risk reduction was not associated with attainment of a normal TG level. Additionally, icosapent ethyl reduced cardiovascular events regardless of baseline LDL-C levels including in patients with LDL-C levels < 55mg/dL (140). An increase in hospitalization for atrial fibrillation or flutter (3.1% vs. 2.1%, P=0.004) occurred in the EPA group. In addition, serious bleeding events occurred in 2.7% of the patients in the EPA group and in 2.1% in the placebo group (P=0.06). There were no fatal bleeding events in either group and the rates of hemorrhagic stroke, serious central nervous system bleeding, and serious gastrointestinal bleeding were not significantly higher in the EPA group than in the placebo group.

 

It should be noted that in this trial mineral oil was used as the placebo. In the placebo group the LDL-C, non-HDL-C, and CRP levels were increased compared to the EPA group during the trial (LDL-C 96mg/dL vs 85mg/dL; non-HDL-C 130mg/dL vs. 113mg/dL; hsCRP 2.8mg/L vs. 1.8mg/L). Increases in other biomarkers of atherosclerosis (oxidized LDL-C, IL-6, IL-1 beta, and lipoprotein-associated phospholipase A2) also occurred in the mineral oil group (141). The impact of these adverse changes on clinical outcomes is uncertain and whether they contributed to the apparent beneficial effects observed in the individuals treated with EPA is unknown.

 

  • The STRENGTH Trial was a double-blind, randomized, trial comparing 4 grams per day of a carboxylic acid formulation of omega-3 fatty acids (EPA and DHA; Epanova) (n = 6,539)) vs. corn oil placebo (n = 6539) in statin-treated participants with high cardiovascular risk, hypertriglyceridemia, and low levels of HDL-C (142). Approximately 55% of patients had established cardiovascular disease and approximately 70% had diabetes. Median LDL-C level was 75.0 mg/dL, median TG level was 240 mg/dL, and median HDL-C level was 36 mg/dL. There were minimal differences in the change in LDL-C and HDL-C levels between the treated and placebo groups after treatment for 12 months but as expected there was a greater reduction in TG levels in the group treated with omega-3-fatty acids (−19.0% vs −0.9%). The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, coronary revascularization, or unstable angina requiring hospitalization which occurred in 12.0% of individuals treated with omega-3 CA vs. 12.2% treated with corn oil (hazard ratio, 0.99; P = .84). There were no significant differences between the treatment groups with regards to the risk of the individual components of the primary end point over the 3-4 years of the study. Similar to the REDUCE-IT trial atrial fibrillation was increased with EPA + DHA treatment (HR 1.69 CI 1.29- 2.21). Thus, in contrast to the JELIS and REDUCE-IT trials the STRENGTH trial did not demonstrate a benefit of treatment with a mixture of omega-3-fatty acids (EPA + DHA).

 

  • The OMEMI trial was a randomized trial of 1.8 grams per day of omega-3-fatty acids (930 mg EPA and 660 mg DHA) (n= 505) vs. corn oil placebo (509) in patients aged 70 to 82 years with a recent myocardial infarction (2-8 weeks) (143). Baseline LDL-C was approximately 76mg/dL, HDL-C was 49mg/dL, and TGs 110mg/dL. The primary endpoint was a composite of nonfatal myocardial infarction, unscheduled revascularization, stroke, all-cause death, and heart failure hospitalization after 2 years of follow-up. The primary endpoint occurred in 21.4% of patients on omega-3-fatty acids vs. 20.0% on placebo (hazard ratio, 1.08; P=0.60). TGs levels decreased 8.1% in the omega-3-fatty acid group and increased 5.1% in the placebo group (between group difference 13.2%; P<0.001) while changes in LDL-C were minimal in both groups. Thus, similar to the STRENGTH trial no benefits on cardiovascular disease were observed with EPA + DHA treatment. An increase in atrial fibrillation was observed in the EPA + DHA treatment group (144).

 

  • The RESPECT-EPA trial was a randomized, open-label, blinded end-point study of 8 grams icosapent ethyl(EPA) per day or usual care in patients with stable coronary artery disease on statin therapy (145) . 3884 patients were enrolled and followed for 5 years. Baseline LDL-C levels were 80mg/dL, TG levels approximately 120mg/dL, and HDL-C levels 49mg/dL. The primary end point (cardiovascular death, nonfatal myocardial infarction, nonfatal ischemic stroke, unstable angina pectoris, and coronary revascularization) occurred in 9.1% of the patients in the EPA group and 12.6% of the patients in the control group (HR 0.79; 95% CI 0.62-1.00; P=0.055). Of the primary endpoints only coronary revascularization was significantly reduced in the EPA group (4.2% versus 6.7%; HR 0.68; 95% CI 0.48–0.96); hard outcomes did not differ between groups. While this trial did not result in a statistically significant decrease in cardiovascular events it provides suggestive evidence that icosapent ethyl reduces cardiovascular events. As seen in other trials new-onset atrial fibrillation was significantly higher in the EPA group (3.1% versus 1.6%; P=0.017).

 

Summary of Omega-3-Fatty Acid Clinical Outcome Trials

  • Low dose omega-3-fatty acids are not effective at decreasing cardiovascular outcomes.
  • High dose EPA (JELIS, REDUCE-IT, and RESPECT-EPA) reduced cardiovascular outcomes while high dose EPA+DHA (STENGTH and OMEMI) did not decrease cardiovascular outcomes.
  • The decrease in TG levels is not a major contributor to the beneficial effect of high dose EPA as the combination of high EPA+DHA lowers TG levels to the same degree as EPA alone without benefit. Additionally, the JELIS trial and RESPECT-EPA only lowered TG levels by 5-7% but nevertheless reduced cardiovascular events. It is likely that the beneficial effects of EPA seen in the JELIS, REDUCE-IT, and RESPECT-EPA trials are multifactorial with TG lowering making only a small contribution to the decrease in cardiovascular disease. Other actions of EPA, such as decreasing platelet function, anti-inflammation, decreasing lipid oxidation, stabilizing membranes, etc. could account for or contribute to the reduction in cardiovascular events (146). A large meta-analysis, excluding the REDUCE-IT trial, demonstrated that a 40mg/dL decrease in triglyceride levels resulted in a relative risk reduction of only 0.96 (4% decrease) indicating that one needs to markedly lower triglyceride levels to reduce cardiovascular events (147).
  • Whether EPA has special properties that resulted in the reduction in cardiovascular events in the REDUCE-IT trial or there were flaws in the trial design (the use of mineral oil as the placebo) is uncertain and debated. It should be noted that in the REDUCE-IT trial LDL-C and non-HDL-C levels were increased by approximately 10% in the mineral oil placebo group (139). Additionally, Apo B levels were increased by 7% (6mg/dL) by mineral oil (139). Finally, an increase in hsCRP (20-30%) and other biomarkers of atherosclerosis (oxidized LDL-C, IL-6, IL-1 beta, and lipoprotein-associated phospholipase A2) were noted in the mineral oil group (139,141). In the STRENGTH trial there were no differences in LDL-C, Non-HDL-C, HDL-C, Apo B, or hsCRP levels between the treated vs. placebo groups (142). Whether EPA has special properties compared to DHA leading to a reduction in cardiovascular events or the mineral oil placebo resulted in adverse changes increasing ASCVD in the placebo resulting in an artifactual decrease in the EPA group is debated (148,149). Ideally, another large randomized cardiovascular trial with EPA ethyl ester (icosapent ethyl) (Vascepa) using a placebo other than mineral oil would help resolve this controversy. In the meantime, clinicians will need to use their clinical judgement on whether to treat patients with modest elevations in TG levels with EPA (icosapent ethyl; Vascepa) balancing the potential benefits of treatment vs. the potential side effects.
  • The JELIS and RESPECT-EPA trials were carried out in Japan and did not include a placebo control. Whether the results seen in these trials would occur in other patient populations is unknown. Additionally, the absence of a placebo group is not ideal.

 

Side Effects

Gastrointestinal side effects such as diarrhea, nausea, dyspepsia, abdominal discomfort, and eructation have been observed with fish oil therapy (Package Inserts for Lovaza, Vascepa, and Epanova).

 

At very high doses, omega-3-fatty acids can inhibit platelets and prolong bleeding time. However, at the recommended doses this has not been a major clinical problem but nevertheless when patients are on anti-platelet drugs one should be alert for the possibility of bleeding problems (Package Inserts for Lovaza, Vascepa, and Epanova). Increased bleeding was noted in the REDUCE-IT trial in the patients treated with icosapent ethyl 4 grams/day (EPA) (see above discussion of this trial). A recent review found no evidence for discontinuing the use of omega-3 fatty acid treatment before invasive procedures or when given in combination with other agents that affect bleeding (150).

 

As noted above an increase in atrial fibrillation was observed in the REDUCE-IT trial and RESPECT-EPA in the patients treated with icosapent ethyl (EPA) and in the STRENGTH trial and the OMEMI trial in the patients treated with EPA + DHA.

 

Contraindications 

There are no contraindications to the use of omega-3-fatty acids. Lovaza, Omacor, and Vascepa are pregnancy category C drugs and they should only be used if the benefits to the mother outweigh the potential risks to the fetus.

 

Conclusions 

Omega-3-fatty acids are effective drugs in reducing TG levels with few significant side effects (atrial fibrillation and bleeding), drug interactions, or contraindications.  High dose EPA (4 grams/day) reduced cardiovascular disease events in the REDUCE-IT trial and a moderate dose of EPA (1.8 grams/day) reduced cardiovascular events in the JELIS and RESPECT-EPA trials but trials of EPA and DHA have not produced cardiovascular benefits. The basis for these differences is debated and discussed in the “Summary of Omega-3-Fatty Acid Clinical Outcome Trials” section above. Finally, omega-3-fatty acids are effective in lowering TGs in patients with marked hypertriglyceridemia and while not proven, it will likely reduce the risk of development of pancreatitis.

 

FIBRATES

Introduction 

The fibrate drug class includes clofibrate, gemfibrozil, fenofibrate, bezafibrate, ciprofibrate, and pemafibrate. Clofibrate was developed in the 1960s and was the first member of this class. Clofibrate is no longer available because of an increased risk of adverse effects. Gemfibrozil and fenofibrate are available in the United States while gemfibrozil, fenofibrate, bezafibrate, and ciprofibrate are available in Europe. Pemafibrate is available in Japan. All of the fibrates work via activation of the nuclear hormone receptor PPAR alpha.

 

Effect of Fibrates on Lipid and Lipoprotein Levels

Table 12. Effect of Fibrates on Lipids and Lipoproteins

Decreases TG

Increases HDL-C

Decreases LDL-C; if TGs Very High can Increase LDL-C

Decreases Non-HDL-C

Decreases Apolipoprotein B

Decreases LDL Particle Number

Shift Small Dense LDL to Large Buoyant LDL

No Effect on Lp(a)

 

Fibrates reduce fasting TG levels by 25-50% (151-153). The magnitude of the reduction in TGs is dependent on the baseline TG levels. Patients with marked elevations in TGs have a greater reduction in TG levels (151,153,154). In addition, fibrates increase HDL-C levels by 5-20% (152,153). The increase in HDL-C levels is more robust if the TG levels are elevated and/or if the HDL-C levels are low (154). The effect on LDL-C is more variable (153). If the TG levels are very high (>400-500mg/dL), fibrate therapy may result in an increase in LDL-C levels whereas if TGs are not elevated fibrates decrease LDL-C by 10-30% (151). Given the decrease in plasma TGs and LDL-C levels, fibrates also reduce apolipoprotein B, LDL particle number, and non-HDL-C levels (153). Depending upon the TG level there may be a shift from small dense LDL towards large LDL particles (153). Fibrates do not have any major or consistent effects on Lp(a) levels (155). Table 13 below shows the effect of fenofibrate on lipid and lipoprotein levels in patients with different lipid profiles and illustrates some of the principles outlined above.

 

Table 13. Effect of Fenofibrate on Lipid and Lipoprotein Levels

 

TGs

LDL-C

HDL-C

Elevated TG Levels

 

 

 

Baseline Levels

~404mg/dL

~125mg/dL

~35mg/dL

Change with Fenofibrate

45% Decrease

2.5% Increase

16% Increase

Elevated LDL-C and TG Levels

 

 

 

Baseline Levels

232mg/dL

220mg/dL

46.7mg/dL

Change with Fenofibrate

37% Decrease

13% Decrease

12% Increase

Elevated LDL-C and Normal TG Levels

 

 

 

Baseline Levels

102mg/dL

228mg/dL

58.1mg/dL

Change with Fenofibrate

35% Decrease

29% Decrease

7% Increase

The values are adjusted for changes in the placebo group. Data modified from Tricor Package Insert.

 

In large, randomized, fibrate outcome trials similar changes in lipid and lipoprotein levels were noted (Table 14). These trials are discussed in detail in the effect of fibrates on cardiovascular outcomes section presented below.

 

Table 14. Effect of Fibrates on Lipid and Lipoprotein Levels in Large Outcome Studies*

 

TGs

LDL-C

HDL-C

Helsinki Heart Study- Gemfibrozil (156)

35% Decrease

11% Decrease

10% Increase

VA-HIT Study

Gemfibrozil (157)

31% Decrease

No Change

6% Increase

BIP Study

Bezafibrate (158)

21% Decrease

7% Decrease

18% Increase

Leader Study

Bezafibrate (159)

23% Decrease

8% Decrease

8% Increase

Field Study

Fenofibrate (160)

29% Decrease

12% Decrease

5% Increase

*The values are adjusted for changes in the placebo group.

 

The different fibrates in general cause similar changes in lipid and lipoprotein levels. There are only a few comparative trials of fibrates comparing their effects on lipid and lipoprotein levels and these trials have been very small. Comparisons of ciprofibrate and gemfibrozil have not shown any major differences between these two fibrates (161,162). In contrast, two very small trials have compared gemfibrozil vs. fenofibrate and reported that fenofibrate was more efficacious in lowering LDL levels than gemfibrozil (163,164).

 

In very rare instances fibrates can cause a paradoxical marked decrease in HDL-C levels (165-168). This rare paradoxical decrease in HDL-C typically occurs when fibrates are used in combination with a thiazolidinedione (rosiglitazone and pioglitazone) but can occur when fibrates are used alone or with ezetimibe (165-169). The decrease in HDL-C can be extreme with decreases of 50% to 88% reported and recovery to normal can take weeks after the fibrate is discontinued (166). The mechanism for this paradoxical effect is unknown.

 

Effect of Fibrates in Combination with Other Lipid Lowering Drugs on Lipid and Lipoprotein Levels 

STATINS

Statins are the primary drugs used to treat most patients with dyslipidemia. Statins are very effective in lowering LDL-C levels but have only modest effects on TG and HDL-C levels. Therefore, it is appealing to add a fibrate to patients who on statin therapy have LDL-C levels at goal but still have elevated non-HDL-C and TG levels and decreased HDL-C levels. Therefore, there have been numerous studies examining the effect of the combination of statins and fibrates on lipid and lipoprotein levels. An example is the Safari Trial which compared the effect of simvastatin only (n=207) vs. simvastatin + fenofibrate (n=411) in patients with combined hyperlipidemia (170). The results of this trial are shown in table 15. As anticipated, adding a fibrate results in a further lowering of LDL-C, non-HDL-C, and TG levels with a further increase in HDL-C.

 

Table 15. Effect of Simvastatin Alone vs. Simvastatin + Fenofibrate on Lipid and Lipoprotein Levels

 

LDL

TG

Non-HDLC

HDL

Simvastatin

-26%

-20%

-26%

+10%

Simvastatin + Fenofibrate

-31%

-43%

-35%

+19%

 

A meta-analysis of 9 studies with over 1,200 participants compared the effect of statin alone vs. statin + fibrate on lipid and lipoprotein levels (171). The combination of statins and fibrates provided significantly greater reductions in total cholesterol, LDL-C, and TGs, and a significantly greater increase in HDL-C than treatment with statins alone. A larger meta-analysis of 13 randomized controlled trials, involving 7,712 patients, similarly demonstrated significant decreases in LDL-C (8.8mg/dL), TGs (58mg/dL), and total cholesterol (11.2mg/dL), and increases in HDL-C (4.65mg/dL) in patients receiving the combination of statins + fibrates compared with statin therapy alone (172). The combination of statins + fibrates also result in a shift of LDL particles from small dense particles to large buoyant particles whereas no change in LDL particle size was observed with statin monotherapy (173).  

 

EZETIMIBE

In patients unable to tolerate statin therapy one needs to use other drugs to treat dyslipidemia. In a study comparing the effect of ezetimibe 10mg alone, fenofibrate 145mg alone, or ezetimibe + fenofibrate the combination had a better effect on the lipid profile resulting in a greater decrease in LDL-C levels and increase in HDL-C levels than either drug alone (Table 16) (174).

 

Table 16. Effect of the Combination of Ezetimibe and Fenofibrate on Lipid and Lipoprotein Levels

 

LDL-C

HDL-C

TG

Ezetimibe

23% Decrease

2.2% Increase

10% Decrease

Fenofibrate

22% Decrease

7.5% Increase

38% Decrease

Ezetimibe + Fenofibrate

34% Decrease

11.5% Increase

38% Decrease

 

Similar results were observed in another randomized trial of ezetimibe 10mg and fenofibrate 160mg (175). Moreover, both fibrate therapy and the combination of ezetimibe and fenofibrate results in a shift of LDL particles from small dense LDL particles to large buoyant particles (175).

 

EZETIMIBE + STATIN

A large, randomized trial has compared the effect of ezetimibe /simvastatin 10mg/20mg, fenofibrate 160mg, or ezetimibe/simvastatin + fenofibrate on lipid and lipoprotein levels. As one would expect triple drug therapy had a better effect on the lipid profile (Table 17) (176). While ezetimibe/simvastatin was very effective in lowering LDL-C levels and fenofibrate was very effective in lowering TGs and raising HDL-C levels the combination resulted in more favorable changes in TGs. In a similar study the addition of fenofibrate 135mg to atorvastatin 40 mg + ezetimibe 10 mg resulted in a greater reduction in TGs (-57% vs. -40%; p<0.001) and a greater increase in HDL (13% vs. 4.2%; p<0.001) than placebo (177).  Fibrate therapy and ezetimibe/simvastatin + fenofibrate also resulted in a shift of LDL particles from small dense LDL particles to large buoyant particles (176).

 

Table 17. Effect of the Combination of Ezetimibe/Simvastatin and Fenofibrate on Lipid and Lipoprotein Levels

 

LDL-C

HDL-C

TG

Placebo

-3.5%

+1.1%

-3.1%

Ezetimibe/Simvastatin

-47%

+9.3%

-29%

Fenofibrate

-16%

+18.2%

-41%

Eze/Simva + Fenofibrate

-46%

+18.7%

-50%

 

BILE ACID SEQUESTRANT  

Studies have also examined the effect of fibrates in combination with bile acid sequestrants. Participants receiving fenofibrate 160 mg/day were randomized to receive either colesevelam HCl 3.75 g/day or placebo (178). No significant differences in TG or HDL-C levels were observed between the two groups. However, LDL-C levels decreased in the fenofibrate + colesevelam group compared to the fenofibrate + placebo group (12.4% greater decrease: p<0.001). A study of the combination of fenofibrate and colestipol also demonstrated a more marked decrease in LDL-C with that combination compared to either drug alone (colestipol -18%; fenofibrate -17%, colestipol + fenofibrate 37%) (179). The combination of both drugs did not blunt the effects of fenofibrate on VLDL and HDL. Other studies of the combination of a fibrate with a bile acid sequestrant have also demonstrated an enhanced effect in lowering LDL-C levels (180-182).

 

NIACIN

Surprisingly there are few large, randomized trials examining the effect of combination therapy with niacin + fibrate vs. monotherapy. One very small trial reported that while both niacin monotherapy and bezafibrate monotherapy were effective in lowering serum TGs there was no added benefit of combination therapy in reducing serum TG level although a large variance may have reduced the ability to detect statistically significant results (16). A larger trial in HIV+ patients reported that the combination of niacin and fenofibrate was better at lowering TGs and non-HDL-C and increasing HDL-C levels than monotherapy with either niacin or fenofibrate (17). It would be informative if additional trials of fibrate + niacin combination therapy were carried out in patients with marked hypertriglyceridemia that can often be difficult to control with lifestyle changes and monotherapy.

 

FISH OIL  

In patients with TG levels > 500mg/dL the combination of fenofibrate 130mg per day and 4 grams of Lovaza (DHA and EPA) reduced TG levels to a greater extent than monotherapy with fenofibrate alone (7% decrease; P = 0.059) (103). Not unexpectedly, LDL levels were increased to a greater extent with combination therapy (9% increase; p= 0.03). When subjects who had received 8 weeks of fenofibrate monotherapy were treated with Lovaza (DHA and EPA) during the 8-week, open-label extension study TG levels were reduced by an additional 17.5% (P = 0.003). These results indicate that the addition of omega-3-fatty acids to fenofibrate will further decrease TG levels.

 

Mechanisms Accounting for the Fibrate Induced Lipid Effects

Fibrates are ligands that bind and activate PPAR alpha, a member of the family of nuclear hormone receptors that are activated by lipids (183,184). PPAR alpha is highly expressed in the liver and other tissues important in fatty acid metabolism. PPAR alpha forms a heterodimer with RXR and together the PPAR alpha:RXR complex when activated binds to the PPAR response elements in a large number of genes and regulates the expression of these genes (183,184). The natural ligands of PPAR alpha are fatty acid derivatives formed during lipolysis, lipogenesis, or fatty acid catabolism (183,184).

 

TRIGLYCERIDES  

Fibrates lower plasma TG levels by decreasing VLDL production and by increasing the clearance of TG rich lipoproteins (185,186). The decrease in VLDL production is primarily due to PPAR alpha activation of the beta oxidation of fatty acids, which reduces the substrate available for the synthesis of TGs and the formation of VLDL (183,186). Additionally, a decrease in hepatic fatty acid synthesis may also contribute to the decrease in fatty acids (183,186). The increased clearance of TG rich lipoproteins is due to PPAR alpha stimulating the transcription of lipoprotein lipase, the key enzyme that catabolizes the TGs carried by VLDL and chylomicrons (183,186). In addition, activation of PPAR alpha also inhibits the transcription of APO C-III, which inhibits lipoprotein lipase activity (183,186). A decrease in Apo C-III enhances the clearance of TG rich lipoproteins by increasing lipoprotein lipase activity. Notably, a decrease in Apo C-III also decreases TG levels in patients deficient in lipoprotein lipase indicating that there are multiple mechanisms for its effects on TG metabolism (187). Recent studies suggest that Apo C-III inhibits the uptake of TG rich lipoproteins into the liver by the LDL receptors/ LDLR-related protein 1 axis (188). PPAR alpha activation also increases the transcription of Apo A-V, which would also facilitate the activity of lipoprotein lipase (183).

 

HIGH DENSITY LIPOPROTEINS

The increase in HDL induced by fibrates is due to PPAR alpha activation stimulating Apo A-I and A-II transcription (183,186). This leads to the increased production of HDL (185). In addition, a decrease in TG rich lipoproteins may result in a reduction in CETP mediated transfer of cholesterol from HDL to VLDL and of TG from VLDL to HDL (186). This would lead to less TG enrichment of HDL and a decrease in the opportunity of hepatic lipase to remove TG leading to small HDL particles that may be rapidly catabolized.

 

LOW DENSITY LIPOPROTEINS

As noted above, the effect of fibrates on LDL-C levels is variable with increases in LDL seen in patients with high TG levels (>400mg/dL) and decreases in LDL-C levels in patients with lower TG levels. In patients with modest elevations in plasma TG levels the clearance of LDL is enhanced (185). The mechanism for this enhanced clearance could be due to a decrease in Apo C-III, as increased levels of this protein inhibits LDL receptor activity (188,189). Additionally, the shift from small dense LDL to large buoyant LDL would enhance the uptake of LDL by the LDL receptor (190). In patients with TG levels > 400mg/dL fibrate therapy decreases LDL clearance (185). Prior to treatment, patients with marked hypertriglyceridemia have hypercatabolism of LDL, which is likely due to increased uptake by the reticuloendothelial system (185). This increased clearance is LDL receptor independent. Treatment with fibrates lowers the plasma TGs leading to normalization of reticuloendothelial cell function and a decrease in LDL clearance resulting in an increase in LDL-C levels with fibrate therapy (185). In addition, the metabolism of VLDL to LDL may be enhanced by fibrates when the TG levels are markedly elevated.

 

Effect of Monotherapy with Fibrates on Cardiovascular Outcomes 

There have been a number of studies that have examined the effect of monotherapy with a variety of different fibrates on cardiovascular disease. We will describe the major studies below.

 

  • Coronary Drug Project (CDP): CDP conducted between 1966 and 1975, was a randomized, double-blind clinical trial that determined the effect of clofibrate (1.8g/day), dextrothyroxine (6mg/day), two doses of oral estrogen (2.5 or 5mg per day), or immediate release niacin (3 grams/day) vs. placebo in 8,341 men aged 30 to 64 years of age with an electrocardiogram documented myocardial infarction on cardiovascular events and mortality (44). The mean baseline total cholesterol level was 251mg/dL and TG level was 183mg/dL. The two estrogen regimens and dextrothyroxine treatment groups were discontinued early because of increased adverse effects. Clofibrate treatment (n= 1,051) compared to placebo (n= 2,680) also did not demonstrate clinical benefit. The five-year mortality in subjects treated with clofibrate was 20.0% as compared with 20.9% in subjects on placebo therapy (P = 0.55). The results with niacin are discussed above in the section on niacin and cardiovascular outcomes.

 

  • WHO: WHO was a double-blind trial in middle-aged men, age 30-59 years of age, without evidence of heart or other major disease, who were treated with 1.6 grams/day clofibrate (n=5,000) or placebo (n=5,000) for an average of 5.3 years (191). Average serum cholesterol levels were approximately 248mg/dL and a mean reduction of approximately 9 per cent occurred in the clofibrate group. The incidence of ischemic heart disease was decreased by 20% in the clofibrate group compared to the control group (P <0.05). This decrease was confined to non-fatal myocardial infarcts which were reduced by 25% while the incidence of fatal heart attacks and angina was similar in the clofibrate and placebo groups. Importantly, the numbers of deaths and crude mortality rates from all causes were increased in the clofibrate-treated group compared to the control group (P < 0.05). The excess deaths were partially accounted for by increased deaths due to liver, biliary tract, and intestinal disease. There was also an increase in cholecystectomies in subjects treated with clofibrate. Because of increased toxicity clofibrate is no longer available.

 

  • Helsinki Heart Study (HHS): HSS was a randomized double-blind trial in middle aged men age 40-55 years of age without cardiovascular who had non-HDL-C levels greater than or equal to 200mg/dL (156). Subjects were randomized to receive 600mg gemfibrozil twice a day (n=2,051) or placebo (n=2,030) for five years. At initiation of the study total cholesterol was 289mg/dL, HDL-C 47mg/dL, non-HDL-C 242mg/dL, and TGs 176mg/dL. Gemfibrozil caused an increase in HDL-C (approximately 10%) and reductions in total (~10%), LDL-C (~11%), non-HDL-C (~14%), and TG levels (~35%). There were minimal changes in serum lipid levels in the placebo group. Fatal and non-fatal myocardial infarctions and cardiac death were the principal end points, and the cumulative rate of these cardiac end points were reduced 34% in the gemfibrozil group (27.3 per 1,000 in the gemfibrozil group vs. 41.4 per 1,000 in the placebo group; P< 0.02). The decrease in cardiovascular disease in the gemfibrozil group became evident in the second year and continued throughout the remainder of the study. There was no difference in mortality between the gemfibrozil and placebo groups. The benefit of gemfibrozil therapy was greatest in participants with elevated TGs and decreased HDL-C levels (192,193). Risk reduction with gemfibrozil was 78% (P = .002) among those with BMI > 26 kg/m2 and dyslipidemia (TGs > ~200mg/dL and HDL-C < 42mg/dL) suggesting that certain types of patients are likely to derive greater benefit from fibrate treatment (194).

 

  • Veterans Affairs High-Density Lipoprotein Cholesterol Intervention Trial (VA-HIT): VA-HIT was a double-blind trial in men with coronary heart disease who had an HDL-C level <40mg/dL and LDL-C level <140mg/dL (157). Subjects were randomized to gemfibrozil 1200mg per day (n=1,264) or placebo (n=1,267) for 5.1 years. Mean lipid levels at study initiation were HDL-C 32mg/dL, LDL-C 111mg/dL, total cholesterol 175mg/dL, and TGs 160mg/dL. At one year, the mean HDL-C level was 6 percent higher, the mean TG level was 31 percent lower, and the mean total cholesterol level was 4 percent lower in the gemfibrozil group than in the placebo group. LDL-C levels did not differ significantly between the groups. The primary study outcome was nonfatal myocardial infarction or death from coronary causes. The primary outcome occurred in 21.7% of patients in the placebo group and 17.3% of patients in the gemfibrozil group (22 percent decrease; P=0.006). A 24% reduction in the combined outcome of death from coronary heart disease, nonfatal myocardial infarction, and stroke was observed in the gemfibrozil group (P< 0.001). There were no significant differences in the rates of coronary revascularization, hospitalization for unstable angina, death from any cause, and cancer. Similar to HHS the beneficial effect of gemfibrozil did not become apparent until approximately two years after treatment. A low HDL-C (<33.5mg/dL) and high TGs (>180mg/dL) at baseline predicted a beneficial response to gemfibrozil therapy (195).

 

  • Bezafibrate Infarction Prevention Study (BIP): BIP was a double-blind study in male and female patients aged 45-74 with a previous myocardial infarction or stable angina (158). Patients were randomized to receive either 400 mg of bezafibrate per day (n=1,548) or a placebo (n=1,542) and were followed for 6.2 years. At the initiation of the study total cholesterol was 212mg/dL, LDL-C was 148mg/dL, HDL-C was 34.6mg/dL, and TGs were145mg/dL. Bezafibrate increased HDL-C by 18% and reduced TGs by 21%. There was a small 7% decrease in LDL-C. The primary end point was fatal or nonfatal myocardial infarction or sudden death. The primary end point occurred in 13. 6% of the bezafibrate group vs. 15.0% of the placebo (9.4% reduction; P=0.26). Total and non-cardiac mortality rates were similar. In a post hoc analysis in the subgroup with high baseline TGs (> or =200 mg/dL), the reduction in the primary end point in the bezafibrate group was 39.5% (P=0.02). Additionally, bezafibrate reduced cardiovascular events in patients with the metabolic syndrome (196). These results again suggest that patients with high TGs are likely to derive benefit from fibrate therapy.

 

  • Leader Trial: The Leader trial was a double blind placebo controlled randomized trial in men age 35 to 92 with lower extremity arterial disease (197,198). Subjects were randomized to bezafibrate 400mg per day (n=783) or placebo (n=785). At baseline total cholesterol levels were 218mg/dL, LDL-C levels 132mg/dL, HDL-C levels 44mg/dL, and TGs 187mg/dL. Bezafibrate therapy reduced total cholesterol levels by 7.6%, LDL-C by 8.1%, and TGs by 23% and increased HDL-C levels by 8%. The primary endpoint of coronary heart disease and strokes was not reduced by bezafibrate treatment. Neither major coronary events nor strokes were significantly reduced.

 .

  • Fenofibrate Intervention and Event Lowering in Diabetes Trial (FIELD): In the FIELD Trial patients with Type 2 diabetes between the ages of 50 and 75 with or without pre-existing cardiovascular disease not taking statin therapy were randomized to fenofibrate 200 mg daily (n=4,895) or placebo (n=4,900) and followed for approximately 5 years (160). At initiation of the study total cholesterol was 196mg/dL, LDL-C was 120mg/dL, HDL-C was 43mg/dL, and TGs were 152mg/dL. Fenofibrate therapy resulted in an 11% decrease in total cholesterol, a 12% decrease in LDL-C, a 29% decrease in TGs, and a 5% increase in HDL-C levels. The primary outcome was coronary events (coronary heart disease death and non-fatal MI), which were reduced by 11% in the fenofibrate group but this difference did not reach statistical significance (p= 0.16). However, there was a 24% decrease in non-fatal MI in the fenofibrate treated group (p=0.01) and a non-significant increase in coronary heart disease mortality. Total cardiovascular disease events (coronary events plus stroke and coronary or carotid revascularization) were reduced 11% (p=0.035). These beneficial effects of fenofibrate therapy on cardiovascular disease were observed in patients without a previous history of cardiovascular disease. In patients with a previous history of cardiovascular disease no benefits were observed. Additionally, the beneficial effect of fenofibrate therapy was seen only in those subjects less than 65 years of age. The beneficial effects of fenofibrate in this study may have been blunted by the increased use of statins in the placebo group, which reduced the differences in lipid levels between the placebo and fenofibrate groups. If one adjusted for the addition of lipid-lowering therapy, fenofibrate reduced the risk of coronary heart disease events by 19% (p=0.01) and of total cardiovascular disease events by 15% (p=0.004). Additionally, many patients in the Field trial did not have elevations in TGs and decreased HDL-C levels. In a post hoc analysis, patients with high TGs 200mg/dL) and low HDL levels (<40mg for men and <50mg/dL for women) derived greater benefit from fenofibrate therapy (199).

 

  • Summary: While the above monotherapy fibrate studies suggest that fibrates reduce cardiovascular event, particularly in patients with high TG and low HDL levels, the results are not as robust or consistent as the beneficial effects of statins on cardiovascular outcomes (6).

 

Effect of Combination Therapy of Fibrates and Statins on Cardiovascular Outcomes

Given the marked benefits of statin therapy, it is essential to know if adding fibrates to statin therapy further reduces cardiovascular events. Two large trials described below have addressed this key question.

 

  • ACCORD LIPID Trial: The ACCORD-LIPID Trial was designed to determine if the addition of fenofibrate to aggressive statin therapy would result in a further reduction in cardiovascular disease in patients with Type 2 diabetes (200). In this trial, 5,518 patients on statin therapy were randomized to placebo or fenofibrate therapy. The patients had diabetes for approximately 10 years and either had pre-existing cardiovascular disease or were at high risk for developing cardiovascular disease. During the trial, LDL-C levels were approximately 80mg/dL. There was only a small difference in HDL-C with the fenofibrate groups having a mean HDL-C of 41.2mg/dL while the control group had an HDL-C of 40.5mg/dL. Differences in TG levels were somewhat more impressive with the fenofibrate group having a mean TG level of 122mg/dL while the control group had a TG level of 144mg/dL. First occurrence of nonfatal myocardial infarction, nonfatal stroke, or death from cardiovascular causes was the primary outcome and there was no statistical difference between the fenofibrate treated group and the placebo group. Additionally, there were also no statistically significant differences between the groups with regards to any of the secondary outcome measures of cardiovascular disease. Of note, the addition of fenofibrate to statin therapy did not result in an increase in either muscle or liver side effects. On further analysis there was a suggestion of benefit with fenofibrate therapy in the patients in whom the baseline TG levels were elevated (>204mg/dL) and HDL-C levels decreased (<34mg/dL). While this was a negative study, it must be recognized that most of the patients included in this study did not have the lipid profile that would typically lead to treatment with fibrates.

 

  • PROMINENT Trial: The PROMINENT trial studied the effect of pemafibrate, a new selective PPAR-alpha activator, in reducing cardiovascular outcomes in 10,497 patients (66.9% with previous ASCVD) with diabetes (201). This was a double-blind, randomized, controlled trial, in patients with Type 2 diabetes, with mild-to-moderate hypertriglyceridemia (TG level, 200 to 499 mg/dL), LDL-C < 100mg/dL, and HDL-C levels < 40 mg/dL who received either pemafibrate (0.2-mg tablets twice daily) or placebo in addition to statin therapy (96% on statins). The primary end point was a composite of nonfatal MI, ischemic stroke, coronary revascularization, or death from cardiovascular causes. Baseline fasting TG was 271 mg/dL, HDL-C 33 mg/dL, and LDL-C 78 mg/dL. Compared with placebo, pemafibrate decreased TG by 26.2%, while HDL-C increased 5.1% and LDL-C increased 12.3%. Notably non-HDL-C levels were unchanged and Apo B levels increased 4.8%. The primary endpoint was similar in the pemafibrate and placebo group (HR 1.03; 95% CI 0.91 to 1.15). The increase in LDL-C and Apo B levels may have accounted for the failure to reduce cardiovascular events.

 

  • Summary: The results of the ACCORD and PROMINENT trials were very disappointing and have greatly decreased the enthusiasm for adding fibrates to statin therapy to reduce cardiovascular events.

 

Effect of Fibrates on Non-Cardiovascular Outcomes

DIABETIC RETINOPATHY

Small studies in the 1960’s presented suggestive evidence that treatment with clofibrate improved diabetic retinopathy (202,203). Randomized trials have confirmed these observations.

 

The Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study was a randomized trial in patients with Type 2 diabetes mellitus. Patients were randomly assigned to receive either fenofibrate 200 mg/day (n=4,895) or placebo (n=4,900). Laser treatment for retinopathy was significantly lower in the fenofibrate group than in the placebo group (3.4% patients on fenofibrate vs 4.9% on placebo; p=0.0002) (204). Fenofibrate therapy reduced the need for laser therapy to a similar extent for maculopathy (31% decrease) and for proliferative retinopathy (30% decrease). In the ophthalmology sub-study (n=1,012), the primary endpoint of 2-step progression of retinopathy grade did not differ significantly between the fenofibrate and control groups (9.6% patients on fenofibrate vs 12.3% on placebo; p=0.19). In patients without pre-existing retinopathy there was no difference in progression (11.4% vs 11.7%; p=0.87). However, in patients with pre-existing retinopathy, significantly fewer patients on fenofibrate had a 2-step progression than did those on placebo (3.1% patients vs 14.6%; p=0.004). A composite endpoint of 2-step progression of retinopathy grade, macular edema, or laser treatments was significantly reduced in the fenofibrate group (HR 0.66, 95% CI 0.47-0.94; p=0.022).

 

In the ACCORD Lipids Study a subgroup of participants were evaluated for the progression of diabetic retinopathy by 3 or more steps on the Early Treatment Diabetic Retinopathy Study Severity Scale or the development of diabetic retinopathy necessitating laser photocoagulation or vitrectomy over a four-year period (205). At 4 years, the rates of progression of diabetic retinopathy were 6.5% with fenofibrate therapy (n=806) vs. 10.2% with placebo (n=787) (adjusted odds ratio, 0.60; 95% CI, 0.42 to 0.87; P = 0.006). Of note, this reduction in the progression of diabetic retinopathy was of a similar magnitude as intensive glycemic treatment vs. standard therapy.

 

A double-blind, randomized, placebo-controlled study in 296 patients with type 2 diabetes mellitus evaluated the effect of placebo or etofibrate on diabetic retinopathy (206). After 12 months an improvement in ocular pathology was more frequent in the etofibrate group vs the placebo group ((46% versus 32%; p< 0.001).

 

The MacuFen study was a small double-blind, randomized, placebo-controlled study in 110 subjects with diabetic macular edema who did not require immediate photocoagulation or intraocular treatment (207). Patients were randomized to fenofibric acid or placebo for 1 year. Patients treated with fenofibric acid had a modest improvement in total macular volume that was not statistically significant compared to the placebo group.

 

Based on these trials a large trial specifically designed to investigate the ocular effects of fenofibrate was carried out (The Lowering Events in Non-proliferative retinopathy in Scotland (LENS) trial) (208). In this trial 1151 patients with diabetic retinopathy or maculopathy were randomized to fenofibrate 145mg (n= 576) or placebo (n= 575) for a median of 4.0 years. Progression of diabetic retinopathy or maculopathy requiring referral or treatment (primary endpoint) occurred in 22.7% of patients in the fenofibrate group and 29.2% of patients in the placebo group (HR 0.73; 95% CI 0.58 to 0.91; P=0.006). Any progression of retinopathy or maculopathy was reduced by 26%, the development of macular edema by 50%, and the need for treatment with intravitreal injection, retinal laser, or vitrectomy by 42% in the fenofibrate group.

 

Taken together these results indicate that fibrates have beneficial effects on the progression of diabetic retinopathy (209). The mechanisms by which fibrates decrease diabetic retinopathy are unknown, and whether decreases in serum TG levels play an important role is uncertain. Fibrates activate PPAR alpha, which is expressed in the retina (210). Diabetic PPARα KO mice developed more severe DR while overexpression of PPARα in the retina of diabetic rats significantly alleviated diabetes-induced retinal vascular leakage and retinal inflammation, suggesting that fibrates could have direct effects on the retina to reduce diabetic retinopathy (210).

 

DIABETIC KIDNEY DISEASE

The Diabetes Atherosclerosis Intervention Study (DAIS) evaluated the effect of fenofibrate therapy (n= 155) vs. placebo (n=159) on changes in urinary albumin excretion in patients with Type 2 diabetes (211). Fenofibrate significantly reduced the worsening of albumin excretion (fenofibrate 8% vs. placebo 18%; P < 0.05). This effect was primarily due to reduced progression from normal albumin excretion to microalbuminuria (fenofibrate 3% vs. 18% placebo; P < 0.001).

 

 In the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) trial, Type 2 diabetic patients aged 50 to 75 years were randomly assigned to fenofibrate (n = 4,895) or placebo (n = 4,900) for 5 years (212). Fenofibrate reduced urine albumin/creatinine ratio by 24% vs 11% in placebo group (p < 0.001), with 14% less progression and 18% more albuminuria regression (p < 0.001) in the fenofibrate group than in participants on placebo. As expected, fenofibrate therapy acutely increased plasma creatinine levels and decreased eGFR (213). However, over the long-term, the increase in plasma creatinine was lower in the fenofibrate group compared to the placebo group (14% decrease; p=0.01). Similarly, there was a slower annual decrease in eGFR in the fenofibrate group (1.19 vs 2.03 ml/min/1.73 m2annually, p < 0.001). End-stage renal disease, dialysis, renal transplant, and renal death were similar in the fenofibrate and placebo groups, likely due to the small number of events.

 

In the ACCORD-LIPID trial, 5,518 patients on statin therapy were randomized to placebo or fenofibrate therapy (200). The patients had diabetes for approximately 10 years and either had pre-existing cardiovascular disease or were at high risk for developing cardiovascular disease. The post-randomization incidence of microalbuminuria was 38.2% in the fenofibrate group and 41.6% in the placebo group (p=0.01) and post-randomization incidence of macroalbumuria was 10.5% in the fibrate group and 12.3% in the placebo group (p=0.04) indicating a modest reduction in the development of proteinuria in patients treated with fenofibrate (200). There was no significant difference in the incidence of end-stage renal disease or need for dialysis between the fenofibrate group and the placebo group, likely due to the small number of events.

 

A small randomized study in patients with Type 2 diabetes and hypertriglyceridemia compared the effect of fenofibrate (200mg/day) (n=28) vs. no treatment (n=28) on urinary albumin excretion (214). After 180 days urinary albumin/creatine ratio was decreased in the fenofibrate group vs. controls (control -8.15 vs fenofibrate -44.05 mg/g; P<0.05).

 

These studies suggest that fibrates may have a beneficial effect on diabetic kidney disease (215). One should recognize that reducing proteinuria is a surrogate marker and may not indicate a reduction in the development of end stage renal disease. The mechanisms accounting for the decrease in proteinuria are unknown.

 

LOWER EXTREMITY COMPLICATIONS (AMPUTATIONS, ULCERATION, GANGRENE) IN PATIENTS WITH DIABETES

In the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study, patients aged 50-75 years with Type 2 diabetes were randomly assigned to receive fenofibrate 200 mg per day (n=4,895) or matching placebo (n=4,900) for 5 years' duration (216). The risk of first amputation was decreased by 36% (p=0.02) and minor amputation events without known large-vessel disease by 47% (p=0.027) in the fenofibrate treated group (216). The reduction in amputations was independent of glucose control or dyslipidemia. No difference between the risks of major amputations was seen in the placebo and fenofibrate groups. The basis for this reduction in amputations is unknown.

 

In the PROMINENT trial 10,497 participants with type 2 diabetes, mild to moderate hypertriglyceridemia (triglyceride level 200-499 mg/dL), and high-density lipoprotein cholesterol levels ≤40 mg/dL were randomized to pemafibrate, a selective PPARα activator, or placebo. During a median follow-up of 3.4 years pemafibrate reduced diabetic lower extremity ulceration and gangrene by 37% (HR 0.63; 95% CI: 0.41-0.96; P = 0.03) (217).

 

GOUT

In the Field trial treatment with fenofibrate reduced uric acid levels by 20% and reduced episodes of gout by approximately 50% compared to placebo (HR 0·48, 95% CI 0·37-0·60; p<0·0001) (218). Interestingly, a meta-analysis of fibrate trials found that fenofibrate but not bezafibrate reduced serum uric acid levels suggesting that the reduction in uric acid levels is not a class effect (219).

 

SUMMARY

The above studies provide substantial evidence that fibrates have a favorable effect on diabetic microvascular disease (159). While fibrates are not approved specifically for the prevention or treatment of diabetic microvascular disease one should consider these potential beneficial effects when deciding on treatment choices. For example, in a patient with diabetes and microvascular disease and hypertriglyceridemia needing therapy one might elect to use fibrates to lower plasma TGs given their potential beneficial effects on slowing the progression of microvascular disease. 

 

Side Effects

RENAL

Fibrate therapy leads to an increase in serum creatinine and cystatin C levels (220-222). For example, in the Field Trial serum creatinine levels increased from 0.88mg/dL to 0.99mg/dL, a 12% increase (160). This increase in creatinine has been seen with all fibrates but appears to be less profound with gemfibrozil (220). The increase in cystatin C occurs with fenofibrate but not with other fibrates (221). It must be recognized that this increase in creatinine is reversible on stopping fibrate therapy and does not reflect kidney damage (220). In fact, careful measurements of renal function have not demonstrated a decrease in glomerular filtration rate despite the increase in serum creatinine (213,223,224). As discussed above, studies of renal function in patients with diabetes actually suggests that treatment with fibrates may be protective. The precise mechanism by which fibrates increase serum creatinine levels is unknown.

 

In patients with chronic renal disease fibrates should be used with caution and at lower doses (220). Fibrates are all excreted by the kidneys and thus the excretion of fibrates is decreased in patients with renal dysfunction (220). Therefore, one needs to adjust the fibrate dose depending upon renal function. The National Kidney Foundation recommends the dose adjustments shown in Table 18 (225).

 

Table 18. Fibrate Dose Adjustments in Renal Disease

 

No Kidney Disease

GFR 30-60

GFR < 30

Kidney Transplant

Bezafibrate

400-600mg

200mg

Avoid

Avoid

Ciprofibrate

1000-2000mg

?

Avoid

Avoid

Fenofibrate

150-200mg

40-60mg

Avoid

Avoid

Gemfibrozil

1200mg

1200mg

600mg

600mg

 

GALLBLADDER DISEASE

It is clear that clofibrate increases the risk of gallbladder disease. In both the WHO trial and the Coronary Drug Project, cholecystectomies occurred two to three times more often in the patients treated with clofibrate compared to placebo (44,191,226). Whether gemfibrozil, fenofibrate, or other fibrates increases the risk of gallbladder disease is uncertain. In the large, randomized outcome studies presented earlier (Effect of fibrates on cardiovascular outcomes section) a statistically significant increase in either gallbladder disease or cholecystectomies were not observed. However, in a sub-study of 450 Helsinki Heart Study participants a trend toward a greater prevalence of gallstones during the study in the gemfibrozil group was observed (7.5% versus 4.9% for the placebo group, a 55% excess for the gemfibrozil group) (Lopid Package Insert). A trend toward a greater incidence of gallbladder surgery was also observed in the gemfibrozil group (17 versus 11 subjects, a 54% excess) (Lopid Package Insert). In a single epidemiological trial fibrate treatment independently correlated with the presence of gallstones with a relative risk of 1.7 (p=0.04) (227).

 

All fibrates alter the composition of bile resulting in an increase in the concentration of cholesterol, which will predispose to the formation of cholesterol gallstones (220). In a comparison of clofibrate and gemfibrozil it was observed that clofibrate resulted in changes in bile composition that would be more lithogenic than gemfibrozil (228).

 

The effect of combining fibrates with statins on the risk of gallbladder disease is unknown.  An increased risk of gallbladder disease or cholecystectomies was not reported in the ACCORD-LIPID trial where fenofibrate was added to statin therapy or the PROMINENT trial where pemafibrate was added to statin therapy (200,201).

 

While it is clear that clofibrate increases the risk of gallbladder disease the effect of other fibrates either as monotherapy or in combination with other drugs is less well defined.

 

PANCREATITIS  

In a meta-analysis of 7 fibrate trials involving 40,162 participants conducted over 5.3 years, 144 participants developed pancreatitis (84 assigned to fibrate therapy, 60 assigned to placebo) (RR, 1.39 (95% CI, 1.00-1.95; P = .053) (229). These observations raise the possibility that fibrates may increase the risk of pancreatitis.

 

CANCER

A large meta-analysis of 17 randomized controlled trials, involving 44,929 participants, with an average follow-up of 5.2 years has examined if fibrates lead to an increased risk of cancer. No increase in either cancer incidence (RR = 1.02, 95% CI 0.92-1.12) or cancer death (RR = 1.06, 95% CI: 0.92-1.22) was noted with fibrate treatment (230).

 

LIVER DISEASE

Fenofibrate has rarely been associated with idiosyncratic hepatotoxicity manifesting as hepatocellular to cholestatic disorders (231). The hepatitis may be acute self-limited or persistent chronic hepatitis. Liver abnormalities are very rare and in large trials such as the FIELD trial described above liver function test abnormalities were similar in the fenofibrate and placebo groups (160).   

 

GLYCEMIC PARAMETERS

A meta-analysis of 22 randomized placebo-controlled trials involving a total of 11,402 subjects demonstrated that fibrate therapy significantly decreased fasting plasma glucose, insulin levels, and insulin resistance measured by HOMA-IR, but did not affect HbA1c levels (232).

 

MUSCLE DISORDERS

Fibrate monotherapy has been reported to cause myopathy (220). In a large epidemiological study the incidence of hospitalization for rhabdomyolysis per 10,000 person-years for monotherapy with a fibrate was 2.82 (95% CI, 0.58-8.24) while in patients not exposed to lipid lowering drugs the incidence was 0 (95% CI, 0-0.48) (233). The risk of rhabdomyolysis was greater with gemfibrozil therapy than with fenofibrate. Interestingly the incidence of rhabdomyolysis was greater for patients treated with fibrate monotherapy than for patients treated with statin monotherapy (incidence for atorvastatin, pravastatin, or simvastatin was only 0.44 per 10,000 person-years). In an epidemiological study focusing on myopathy similar results were observed (234). The relative risks of myopathy in current users of fibrates and statins compared with nonusers were 42.4 (95% CI = 11.6-170.5) and 7.6 (95% CI = 1.4-41.3), respectively. It should be recognized though that in large randomized clinical trials the risk of muscle symptoms was low in patients treated with fibrates and not dissimilar to that seen in the patients treated with placebo (220). For example, in the Helsinki Heart Study over 2,000 patients were treated and in the VA-HIT over 1,000 patients were treated with gemfibrozil for five years and no cases of  myopathy were reported in either trial (156,157). In the Bezafibrate Infarction Prevention Study, seven patients in the placebo group and five patients in the bezafibrate group reported muscle pain, while CPK levels greater than 2x the upper range of normal was seen in four patients in the bezafibrate group and one patient in the placebo group (158). Finally, in the Field Trial, patients with diabetes were treated with fenofibrate (n=4,895) or placebo (n=4,900) (160). Myositis was observed in one patient treated with placebo and two patients treated with fenofibrate while rhabdomyolysis was observed in one patient treated with placebo and three patients treated with fenofibrate. Elevations in CPK levels values > 10x the upper range of normal were seen in three patients on placebo and 4 patients treated with fenofibrate. Thus, while fibrates can lead to significant muscle dysfunction this is a rare event and appears to occur only slightly more often in patients treated with a fibrate than in patients treated with a placebo. The risk of serious muscle disease appears to be increased in patients with renal failure, hypothyroidism, and in the elderly (220). The mechanism by which fibrates predispose to muscle disorders is unknown.

 

The effect of fibrates in combination with statins on muscle disorders will be discussed in detail in the section on drug interactions below.

 

Drug Interactions

STATINS

The combination a fibrate and a statin may increase the risk of developing muscle symptoms (220). The degree of risk is dependent on both the specific statin and the specific fibrate that is being used in combination (220). For example, the average incidence per 10,000 person-years for hospitalization for rhabdomyolysis with monotherapy with atorvastatin, pravastatin, or simvastatin was 0.44 (95 % CI, 0.20-0.84); with fibrate alone was 2.82 (95% CI, 0.58-8.24); and with combined therapy of atorvastatin, pravastatin, or simvastatin with a fibrate was 5.98 (95% CI, 0.72-216.0) (233). Of note, the average incidence per 10,000 person-years for hospitalization for rhabdomyolysis with the combination of cerivastatin with a fibrate was 1035 (95% CI, 389-2117), clearly demonstrating an increased risk of the cerivastatin-fibrate combination compared to other statin-fibrate combinations (233). A study by Alsheikh-Ali and colleagues looking at cases of rhabdomyolysis reported to the FDA relative to the total number of prescriptions reached the conclusion that the combination of cerivastatin with a fibrate markedly increased the risk of this complication (235). Additionally, it was noted that the risk of rhabdomyolysis was greater with gemfibrozil compared to fenofibrate and that the combination of cerivastatin and gemfibrozil was particularly toxic (235). Other studies have also noted a marked risk with the combination of cerivastatin and gemfibrozil (236). Cerivastatin is no longer available.

 

Studies comparing the risk of rhabdomyolysis with gemfibrozil-statin combination therapy compared to fenofibrate-statin combination therapy have shown an increased risk with gemfibrozil (220). For example, the number of cases of rhabdomyolysis reported with fenofibrate and statins other than cerivastatin was 0.58 per million prescriptions whereas with gemfibrozil and statins other than cerivastatin was 8.6 per million prescriptions (237). Reviews of the FDA’s adverse events reporting system database have estimated that the risk of myopathy for the combination of gemfibrozil with a statin was much greater than the risk with the combination of fenofibrate with a statin (235,237).  Additionally, studies that employed the combination of gemfibrozil and statins have reported a significant occurrence of muscle related symptoms whereas studies of fenofibrate in combination with statins have not shown an increase in muscle related symptoms (220). For example, the rate of myopathy in over 4,000 patients taking lovastatin was only 0.4% but in patients on the combination of lovastatin and gemfibrozil the frequency increased to 5% (238). In contrast, in the ACCORD-LIPID Trial over 5,000 patients on statin therapy were randomized to fenofibrate or placebo for 4.7 years and no increase in the incidence of muscle related symptoms was observed with fenofibrate therapy (200). Similarly, in the Field Trial approximately 1,000 patients were taking fenofibrate and a statin and with 5 years of follow-up no cases of rhabdomyolysis were reported (160). Finally, a meta-analysis by Geng and colleagues identified 13 randomized trials with 7,712 patients receiving combination fenofibrate-statin therapy compared with statin therapy alone (172). The incidence of elevated creatine kinase levels, muscle-associated adverse events, or withdrawals attributed to muscle dysfunction did not differ significantly between the fenofibrate + statin patients vs. the statin alone patients (172). The American College of Cardiology and American Heart Association Guidelines recommend against using the combination of a statin and gemfibrozil but recognize that the use of a statin and fenofibrate is appropriate under certain circumstances (239).

 

The increased risk of combining gemfibrozil with statins is due to alterations in statin metabolism leading to increases in the serum levels of statins and hence an increased risk of myopathy (220,240). In contrast, fenofibrate does not alter statin metabolism and therefore can be safely combined with statins (Table 19) (240).   

 

Table 19. Effect of Fibrates on Statin Pharmacokinetics (220,240,241)

Statin

Gemfibrozil

Fenofibrate

Atorvastatin

Increase in C-Max by 1.5-Fold

No Change

Simvastatin

Increase in C-Max by 2-Fold

No Change

Pravastatin

Increase in C-Max by 2-Fold

No Change

Rosuvastatin

Increase in C-Max by 2-Fold

No Change

Lovastatin

Increase in C-Max by 2.8-Fold

No Change

Pitavastatin

Increase in C-Max by 41%

Unknown

Fluvastatin

No Change

No Change

  

The explanation for the difference between gemfibrozil and fenofibrate is that gemfibrozil uses the same family of glucuronidation enzymes as the statins thereby inhibiting statin metabolism (220,242). In contrast, fenofibrate uses a different family of glucuronidation enzymes and does not inhibit statin metabolism (220).

 

COUMADIN ANTI-COAGULANTS

Gemfibrozil and fenofibrate can potentiate the effect of coumadin anti-coagulants leading to a prolongation of prothrombin time and an increased risk of bleeding. When starting a fibrate in patients on coumadin therapy the dose of coumadin should be decreased and prothrombin times should be closely monitored (Lopid and Tricor Package Inserts).    

 

REPAGLINIDE

Gemfibrozil in combination with rapaglinide increases blood levels of rapaglinide and therefore this combination should not be used because of the increased risk of hypoglycemia (Lopid Package Insert).

 

Contraindications

Fibrates are contraindicated in patients with severe hepatic dysfunction. Additionally, patients with pre-existing gallstones should not be treated with fibrates. Fenofibrate and gemfibrozil are pregnancy category C drugs and should only be used if the potential benefit justifies the potential risk to the fetus. The combination of gemfibrozil and a statin should be avoided.

 

Conclusions

Fibrates are effective drugs in reducing TG levels and modestly increase HDL-C levels. Additionally, they also reduce LDL-C and non-HDL-C levels. Fibrates have a number of side effects, and one should avoid using gemfibrozil in combination with statins. In contrast, fenofibrate can be used in combination with statins. Studies have not consistently demonstrated that fibrate monotherapy therapy reduces cardiovascular events and the combination of fibrates and statins in two studies has not been shown to be beneficial. Therefore, enthusiasm to use fibrates to reduce cardiovascular events has markedly diminished. In patients with diabetes fibrates appear to slow the progression of microvascular disease. Finally, fibrates are effective in lowering TGs in patients with marked hypertriglyceridemia and while not proven it will likely reduce the risk of the development of pancreatitis.

 

APOLIPOPROTEIN C-III INHIBITORS

Volanesorsen

INTRODUCTION  

Volanesorsen (Waylivra) is an antisense oligonucleotide inhibitor of apolipoprotein C-III (apo C-III) mRNA that is approved in Europe for the treatment of familial chylomicronemia syndrome (FCS). This drug has not been approved by the FDA for use in the United States. FCS is a rare metabolic disorder involving the impaired function of lipoprotein lipase (LPL) due to mutations in LPL, Apo C-II, Apo A-V, lipase maturation factor 1, and glycosylphosphatidylinositol-anchored high-density lipoprotein-binding protein 1 (GPIHBP1) (243,244). For a detailed discussion of the diagnosis and treatment of FCS see the following references (243-245).

 

EFFECT OF VOLANESORSEN ON LIPID AND LIPOPROTEIN LEVELS      

Familial Chylomicronemia Syndrome

A double-blind, randomized 52-week trial (APPROACH study) evaluated the ability of volanesorsen (300 mg subcutaneously once weekly) vs. placebo to decrease TG levels in 66 patients with FCS (baseline TGs 2,209mg/dL) (246). The primary end point was the percentage change in fasting TG levels at 3 months. As expected, there was a marked reduction in Apo C-III levels (84% decrease) in the volanesorsen group and a small increase (6%) in the placebo group. Most importantly patients treated with volanesorsen had a 77% decrease at 3 months in TG levels (mean decrease of 1,712 mg/dL) whereas patients receiving placebo had an 18% increase in TG levels. The decrease in TGs in patients treated with volanesorsen persisted for 24 months (247). Significantly, 77% of the patients in the volanesorsen group vs. only 10% of patients in the placebo group had TG levels of less than 750 mg/dL, a level that would greatly reduce the risk of pancreatitis. In addition, patients who received volanesorsen had decreases in levels of chylomicron TG by 83%, apolipoprotein B-48 by 76%, non–HDL-C by 46%, and VLDL-C by 58% and increases in levels of HDL-C by 46%, apolipoprotein A1 by 14%, LDL-C by 136% (note LDL-C increased from 28 to 61 mg/dL), and total apolipoprotein B by 20%.

 

While the APPROACH study was not powered to examine the effect of volanesorsen on pancreatitis, during the study three patients in the placebo group had four episodes of acute pancreatitis, whereas one patient in the volanesorsen group had one episode. In patients with a history of recurrent pancreatitis events (≥ 2 events in the 5 years prior to study, n = 11), a reduction in pancreatitis attacks was seen in patients treated with volanesorsen compared with placebo (none of the 7 patients in the volanesorsen group and 3 of the 4 patients in the placebo group experienced a pancreatitis attack over the 52-week study period).

 

In a retrospective global web-based survey open to all patients with the FCS who received volanesorsen for ≥3 months, 22 patients responded and reported reductions in steatorrhea, pancreatic pain, and constant worry about an attack of pain/ acute pancreatitis (248). The patients also reported that volanesorsen improved overall management of symptoms and reduced interference of FCS with work/school responsibilities. Decreases in the negative impact of FCS on personal, social, and professional life were also reported.

 

Hypertriglyceridemia

A randomized, double-blind, placebo-controlled, study evaluated volanesorsen in patients with hypertriglyceridemia (249). Patients who were not receiving TG-lowering therapy (n=57) were eligible if they had fasting TG level between 350 mg/dL and 2000 mg/dL and were assigned to volanesorsen 100, 200, or 300 mg or placebo. Patients who were receiving a fibrate (n=28) were eligible if they had a fasting TG level between 225 mg/dL and 2000 mg/dL and were randomly assigned to volanesorsen 200 or 300 mg or placebo. The study drug was administered as a single subcutaneous injection once a week for 13 weeks. Baseline TG levels were 581±291 mg/dL in patients not on fibrates and 376±188 mg/dL in patients on fibrates. In patients not on fibrates volanesorsen 300 mg decreased Apo C-III levels by 79.6% vs. an increase of 4.2% in the placebo group (P<0.001) and decreased TG levels by 70.9% compared with an increase of 20.1% in the placebo group (P<0.001). Additionally, HDL-C levels increased by 45.7% from baseline in the 300 mg group, as compared with an increase of 0.7% in the placebo group (P<0.001). LDL-C levels increased from 79.5±29.9 mg/dL to 127.8±44.9 mg/dL with 300 mg of volanesorsen and was associated with an increase in LDL particle size. However, non-HDL-C and total apo B levels remained relatively unchanged and similar to those in the placebo group. Similar changes in Apo C-III, TGs, HDL-C, non-HDL-C, VLDL-C, and total apo B levels were observed in the patients on fibrates treated with volanesorsen. Of note, LDL-C levels did not increase in the patients on fibrates treated with volanesorsen perhaps due to the lower baseline TG levels. 

 

The COMPASS study randomized 113 patients with fasting TGs ≥500 mg/dL (mean TG 1,261mg/dL) to receive either volanesorsen 300 mg or placebo subcutaneously once weekly for 26 weeks (250). Most of these patients had the multifactorial chylomicronemia syndrome but a small number had FCS. A 71% reduction in TGs from baseline after 3 months was observed in patients treated with volanesorsen vs. a 0.9% reduction in placebo-treated patients (P<0.0001). LDL-C levels increased 96% (64 to 111mg/dL), HDL-C increased 61% (25 to 39mg/dL) and non-HDL-C decreased 27% (232 to 158mg/dL) Notably pancreatitis episodes were reduced with 5 events in 3 patients occurring in the placebo group vs. none with volanesorsen treatment (P=0.036). 

 

Diabetes

A randomized, double-blind, placebo-controlled trial of volanesorsen 300 mg weekly or placebo was performed in 15 adult patients with type 2 diabetes (HbA1c >7.5%) and hypertriglyceridemia (TG >200 and <500 mg/dL) (251). Treatment with volanesorsen significantly reduced plasma apo C-III (-88%, P = 0.02) and TG (-69%, P = 0.02) levels and raised HDL-C (42%, P = 0.03) without altering LDL-C levels compared with placebo. These changes were accompanied by a 57% improvement in whole-body insulin sensitivity (P < 0.001) and decreases in HbA1c (-0.44%, P = 0.025) 3 months postdosing. The improvement in insulin sensitivity was strongly related to the decrease in plasma apo C-III and TGs.

 

Familial Partial Lipodystropy (FPL)

Patients with FPL were randomized to volanesorsen 300mg weekly (n=21) or placebo (n=19) (252). Median TG level was 781mg/dL in the placebo group and 749mg/dL in the volanesorsen group. Volanesorsen treatment at 3 months resulted in an 88% decrease in TG levels while in the placebo group TG levels decreased by 22% (net difference of −67%; P=0.0009). Non-HDL-HDL-C levels decreased while LDL-C and HDL-C levels increased. A smaller study in 5 patients with FPL also demonstrated decreases in TG levels (253).

 

MECHANISMS ACCOUNTING FOR THE VOLANESORSEN INDUCED LIPID EFFECTS           

Volanesorsen binds to apo C-III mRNA leading to increased degradation and thereby inhibits the hepatic synthesis of apo C-III protein resulting in a reduction in plasma apo C-III levels (254,255). Apo C-III has a number of important effects on the metabolism of TG rich lipoproteins (256). Apo C-III is an inhibitor of LPL and therefore decreasing apo C-III levels will enhance LPL activity. In patients with FCS this will not be important because patients with this disorder have defects in components of the LPL complex that result in the inability to increase LPL activity. However, in patients with increased TG levels not due FCS this would accelerate the clearance of TG rich lipoproteins. Studies have also shown that apo C-III stimulates the production and secretion of VLDL by the liver. This effect is also not likely to be of primary importance in patients with FCS as the very high TG levels are primarily due to chylomicrons and not VLDL. However, in other situations increased hepatic secretion of VLDL may be an important contributor to hypertriglyceridemia. Whether apo C-III regulates chylomicron secretion by the intestine is unknown. Finally, Apo C-III inhibits the binding of TG rich lipoproteins to hepatic LDL receptors and LDL receptor–related protein 1 decreasing the clearance of TG rich lipoprotein particles. A decrease in apo C-III will accelerate the clearance of TG rich lipoproteins, which likely accounts for the ability of volanesorsen to decrease TG levels in patients with FCS.

 

DRUG ADMINISTRATION AND PHARMACOKINETICS

The recommended starting dose is 285 mg injected subcutaneously once weekly for 3 months after which the dose should be reduced to 285 mg every 2 weeks. If serum TGs decrease by less than 25% or are not below 2000 mg/dL (22.6 mmol/L) after 3 months on volanesorsen 285 mg weekly, treatment should be discontinued (package insert;https://www.ema.europa.eu/en/documents/product-information/waylivra-epar-product-information_en.pdf).

 

After 6 months of treatment one can consider increasing the dose frequency back to 285 mg weekly if the serum TG response has been inadequate and the platelet counts are in the normal range. Patients should return to 285 mg every 2 weeks if the higher 285 mg once weekly dose does not provide a significant additional TG reduction after 9 months (package insert).

 

EFFECT ON CLINICAL OUTCOMES

As described above in the description of the effect of volanesorsen on lipid/lipoprotein levels in patients with FCS and marked hypertriglyceridemia there is suggestive evidence that lowering the very high TG levels with volanesorsen treatment will reduce the risk of pancreatitis and improve the quality of life. An analysis of 3 randomized trials in  patients with severe hypertriglyceridemia reported that acute pancreatitis occurred in 2 patients (2%) in the volanesorsen group and in 9 patients (10%) in the placebo group (odds ratio, 0.18; 95% confidence interval, 0.04 to 0.82) (257).

 

Volanesorsen treatment reduced hepatic fat assessed by MRI in patients with FCS, severe hypertriglyceridemia, and familial partial lipodystrophy (258). The greater the hepatic fat the greater the decrease induced by volanesorsen.

 

The effect of volanesorsen on cardiovascular disease has not been determined. However, epidemiologic studies have demonstrated that increased Apo C-III levels are associated with an increased risk of cardiovascular events (259-261)and coronary artery calcification (262). Moreover, carriers of rare heterozygous loss-of-function mutations in Apo C-III have reduced TG levels and reduced cardiovascular disease risk (263-265). One can speculate that lowering Apo C-III and TG levels with volanesorsen will have beneficial effects on the development of cardiovascular disease.

 

SIDE EFFECTS 

Treatment with volanesorsen is very commonly associated with reductions in platelet count in patients with the FCS and may result in thrombocytopenia (package insert; https://www.ema.europa.eu/en/documents/product-information/waylivra-epar-product-information_en.pdf). Platelet counts below 140 x 109/L were observed in 75% of patients treated with volanesorsen vs. 24% of placebo patients. Reductions to below 100 x 109/L were observed in 47% of patients treated with volanesorsen compared with none of the patients in the placebo group. Bleeding secondary to low platelets may occur. Careful monitoring for thrombocytopenia is important during treatment and recommendations for adjustments to monitoring frequency and dosing are shown in table 20 (package insert). Platelet counts recover following drug discontinuation and administration of glucocorticoids where medically indicated.

 

Table 20.  Volanesorsen Monitoring and Treatment Recommendations

Platelet Count (x109/L)

Dose

Monitoring Frequency

Normal (≥140)

Starting dose: Weekly

After 3 months: Every 2 weeks

Every 2 weeks

100-139

Every 2 weeks

Weekly

75-99

Pause treatment for ≥4 weeks and resume treatment after platelet levels ≥ 100 x 109/L

Weekly

50-74

Pause treatment for ≥4 weeks and resume treatment after platelet levels ≥ 100 x 109/L

Every 2-3 days

Less than 50

Discontinue treatment

Glucocorticoids recommended

Daily

 

Renal toxicity has been observed after administration of volanesorsen. Monitoring for evidence of nephrotoxicity by routine urine dipstick is recommended on a quarterly basis. In the case of a positive assessment, one should measure serum creatinine and collect a 24-hour urine collection to quantify the proteinuria and assess creatinine clearance. Treatment should be discontinued if proteinuria ≥ 500 mg/24 hours is present, or an increase in serum creatinine ≥ 0.3 mg/dL that is >ULN occurs, or the creatinine clearance estimated by the CKD-EPI equation is ≤ 30 mL/min/1.73m2(package insert).

 

Elevations of liver enzymes have been observed after the administration of volanesorsen. Serum liver enzymes and bilirubin should be monitored every 3 months. Treatment should be discontinued if there is a single increase in ALT or AST > 8 x ULN, or an increase > 5 x ULN, which persists for ≥ 2 weeks, or lesser increases in ALT or AST that are associated with total bilirubin > 2 x ULN or INR > 1.5 (package insert).

 

As expected, injection site reactions are frequently observed and were reported in 82% of patients (erythema, pain, pruritus, or local swelling) (package insert).

 

CONTRAINDICATIONS

Treatment should not be initiated in patients with thrombocytopenia (platelet count <140 x 109/L). Safety and efficacy have not been established in patients with severe renal disease or patients with hepatic impairment (package insert). There are no data on the use of volanesorsen in pregnant women and it is preferable to avoid the use of volanesorsen during pregnancy (package insert). However, there have been 2 instances where volanesorsen was used during pregnancy in patients with familial chylomicronemia syndrome and “In both case, fetal health was maintained throughout pregnancy, fetal scans revealed no anomalies, and planned C-sections delivered healthy babies without congenital issues” (266).

 

DRUG INTERACTIONS 

Discontinuation of antiplatelet drugs/NSAIDs/anticoagulants should be considered for

platelet levels < 75 x 109/L. Treatment with these products must be discontinued at platelet levels < 50 x 109/L. No other drug interactions have been described (package insert)

 

CONCLUSIONS 

Volanesorsen is a useful drug in patients with the FCS, particularly in patients who have repeated episodes of acute pancreatitis. Whether volanesorsen will be useful for the treatment of less severe hypertriglyceridemia remains to be determined, particularly given its potential side effects. It is likely that the use of this drug will be very limited as olezarsen is a very similar drug without the side effect of thrombocytopenia (see below).

 

Olezarsen

INTRODUCTION 

Olezarsen (Tryngolza) is an antisense oligonucleotide that reduces apo C-III production by binding to Apo C-3 mRNA and inducing its degradation. Olezarsen has the same nucleotide sequence and backbone chemical composition as volanesorsen and differs from it only through conjugation with GalNAc3, which facilitates uptake by the liver allowing for the administration of lower doses. It is approved in the US for the treatment of patients with Familial Chylomicronemia Syndrome (FCS).

 

EFFECT OF OLEZARSEN ON LIPID AND LIPOPROTEIN LEVELS  

Familial Chylomicronemia Syndrome 

Patients were randomized to placebo (n=23), olezarsen 50mg (n=21), or olezarsen 80mg (n=22) every 4 weeks (267). The mean TG levels were approximately 2600mg/dL. As expected, the Apo C-III level in the 80mg group decreased by 73.7% and in the 50mg group by 65.5%. At 6 months TG levels compared to placebo decreased by 43.5% with the 80mg dose (95% CI −69.1 to −17.9; P<0.001) and by 22.4% with the 40mg dose (95% CI −47.2 to 2.5; P = 0.08). At 12 months TG levels compared to placebo were decreased by 59% in the 80mg olezarsen group (95% CI, −90.7 to −28.1) and 44% in the 50mg olezarsen group (95% CI, −73.9 to −13.7). In the 80mg dose LDL-C increased from 22.8mg/dL to 37.6mg/dL and the Apo B increased from 58mg/dL to 69mg/dL while non-HDL-C decreased by 24%. By 53 weeks, 11 episodes of acute pancreatitis had occurred in the placebo group and 1 episode in the olezarsen group (RR 0.12; 95% CI, 0.02 to 0.66).

 

Hypertriglyceridemia

Patients with either moderate hypertriglyceridemia (TG 150-499mg/dL plus elevated cardiovascular risk or severe hypertriglyceridemia (TG> 500mg/dL) were randomized to placebo (n=39), 50mg olezarsen (n= 58), or 80mg olezarsen (n= 57) monthly (268). The median TG level was between 230-250mg/dL. After 6 months TG levels compared to placebo were decreased by 49% by the 50mg dose and 53% by the 80mg dose. Additionally, non-HDL-C levels were decreased by 23% and Apo B levels by 19% in patients treated with olezarsen 80mg with no significant change in LDL-C levels. Notably, HDL-C levels increased by 39% in patients treated with olezarsen 80mg.

 

In a study of patients with TG levels between 200-500mg/dL the effect of 50mg olezarsen every 4 weeks on NMR-derived lipoprotein particle size and concentration was determined (269). TG rich lipoprotein particles decreased (51%) with the greatest decrease in large and medium size TG rich lipoprotein particles (approx. 60-70% decrease). The total number of LDL particles was unchanged but there was an increase in large LDL particles and a decrease in small LDL particles. Total HDL particles increased due to an increase in small HDL.

 

 MECHANISMS ACCOUNTING FOR THE OLEZARSEN INDUCED LIPID EFFECTS   

See the section on the Mechanisms Accounting for the Volanesorsen  Induced Lipid Effects described above.

 

DRUG ADMINISTRATION

The recommended dosage of olezarsen is 80mg administered subcutaneously monthly into the abdomen or front of the thigh.

 

 EFFECT ON CLINICAL OUTCOMES

The clinical trial with olezarsen in patients with FCS described above observed a decrease in episodes of pancreatitis. This is similar to the results seen with volanesorsen (described above in the volanesorsen section) and together these results indicate that decreasing TG levels via reducing Apo C-III levels is an effective treatment for preventing pancreatitis in FCS patients.  

 

The effect of olezarsen on cardiovascular disease has not been determined. However, epidemiologic studies have demonstrated that increased Apo C-III levels are associated with an increased risk of cardiovascular events (259-261)and coronary artery calcification (262). Moreover, carriers of rare heterozygous loss-of-function mutations in Apo C-III have reduced TG levels and reduced cardiovascular disease risk (263-265). One can speculate that lowering Apo C-III and TG levels with olezarsen will have beneficial effects on the development of cardiovascular disease.

 

SIDE EFFECTS

Hypersensitivity reactions, including symptoms of bronchospasm, diffuse erythema, facial swelling, urticaria, chills, and myalgias, requiring medical treatment have occurred (package insert). As expected, injection site reactions may occur. Additionally, arthralgias were noted in 9% of olezarsen treated patients and 0% of placebo treated patients (package insert).

 

Similar to volanesorsen there is a decrease in platelet levels, but the decrease is much less. The mean percent change in platelet count was -10% and no patients with FCS treated with olezarsen had a platelet count <50,000/mm3 (package insert). There was no major bleeding events associated with a low platelet count and the patients experiencing a bleeding adverse event was similar in the olezarsen and placebo groups (package insert).

 

Small increases in average fasting glucose (≤17 mg/dL) and HbA1c (<0.2%) were observed over time with olezarsen treatment in the FCS population. The incidence of hyperglycemia (defined as adverse events, new antidiabetic medication, or laboratory values) was higher in olezarsen-treated patients without a medical history of diabetes at baseline (52%) compared to placebo-treated patients (35%) (package insert).

 

CONTRAINDICATIONS

There is no data on the use of olezarsen during pregnancy and lactation.

 

While not discussed in the package insert it is the author’s opinion that in patients with a low platelet count (<75,000/mm3) one should either avoid the use of olezarsen or very closely monitor platelet levels.  

 

DRUG INTERACTIONS

There are no described drug interactions.

 

CONCLUSIONS

Olezarsen is a useful drug to lower TG levels in patients with the FCS, particularly in patients who have repeated episodes of acute pancreatitis. Because it doesn’t have a major adverse effect on platelets it will replace volanesorsen for lowering TG levels in patients with FCS. The drug is not currently approved for the treatment of multifactorial chylomicronemia syndrome (MFCS) but one would anticipate that it would be useful in patients with MFCS with recurrent pancreatitis refractory to the usual treatments. Whether olezarsen will be useful for the treatment of patients with less severe hypertriglyceridemia, who are not at high risk for pancreatitis, will depend on whether studies demonstrate that olezarsen reduces cardiovascular events.  

 

ALIPOGENE TIPARVOVEC (GLYBERA)

Introduction

Alipogene tiparvovec is a gene therapy that was approved in Europe for adult patients with FCS due to lipoprotein lipase deficiency and a history of multiple or severe episodes of pancreatitis who have failed dietary therapy (270). The diagnosis of FCS with loss of function mutations in lipoprotein lipase must be confirmed by genetic testing but patients need to have detectable levels of lipoprotein lipase protein (to avoid immunological reactions) (270). Alipogene tiparvovec is an adeno-associated virus gene therapy that results in the expression of the naturally occurring S447X variant of the human lipoprotein lipase gene that has increased lipoprotein lipase activity compared to “normal” lipoprotein lipase (270). Approximately 20% of Caucasians express this gene variant and these individuals have lower plasma TG levels and an increase in HDL-C levels (271,272). Because of the lack of long-term efficacy alipogene tiparvovec is no longer clinically available.

 

Effect of Alipogene Tiparvovec on Lipid and Lipoprotein Levels 

In patients with lipoprotein lipase deficiency and plasma TG levels > 880mg/d, treatment with alipogene tiparvovec resulted in an approximately 40% decrease in fasting plasma TGs with half of the patients having > 40% decrease in fasting plasma TG levels at 3-12 weeks post treatment (273). By week 16-26, fasting TG levels returned to baseline values but chylomicron levels were reduced (273). While fasting TG levels returned to baseline, postprandial TG levels were reduced by approximately 60% suggesting that there are long term effects that are not reflected by fasting TG levels (274). In fact, in some patients treated with alipogene tiparvovec, lipoprotein lipase expression was demonstrated in muscle biopsies at 26 weeks (273).

 

Mechanisms Accounting for the Alipogene Tiparvovec Induced Lipid Effects 

Gene therapy with alipogene tiparvovec results in the expression of lipoprotein lipase in muscle, which accelerates the clearance of chylomicrons (270,273). Studies have demonstrated a reduced peak level and a reduced area under the curve for postprandial chylomicrons (274).

 

Drug Administration and Pharmacokinetics 

Alipogene tiparvovec is administered by multiple intramuscularly injections in the legs given at a single visit (270). The number of injections is > 40 and therefore the injections are given under spinal anesthesia (273). From 3 days before administration until 12 weeks after administration patients may be treated with cyclosporine (3mg/kg/day) and mycophenolate (2g/day) and on the day of administration methylprednisolone 1mg/kg) may be administered IV (270,273).

 

Effect on Clinical Outcomes

In patients with FCS and lipoprotein lipase deficiency the outcome of interest is pancreatitis. In a retrospective study of 19 patients treated with alipogene tiparvovec an approximate 50% decrease in pancreatitis was observed (275). In addition, patients treated with alipogene tiparvovec have reported benefits including discontinuing lipoprotein apheresis, increased energy, and the ability to liberalize their diet, which is difficult to comply with due to the marked limitation in dietary fat (273,276).

 

Conclusions 

Alipogene tiparvovec may be a useful treatment for the rare patient with FCS due to lipoprotein lipase deficiency but the lack of long-term efficacy and the difficulty of giving the required injections led to this drug being removed from the market. Additionally, the development of inhibitors of Apo CIII described above has diminished the usefulness of alipogene tiparvovec for the treatment of patients with FCS due to lipoprotein lipase deficiency.

 

EVINACUMAB (EVKEEZA

Introduction

Evinacumab is a human monoclonal antibody against angiopoietin-like protein 3 (ANGPTL3). It is approved for the treatment of Homozygous Familial Hypercholesterolemia (see Endotext chapter on Cholesterol Lowering Drugs (6)). Evinacumab decreases LDL-C levels by mechanisms independent of LDL receptor activity. The recommended dose of evinacumab is 15 mg/kg administered by intravenous infusion over 60 minutes every 4 weeks. While it is not approved for TG lowering it is effective in lowering TG levels.

 

Effect on Evinacumab on TG Levels

For information on the effect of evinacumab on LDL-C levels see the Endotext chapter on “Cholesterol Lowering Drugs (6). Because of the difficulty in treating severe hypertriglyceridemia, I have focused on evinacumab in this group of patients. Phase 1 studies have shown that various doses of evinacumab lower TG levels in individuals with TG levels between 150-450mg/dL with maximal effects of approximately 80% reductions (277). Additionally. In patients treated with evinacumab to lower LDL-C, TG levels were reduced even though the baseline TG levels were < 150mg/dL (278).  As one would expect LDL-C and HDL-C levels also decreased in these individuals with normal or modestly elevated TG levels.

 

A phase 2 study evaluated evinacumab in three groups of patients with severe hypertriglyceridemia; FCS patients with bi-allelic loss-of-function mutations in the lipoprotein lipase (LPL) pathway (n = 17), multifactorial chylomicronemia syndrome (MFCS) with heterozygous loss-of-function LPL pathway mutations (n = 15), and MFCS without LPL pathway mutations (n = 19) (279). Patients were randomized to evinacumab 15 mg/kg IV or placebo every 4 weeks over 12-weeks. The effect on TG and non-HDL-C levels are shown in table 21. Despite the very small number of patients the results suggest that evinacumab can lower TG levels in patients with MFCS but not in patients with FCS. This result Is not surprising based on the proposed mechanism of action of inhibiting ANGPTL3 (see below).

 

Table 21. Change in Lipid/Lipoprotein Parameters

 

FCS

MFCS/heterozygous LPL pathway mutations

MFCS/ without LPL pathway mutations

 

Placebo (n=5)

Evinacumab (n=12)

Placebo (n=8)

Evinacumab ((n=9)

Placebo (n=5)

Evinacumab (n=14)

Fasting TG

Baseline

3,918mg/dL

3,140mg/dL

1,351mg/dL

1,238mg/dL

1,030mg/dL

1,917mg/dL

% change

−22.9

−27.7

9.4

−64.8*

80.9

−81.7**

Non-HDL-C

Baseline

356mg/dL

345mg/dL

202mg/dL

220mg/dL

209mg/dL

296mg/dL

% change

−15.2

−34.2^

8.0

−31.0^^

48.4

−38.5^^^

*p= 0.0076, **p= 0.0418, ^p= 0.0074, ^^p= 0.0677, ^^^p= 0.1016.

FCS= familial chylomicronemia syndrome, MFCS= multifactorial chylomicronemia syndrome.

 

Mechanism Accounting for the Evinacumab Induced Decrease in TG

ANGPTL3 inhibits lipoprotein lipase (LPL) activity thereby slowing the clearance of VLDL and chylomicrons resulting in an increase in plasma triglyceride levels (280,281). Mice deficient in ANGPTL3 have lower plasma triglyceride levels while mice overexpressing ANGPTL3 have elevated plasma triglyceride levels (281). Evinacumab by inhibiting the ability of ANGPTL3 to decrease LPL activity results in an increases in LPL activity, which accelerates the clearance of TG rich lipoproteins decreasing plasma triglyceride levels (281). In patients with FCS who lack a functioning lipoprotein lipase clearance system evinacumab will not accelerate the clearance of TG rich lipoproteins. For information on the mechanism by which evinacumab lowers LDL-C and HDL-C see the Endotext chapter on “Cholesterol Lowering Drugs” (6).

 

Pharmacokinetics and Drug Interactions

There are no significant drug interactions.

 

Effect of Evinacumab on Clinical Outcomes

There are no cardiovascular outcome studies.

 

Homozygosity for loss-of-function mutations in ANGPTL3 is associated with significantly lower plasma levels of LDL-C, HDL-C, and triglycerides (familial combined hypolipidemia) (281,282). Heterozygous carriers of loss-of-function mutations in ANGPTL3, which occur at a frequency of about 1:300, have significantly lower total cholesterol, LDL-C, and triglyceride levels than noncarriers (281). Moreover, patients carrying loss-of-function variants in ANGPTL3 have a significantly lower risk of coronary artery disease (283,284). Additionally, in an animal model of atherosclerosis treatment with evinacumab decreased atherosclerotic lesion area and necrotic content (283). Taken together these observations suggest that inhibiting ANGPTL3 with evinacumab will reduce cardiovascular disease.

 

Side Effects

Serious hypersensitivity reactions have occurred with evinacumab. In clinical trials, 1 (1%) of evinacumab treated patients experienced anaphylaxis vs. 0% of patients who received placebo (package insert).

 

Contraindications

Based on animal studies, evinacumab may cause fetal harm when administered to pregnant patients (package insert). Patients should be advised of the potential risks to the fetus of pregnancy. Patients who may become pregnant should be advised to use effective contraception during treatment with evinacumab and for at least 5 months following the last dose.

 

Summary

Evinacumab lowers triglyceride levels in patients with severe hypertriglyceridemia due to multifactorial chylomicronemia syndrome and could be useful in selected patients with hypertriglyceridemia. Note it is not approved to treat severe hypertriglyceridemia and administration intravenously every 4 weeks will limit its use to special circumstances.

 

CLINICAL USE OF TRIGLYCERIDE LOWERING DRUGS 

Marked Hypertriglyceridemia (>500mg/dL): Prevention of Pancreatitis

In patients with marked elevations in TG levels (>500-1000mg/dL) the major concern is an increased risk of pancreatitis (285,286). Because of this increased risk it is imperative to lower TG levels. The initial steps are to 1) treat any disease states that could be leading to an elevation in plasma TG levels, 2) if possible, discontinue any drugs that could be leading to an elevation in plasma TGs, and 3) initiate lifestyle changes (Table 22) (3,287).

 

Table 22. Causes of Secondary Hypertriglyceridemia

Lifestyle

Diseases/Disorders

Medications

Excess calories

Poorly controlled diabetes

Corticosteroids

Excess dietary fat intake

Hypothyroidism

Oral estrogen

Excess simple sugars

Renal disease

Retinoic acid derivatives

Overweight/Obesity

HIV infection

Beta adrenergic blockers

Alcohol intake

Cushing’s syndrome

Thiazide diuretics

Pregnancy

Acromegaly

Protease inhibitors

Decreased physical activity

Growth hormone deficiency

Bile acid sequestrants

 

Lipodystrophy

Anti-psychotic drugs

 

Paraproteinemia

Cyclosporine/tacrolimus

 

Nephrotic Syndrome

L-asparaginase

 

Inflammatory Disorders

Interferon alpha 2b

 

Pregnancy

Cyclophosphamide

 

These initial steps are often sufficient to result in marked reductions in plasma TG levels eliminating the need for TG lowering medications. For example, in patients with diabetes in very poor glycemic control, treatment that results in good glycemic control can markedly lower TG levels (288). Similarly, the restoration of euthyroidism in a hypothyroid patient can also markedly lower lipid levels (289). If these initial steps do not result in a lowering of TGs into an acceptable range, then the use of drugs to lower plasma TG levels is indicated. There have been no randomized controlled trials demonstrating that treatment diminishes pancreatitis but most experienced clinicians believe that lowering TG levels to below 500-1000mg/dL reduces the risk of developing pancreatitis (285,286). The addition of either fibrates or omega-3 fatty acids to lifestyle changes are commonly used to lower markedly elevated TG levels. In some patients, combination therapy is required to lower plasma TGs to an acceptable range.

 

The approach described above is ineffective in most patients with FCS. In patients with FCS dietary fat calories need to be severely restricted to approximately 5-20% of calories, which is difficult for many patients to comply with. Additionally, patients with FCS often respond poorly to the usual drugs (fibrates, omega-3 fatty acids, niacin) used to lower TG levels. The development of Apo CIII inhibitors has resulted in drugs that are effective in lowering TG levels and preventing pancreatitis in patients with FCS.

 

Moderate Hypertriglyceridemia (150-500mg/dL): Prevention of Cardiovascular Disease  

In the era of statin therapy, it is uncertain whether lowering TG levels in patients on statin therapy will further reduce cardiovascular events. As discussed in detail in the sections on individual drugs, the studies carried out so far have not shown that adding niacin or fibrates to statin therapy is beneficial with regards to cardiovascular disease. As also discussed, some of the available studies have major limitations because many of the patients in these outcome studies did not have substantial elevations in TGs. Nevertheless, at this time there is little enthusiasm for adding either fibrates or niacin to statins to lower the risk of cardiovascular events.

 

Notably, the REDUCE-IT trial, which tested the effect of high dose EPA (4 grams per day) in patients with elevated TG levels on statin therapy demonstrated a 25% reduction in cardiovascular events. However, the decrease in cardiovascular events was considerably greater than one would expect based on the reduction in TG levels suggesting that the decrease in cardiovascular events was not solely due to lowering TG levels and that other effects of EPA likely played a role. Additionally, as discussed in detail in the section discussing cardiovascular trials in the omega-3-fatty acid section there are concerns that the use of mineral oil as the placebo in the REDUCE-IT trial may have caused harmful effects leading to increased cardiovascular events in the placebo group. Thus, the role of EPA in reducing cardiovascular events is debated with some experts feeling that it is beneficial while others feeling that the evidence for benefit is not definitive. Clearly additional studies are required to resolve this controversy. In the meantime, clinicians will need to use their clinical judgement on whether to treat patients with modest elevations in TG levels with EPA (icosapent ethyl; Vascepa) balancing the potential benefits of treatment vs. the potential side effects.

 

Some guidelines use non-HDL-C as a therapeutic goal and thus the use of omega-3-fatty acids and fibrates will often be required to lower TG levels to achieve these non-HDL-C goals. In contrast, other guidelines focus on LDL-C levels and the use of statins and thus de-emphasize the use of omega-3-fatty acids and fibrates. Given the absence of definitive data one needs to use clinical judgement. Consideration should also be given to the use of fenofibrate in hypertriglyceridemic patients with diabetes at high risk for microvascular disease given the studies that have shown that fibrates reduce the microvascular complications of diabetes. Because of the side effects of niacin, the use of niacin to lower TG levels has markedly diminished. In the past we used to use niacin to lower both LDL-C levels and TGs but with the availability of ezetimibe, bempedoic acid, and PCSK9 inhibitors the need to use niacin to lower LDL-C levels has markedly decreased.

 

ACKNOWLEDGEMENTS

This work was supported by grants from the Northern California Institute for Research and Education.

 

REFERENCES

  1. Messersmith A, Purbey R, Tannock LR. Risk of Fasting and Non-Fasting Hypertriglyceridemia in Coronary Vascular Disease and Pancreatitis. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2025.
  2. Feingold KR. Pancreatitis Secondary to Hypertriglyceridemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  3. Feingold KR. Approach to the Patient with Dyslipidemia. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA) 2023.
  4. Feingold KR. Obesity and Dyslipidemia. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  5. Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  6. Feingold KR. Cholesterol Lowering Drugs. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA) 2024.
  7. Altschul R, Hoffer A, Stephen JD. Influence of nicotinic acid on serum cholesterol in man. Arch Biochem Biophys 1955; 54:558-559
  8. Cooper DL, Murrell DE, Roane DS, Harirforoosh S. Effects of formulation design on niacin therapeutics: mechanism of action, metabolism, and drug delivery. Int J Pharm 2015; 490:55-64
  9. Song WL, FitzGerald GA. Niacin, an old drug with a new twist. J Lipid Res 2013; 54:2586-2594
  10. Julius U. Niacin as antidyslipidemic drug. Can J Physiol Pharmacol 2015; 93:1043-1054
  11. Morgan JM, Capuzzi DM, Baksh RI, Intenzo C, Carey CM, Reese D, Walker K. Effects of extended-release niacin on lipoprotein subclass distribution. Am J Cardiol 2003; 91:1432-1436
  12. Birjmohun RS, Hutten BA, Kastelein JJ, Stroes ES. Efficacy and safety of high-density lipoprotein cholesterol-increasing compounds: a meta-analysis of randomized controlled trials. J Am Coll Cardiol 2005; 45:185-197
  13. Knopp RH, Alagona P, Davidson M, Goldberg AC, Kafonek SD, Kashyap M, Sprecher D, Superko HR, Jenkins S, Marcovina S. Equivalent efficacy of a time-release form of niacin (Niaspan) given once-a-night versus plain niacin in the management of hyperlipidemia. Metabolism 1998; 47:1097-1104
  14. Sahebkar A, Reiner Z, Simental-Mendia LE, Ferretti G, Cicero AF. Effect of extended-release niacin on plasma lipoprotein(a) levels: A systematic review and meta-analysis of randomized placebo-controlled trials. Metabolism 2016; 65:1664-1678
  15. Goldberg AC. A meta-analysis of randomized controlled studies on the effects of extended-release niacin in women. Am J Cardiol 2004; 94:121-124
  16. Ballantyne CM, Davidson MH, McKenney J, Keller LH, Bajorunas DR, Karas RH. Comparison of the safety and efficacy of a combination tablet of niacin extended release and simvastatin vs simvastatin monotherapy in patients with increased non-HDL cholesterol (from the SEACOAST I study). Am J Cardiol 2008; 101:1428-1436
  17. Fazio S, Guyton JR, Polis AB, Adewale AJ, Tomassini JE, Ryan NW, Tershakovec AM. Long-term safety and efficacy of triple combination ezetimibe/simvastatin plus extended-release niacin in patients with hyperlipidemia. Am J Cardiol 2010; 105:487-494
  18. Shearer GC, Pottala JV, Hansen SN, Brandenburg V, Harris WS. Effects of prescription niacin and omega-3 fatty acids on lipids and vascular function in metabolic syndrome: a randomized controlled trial. J Lipid Res 2012; 53:2429-2435
  19. Pradhan B, Neopane A, Karki S, Karki DB. Effectiveness of nicotinic acid and bezafibrate alone and in combination for reducing serum triglyceride level. Kathmandu Univ Med J (KUMJ) 2005; 3:411-414
  20. Balasubramanyam A, Coraza I, Smith EO, Scott LW, Patel P, Iyer D, Taylor AA, Giordano TP, Sekhar RV, Clark P, Cuevas-Sanchez E, Kamble S, Ballantyne CM, Pownall HJ. Combination of niacin and fenofibrate with lifestyle changes improves dyslipidemia and hypoadiponectinemia in HIV patients on antiretroviral therapy: results of "heart positive," a randomized, controlled trial. J Clin Endocrinol Metab 2011; 96:2236-2247
  21. Carlson LA. Studies on the effect of nicotinic acid on catecholamine stimulated lipolysis in adipose tissue in vitro. Acta Med Scand 1963; 173:719-722
  22. Carlson LA, Oro L. The effect of nicotinic acid on the plasma free fatty acid; demonstration of a metabolic type of sympathicolysis. Acta Med Scand 1962; 172:641-645
  23. Kamanna VS, Ganji SH, Kashyap ML. Recent advances in niacin and lipid metabolism. Curr Opin Lipidol 2013; 24:239-245
  24. Tunaru S, Kero J, Schaub A, Wufka C, Blaukat A, Pfeffer K, Offermanns S. PUMA-G and HM74 are receptors for nicotinic acid and mediate its anti-lipolytic effect. Nat Med 2003; 9:352-355
  25. Wise A, Foord SM, Fraser NJ, Barnes AA, Elshourbagy N, Eilert M, Ignar DM, Murdock PR, Steplewski K, Green A, Brown AJ, Dowell SJ, Szekeres PG, Hassall DG, Marshall FH, Wilson S, Pike NB. Molecular identification of high and low affinity receptors for nicotinic acid. J Biol Chem 2003; 278:9869-9874
  26. Wang W, Basinger A, Neese RA, Christiansen M, Hellerstein MK. Effects of nicotinic acid on fatty acid kinetics, fuel selection, and pathways of glucose production in women. Am J Physiol Endocrinol Metab 2000; 279:E50-59
  27. Lauring B, Taggart AK, Tata JR, Dunbar R, Caro L, Cheng K, Chin J, Colletti SL, Cote J, Khalilieh S, Liu J, Luo WL, Maclean AA, Peterson LB, Polis AB, Sirah W, Wu TJ, Liu X, Jin L, Wu K, Boatman PD, Semple G, Behan DP, Connolly DT, Lai E, Wagner JA, Wright SD, Cuffie C, Mitchel YB, Rader DJ, Paolini JF, Waters MG, Plump A. Niacin lipid efficacy is independent of both the niacin receptor GPR109A and free fatty acid suppression. Sci Transl Med 2012; 4:148ra115
  28. Ganji SH, Tavintharan S, Zhu D, Xing Y, Kamanna VS, Kashyap ML. Niacin noncompetitively inhibits DGAT2 but not DGAT1 activity in HepG2 cells. J Lipid Res 2004; 45:1835-1845
  29. Grundy SM, Mok HY, Zech L, Berman M. Influence of nicotinic acid on metabolism of cholesterol and triglycerides in man. J Lipid Res 1981; 22:24-36
  30. Blond E, Rieusset J, Alligier M, Lambert-Porcheron S, Bendridi N, Gabert L, Chetiveaux M, Debard C, Chauvin MA, Normand S, Roth H, de Gouville AC, Krempf M, Vidal H, Goudable J, Laville M, Niacin" Study G. Nicotinic acid effects on insulin sensitivity and hepatic lipid metabolism: an in vivo to in vitro study. Horm Metab Res 2014; 46:390-396
  31. Hernandez C, Molusky M, Li Y, Li S, Lin JD. Regulation of hepatic ApoC3 expression by PGC-1beta mediates hypolipidemic effect of nicotinic acid. Cell Metab 2010; 12:411-419
  32. Zhang LH, Kamanna VS, Zhang MC, Kashyap ML. Niacin inhibits surface expression of ATP synthase beta chain in HepG2 cells: implications for raising HDL. J Lipid Res 2008; 49:1195-1201
  33. Jin FY, Kamanna VS, Kashyap ML. Niacin decreases removal of high-density lipoprotein apolipoprotein A-I but not cholesterol ester by Hep G2 cells. Implication for reverse cholesterol transport. Arterioscler Thromb Vasc Biol 1997; 17:2020-2028
  34. Blum CB, Levy RI, Eisenberg S, Hall M, 3rd, Goebel RH, Berman M. High density lipoprotein metabolism in man. J Clin Invest 1977; 60:795-807
  35. Shepherd J, Packard CJ, Patsch JR, Gotto AM, Jr., Taunton OD. Effects of nicotinic acid therapy on plasma high density lipoprotein subfraction distribution and composition and on apolipoprotein A metabolism. J Clin Invest 1979; 63:858-867
  36. Lamon-Fava S, Diffenderfer MR, Barrett PH, Buchsbaum A, Nyaku M, Horvath KV, Asztalos BF, Otokozawa S, Ai M, Matthan NR, Lichtenstein AH, Dolnikowski GG, Schaefer EJ. Extended-release niacin alters the metabolism of plasma apolipoprotein (Apo) A-I and ApoB-containing lipoproteins. Arterioscler Thromb Vasc Biol 2008; 28:1672-1678
  37. Rubic T, Trottmann M, Lorenz RL. Stimulation of CD36 and the key effector of reverse cholesterol transport ATP-binding cassette A1 in monocytoid cells by niacin. Biochem Pharmacol 2004; 67:411-419
  38. Zhang LH, Kamanna VS, Ganji SH, Xiong XM, Kashyap ML. Niacin increases HDL biogenesis by enhancing DR4-dependent transcription of ABCA1 and lipidation of apolipoprotein A-I in HepG2 cells. J Lipid Res 2012; 53:941-950
  39. van der Hoorn JW, de Haan W, Berbee JF, Havekes LM, Jukema JW, Rensen PC, Princen HM. Niacin increases HDL by reducing hepatic expression and plasma levels of cholesteryl ester transfer protein in APOE*3Leiden.CETP mice. Arterioscler Thromb Vasc Biol 2008; 28:2016-2022
  40. Seed M, O'Connor B, Perombelon N, O'Donnell M, Reaveley D, Knight BL. The effect of nicotinic acid and acipimox on lipoprotein(a) concentration and turnover. Atherosclerosis 1993; 101:61-68
  41. Croyal M, Ouguerram K, Passard M, Ferchaud-Roucher V, Chetiveaux M, Billon-Crossouard S, de Gouville AC, Lambert G, Krempf M, Nobecourt E. Effects of Extended-Release Nicotinic Acid on Apolipoprotein (a) Kinetics in Hypertriglyceridemic Patients. Arterioscler Thromb Vasc Biol 2015; 35:2042-2047
  42. Chennamsetty I, Kostner KM, Claudel T, Vinod M, Frank S, Weiss TS, Trauner M, Kostner GM. Nicotinic acid inhibits hepatic APOA gene expression: studies in humans and in transgenic mice. J Lipid Res 2012; 53:2405-2412
  43. Pieper JA. Overview of niacin formulations: differences in pharmacokinetics, efficacy, and safety. Am J Health Syst Pharm 2003; 60:S9-14; quiz S25
  44. Clofibrate and niacin in coronary heart disease. JAMA 1975; 231:360-381
  45. Canner PL, Berge KG, Wenger NK, Stamler J, Friedman L, Prineas RJ, Friedewald W. Fifteen year mortality in Coronary Drug Project patients: long-term benefit with niacin. J Am Coll Cardiol 1986; 8:1245-1255
  46. Canner PL, Furberg CD, Terrin ML, McGovern ME. Benefits of niacin by glycemic status in patients with healed myocardial infarction (from the Coronary Drug Project). Am J Cardiol 2005; 95:254-257
  47. Canner PL, Furberg CD, McGovern ME. Benefits of niacin in patients with versus without the metabolic syndrome and healed myocardial infarction (from the Coronary Drug Project). Am J Cardiol 2006; 97:477-479
  48. Carlson LA, Rosenhamer G. Reduction of mortality in the Stockholm Ischaemic Heart Disease Secondary Prevention Study by combined treatment with clofibrate and nicotinic acid. Acta Med Scand 1988; 223:405-418
  49. Carlson LA, Danielson M, Ekberg I, Klintemar B, Rosenhamer G. Reduction of myocardial reinfarction by the combined treatment with clofibrate and nicotinic acid. Atherosclerosis 1977; 28:81-86
  50. AIM-HIGH Investigators, Boden WE, Probstfield JL, Anderson T, Chaitman BR, Desvignes-Nickens P, Koprowicz K, McBride R, Teo K, Weintraub W. Niacin in patients with low HDL cholesterol levels receiving intensive statin therapy. N Engl J Med 2011; 365:2255-2267
  51. Guyton JR, Slee AE, Anderson T, Fleg JL, Goldberg RB, Kashyap ML, Marcovina SM, Nash SD, O'Brien KD, Weintraub WS, Xu P, Zhao XQ, Boden WE. Relationship of lipoproteins to cardiovascular events: the AIM-HIGH Trial (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides and Impact on Global Health Outcomes). J Am Coll Cardiol 2013; 62:1580-1584
  52. Hps Thrive Collaborative Group, Landray MJ, Haynes R, Hopewell JC, Parish S, Aung T, Tomson J, Wallendszus K, Craig M, Jiang L, Collins R, Armitage J. Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med 2014; 371:203-212
  53. Song WL, Stubbe J, Ricciotti E, Alamuddin N, Ibrahim S, Crichton I, Prempeh M, Lawson JA, Wilensky RL, Rasmussen LM, Pure E, FitzGerald GA. Niacin and biosynthesis of PGD(2)by platelet COX-1 in mice and humans. J Clin Invest 2012; 122:1459-1468
  54. Cashin-Hemphill L, Mack WJ, Pogoda JM, Sanmarco ME, Azen SP, Blankenhorn DH. Beneficial effects of colestipol-niacin on coronary atherosclerosis. A 4-year follow-up. JAMA 1990; 264:3013-3017
  55. Brown G, Albers JJ, Fisher LD, Schaefer SM, Lin JT, Kaplan C, Zhao XQ, Bisson BD, Fitzpatrick VF, Dodge HT. Regression of coronary artery disease as a result of intensive lipid-lowering therapy in men with high levels of apolipoprotein B. N Engl J Med 1990; 323:1289-1298
  56. Kane JP, Malloy MJ, Ports TA, Phillips NR, Diehl JC, Havel RJ. Regression of coronary atherosclerosis during treatment of familial hypercholesterolemia with combined drug regimens. JAMA 1990; 264:3007-3012
  57. Brown BG, Zhao XQ, Chait A, Fisher LD, Cheung MC, Morse JS, Dowdy AA, Marino EK, Bolson EL, Alaupovic P, Frohlich J, Albers JJ. Simvastatin and niacin, antioxidant vitamins, or the combination for the prevention of coronary disease. N Engl J Med 2001; 345:1583-1592
  58. Whitney EJ, Krasuski RA, Personius BE, Michalek JE, Maranian AM, Kolasa MW, Monick E, Brown BG, Gotto AM, Jr. A randomized trial of a strategy for increasing high-density lipoprotein cholesterol levels: effects on progression of coronary heart disease and clinical events. Ann Intern Med 2005; 142:95-104
  59. Sacks FM, Pasternak RC, Gibson CM, Rosner B, Stone PH. Effect on coronary atherosclerosis of decrease in plasma cholesterol concentrations in normocholesterolaemic patients. Harvard Atherosclerosis Reversibility Project (HARP) Group. Lancet 1994; 344:1182-1186
  60. Taylor AJ, Lee HJ, Sullenberger LE. The effect of 24 months of combination statin and extended-release niacin on carotid intima-media thickness: ARBITER 3. Curr Med Res Opin 2006; 22:2243-2250
  61. Taylor AJ, Sullenberger LE, Lee HJ, Lee JK, Grace KA. Arterial Biology for the Investigation of the Treatment Effects of Reducing Cholesterol (ARBITER) 2: a double-blind, placebo-controlled study of extended-release niacin on atherosclerosis progression in secondary prevention patients treated with statins. Circulation 2004; 110:3512-3517
  62. Taylor AJ, Villines TC, Stanek EJ, Devine PJ, Griffen L, Miller M, Weissman NJ, Turco M. Extended-release niacin or ezetimibe and carotid intima-media thickness. N Engl J Med 2009; 361:2113-2122
  63. Thoenes M, Oguchi A, Nagamia S, Vaccari CS, Hammoud R, Umpierrez GE, Khan BV. The effects of extended-release niacin on carotid intimal media thickness, endothelial function and inflammatory markers in patients with the metabolic syndrome. Int J Clin Pract 2007; 61:1942-1948
  64. Lee JM, Robson MD, Yu LM, Shirodaria CC, Cunnington C, Kylintireas I, Digby JE, Bannister T, Handa A, Wiesmann F, Durrington PN, Channon KM, Neubauer S, Choudhury RP. Effects of high-dose modified-release nicotinic acid on atherosclerosis and vascular function: a randomized, placebo-controlled, magnetic resonance imaging study. J Am Coll Cardiol 2009; 54:1787-1794
  65. Dunbar RL, Gelfand JM. Seeing red: flushing out instigators of niacin-associated skin toxicity. J Clin Invest 2010; 120:2651-2655
  66. Dunn RT, Ford MA, Rindone JP, Kwiecinski FA. Low-Dose Aspirin and Ibuprofen Reduce the Cutaneous Reactions Following Niacin Administration. Am J Ther 1995; 2:478-480
  67. McKenney JM, Proctor JD, Harris S, Chinchili VM. A comparison of the efficacy and toxic effects of sustained- vs immediate-release niacin in hypercholesterolemic patients. JAMA 1994; 271:672-677
  68. Henkin Y, Johnson KC, Segrest JP. Rechallenge with crystalline niacin after drug-induced hepatitis from sustained-release niacin. JAMA 1990; 264:241-243
  69. Kashyap ML, Ganji S, Nakra NK, Kamanna VS. Niacin for treatment of nonalcoholic fatty liver disease (NAFLD): novel use for an old drug? J Clin Lipidol 2019; 13:873-879
  70. Anderson TJ, Boden WE, Desvigne-Nickens P, Fleg JL, Kashyap ML, McBride R, Probstfield JL, Investigators A-H. Safety profile of extended-release niacin in the AIM-HIGH trial. N Engl J Med 2014; 371:288-290
  71. Miettinen TA, Taskinen MR, Pelkonen R, Nikkila EA. Glucose tolerance and plasma insulin in man during acute and chronic administration of nicotinic acid. Acta Med Scand 1969; 186:247-253
  72. Poynten AM, Gan SK, Kriketos AD, O'Sullivan A, Kelly JJ, Ellis BA, Chisholm DJ, Campbell LV. Nicotinic acid-induced insulin resistance is related to increased circulating fatty acids and fat oxidation but not muscle lipid content. Metabolism 2003; 52:699-704
  73. Goldberg RB, Bittner VA, Dunbar RL, Fleg JL, Grunberger G, Guyton JR, Leiter LA, McBride R, Robinson JG, Simmons DL, Wysham C, Xu P, Boden WE. Effects of Extended-Release Niacin Added to Simvastatin/Ezetimibe on Glucose and Insulin Values in AIM-HIGH. Am J Med 2016; 129:753 e713-722
  74. Goldie C, Taylor AJ, Nguyen P, McCoy C, Zhao XQ, Preiss D. Niacin therapy and the risk of new-onset diabetes: a meta-analysis of randomised controlled trials. Heart 2016; 102:198-203
  75. Elam MB, Hunninghake DB, Davis KB, Garg R, Johnson C, Egan D, Kostis JB, Sheps DS, Brinton EA. Effect of niacin on lipid and lipoprotein levels and glycemic control in patients with diabetes and peripheral arterial disease: the ADMIT study: A randomized trial. Arterial Disease Multiple Intervention Trial. JAMA 2000; 284:1263-1270
  76. Garg A, Grundy SM. Nicotinic acid as therapy for dyslipidemia in non-insulin-dependent diabetes mellitus. JAMA 1990; 264:723-726
  77. Ding Y, Li Y, Wen A. Effect of niacin on lipids and glucose in patients with type 2 diabetes: A meta-analysis of randomized, controlled clinical trials. Clin Nutr 2015; 34:838-844
  78. Gershon SL, Fox IH. Pharmacologic effects of nicotinic acid on human purine metabolism. J Lab Clin Med 1974; 84:179-186
  79. Gagne JJ, Houstoun M, Reichman ME, Hampp C, Marshall JH, Toh S. Safety assessment of niacin in the US Food and Drug Administration's mini-sentinel system. Pharmacoepidemiol Drug Saf 2018; 27:30-37
  80. Domanico D, Verboschi F, Altimari S, Zompatori L, Vingolo EM. Ocular Effects of Niacin: A Review of the Literature. Med Hypothesis Discov Innov Ophthalmol 2015; 4:64-71
  81. Zargar A, Ito MK. Long chain omega-3 dietary supplements: a review of the National Library of Medicine Herbal Supplement Database. Metab Syndr Relat Disord 2011; 9:255-271
  82. Kleiner AC, Cladis DP, Santerre CR. A comparison of actual versus stated label amounts of EPA and DHA in commercial omega-3 dietary supplements in the United States. J Sci Food Agric 2015; 95:1260-1267
  83. Wendland E, Farmer A, Glasziou P, Neil A. Effect of alpha linolenic acid on cardiovascular risk markers: a systematic review. Heart 2006; 92:166-169
  84. Eslick GD, Howe PR, Smith C, Priest R, Bensoussan A. Benefits of fish oil supplementation in hyperlipidemia: a systematic review and meta-analysis. Int J Cardiol 2009; 136:4-16
  85. Balk EM, Lichtenstein AH, Chung M, Kupelnick B, Chew P, Lau J. Effects of omega-3 fatty acids on serum markers of cardiovascular disease risk: a systematic review. Atherosclerosis 2006; 189:19-30
  86. Hartweg J, Perera R, Montori V, Dinneen S, Neil HA, Farmer A. Omega-3 polyunsaturated fatty acids (PUFA) for type 2 diabetes mellitus. Cochrane Database Syst Rev 2008:CD003205
  87. Zheng T, Zhao J, Wang Y, Liu W, Wang Z, Shang Y, Zhang W, Zhang Y, Zhong M. The limited effect of omega-3 polyunsaturated fatty acids on cardiovascular risk in patients with impaired glucose metabolism: a meta-analysis. Clin Biochem 2014; 47:369-377
  88. Chi H, Lin X, Huang H, Zheng X, Li T, Zou Y. Omega-3 fatty acid supplementation on lipid profiles in dialysis patients: meta-analysis. Arch Med Res 2014; 45:469-477
  89. Pei J, Zhao Y, Huang L, Zhang X, Wu Y. The effect of n-3 polyunsaturated fatty acids on plasma lipids and lipoproteins in patients with chronic renal failure--a meta-analysis of randomized controlled trials. J Ren Nutr 2012; 22:525-532
  90. Zhu W, Dong C, Du H, Zhang H, Chen J, Hu X, Hu F. Effects of fish oil on serum lipid profile in dialysis patients: a systematic review and meta-analysis of randomized controlled trials. Lipids Health Dis 2014; 13:127
  91. Hall AV, Parbtani A, Clark WF, Spanner E, Huff MW, Philbrick DJ, Holub BJ. Omega-3 fatty acid supplementation in primary nephrotic syndrome: effects on plasma lipids and coagulopathy. J Am Soc Nephrol 1992; 3:1321-1329
  92. Spadaro L, Magliocco O, Spampinato D, Piro S, Oliveri C, Alagona C, Papa G, Rabuazzo AM, Purrello F. Effects of n-3 polyunsaturated fatty acids in subjects with nonalcoholic fatty liver disease. Dig Liver Dis 2008; 40:194-199
  93. Oliveira JM, Rondo PH. Omega-3 fatty acids and hypertriglyceridemia in HIV-infected subjects on antiretroviral therapy: systematic review and meta-analysis. HIV Clin Trials 2011; 12:268-274
  94. De Truchis P, Kirstetter M, Perier A, Meunier C, Zucman D, Force G, Doll J, Katlama C, Rozenbaum W, Masson H, Gardette J, Melchior JC. Reduction in triglyceride level with N-3 polyunsaturated fatty acids in HIV-infected patients taking potent antiretroviral therapy: a randomized prospective study. J Acquir Immune Defic Syndr 2007; 44:278-285
  95. Harris WS, Ginsberg HN, Arunakul N, Shachter NS, Windsor SL, Adams M, Berglund L, Osmundsen K. Safety and efficacy of Omacor in severe hypertriglyceridemia. J Cardiovasc Risk 1997; 4:385-391
  96. Maki KC, Orloff DG, Nicholls SJ, Dunbar RL, Roth EM, Curcio D, Johnson J, Kling D, Davidson MH. A highly bioavailable omega-3 free fatty acid formulation improves the cardiovascular risk profile in high-risk, statin-treated patients with residual hypertriglyceridemia (the ESPRIT trial). Clin Ther 2013; 35:1400-1411 e1401-1403
  97. Pownall HJ, Brauchi D, Kilinc C, Osmundsen K, Pao Q, Payton-Ross C, Gotto AM, Jr., Ballantyne CM. Correlation of serum triglyceride and its reduction by omega-3 fatty acids with lipid transfer activity and the neutral lipid compositions of high-density and low-density lipoproteins. Atherosclerosis 1999; 143:285-297
  98. Calabresi L, Donati D, Pazzucconi F, Sirtori CR, Franceschini G. Omacor in familial combined hyperlipidemia: effects on lipids and low density lipoprotein subclasses. Atherosclerosis 2000; 148:387-396
  99. Minihane AM, Khan S, Leigh-Firbank EC, Talmud P, Wright JW, Murphy MC, Griffin BA, Williams CM. ApoE polymorphism and fish oil supplementation in subjects with an atherogenic lipoprotein phenotype. Arterioscler Thromb Vasc Biol 2000; 20:1990-1997
  100. Haglund O, Mehta JL, Saldeen T. Effects of fish oil on some parameters of fibrinolysis and lipoprotein(a) in healthy subjects. Am J Cardiol 1994; 74:189-192
  101. Beil FU, Terres W, Orgass M, Greten H. Dietary fish oil lowers lipoprotein(a) in primary hypertriglyceridemia. Atherosclerosis 1991; 90:95-97
  102. Herrmann W, Biermann J, Kostner GM. Comparison of effects of N-3 to N-6 fatty acids on serum level of lipoprotein(a) in patients with coronary artery disease. Am J Cardiol 1995; 76:459-462
  103. Shinozaki K, Kambayashi J, Kawasaki T, Uemura Y, Sakon M, Shiba E, Shibuya T, Nakamura T, Mori T. The long-term effect of eicosapentaenoic acid on serum levels of lipoprotein (a) and lipids in patients with vascular disease. J Atheroscler Thromb 1996; 2:107-109
  104. Eritsland J, Arnesen H, Berg K, Seljeflot I, Abdelnoor M. Serum Lp(a) lipoprotein levels in patients with coronary artery disease and the influence of long-term n-3 fatty acid supplementation. Scand J Clin Lab Invest 1995; 55:295-300
  105. Davidson MH, Stein EA, Bays HE, Maki KC, Doyle RT, Shalwitz RA, Ballantyne CM, Ginsberg HN. Efficacy and tolerability of adding prescription omega-3 fatty acids 4 g/d to simvastatin 40 mg/d in hypertriglyceridemic patients: an 8-week, randomized, double-blind, placebo-controlled study. Clin Ther 2007; 29:1354-1367
  106. Bays HE, Ballantyne CM, Kastelein JJ, Isaacsohn JL, Braeckman RA, Soni PN. Eicosapentaenoic acid ethyl ester (AMR101) therapy in patients with very high triglyceride levels (from the Multi-center, plAcebo-controlled, Randomized, double-blINd, 12-week study with an open-label Extension [MARINE] trial). Am J Cardiol 2011; 108:682-690
  107. Ballantyne CM, Bays HE, Kastelein JJ, Stein E, Isaacsohn JL, Braeckman RA, Soni PN. Efficacy and safety of eicosapentaenoic acid ethyl ester (AMR101) therapy in statin-treated patients with persistent high triglycerides (from the ANCHOR study). Am J Cardiol 2012; 110:984-992
  108. Kastelein JJ, Maki KC, Susekov A, Ezhov M, Nordestgaard BG, Machielse BN, Kling D, Davidson MH. Omega-3 free fatty acids for the treatment of severe hypertriglyceridemia: the EpanoVa fOr Lowering Very high triglyceridEs (EVOLVE) trial. J Clin Lipidol 2014; 8:94-106
  109. Wei MY, Jacobson TA. Effects of eicosapentaenoic acid versus docosahexaenoic acid on serum lipids: a systematic review and meta-analysis. Curr Atheroscler Rep 2011; 13:474-483
  110. Tatsuno I, Saito Y, Kudou K, Ootake J. Efficacy and safety of TAK-085 compared with eicosapentaenoic acid in Japanese subjects with hypertriglyceridemia undergoing lifestyle modification: the omega-3 fatty acids randomized double-blind (ORD) study. J Clin Lipidol 2013; 7:199-207
  111. Tatsuno I, Saito Y, Kudou K, Ootake J. Long-term safety and efficacy of TAK-085 in Japanese subjects with hypertriglyceridemia undergoing lifestyle modification: the omega-3 fatty acids randomized long-term (ORL) study. J Clin Lipidol 2013; 7:615-625
  112. Roth EM, Bays HE, Forker AD, Maki KC, Carter R, Doyle RT, Stein EA. Prescription omega-3 fatty acid as an adjunct to fenofibrate therapy in hypertriglyceridemic subjects. J Cardiovasc Pharmacol 2009; 54:196-203
  113. Shearer GC, Savinova OV, Harris WS. Fish oil -- how does it reduce plasma triglycerides? Biochim Biophys Acta 2012; 1821:843-851
  114. Harris WS, Bulchandani D. Why do omega-3 fatty acids lower serum triglycerides? Curr Opin Lipidol 2006; 17:387-393
  115. Ooi EM, Watts GF, Ng TW, Barrett PH. Effect of dietary Fatty acids on human lipoprotein metabolism: a comprehensive update. Nutrients 2015; 7:4416-4425
  116. Davidson MH. Mechanisms for the hypotriglyceridemic effect of marine omega-3 fatty acids. Am J Cardiol 2006; 98:27i-33i
  117. Wang H, Chen X, Fisher EA. N-3 fatty acids stimulate intracellular degradation of apoprotein B in rat hepatocytes. J Clin Invest 1993; 91:1380-1389
  118. Lang CA, Davis RA. Fish oil fatty acids impair VLDL assembly and/or secretion by cultured rat hepatocytes. J Lipid Res 1990; 31:2079-2086
  119. Jump DB, Tripathy S, Depner CM. Fatty acid-regulated transcription factors in the liver. Annu Rev Nutr 2013; 33:249-269
  120. Park Y, Harris WS. Omega-3 fatty acid supplementation accelerates chylomicron triglyceride clearance. J Lipid Res 2003; 44:455-463
  121. Davidson MH, Maki KC, Bays H, Carter R, Ballantyne CM. Effects of prescription omega-3-acid ethyl esters on lipoprotein particle concentrations, apolipoproteins AI and CIII, and lipoprotein-associated phospholipase A(2) mass in statin-treated subjects with hypertriglyceridemia. J Clin Lipidol 2009; 3:332-340
  122. Phillipson BE, Rothrock DW, Connor WE, Harris WS, Illingworth DR. Reduction of plasma lipids, lipoproteins, and apoproteins by dietary fish oils in patients with hypertriglyceridemia. N Engl J Med 1985; 312:1210-1216
  123. Skulas-Ray AC, Alaupovic P, Kris-Etherton PM, West SG. Dose-response effects of marine omega-3 fatty acids on apolipoproteins, apolipoprotein-defined lipoprotein subclasses, and Lp-PLA2 in individuals with moderate hypertriglyceridemia. J Clin Lipidol 2015; 9:360-367
  124. Sahebkar A, Simental-Mendia LE, Mikhailidis DP, Pirro M, Banach M, Sirtori CR, Reiner Z. Effect of omega-3 supplements on plasma apolipoprotein C-III concentrations: a systematic review and meta-analysis of randomized controlled trials. Ann Med 2018:1-11
  125. Davidson MH, Johnson J, Rooney MW, Kyle ML, Kling DF. A novel omega-3 free fatty acid formulation has dramatically improved bioavailability during a low-fat diet compared with omega-3-acid ethyl esters: the ECLIPSE (Epanova((R)) compared to Lovaza((R)) in a pharmacokinetic single-dose evaluation) study. J Clin Lipidol 2012; 6:573-584
  126. Offman E, Marenco T, Ferber S, Johnson J, Kling D, Curcio D, Davidson M. Steady-state bioavailability of prescription omega-3 on a low-fat diet is significantly improved with a free fatty acid formulation compared with an ethyl ester formulation: the ECLIPSE II study. Vasc Health Risk Manag 2013; 9:563-573
  127. Burr ML, Ashfield-Watt PA, Dunstan FD, Fehily AM, Breay P, Ashton T, Zotos PC, Haboubi NA, Elwood PC. Lack of benefit of dietary advice to men with angina: results of a controlled trial. Eur J Clin Nutr 2003; 57:193-200
  128. Burr ML, Fehily AM, Gilbert JF, Rogers S, Holliday RM, Sweetnam PM, Elwood PC, Deadman NM. Effects of changes in fat, fish, and fibre intakes on death and myocardial reinfarction: diet and reinfarction trial (DART). Lancet 1989; 2:757-761
  129. Dietary supplementation with n-3 polyunsaturated fatty acids and vitamin E after myocardial infarction: results of the GISSI-Prevenzione trial. Gruppo Italiano per lo Studio della Sopravvivenza nell'Infarto miocardico. Lancet 1999; 354:447-455
  130. Tavazzi L, Maggioni AP, Marchioli R, Barlera S, Franzosi MG, Latini R, Lucci D, Nicolosi GL, Porcu M, Tognoni G, Gissi HFI. Effect of n-3 polyunsaturated fatty acids in patients with chronic heart failure (the GISSI-HF trial): a randomised, double-blind, placebo-controlled trial. Lancet 2008; 372:1223-1230
  131. Rauch B, Schiele R, Schneider S, Diller F, Victor N, Gohlke H, Gottwik M, Steinbeck G, Del Castillo U, Sack R, Worth H, Katus H, Spitzer W, Sabin G, Senges J, OMEGA Study Group. OMEGA, a randomized, placebo-controlled trial to test the effect of highly purified omega-3 fatty acids on top of modern guideline-adjusted therapy after myocardial infarction. Circulation 2010; 122:2152-2159
  132. Kromhout D, Giltay EJ, Geleijnse JM, Alpha Omega Trial Group. n-3 fatty acids and cardiovascular events after myocardial infarction. N Engl J Med 2010; 363:2015-2026
  133. Galan P, Kesse-Guyot E, Czernichow S, Briancon S, Blacher J, Hercberg S, Su Fol Om Collaborative Group. Effects of B vitamins and omega 3 fatty acids on cardiovascular diseases: a randomised placebo controlled trial. BMJ 2010; 341:c6273
  134. Origin Trial Investigators, Bosch J, Gerstein HC, Dagenais GR, Diaz R, Dyal L, Jung H, Maggiono AP, Probstfield J, Ramachandran A, Riddle MC, Ryden LE, Yusuf S. n-3 fatty acids and cardiovascular outcomes in patients with dysglycemia. N Engl J Med 2012; 367:309-318
  135. Risk Prevention Study Collaborative Group. n-3 fatty acids in patients with multiple cardiovascular risk factors. N Engl J Med 2013; 368:1800-1808
  136. Ascend Study Collaborative Group, Bowman L, Mafham M, Wallendszus K, Stevens W, Buck G, Barton J, Murphy K, Aung T, Haynes R, Cox J, Murawska A, Young A, Lay M, Chen F, Sammons E, Waters E, Adler A, Bodansky J, Farmer A, McPherson R, Neil A, Simpson D, Peto R, Baigent C, Collins R, Parish S, Armitage J. Effects of n-3 Fatty Acid Supplements in Diabetes Mellitus. N Engl J Med 2018; 379:1540-1550
  137. Manson JE, Cook NR, Lee IM, Christen W, Bassuk SS, Mora S, Gibson H, Albert CM, Gordon D, Copeland T, D'Agostino D, Friedenberg G, Ridge C, Bubes V, Giovannucci EL, Willett WC, Buring JE, Vital Research Group. Marine n-3 Fatty Acids and Prevention of Cardiovascular Disease and Cancer. N Engl J Med 2018;
  138. Saito Y, Yokoyama M, Origasa H, Matsuzaki M, Matsuzawa Y, Ishikawa Y, Oikawa S, Sasaki J, Hishida H, Itakura H, Kita T, Kitabatake A, Nakaya N, Sakata T, Shimada K, Shirato K, Jelis Investigators Japan. Effects of EPA on coronary artery disease in hypercholesterolemic patients with multiple risk factors: sub-analysis of primary prevention cases from the Japan EPA Lipid Intervention Study (JELIS). Atherosclerosis 2008; 200:135-140
  139. Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT, Jr., Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM, REDUCE-IT Investigators. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med 2019; 380:11-22
  140. Aggarwal R, Bhatt DL, Steg PG, Miller M, Brinton EA, Dunbar RL, Ketchum SB, Tardif JC, Martens F, Ballantyne CM, Szarek M, Mason RP, REDUCE-IT Investigators. Cardiovascular Outcomes With Icosapent Ethyl by Baseline Low-Density Lipoprotein Cholesterol: A Secondary Analysis of the REDUCE-IT Randomized Trial. J Am Heart Assoc 2025; 14:e038656
  141. Ridker PM, Rifai N, MacFadyen J, Glynn RJ, Jiao L, Steg PG, Miller M, Brinton EA, Jacobson TA, Tardif JC, Ballantyne CM, Mason RP, Bhatt DL. Effects of Randomized Treatment With Icosapent Ethyl and a Mineral Oil Comparator on Interleukin-1beta, Interleukin-6, C-Reactive Protein, Oxidized Low-Density Lipoprotein Cholesterol, Homocysteine, Lipoprotein(a), and Lipoprotein-Associated Phospholipase A2: A REDUCE-IT Biomarker Substudy. Circulation 2022; 146:372-379
  142. Nicholls SJ, Lincoff AM, Garcia M, Bash D, Ballantyne CM, Barter PJ, Davidson MH, Kastelein JJP, Koenig W, McGuire DK, Mozaffarian D, Ridker PM, Ray KK, Katona BG, Himmelmann A, Loss LE, Rensfeldt M, Lundstrom T, Agrawal R, Menon V, Wolski K, Nissen SE. Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial. JAMA 2020; 324:2268-2280
  143. Kalstad AA, Myhre PL, Laake K, Tveit SH, Schmidt EB, Smith P, Nilsen DWT, Tveit A, Fagerland MW, Solheim S, Seljeflot I, Arnesen H, Investigators O. Effects of n-3 Fatty Acid Supplements in Elderly Patients After Myocardial Infarction: A Randomized, Controlled Trial. Circulation 2021; 143:528-539
  144. Myhre PL, Berge T, Kalstad AA, Tveit SH, Laake K, Schmidt EB, Solheim S, Arnesen H, Seljeflot I, Tveit A. Omega-3 fatty acid supplements and risk of atrial fibrillation and 'micro-atrial fibrillation': A secondary analysis from the OMEMI trial. Clin Nutr 2023; 42:1657-1660
  145. Miyauchi K, Iwata H, Nishizaki Y, Inoue T, Hirayama A, Kimura K, Ozaki Y, Murohara T, Ueshima K, Kuwabara Y, Tanaka-Mizuno S, Yanagisawa N, Sato T, Daida H, Respect-Epa Investigators. Randomized Trial for Evaluation in Secondary Prevention Efficacy of Combination Therapy-Statin and Eicosapentaenoic Acid (RESPECT-EPA). Circulation 2024; 150:425-434
  146. Mason RP, Libby P, Bhatt DL. Emerging Mechanisms of Cardiovascular Protection for the Omega-3 Fatty Acid Eicosapentaenoic Acid. Arterioscler Thromb Vasc Biol 2020:ATVBAHA119313286
  147. Marston NA, Giugliano RP, Im K, Silverman MG, O'Donoghue ML, Wiviott SD, Ference BA, Sabatine MS. Association Between Triglyceride Lowering and Reduction of Cardiovascular Risk Across Multiple Lipid-Lowering Therapeutic Classes: A Systematic Review and Meta-Regression Analysis of Randomized Controlled Trials. Circulation 2019; 140:1308-1317
  148. Goff ZD, Nissen SE. N-3 polyunsaturated fatty acids for cardiovascular risk. Curr Opin Cardiol 2022; 37:356-363
  149. Mason RP, Sherratt SCR, Eckel RH. Omega-3-fatty acids: Do they prevent cardiovascular disease? Best Pract Res Clin Endocrinol Metab 2023; 37:101681
  150. Wachira JK, Larson MK, Harris WS. n-3 Fatty acids affect haemostasis but do not increase the risk of bleeding: clinical observations and mechanistic insights. Br J Nutr 2014; 111:1652-1662
  151. Zimetbaum P, Frishman WH, Kahn S. Effects of gemfibrozil and other fibric acid derivatives on blood lipids and lipoproteins. J Clin Pharmacol 1991; 31:25-37
  152. Loomba RS, Arora R. Prevention of cardiovascular disease utilizing fibrates--a pooled meta-analysis. Am J Ther 2010; 17:e182-188
  153. Rosenson RS. Fenofibrate: treatment of hyperlipidemia and beyond. Expert Rev Cardiovasc Ther 2008; 6:1319-1330
  154. Miller M, Bachorik PS, McCrindle BW, Kwiterovich PO, Jr. Effect of gemfibrozil in men with primary isolated low high-density lipoprotein cholesterol: a randomized, double-blind, placebo-controlled, crossover study. Am J Med 1993; 94:7-12
  155. Berthold HK, Gouni-Berthold I. Hyperlipoproteinemia(a): clinical significance and treatment options. Atheroscler Suppl 2013; 14:1-5
  156. Frick MH, Elo O, Haapa K, Heinonen OP, Heinsalmi P, Helo P, Huttunen JK, Kaitaniemi P, Koskinen P, Manninen V, et al. Helsinki Heart Study: primary-prevention trial with gemfibrozil in middle-aged men with dyslipidemia. Safety of treatment, changes in risk factors, and incidence of coronary heart disease. N Engl J Med 1987; 317:1237-1245
  157. Rubins HB, Robins SJ, Collins D, Fye CL, Anderson JW, Elam MB, Faas FH, Linares E, Schaefer EJ, Schectman G, Wilt TJ, Wittes J. Gemfibrozil for the secondary prevention of coronary heart disease in men with low levels of high-density lipoprotein cholesterol. Veterans Affairs High-Density Lipoprotein Cholesterol Intervention Trial Study Group. N Engl J Med 1999; 341:410-418
  158. Bezafibrate Infarction Prevention Study. Secondary prevention by raising HDL cholesterol and reducing triglycerides in patients with coronary artery disease. Circulation 2000; 102:21-27
  159. Czupryniak L, Joshi SR, Gogtay JA, Lopez M. Effect of micronized fenofibrate on microvascular complications of type 2 diabetes: a systematic review. Expert Opin Pharmacother 2016; 17:1463-1473
  160. Keech A, Simes RJ, Barter P, Best J, Scott R, Taskinen MR, Forder P, Pillai A, Davis T, Glasziou P, Drury P, Kesaniemi YA, Sullivan D, Hunt D, Colman P, d'Emden M, Whiting M, Ehnholm C, Laakso M, FIELD Study Investigators. Effects of long-term fenofibrate therapy on cardiovascular events in 9795 people with type 2 diabetes mellitus (the FIELD study): randomised controlled trial. Lancet 2005; 366:1849-1861
  161. Aguilar-Salinas CA, Fanghanel-Salmon G, Meza E, Montes J, Gulias-Herrero A, Sanchez L, Monterrubio-Flores EA, Gonzalez-Valdez H, Gomez Perez FJ. Ciprofibrate versus gemfibrozil in the treatment of mixed hyperlipidemias: an open-label, multicenter study. Metabolism 2001; 50:729-733
  162. Knipscheer HC, de Valois JC, van den Ende B, Wouter ten Cate J, Kastelein JJ. Ciprofibrate versus gemfibrozil in the treatment of primary hyperlipidaemia. Atherosclerosis 1996; 124 Suppl:S75-81
  163. Insua A, Massari F, Rodriguez Moncalvo JJ, Ruben Zanchetta J, Insua AM. Fenofibrate of gemfibrozil for treatment of types IIa and IIb primary hyperlipoproteinemia: a randomized, double-blind, crossover study. Endocr Pract 2002; 8:96-101
  164. Jen SL, Chen JW, Lee WL, Wang SP. Efficacy and safety of fenofibrate or gemfibrozil on serum lipid profiles in Chinese patients with type IIb hyperlipidemia: a single-blind, randomized, and cross-over study. Zhonghua Yi Xue Za Zhi (Taipei) 1997; 59:217-224
  165. Ebcioglu Z, Morgan J, Carey C, Capuzzi D. Paradoxical lowering of high-density lipoprotein cholesterol level in 2 patients receiving fenofibrate and a thiazolidinedione. Ann Intern Med 2003; 139:W80
  166. Shetty C, Balasubramani M, Capps N, Milles J, Ramachandran S. Paradoxical HDL-C reduction during rosiglitazone and fibrate treatment. Diabet Med 2007; 24:94-97
  167. Collinson PO, Hjelm CJ, Canepo-Anson R. Paradoxical high-density lipoprotein reduction induced by fenofibrate and ciprofibrate. Ann Clin Biochem 1996; 33 ( Pt 2):159-161
  168. Schofield JD, Liu Y, France MW, Sandle L, Soran H. A review of paradoxical HDL-C responses to fenofibrate, illustrated by a case report. J Clin Lipidol 2014; 8:455-459
  169. Nobecourt E, Cariou B, Lambert G, Krempf M. Severe decrease in high-density lipoprotein cholesterol with the combination of fibrates and ezetimibe: A case series. J Clin Lipidol 2017; 11:289-293
  170. Grundy SM, Vega GL, Yuan Z, Battisti WP, Brady WE, Palmisano J. Effectiveness and tolerability of simvastatin plus fenofibrate for combined hyperlipidemia (the SAFARI trial). Am J Cardiol 2005; 95:462-468
  171. Choi HD, Shin WG. Safety and efficacy of statin treatment alone and in combination with fibrates in patients with dyslipidemia: a meta-analysis. Curr Med Res Opin 2014; 30:1-10
  172. Geng Q, Ren J, Chen H, Lee C, Liang W. Adverse events following statin-fenofibrate therapy versus statin alone: a meta-analysis of randomized controlled trials. Clin Exp Pharmacol Physiol 2013; 40:219-226
  173. Kontopoulos AG, Athyros VG, Papageorgiou AA, Hatzikonstandinou HA, Mayroudi MC, Boudoulas H. Effects of simvastatin and ciprofibrate alone and in combination on lipid profile, plasma fibrinogen and low density lipoprotein particle structure and distribution in patients with familial combined hyperlipidaemia and coronary artery disease. Coron Artery Dis 1996; 7:843-850
  174. Ansquer JC, Bekaert I, Guy M, Hanefeld M, Simon A. Efficacy and safety of coadministration of fenofibrate and ezetimibe compared with each as monotherapy in patients with type IIb dyslipidemia and features of the metabolic syndrome: a prospective, randomized, double-blind, three-parallel arm, multicenter, comparative study. Am J Cardiovasc Drugs 2009; 9:91-101
  175. Farnier M, Freeman MW, Macdonell G, Perevozskaya I, Davies MJ, Mitchel YB, Gumbiner B, Ezetimibe Study Group. Efficacy and safety of the coadministration of ezetimibe with fenofibrate in patients with mixed hyperlipidaemia. Eur Heart J 2005; 26:897-905
  176. Farnier M, Roth E, Gil-Extremera B, Mendez GF, Macdonell G, Hamlin C, Perevozskaya I, Davies MJ, Kush D, Mitchel YB, Ezetimibe/Simvastatin + Fenofibrate Study Group. Efficacy and safety of the coadministration of ezetimibe/simvastatin with fenofibrate in patients with mixed hyperlipidemia. Am Heart J 2007; 153:335 e331-338
  177. Jones PH, Goldberg AC, Knapp HR, Kelly MT, Setze CM, Stolzenbach JC, Sleep DJ. Efficacy and safety of fenofibric acid in combination with atorvastatin and ezetimibe in patients with mixed dyslipidemia. Am Heart J 2010; 160:759-766
  178. McKenney J, Jones M, Abby S. Safety and efficacy of colesevelam hydrochloride in combination with fenofibrate for the treatment of mixed hyperlipidemia. Curr Med Res Opin 2005; 21:1403-1412
  179. Weisweiler P. Low-dose colestipol plus fenofibrate: effects on plasma lipoproteins, lecithin:cholesterol acyltransferase, and postheparin lipases in familial hypercholesterolemia. Metabolism 1989; 38:271-274
  180. Curtis LD, Dickson AC, Ling KL, Betteridge J. Combination treatment with cholestyramine and bezafibrate for heterozygous familial hypercholesterolaemia. BMJ 1988; 297:173-175
  181. Series JJ, Caslake MJ, Kilday C, Cruickshank A, Demant T, Lorimer AR, Packard CJ, Shepherd J. Effect of combined therapy with bezafibrate and cholestyramine on low-density lipoprotein metabolism in type IIa hypercholesterolemia. Metabolism 1989; 38:153-158
  182. Stein EA, Heimann KW. Colestipol, clofibrate, cholestyramine and combination therapy in the treatment of familial hyperbetalipoproteinaemia. S Afr Med J 1975; 49:1252-1256
  183. Pawlak M, Lefebvre P, Staels B. Molecular mechanism of PPARalpha action and its impact on lipid metabolism, inflammation and fibrosis in non-alcoholic fatty liver disease. J Hepatol 2015; 62:720-733
  184. Staels B, Maes M, Zambon A. Fibrates and future PPARalpha agonists in the treatment of cardiovascular disease. Nat Clin Pract Cardiovasc Med 2008; 5:542-553
  185. Shah A, Rader DJ, Millar JS. The effect of PPAR-alpha agonism on apolipoprotein metabolism in humans. Atherosclerosis 2010; 210:35-40
  186. Staels B, Dallongeville J, Auwerx J, Schoonjans K, Leitersdorf E, Fruchart JC. Mechanism of action of fibrates on lipid and lipoprotein metabolism. Circulation 1998; 98:2088-2093
  187. Gaudet D, Brisson D, Tremblay K, Alexander VJ, Singleton W, Hughes SG, Geary RS, Baker BF, Graham MJ, Crooke RM, Witztum JL. Targeting APOC3 in the familial chylomicronemia syndrome. N Engl J Med 2014; 371:2200-2206
  188. Gordts PL, Nock R, Son NH, Ramms B, Lew I, Gonzales JC, Thacker BE, Basu D, Lee RG, Mullick AE, Graham MJ, Goldberg IJ, Crooke RM, Witztum JL, Esko JD. ApoC-III inhibits clearance of triglyceride-rich lipoproteins through LDL family receptors. J Clin Invest 2016; 126:2855-2866
  189. Clavey V, Lestavel-Delattre S, Copin C, Bard JM, Fruchart JC. Modulation of lipoprotein B binding to the LDL receptor by exogenous lipids and apolipoproteins CI, CII, CIII, and E. Arterioscler Thromb Vasc Biol 1995; 15:963-971
  190. Nigon F, Lesnik P, Rouis M, Chapman MJ. Discrete subspecies of human low density lipoproteins are heterogeneous in their interaction with the cellular LDL receptor. J Lipid Res 1991; 32:1741-1753
  191. A co-operative trial in the primary prevention of ischaemic heart disease using clofibrate. Report from the Committee of Principal Investigators. Br Heart J 1978; 40:1069-1118
  192. Manninen V, Elo MO, Frick MH, Haapa K, Heinonen OP, Heinsalmi P, Helo P, Huttunen JK, Kaitaniemi P, Koskinen P, et al. Lipid alterations and decline in the incidence of coronary heart disease in the Helsinki Heart Study. JAMA 1988; 260:641-651
  193. Manninen V, Tenkanen L, Koskinen P, Huttunen JK, Manttari M, Heinonen OP, Frick MH. Joint effects of serum triglyceride and LDL cholesterol and HDL cholesterol concentrations on coronary heart disease risk in the Helsinki Heart Study. Implications for treatment. Circulation 1992; 85:37-45
  194. Tenkanen L, Manttari M, Manninen V. Some coronary risk factors related to the insulin resistance syndrome and treatment with gemfibrozil. Experience from the Helsinki Heart Study. Circulation 1995; 92:1779-1785
  195. Robins SJ, Collins D, Wittes JT, Papademetriou V, Deedwania PC, Schaefer EJ, McNamara JR, Kashyap ML, Hershman JM, Wexler LF, Rubins HB. Relation of gemfibrozil treatment and lipid levels with major coronary events: VA-HIT: a randomized controlled trial. JAMA 2001; 285:1585-1591
  196. Tenenbaum A, Motro M, Fisman EZ, Tanne D, Boyko V, Behar S. Bezafibrate for the secondary prevention of myocardial infarction in patients with metabolic syndrome. Arch Intern Med 2005; 165:1154-1160
  197. Meade T, Zuhrie R, Cook C, Cooper J. Bezafibrate in men with lower extremity arterial disease: randomised controlled trial. BMJ 2002; 325:1139
  198. Meade TW, For the British Medical Research Council General Practice Research Framework, participating vascular clinics. Design and intermediate results of the Lower Extremity Arterial Disease Event Reduction (LEADER)* trial of bezafibrate in men with lower extremity arterial disease [ISRCTN4119421]. Curr Control Trials Cardiovasc Med 2001; 2:195-204
  199. Scott R, O'Brien R, Fulcher G, Pardy C, D'Emden M, Tse D, Taskinen MR, Ehnholm C, Keech A. Effects of fenofibrate treatment on cardiovascular disease risk in 9,795 individuals with type 2 diabetes and various components of the metabolic syndrome: the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study. Diabetes Care 2009; 32:493-498
  200. ACCORD Study Group, Ginsberg HN, Elam MB, Lovato LC, Crouse JR, 3rd, Leiter LA, Linz P, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, Grimm RH, Ismail-Beigi F, Bigger JT, Goff DC, Jr., Cushman WC, Simons-Morton DG, Byington RP. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med 2010; 362:1563-1574
  201. Das Pradhan A, Glynn RJ, Fruchart JC, MacFadyen JG, Zaharris ES, Everett BM, Campbell SE, Oshima R, Amarenco P, Blom DJ, Brinton EA, Eckel RH, Elam MB, Felicio JS, Ginsberg HN, Goudev A, Ishibashi S, Joseph J, Kodama T, Koenig W, Leiter LA, Lorenzatti AJ, Mankovsky B, Marx N, Nordestgaard BG, Pall D, Ray KK, Santos RD, Soran H, Susekov A, Tendera M, Yokote K, Paynter NP, Buring JE, Libby P, Ridker PM, Prominent Investigators. Triglyceride Lowering with Pemafibrate to Reduce Cardiovascular Risk. N Engl J Med 2022; 387:1923-1934
  202. Harrold BP, Marmion VJ, Gough KR. A double-blind controlled trial of clofibrate in the treatment of diabetic retinopathy. Diabetes 1969; 18:285-291
  203. Duncan LJ, Cullen JF, Ireland JT, Nolan J, Clarke BF, Oliver MF. A three-year trial of atromid therapy in exudative diabetic retinopathy. Diabetes 1968; 17:458-467
  204. Keech AC, Mitchell P, Summanen PA, O'Day J, Davis TM, Moffitt MS, Taskinen MR, Simes RJ, Tse D, Williamson E, Merrifield A, Laatikainen LT, d'Emden MC, Crimet DC, O'Connell RL, Colman PG. Effect of fenofibrate on the need for laser treatment for diabetic retinopathy (FIELD study): a randomised controlled trial. Lancet 2007; 370:1687-1697
  205. ACCORD Study Group, Group AES, Chew EY, Ambrosius WT, Davis MD, Danis RP, Gangaputra S, Greven CM, Hubbard L, Esser BA, Lovato JF, Perdue LH, Goff DC, Jr., Cushman WC, Ginsberg HN, Elam MB, Genuth S, Gerstein HC, Schubart U, Fine LJ. Effects of medical therapies on retinopathy progression in type 2 diabetes. N Engl J Med 2010; 363:233-244
  206. Emmerich KH, Poritis N, Stelmane I, Klindzane M, Erbler H, Goldsteine J, Gortelmeyer R. [Efficacy and safety of etofibrate in patients with non-proliferative diabetic retinopathy]. Klin Monbl Augenheilkd 2009; 226:561-567
  207. Massin P, Peto T, Ansquer JC, Aubonnet P. Effects of fenofibric acid on diabetic macular edema: the MacuFen study. Ophthalmic Epidemiol 2014; 21:307-317
  208. Preiss D, Logue J, Sammons E, Zayed M, Emberson J, Wade R, Wallendszus K, Stevens W, Cretney R, Harding S, Leese G, Currie G, Armitage J. Effect of Fenofibrate on Progression of Diabetic Retinopathy. NEJM Evid 2024; 3:EVIDoa2400179
  209. Knickelbein JE, Abbott AB, Chew EY. Fenofibrate and Diabetic Retinopathy. Curr Diab Rep 2016; 16:90
  210. Hu Y, Chen Y, Ding L, He X, Takahashi Y, Gao Y, Shen W, Cheng R, Chen Q, Qi X, Boulton ME, Ma JX. Pathogenic role of diabetes-induced PPAR-alpha down-regulation in microvascular dysfunction. Proc Natl Acad Sci U S A 2013; 110:15401-15406
  211. Ansquer JC, Foucher C, Rattier S, Taskinen MR, Steiner G, DAIS Investigators. Fenofibrate reduces progression to microalbuminuria over 3 years in a placebo-controlled study in type 2 diabetes: results from the Diabetes Atherosclerosis Intervention Study (DAIS). Am J Kidney Dis 2005; 45:485-493
  212. Davis TM, Ting R, Best JD, Donoghoe MW, Drury PL, Sullivan DR, Jenkins AJ, O'Connell RL, Whiting MJ, Glasziou PP, Simes RJ, Kesaniemi YA, Gebski VJ, Scott RS, Keech AC. Effects of fenofibrate on renal function in patients with type 2 diabetes mellitus: the Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) Study. Diabetologia 2011; 54:280-290
  213. Ansquer JC, Dalton RN, Causse E, Crimet D, Le Malicot K, Foucher C. Effect of fenofibrate on kidney function: a 6-week randomized crossover trial in healthy people. Am J Kidney Dis 2008; 51:904-913
  214. Sun X, Liu J, Wang G. Fenofibrate decreased microalbuminuria in the type 2 diabetes patients with hypertriglyceridemia. Lipids Health Dis 2020; 19:103
  215. Kouroumichakis I, Papanas N, Zarogoulidis P, Liakopoulos V, Maltezos E, Mikhailidis DP. Fibrates: therapeutic potential for diabetic nephropathy? Eur J Intern Med 2012; 23:309-316
  216. Rajamani K, Colman PG, Li LP, Best JD, Voysey M, D'Emden MC, Laakso M, Baker JR, Keech AC. Effect of fenofibrate on amputation events in people with type 2 diabetes mellitus (FIELD study): a prespecified analysis of a randomised controlled trial. Lancet 2009; 373:1780-1788
  217. Marinho LL, Everett BM, Aday AW, Visseren FLJ, MacFadyen JG, Zaharris E, Plutzky J, Santos RD, Libby P, Fruchart JC, Ridker PM, Pradhan AD. Effect of Pemafibrate on Diabetic Foot Ulceration and Gangrene: An Exploratory Analysis From PROMINENT. J Am Coll Cardiol 2024; 84:408-410
  218. Waldman B, Ansquer JC, Sullivan DR, Jenkins AJ, McGill N, Buizen L, Davis TME, Best JD, Li L, Feher MD, Foucher C, Kesaniemi YA, Flack J, d'Emden MC, Scott RS, Hedley J, Gebski V, Keech AC. Effect of fenofibrate on uric acid and gout in type 2 diabetes: a post-hoc analysis of the randomised, controlled FIELD study. Lancet Diabetes Endocrinol 2018; 6:310-318
  219. Derosa G, Maffioli P, Sahebkar A. Plasma uric acid concentrations are reduced by fenofibrate: A systematic review and meta-analysis of randomized placebo-controlled trials. Pharmacol Res 2015; 102:63-70
  220. Davidson MH, Armani A, McKenney JM, Jacobson TA. Safety considerations with fibrate therapy. Am J Cardiol 2007; 99:3C-18C
  221. Sahebkar A, Simental-Mendia LE, Pirro M, Montecucco F, Carbone F, Banach M, Barreto GE, Butler AE. Impact of fibrates on circulating cystatin C levels: a systematic review and meta-analysis of clinical trials. Ann Med 2018:1-9
  222. Hadjivasilis A, Kouis P, Kousios A, Panayiotou A. The Effect of Fibrates on Kidney Function and Chronic Kidney Disease Progression: A Systematic Review and Meta-Analysis of Randomised Studies. J Clin Med 2022; 11
  223. Hottelart C, El Esper N, Rose F, Achard JM, Fournier A. Fenofibrate increases creatininemia by increasing metabolic production of creatinine. Nephron 2002; 92:536-541
  224. Hottelart C, el Esper N, Achard JM, Pruna A, Fournier A. [Fenofibrate increases blood creatinine, but does not change the glomerular filtration rate in patients with mild renal insufficiency]. Nephrologie 1999; 20:41-44
  225. National Kidney Foundation. KDOQI Clinical Practice Guideline for Diabetes and CKD: 2012 Update. Am J Kidney Dis 2012; 60:850-886
  226. Gallbladder disease as a side effect of drugs influencing lipid metabolism. Experience in the Coronary Drug Project. N Engl J Med 1977; 296:1185-1190
  227. Caroli-Bosc FX, Le Gall P, Pugliese P, Delabre B, Caroli-Bosc C, Demarquay JF, Delmont JP, Rampal P, Montet JC. Role of fibrates and HMG-CoA reductase inhibitors in gallstone formation: epidemiological study in an unselected population. Dig Dis Sci 2001; 46:540-544
  228. Hall MJ, Nelson LM, Russell RI, Howard AN. Gemfibrozil--the effect of biliary cholesterol saturation of a new lipid-lowering agent and its comparison with clofibrate. Atherosclerosis 1981; 39:511-516
  229. Preiss D, Tikkanen MJ, Welsh P, Ford I, Lovato LC, Elam MB, LaRosa JC, DeMicco DA, Colhoun HM, Goldenberg I, Murphy MJ, MacDonald TM, Pedersen TR, Keech AC, Ridker PM, Kjekshus J, Sattar N, McMurray JJ. Lipid-modifying therapies and risk of pancreatitis: a meta-analysis. JAMA 2012; 308:804-811
  230. Bonovas S, Nikolopoulos GK, Bagos PG. Use of fibrates and cancer risk: a systematic review and meta-analysis of 17 long-term randomized placebo-controlled trials. PLoS One 2012; 7:e45259
  231. Ahmad J, Odin JA, Hayashi PH, Chalasani N, Fontana RJ, Barnhart H, Cirulli ET, Kleiner DE, Hoofnagle JH. Identification and Characterization of Fenofibrate-Induced Liver Injury. Dig Dis Sci 2017; 62:3596-3604
  232. Simental-Mendia LE, Simental-Mendia M, Sanchez-Garcia A, Banach M, Atkin SL, Gotto AM, Jr., Sahebkar A. Effect of fibrates on glycemic parameters: A systematic review and meta-analysis of randomized placebo-controlled trials. Pharmacol Res 2018; 132:232-241
  233. Graham DJ, Staffa JA, Shatin D, Andrade SE, Schech SD, La Grenade L, Gurwitz JH, Chan KA, Goodman MJ, Platt R. Incidence of hospitalized rhabdomyolysis in patients treated with lipid-lowering drugs. JAMA 2004; 292:2585-2590
  234. Gaist D, Rodriguez LA, Huerta C, Hallas J, Sindrup SH. Lipid-lowering drugs and risk of myopathy: a population-based follow-up study. Epidemiology 2001; 12:565-569
  235. Alsheikh-Ali AA, Kuvin JT, Karas RH. Risk of adverse events with fibrates. Am J Cardiol 2004; 94:935-938
  236. Staffa JA, Chang J, Green L. Cerivastatin and reports of fatal rhabdomyolysis. N Engl J Med 2002; 346:539-540
  237. Jones PH, Davidson MH. Reporting rate of rhabdomyolysis with fenofibrate + statin versus gemfibrozil + any statin. Am J Cardiol 2005; 95:120-122
  238. Tobert JA. Efficacy and long-term adverse effect pattern of lovastatin. Am J Cardiol 1988; 62:28J-34J
  239. Stone NJ, Robinson JG, Lichtenstein AH, Bairey Merz CN, Blum CB, Eckel RH, Goldberg AC, Gordon D, Levy D, Lloyd-Jones DM, McBride P, Schwartz JS, Shero ST, Smith SC, Jr., Watson K, Wilson PW, Eddleman KM, Jarrett NM, LaBresh K, Nevo L, Wnek J, Anderson JL, Halperin JL, Albert NM, Bozkurt B, Brindis RG, Curtis LH, DeMets D, Hochman JS, Kovacs RJ, Ohman EM, Pressler SJ, Sellke FW, Shen WK, Smith SC, Jr., Tomaselli GF, American College of Cardiology/American Heart Association Task Force on Practice Guidelines. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2014; 129:S1-45
  240. Kellick KA, Bottorff M, Toth PP, The National Lipid Association's Safety Task Force. A clinician's guide to statin drug-drug interactions. J Clin Lipidol 2014; 8:S30-46
  241. Whitfield LR, Porcari AR, Alvey C, Abel R, Bullen W, Hartman D. Effect of gemfibrozil and fenofibrate on the pharmacokinetics of atorvastatin. J Clin Pharmacol 2011; 51:378-388
  242. Prueksaritanont T, Tang C, Qiu Y, Mu L, Subramanian R, Lin JH. Effects of fibrates on metabolism of statins in human hepatocytes. Drug Metab Dispos 2002; 30:1280-1287
  243. Subramanian S. Hypertriglyceridemia: Pathophysiology, Role of Genetics, Consequences, and Treatment. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, Dungan K, Grossman A, Hershman JM, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Perreault L, Purnell J, Rebar R, Singer F, Trence DL, Vinik A, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  244. Shah AS, Wilson DP. Genetic Disorders Causing Hypertriglyceridemia in Children and Adolescents. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, Dungan K, Grossman A, Hershman JM, Kaltsas G, Koch C, Kopp P, Korbonits M, McLachlan R, Morley JE, New M, Perreault L, Purnell J, Rebar R, Singer F, Trence DL, Vinik A, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  245. Chait A, Eckel RH. The Chylomicronemia Syndrome Is Most Often Multifactorial: A Narrative Review of Causes and Treatment. Ann Intern Med 2019; 170:626-634
  246. Witztum JL, Gaudet D, Freedman SD, Alexander VJ, Digenio A, Williams KR, Yang Q, Hughes SG, Geary RS, Arca M, Stroes ESG, Bergeron J, Soran H, Civeira F, Hemphill L, Tsimikas S, Blom DJ, O'Dea L, Bruckert E. Volanesorsen and Triglyceride Levels in Familial Chylomicronemia Syndrome. N Engl J Med 2019; 381:531-542
  247. Witztum JL, Gaudet D, Arca M, Jones A, Soran H, Gouni-Berthold I, Stroes ESG, Alexander VJ, Jones R, Watts L, Xia S, Tsimikas S. Volanesorsen and triglyceride levels in familial chylomicronemia syndrome: Long-term efficacy and safety data from patients in an open-label extension trial. J Clin Lipidol 2023; 17:342-355
  248. Arca M, Hsieh A, Soran H, Rosenblit P, O'Dea L, Stevenson M. The effect of volanesorsen treatment on the burden associated with familial chylomicronemia syndrome: the results of the ReFOCUS study. Expert Rev Cardiovasc Ther 2018; 16:537-546
  249. Gaudet D, Alexander VJ, Baker BF, Brisson D, Tremblay K, Singleton W, Geary RS, Hughes SG, Viney NJ, Graham MJ, Crooke RM, Witztum JL, Brunzell JD, Kastelein JJ. Antisense Inhibition of Apolipoprotein C-III in Patients with Hypertriglyceridemia. N Engl J Med 2015; 373:438-447
  250. Gouni-Berthold I, Alexander VJ, Yang Q, Hurh E, Steinhagen-Thiessen E, Moriarty PM, Hughes SG, Gaudet D, Hegele RA, O'Dea LSL, Stroes ESG, Tsimikas S, Witztum JL, COMPASS Study Group. Efficacy and safety of volanesorsen in patients with multifactorial chylomicronaemia (COMPASS): a multicentre, double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Diabetes Endocrinol 2021; 9:264-275
  251. Digenio A, Dunbar RL, Alexander VJ, Hompesch M, Morrow L, Lee RG, Graham MJ, Hughes SG, Yu R, Singleton W, Baker BF, Bhanot S, Crooke RM. Antisense-Mediated Lowering of Plasma Apolipoprotein C-III by Volanesorsen Improves Dyslipidemia and Insulin Sensitivity in Type 2 Diabetes. Diabetes Care 2016; 39:1408-1415
  252. Oral EA, Garg A, Tami J, Huang EA, O'Dea LSL, Schmidt H, Tiulpakov A, Mertens A, Alexander VJ, Watts L, Hurh E, Witztum JL, Geary RS, Tsimikas S. Assessment of efficacy and safety of volanesorsen for treatment of metabolic complications in patients with familial partial lipodystrophy: Results of the BROADEN study: Volanesorsen in FPLD; The BROADEN Study. J Clin Lipidol 2022; 16:833-849
  253. Lightbourne M, Startzell M, Bruce KD, Brite B, Muniyappa R, Skarulis M, Shamburek R, Gharib AM, Ouwerkerk R, Walter M, Eckel RH, Brown RJ. Volanesorsen, an antisense oligonucleotide to apolipoprotein C-III, increases lipoprotein lipase activity and lowers triglycerides in partial lipodystrophy. J Clin Lipidol 2024; 16:850-862
  254. Graham MJ, Lee RG, Bell TA, 3rd, Fu W, Mullick AE, Alexander VJ, Singleton W, Viney N, Geary R, Su J, Baker BF, Burkey J, Crooke ST, Crooke RM. Antisense oligonucleotide inhibition of apolipoprotein C-III reduces plasma triglycerides in rodents, nonhuman primates, and humans. Circ Res 2013; 112:1479-1490
  255. Paik J, Duggan S. Volanesorsen: First Global Approval. Drugs 2019; 79:1349-1354
  256. Hegele RA, Tsimikas S. Lipid-Lowering Agents. Circ Res 2019; 124:386-404
  257. Alexander VJ, Karwatowska-Prokopczuk E, Prohaska TA, Li L, Geary RS, Gouni-Berthold I, Oral EA, Hegele RA, Stroes ESG, Witztum JL, Tsimikas S. Volanesorsen to Prevent Acute Pancreatitis in Hypertriglyceridemia. N Engl J Med 2024; 390:476-477
  258. Prohaska TA, Alexander VJ, Karwatowska-Prokopczuk E, Tami J, Xia S, Witztum JL, Tsimikas S. APOC3 inhibition with volanesorsen reduces hepatic steatosis in patients with severe hypertriglyceridemia. J Clin Lipidol 2023; 17:406-411
  259. Lee SJ, Campos H, Moye LA, Sacks FM. LDL containing apolipoprotein CIII is an independent risk factor for coronary events in diabetic patients. Arterioscler Thromb Vasc Biol 2003; 23:853-858
  260. Luc G, Fievet C, Arveiler D, Evans AE, Bard JM, Cambien F, Fruchart JC, Ducimetiere P. Apolipoproteins C-III and E in apoB- and non-apoB-containing lipoproteins in two populations at contrasting risk for myocardial infarction: the ECTIM study. Etude Cas Temoins sur 'Infarctus du Myocarde. J Lipid Res 1996; 37:508-517
  261. Sacks FM, Alaupovic P, Moye LA, Cole TG, Sussex B, Stampfer MJ, Pfeffer MA, Braunwald E. VLDL, apolipoproteins B, CIII, and E, and risk of recurrent coronary events in the Cholesterol and Recurrent Events (CARE) trial. Circulation 2000; 102:1886-1892
  262. Qamar A, Khetarpal SA, Khera AV, Qasim A, Rader DJ, Reilly MP. Plasma apolipoprotein C-III levels, triglycerides, and coronary artery calcification in type 2 diabetics. Arterioscler Thromb Vasc Biol 2015; 35:1880-1888
  263. Pollin TI, Damcott CM, Shen H, Ott SH, Shelton J, Horenstein RB, Post W, McLenithan JC, Bielak LF, Peyser PA, Mitchell BD, Miller M, O'Connell JR, Shuldiner AR. A null mutation in human APOC3 confers a favorable plasma lipid profile and apparent cardioprotection. Science 2008; 322:1702-1705
  264. Tg, Hdl Working Group of the Exome Sequencing Project, National Heart, Lung, Blood, Institute, Crosby J, Peloso GM, Auer PL, Crosslin DR, Stitziel NO, Lange LA, Lu Y, Tang ZZ, Zhang H, Hindy G, Masca N, Stirrups K, Kanoni S, Do R, Jun G, Hu Y, Kang HM, Xue C, Goel A, Farrall M, Duga S, Merlini PA, Asselta R, Girelli D, Olivieri O, Martinelli N, Yin W, Reilly D, Speliotes E, Fox CS, Hveem K, Holmen OL, Nikpay M, Farlow DN, Assimes TL, Franceschini N, Robinson J, North KE, Martin LW, DePristo M, Gupta N, Escher SA, Jansson JH, Van Zuydam N, Palmer CN, Wareham N, Koch W, Meitinger T, Peters A, Lieb W, Erbel R, Konig IR, Kruppa J, Degenhardt F, Gottesman O, Bottinger EP, O'Donnell CJ, Psaty BM, Ballantyne CM, Abecasis G, Ordovas JM, Melander O, Watkins H, Orho-Melander M, Ardissino D, Loos RJ, McPherson R, Willer CJ, Erdmann J, Hall AS, Samani NJ, Deloukas P, Schunkert H, Wilson JG, Kooperberg C, Rich SS, Tracy RP, Lin DY, Altshuler D, Gabriel S, Nickerson DA, Jarvik GP, Cupples LA, Reiner AP, Boerwinkle E, Kathiresan S. Loss-of-function mutations in APOC3, triglycerides, and coronary disease. N Engl J Med 2014; 371:22-31
  265. Jorgensen AB, Frikke-Schmidt R, Nordestgaard BG, Tybjaerg-Hansen A. Loss-of-function mutations in APOC3 and risk of ischemic vascular disease. N Engl J Med 2014; 371:32-41
  266. Wanninayake S, Ochoa-Ferraro A, Patel K, Ramachandran R, Wierzbicki AS, Dawson C. Two successful pregnancies -in patients taking Volanesorsen for familial chylomicronemia syndrome. JIMD Rep 2024; 65:249-254
  267. Stroes ESG, Alexander VJ, Karwatowska-Prokopczuk E, Hegele RA, Arca M, Ballantyne CM, Soran H, Prohaska TA, Xia S, Ginsberg HN, Witztum JL, Tsimikas S, Balance I. Olezarsen, Acute Pancreatitis, and Familial Chylomicronemia Syndrome. N Engl J Med 2024; 390:1781-1792
  268. Bergmark BA, Marston NA, Prohaska TA, Alexander VJ, Zimerman A, Moura FA, Murphy SA, Goodrich EL, Zhang S, Gaudet D, Karwatowska-Prokopczuk E, Tsimikas S, Giugliano RP, Sabatine MS, Bridge TaI. Olezarsen for Hypertriglyceridemia in Patients at High Cardiovascular Risk. N Engl J Med 2024; 390:1770-1780
  269. Karwatowska-Prokopczuk E, Tardif JC, Gaudet D, Ballantyne CM, Shapiro MD, Moriarty PM, Baum SJ, Amour ES, Alexander VJ, Xia S, Otvos JD, Witztum JL, Tsimikas S, Olezarsen Trial I. Effect of olezarsen targeting APOC-III on lipoprotein size and particle number measured by NMR in patients with hypertriglyceridemia. J Clin Lipidol 2022; 16:617-625
  270. Scott LJ. Alipogene tiparvovec: a review of its use in adults with familial lipoprotein lipase deficiency. Drugs 2015; 75:175-182
  271. Fisher RM, Humphries SE, Talmud PJ. Common variation in the lipoprotein lipase gene: effects on plasma lipids and risk of atherosclerosis. Atherosclerosis 1997; 135:145-159
  272. Rip J, Nierman MC, Ross CJ, Jukema JW, Hayden MR, Kastelein JJ, Stroes ES, Kuivenhoven JA. Lipoprotein lipase S447X: a naturally occurring gain-of-function mutation. Arterioscler Thromb Vasc Biol 2006; 26:1236-1245
  273. Gaudet D, Methot J, Dery S, Brisson D, Essiembre C, Tremblay G, Tremblay K, de Wal J, Twisk J, van den Bulk N, Sier-Ferreira V, van Deventer S. Efficacy and long-term safety of alipogene tiparvovec (AAV1-LPLS447X) gene therapy for lipoprotein lipase deficiency: an open-label trial. Gene Ther 2013; 20:361-369
  274. Carpentier AC, Frisch F, Labbe SM, Gagnon R, de Wal J, Greentree S, Petry H, Twisk J, Brisson D, Gaudet D. Effect of alipogene tiparvovec (AAV1-LPL(S447X)) on postprandial chylomicron metabolism in lipoprotein lipase-deficient patients. J Clin Endocrinol Metab 2012; 97:1635-1644
  275. Gaudet D, Stroes ES, Methot J, Brisson D, Tremblay K, Bernelot Moens SJ, Iotti G, Rastelletti I, Ardigo D, Corzo D, Meyer C, Andersen M, Ruszniewski P, Deakin M, Bruno MJ. Long-Term Retrospective Analysis of Gene Therapy with Alipogene Tiparvovec and Its Effect on Lipoprotein Lipase Deficiency-Induced Pancreatitis. Hum Gene Ther 2016; 27:916-925
  276. Kassner U, Hollstein T, Grenkowitz T, Wuhle-Demuth M, Salewsky B, Demuth I, Dippel M, Steinhagen-Thiessen E. Gene Therapy in Lipoprotein Lipase Deficiency: Case Report on the First Patient Treated with Alipogene Tiparvovec Under Daily Practice Conditions. Hum Gene Ther 2018; 29:520-527
  277. Ahmad Z, Banerjee P, Hamon S, Chan KC, Bouzelmat A, Sasiela WJ, Pordy R, Mellis S, Dansky H, Gipe DA, Dunbar RL. Inhibition of Angiopoietin-Like Protein 3 With a Monoclonal Antibody Reduces Triglycerides in Hypertriglyceridemia. Circulation 2019; 140:470-486
  278. Rosenson RS, Rader DJ, Ali S, Banerjee P, McGinniss J, Pordy R. Evinacumab Reduces Triglyceride-Rich Lipoproteins in Patients with Hyperlipidemia: A Post-Hoc Analysis of Three Randomized Clinical Trials. Cardiovasc Drugs Ther 2024;
  279. Rosenson RS, Gaudet D, Ballantyne CM, Baum SJ, Bergeron J, Kershaw EE, Moriarty PM, Rubba P, Whitcomb DC, Banerjee P, Gewitz A, Gonzaga-Jauregui C, McGinniss J, Ponda MP, Pordy R, Zhao J, Rader DJ. Evinacumab in severe hypertriglyceridemia with or without lipoprotein lipase pathway mutations: a phase 2 randomized trial. Nat Med 2023; 29:729-737
  280. Mattijssen F, Kersten S. Regulation of triglyceride metabolism by Angiopoietin-like proteins. Biochim Biophys Acta 2012; 1821:782-789
  281. Kersten S. New insights into angiopoietin-like proteins in lipid metabolism and cardiovascular disease risk. Curr Opin Lipidol 2019; 30:205-211
  282. Musunuru K, Pirruccello JP, Do R, Peloso GM, Guiducci C, Sougnez C, Garimella KV, Fisher S, Abreu J, Barry AJ, Fennell T, Banks E, Ambrogio L, Cibulskis K, Kernytsky A, Gonzalez E, Rudzicz N, Engert JC, DePristo MA, Daly MJ, Cohen JC, Hobbs HH, Altshuler D, Schonfeld G, Gabriel SB, Yue P, Kathiresan S. Exome sequencing, ANGPTL3 mutations, and familial combined hypolipidemia. N Engl J Med 2010; 363:2220-2227
  283. Dewey FE, Gusarova V, Dunbar RL, O'Dushlaine C, Schurmann C, Gottesman O, McCarthy S, Van Hout CV, Bruse S, Dansky HM, Leader JB, Murray MF, Ritchie MD, Kirchner HL, Habegger L, Lopez A, Penn J, Zhao A, Shao W, Stahl N, Murphy AJ, Hamon S, Bouzelmat A, Zhang R, Shumel B, Pordy R, Gipe D, Herman GA, Sheu WHH, Lee IT, Liang KW, Guo X, Rotter JI, Chen YI, Kraus WE, Shah SH, Damrauer S, Small A, Rader DJ, Wulff AB, Nordestgaard BG, Tybjaerg-Hansen A, van den Hoek AM, Princen HMG, Ledbetter DH, Carey DJ, Overton JD, Reid JG, Sasiela WJ, Banerjee P, Shuldiner AR, Borecki IB, Teslovich TM, Yancopoulos GD, Mellis SJ, Gromada J, Baras A. Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease. N Engl J Med 2017; 377:211-221
  284. Stitziel NO, Khera AV, Wang X, Bierhals AJ, Vourakis AC, Sperry AE, Natarajan P, Klarin D, Emdin CA, Zekavat SM, Nomura A, Erdmann J, Schunkert H, Samani NJ, Kraus WE, Shah SH, Yu B, Boerwinkle E, Rader DJ, Gupta N, Frossard PM, Rasheed A, Danesh J, Lander ES, Gabriel S, Saleheen D, Musunuru K, Kathiresan S, Myocardial Infarction Genetics Consortium, Investigators. ANGPTL3 Deficiency and Protection Against Coronary Artery Disease. J Am Coll Cardiol 2017; 69:2054-2063
  285. Berglund L, Brunzell JD, Goldberg AC, Goldberg IJ, Sacks F, Murad MH, Stalenhoef AF, Endocrine Society. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab 2012; 97:2969-2989
  286. Jacobson TA, Ito MK, Maki KC, Orringer CE, Bays HE, Jones PH, McKenney JM, Grundy SM, Gill EA, Wild RA, Wilson DP, Brown WV. National lipid association recommendations for patient-centered management of dyslipidemia: part 1--full report. J Clin Lipidol 2015; 9:129-169
  287. Chait A, Feingold KR. Approach to patients with hypertriglyceridemia. Best Pract Res Clin Endocrinol Metab 2023; 37:101659
  288. Feingold KR. Dyslipidemia in Patients with Diabetes. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.
  289. Feingold KR. The Effect of Endocrine Disorders on Lipids and Lipoproteins. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, New M, Purnell J, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2023.

The Effect of Inflammation and Infection on Lipids and Lipoproteins

ABSTRACT

 

Chronic inflammatory diseases, such as rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and psoriasis and infections, such as periodontal disease and HIV, are associated with an increased risk of cardiovascular disease. Patients with these disorders also have an increase in coronary artery calcium measured by CT and carotid intima media thickness measured by ultrasound. Inflammation and infections induce a variety of alterations in lipid metabolism that may initially dampen inflammation or fight infection, but if chronic could contribute to the increased risk of atherosclerosis. The most common changes are decreases in serum HDL and increases in TGs. The increase in serum TGs is due to both an increase in hepatic VLDL production and secretion and a decrease in the clearance of TG rich lipoproteins. The mechanisms by which inflammation and infection decrease HDL levels are uncertain. With inflammation there is also a consistent increase in Lp(a) levels due to increased apo (a) synthesis. LDL levels are frequently decreased but the prevalence of small dense LDL is increased due to the exchange of TGs from TG rich lipoproteins to LDL followed by TG hydrolysis. In addition to affecting serum lipid levels, inflammation also adversely affects lipoprotein function. LDL is more easily oxidized as the ability of HDL to prevent the oxidation of LDL is diminished. Moreover, there are a number of steps in the reverse cholesterol transport pathway that are adversely affected during inflammation. The greater the severity of the underlying inflammatory disease, the more consistently these abnormalities in lipids and lipoproteins are observed. Treatment of the underlying disease leading to a reduction in inflammation results in the return of the lipid profile towards normal. The changes in lipids and lipoproteins that occur during inflammation and infection are part of the innate immune response and therefore are likely to play an important role in protecting the host. The standard risk calculators for predicting cardiovascular disease (ACC/AHA, Framingham, SCORE, etc.) underestimate the risk in patients with inflammation. It has been recommended to increase the calculated risk by approximately 50% in patients with severe inflammatory disorders. The treatment of lipid disorders in patients with inflammatory disorders is similar to patients without inflammatory disorders. Of note statins have anti-inflammatory properties and have been reported to have beneficial effects on some of these inflammatory disorders.

 

INTRODUCTION

 

A number of chronic inflammatory diseases, including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), ankylosing spondylitis, gout, Sjögren's syndrome, polymyalgia rheumatica, inflammatory bowel disease, pernicious anemia, multiple sclerosis, myasthenia gravis, vitiligo, and psoriasis are associated with an increased risk of cardiovascular disease (1-11). For example, in a meta-analysis of twenty-four studies comprising 111,758 patients with 22,927 cardiovascular events it was observed that there was a 50% increased risk of CVD death in patients with RA (12). The greater the disease activity the greater the risk of cardiovascular disease (13). In some studies patients with RA have a similar or greater risk for a cardiovascular event than patients with diabetes (14,15). Similarly, women with SLE in the 35- to 44-year age group were over 50 times more likely to have a myocardial infarction than were women of similar age in the Framingham Offspring Study (16). As a final example, a meta-analysis of 14 studies reported that in individuals with severe psoriasis the risk for cardiovascular mortality was 1.37, the risk for myocardial infarction was 3.04, and the risk for stroke was 1.59 times higher than the general population (17). It should be noted that the pathology in psoriasis is localized to the skin but nevertheless even this disorder, by inducing systemic inflammation, is associated with an increased risk of cardiovascular disease.

 

Further, supporting the link of RA, SLE, and psoriasis with atherosclerosis are studies showing that patients with these disorders have an increase in coronary artery calcium measured by CT and carotid intima media thickness measured by ultrasound (18-24). Finally, even children and adolescents with SLE have an increase in carotid intimal-medial thickness (25). Thus, it is clear that patients with a number of different chronic inflammatory diseases have an increased risk of atherosclerotic cardiovascular complications.

 

In addition, chronic infections are also associated with an increased risk of atherosclerosis (26-28). Since the development of effective anti-viral agents, it has been widely recognized that a major cause of morbidity and mortality in HIV infected patients is due to cardiovascular disease (29,30). Moreover, numerous studies have demonstrated an association of periodontal infections with an increased risk of atherosclerotic vascular disease (31). Additionally, carotid intima-media thickness is increased in patients with periodontal disease (32-35). The link between various chronic infections, such as HIV, dental infections, Helicobacter pylori, chronic bronchitis, and urinary tract infections with cardiovascular disease is presumably due to the chronic inflammation that accompanies these infections (36). For certain infections such as chlamydia pneumonia and cytomegalovirus it is possible that the association with cardiovascular disease is due to a direct role in the vessel wall.

 

To definitively link inflammation with cardiovascular disease studies determining the effect of anti-inflammatory drugs on cardiovascular events have been carried out. The Cantos study has provided data supporting a link between inflammation and cardiovascular disease (37). In this trial 10,061 patients with a previous myocardial infarction and a hsCRP level of 2 mg/L or more were randomized to canakinumab, a monoclonal antibody targeting interleukin-1β, or placebo. At 48 months canakinumab did not reduce lipid levels from baseline but did reduce hsCRP levels by approximately 30-40% indicating a decrease in inflammation. Most importantly, canakinumab administration led to a significantly lower rate of recurrent cardiovascular events than placebo. In addition, several randomized trials have demonstrated that colchicine reduces cardiovascular events in patients with chronic cardiovascular disease (38-40). It should be noted that a recent trial where colchicine treatment was initiated very soon after an acute myocardial infarction failed to demonstrate a reduction in cardiovascular events in patients treated with colchicine (41). These results support the hypothesis that inflammation increases the risk of cardiovascular events and that reducing inflammation will decrease events. In contrast to the positive trials described above, a trial using methotrexate to inhibit inflammation failed to reduce cardiovascular event (42). However, in this trial methotrexate did not reduce levels of interleukin-1β, interleukin-6, or C-reactive protein raising the possibility that methotrexate did not effectively inhibit inflammation and therefore did not reduce cardiovascular events. Clearly further studies determining the effect of drugs that reduce inflammation on cardiovascular events are required.

 

The mechanisms by which chronic inflammation and infection increase the risk of atherosclerotic cardiovascular disease are likely multifactorial. As will be discussed below inflammation and infection induce a variety of alterations in lipid and lipoprotein metabolism that could contribute to the increased risk of atherosclerosis.     

 

LIPID AND LIPOPROTEIN ABNORMALITIES IN PATIENTS WITH INFLAMMATORY DISORDERS AND INFECTIONS

 

Rheumatoid Arthritis

 

The most consistent abnormality in patients with RA is a decrease in HDL-C and apolipoprotein A-I levels (9,43-46). In particular, small HDL particles are decreased in patients with RA (47). Patients with more severe RA have the greatest reductions in HDL-C levels (43-46,48). There is an inverse correlation of CRP levels with HDL-C levels (i.e., higher CRP levels are associated with lower HDL-C levels). With regards to total cholesterol and LDL-C, there is more variability with many studies showing a decrease, other studies showing no change, and some studies showing an increase in patients with RA (43-46,48). The more severe the RA the greater the likelihood that the LDL-C levels will be decreased. Small dense LDL levels are increased in RA (49,50). Serum triglyceride (TG) levels tend to be increased in patients with RA (43-46,48,51). Levels of lipoprotein (a) (Lp(a)) are characteristically elevated in patients with RA and correlate with CRP levels (52-54).  

 

Systemic Lupus Erythematosus

 

The changes in serum lipids and lipoproteins seen in patients with SLE are very similar to those observed in patients with RA (55-57). Specifically, there is a decrease in HDL-C levels and an increase in serum TG levels. LDL-C levels are variable and maybe increased, normal, or low but small dense LDL levels tend to be increased. In a study of 344 patients 36.6% had elevated LDL-C levels (58). Lp(a) levels are also increased (59). Similar to RA the more severe the disease state the greater the alterations in serum lipid levels.

 

Psoriasis

 

A large number of studies have compared serum lipid levels in controls and patients with psoriasis (60). However, many of these studies included only a small number of subjects and the results have therefore been extremely variable with some studies showing alterations in serum lipid levels in patients with psoriasis and other studies showing no changes. In general, there is a tendency for an increase in serum TGs and a decrease in HDL-C levels in patients with psoriasis (61-65). Additionally, a number of studies showed an increase in LDL-C and Lp(a) levels in patients with psoriasis (61,62,64). Small dense LDL levels and oxidized Lp(a) are also increased in psoriasis (51) (66). This variability between studies is most likely due to differences in the severity of the psoriasis with more severe disease demonstrating more robust alterations in lipid levels. The prevalence of other abnormalities that affect lipid metabolism such as obesity and abnormalities in glucose metabolism could also account for the variability in results.

 

Other Inflammatory Disease

 

Decreased HDL-C levels have also been observed in patients with inflammatory bowel disease, Sjögren's syndrome, and ankylosing spondylitis (67-70). LDL-C and TG levels varied but LDL-C levels tended to be decreased and TG levels increased.

 

Periodontal Disease

 

Differences exist between studies but in general patients with periodontitis tend to have increased LDL-C and TG levels and decreased HDL-C levels (71-75). Additionally, the prevalence of small dense LDL is increased in patients with periodontitis (74,76). The severity of the periodontitis correlated with the changes in the in the lipid profile with patients with increased periodontal disease having higher TG levels, lower HDL-C levels, and smaller LDL particle size (77). Moreover, treatment of periodontitis improved the dyslipidemia, with the HDL-C levels increasing and the LDL-C levels decreasing (74,78,79).  

 

Acute Infections

 

Patients with a variety of different infections (gram positive bacterial, gram negative bacterial, viral, tuberculosis, parasitic) have similar alterations in plasma lipid levels. Specifically, total cholesterol, LDL-C, and HDL-C levels are decreased while plasma TG levels are elevated or inappropriately normal for the poor nutritional status (36,80-87). As expected apolipoprotein A-I, A-II, and B levels are reduced (80,85,86). While LDL-C levels were decreased, the concentration of small dense LDL has been found to be increased during infections (88-90).That plasma cholesterol levels decrease during infection has been known for many years as it was described by Denis in 1919 in the Journal of Biological Chemistry (JBC 29: 93, 1919). The alterations in lipids correlate with the severity of the underlying infection i.e., the more severe the infection the more severe the alterations in lipid and lipoprotein levels (91,92). The decreases in plasma cholesterol levels can be quite profound and a case report described HDL-C levels < 10mg/dl and LDL-C levels < 3mg/dl in sepsis (93). These changes in lipid and lipoprotein levels were also noted during COVID 19 infections (94,95).

 

Of note studies have demonstrated that the degree of reduction in total cholesterol, HDL-C, and apolipoprotein A-I are predictive of mortality in patients with severe sepsis (87,96-100). Moreover, epidemiologic studies have suggested that low cholesterol, LDL-C, and HDL levels increase the chance of developing an infection (101-104). Additionally, a genetic approach, which reduces the risk of confounding variables, has suggested a causal relationship between low HDL-C levels and an increased risk of infections (105,106). During recovery from the infection plasma lipid and lipoprotein abnormalities return towards normal. The changes in lipid and lipoproteins that occur during infection can be experimentally reproduced in humans and animals by the administration of endotoxin and lipoteichoic acid (36,107).   

 

Summary  

 

Thus, in these different inflammatory disorders and infectious diseases, the alterations in plasma lipid and lipoprotein levels are very similar with decreases in plasma HDL being consistently observed. Also of note is the consistent increase in small dense LDL and Lp(a) levels (the increase in Lp(a) occurs in inflammatory diseases but not infections) (36,108). There is also a tendency for plasma TG levels to be elevated, and LDL-C levels decreased. The greater the severity of the underlying disease the more consistently these abnormalities in lipids are observed. Additionally, treatment of the underlying disease leading to a reduction in inflammation results in a return of the lipid profile towards normal. This is best illustrated in periodontal disease where intensive dental hygiene can reverse the abnormalities in the lipid profile (78,79).

 

Table 1. Effect of Inflammation and Infection on Lipid and Lipoprotein Levels

TGs- Tend to be increased

HDL-C- Decreased

LDL-C- Variable but with more severe inflammation or infection they are decreased

Small dense LDL- Increased

Lp(a)- Increased with inflammation; may decrease with certain infections

 

EFFECT OF ANTI-INFLAMMATORY DRUGS ON LIPID LEVELS

 

Treatments that reduce inflammation will return the lipid profile towards normal resulting in an increase in plasm HDL levels and a decrease in TG levels. If LDL levels were reduced at baseline, treatment that reduces inflammation will also result in an increase in LDL levels (i.e., a return towards “normal” levels) (109-111). Many of the drugs used for the treatment of RA, SLE, and psoriasis decrease inflammation and have been shown to increase both HDL and LDL levels (9,109,110,112). The increase in HDL tends to be more robust. In a few instances, drugs used to treat inflammatory disorders have effects on lipid metabolism that are independent of the reduction in inflammation. For example, high dose glucocorticoid treatment results in an increase in serum TG and LDL levels due to the increased production and secretion of VLDL by the liver (113-115) and hydroxychloroquine has been reported to lower total cholesterol, LDL, and TGs in patients with RA and SLE (116-118).

 

PATHOPHYSIOLOGY OF THE DYSLIPIDEMIA OF INFLAMMATION AND INFECTION

 

Inflammation and infections increase the production of a variety of cytokines, including TNF, IL-1, and IL-6, which have been shown to alter lipid metabolism (36). Many of the changes in plasma lipids and lipoproteins that are seen during chronic inflammation and infections are also observed following the acute administration of cytokines (36).

 

Increased TG Levels

 

Multiple cytokines increase serum TG and VLDL levels (TNF, IL-1, IL-2, IL-6, etc.) (36). Administration of LPS (a model of gram-negative infections) or lipoteichoic acid (a model of gram-positive infections), both of which stimulate cytokine production, increase serum TG and VLDL levels within 2 hours and this effect is sustained for at least 24 hours. The increase in serum TGs is due to both an increase in hepatic VLDL production and secretion and a decrease in the clearance of TG rich lipoproteins (figure 1) (36). The increase in VLDL production and secretion is a result of increased hepatic fatty acid synthesis, an increase in adipose tissue lipolysis with the increased transport of fatty acids to the liver, and a decrease in fatty acid oxidation in the liver. Together these changes provide an abundant supply of fatty acids in the liver that stimulate an increase in hepatic TG synthesis (36). The increased availability of TGs leads to the increased formation and secretion of VLDL. The decrease in the clearance of TG rich lipoproteins is due to a decrease in lipoprotein lipase, the key enzyme that metabolizes TGs in the circulation (36). A variety of cytokines have been shown to decrease the synthesis of lipoprotein lipase in adipose and muscle tissue (36). Additionally, sepsis decreases apolipoprotein C2, a cofactor for lipoprotein lipase (119). Studies have also shown that inflammation increases angiopoietin like protein 4, an inhibitor of lipoprotein lipase activity, which would further block the metabolism of TG rich lipoproteins (120). In SLE, antibodies to lipoprotein lipase have been reported and are associated with increased TG levels (121,122).

Figure 1. Pathogenesis of Hypertriglyceridemia.

Production of Small Dense LDL

 

The elevation in TG rich lipoproteins in turn has effects on other lipoproteins (36). Specifically, cholesterol ester transfer protein (CETP) mediates the exchange of TGs from TG rich VLDL and chylomicrons to LDL. The increase in TG rich lipoproteins per se leads to an increase in CETP mediated exchange, increasing the TG content of LDL. The TG on LDL is then hydrolyzed by hepatic lipase leading to the increased production of small dense LDL.

 

Decreased HDL Levels

 

In addition to a decrease in HDL, inflammation can also lead to structural changes in this lipoprotein (36). During inflammation HDL particles tend to be larger with a decrease in cholesterol ester and an increase in free cholesterol, TGs, and free fatty acids. Furthermore, there are marked changes in HDL associated proteins and the enzymes and transfer proteins involved in HDL metabolism and function (figure 2 and 3).

Figure 2. Changes in HDL Protein Composition During Inflammation.

Figure 3. Changes in Enzymes and Transfer Proteins During Inflammation.

The precise mechanism by which inflammation and infection decrease HDL levels is uncertain and is likely to involve multiple mechanisms (36). Decreases in apolipoprotein A-I synthesis in the liver occur during inflammation and would result in the decreased formation of HDL. However, in acute infection and inflammation HDL decreases faster than would be predicted from decreased synthesis of apolipoprotein A-I. Increased serum amyloid A (SAA) production by the liver and other tissues occurs during inflammation and infection and the SAA binds to HDL displacing apolipoprotein A-I, which can accelerate the clearance of HDL. However, the overexpression in SAA in the absence of the acute phase response does not result in a decrease in HDL levels (123). Inflammation results in a decrease in LCAT leading to decreased cholesterol ester formation, which would prevent the formation of normal HDL, leading to decreased cholesterol carried in HDL. Elevations in TG rich lipoproteins that accompany inflammation and infection can lead to the enrichment of HDL with TGs that can accelerate the clearance of HDL. Finally, cytokine induced increases in enzymes such as secretory phospholipase A2 (sPLA2) and endothelial cell lipase, which metabolize key constituents of HDL, could alter the stability and metabolism of HDL. Given the complexity of HDL metabolism, it is not surprising that multiple pathways could be affected by inflammation, which together may account for the decrease in HDL levels.

 

Increased Lp(a)

 

The mechanism accounting for the increase in Lp(a) during inflammation is likely due to increased apo (a) synthesis, as apo (a) is a positive acute phase protein whose expression is up-regulated during inflammation (36,124). The apo (a) gene contains several IL-6 responsive elements that enhance transcription (125). Tocilizumab an antibody against IL-6, that is used to treat RA, has been shown to decrease Lp(a) levels (126) .

 

FUNCTIONAL CHANGES IN LIPOPROTEINS THAT INCREASE THE RISK OF ATHEROSCLEROSIS

 

LDL

 

While the levels of LDL do not consistently increase and may even decrease with inflammation and infection, many studies have indicated that inflammation and infection are associated with small dense LDL (36). These small dense LDL particles are believed to be more pro-atherogenic for a number of reasons (127). Small dense LDL particles have a decreased affinity for the LDL receptor resulting in a prolonged period of time in the circulation. Additionally, they more easily enter the arterial wall and bind more avidly to intra-arterial proteoglycans, which traps them in the arterial wall. Finally, small dense LDL particles are more susceptible to oxidation, which could result in an enhanced uptake by macrophages (128).

 

Several markers of lipid peroxidation, including conjugated dienes, thiobarbituric acid-reactive substances, malondialdehyde, and lipid hydroperoxides are increased in serum and/or circulating LDL during inflammation and infection (36,77,129-132). Moreover, LDL isolated from LPS-treated animals is more susceptible to oxidation in vitro (36). Oxidized LDL is taken up very efficiently by macrophages and is thought to play a major role in foam cell formation in the arterial wall (133). Additionally, antibodies to oxidized LDL are present in patients with SLE and could facilitate the uptake of an antibody LDL complex via the Fc-receptor in macrophages (129). Finally, studies have shown that LDL isolated from patients with periodontal disease leads to enhanced uptake of cholesterol esters by macrophages (77)

 

HDL

 

In addition to a decrease in serum HDL, inflammation and infection affects the anti-atherogenic properties of HDL (36,134,135). Reverse cholesterol transport plays a key role in preventing cholesterol accumulation in macrophages thereby reducing atherosclerosis. Many steps in the reverse cholesterol transport pathway are adversely affected during inflammation and infection (figure 4 and 5)  (48,136). First, cytokines induced by inflammation and infection decrease the production of Apo A-I, the main protein constituent of HDL. Second, pro-inflammatory cytokines decrease the expression of ABCA1, ABCG1, SR-B1, and apolipoprotein E in macrophages, which will lead to a decrease in the efflux of phospholipids and cholesterol from the macrophage to HDL. Third, the structurally altered HDL formed during inflammation is a poor acceptor of cellular cholesterol and in fact may actually deliver cholesterol to the macrophage (48,67,136-143). HDL isolated from patients with RA, SLE, inflammatory bowel disease, Helicobacter pylori infection, psoriasis, ankylosing spondylitis, periodontal disease, and acute sepsis are poor facilitators of cholesterol efflux (67,137-142,144,145). Similarly, the experimental administration of endotoxin to humans also results in the formation of HDL that is a poor facilitator of the efflux of cholesterol from macrophages (146). Of note treatments that reduce inflammation in patients with RA, psoriasis, or periodontitis can restore towards normal the ability of HDL to remove cholesterol from cells (142,147-149). Fourth, pro-inflammatory cytokines decrease the production and activity of LCAT, which will limit the conversion of cholesterol to cholesteryl esters in HDL. This step is required for the formation of a normal spherical HDL particle and facilitates the ability of HDL to transport cholesterol. Fifth, pro-inflammatory cytokines decrease CETP levels, which will decrease the movement of cholesterol from HDL to Apo B containing lipoproteins, an important step in the delivery of cholesterol to the liver. Sixth, pro-inflammatory cytokines decrease the expression of SR-B1 in the liver. SR-B1 plays a key role in the uptake of cholesterol from HDL particles into hepatocytes. Finally, inflammation and infection decrease both the conversion of cholesterol to bile acids and the secretion of cholesterol into the bile, the two mechanisms by which cholesterol is disposed of by the liver.

Figure 4. Effect of Inflammation on Reverse Cholesterol Transport (from reference (136)).

Figure 5. Effect of Inflammation on the Factors Involved in Reverse Cholesterol Transport (from reference (136)).\

Another important function of HDL is to prevent the oxidation of LDL. Oxidized LDL is more easily taken up by macrophages and is pro-atherogenic (133). Paraoxonase is an enzyme that is associated with HDL and plays a key role in preventing the oxidation of LDL. Inflammation and infection decrease the expression of paraoxonase 1 in the liver resulting in a decrease in circulating paraoxonase activity (36). Plasma paraoxonase levels are decreased in patients with RA, SLE, psoriasis, and infections (150-158) Studies have shown that HDL isolated from patients with RA and SLE have a diminished ability to protect LDL from oxidation and in fact may facilitate LDL oxidation (134). Moreover, in patients with RA, reducing inflammation and disease activity with methotrexate treatment restored HDL function towards normal (159). Additionally, treatment with atorvastatin 80mg improved the function of HDL in patients with RA (160). 

 

Thus, it should be recognized that in patients with inflammatory disorders and infections the absolute levels of lipids and lipoproteins may not be the only factor increasing the risk of atherosclerosis (36,60,130,134-136). Rather functional changes in LDL and HDL may be pro-atherogenic and thereby contribute to the increased risk of atherosclerosis in inflammatory disorders and infections. Additionally, the increase in Lp(a) may also play an important role. In an analysis of the UK Biobank the combination of autoimmune conditions and elevated Lp(a) had a high risk of cardiovascular disease than either of these conditions alone ((combination of autoimmune conditions and elevated Lp(a) HR 1.77; only elevated Lp(a) HR 1.23; only autoimmune conditions HR, 1.28) (161).

 

Table 2. Pro-Atherogenic Changes During Inflammation

Increased TGs

Decreased HDL

Increased small dense LDL

Increased Lp(a)

Oxidized LDL

Dysfunctional HDL

 

BENEFICIAL EFFECTS OF LIPIDS DURING INFECTIONS AND INFLAMMATION

 

The changes in lipids and lipoproteins that occur during inflammation and infection are part of the innate immune response and therefore are likely to play an important role in protecting from the detrimental effects of infection and inflammatory stimuli (36,162-164). Some of the potential beneficial effects are listed in Table 3. Thus, the changes in lipid and lipoprotein metabolism that occur during inflammation may initially be protective but if chronic it can increase the risk of atherosclerosis.

 

Table 3. Beneficial Effects of Lipoproteins

Redistribution of nutrients to immune cells that are important in host defense

Lipoproteins bind endotoxin, lipoteichoic acid, viruses, and other biological agents and prevent their toxic effects

Lipoproteins bind urate crystals

Lipoproteins bind and target parasites for destruction

Apolipoproteins neutralize viruses

Apolipoproteins lyse parasites

 

LIPID MANAGEMENT IN A PATIENT WITH AN INFLAMMATORY DISEASE

 

Deciding When to Treat

 

As noted earlier, patients with inflammatory disorders are at an increased risk for atherosclerosis and this is not totally accounted for by standard lipid profile measurements and other risk factors (1-3,9). Some authors have advocated considering inflammatory disorders as a cardiovascular risk equivalent similar to diabetes; risk calculators commonly used for deciding on lipid lowering therapy do not take into account this increased risk in patients with inflammatory disorders (3,165,166). It should be noted that the QRISK calculator (http://qrisk.org/) does factor in the presence of RA when calculating risk (167). Not surprisingly, the standard risk calculators for predicting cardiovascular disease underestimate the risk in this population (168-174). Even the Reynolds Risk Calculator (http://www.reynoldsriskscore.org/Default.aspx), which uses measurements of hsCRP levels, a marker of inflammation, underestimates the risk of cardiovascular events in patients with inflammatory disorders (168-172,175). Thus, using these calculators will underestimate cardiovascular risk in patients with inflammatory disorders. However, in both the 2018 American College of Cardiology/American Heart Association and 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) guideline recommendations, the presence of inflammatory disease is included as a risk factor, which can influence decisions on whether to initiate treatment (176,177).

 

A reasonable approach is to use the standard approach and calculators but increase the calculated risk by approximately 50% in patients with severe inflammatory disorders. For example, if a patient with severe RA has a 5% ten-year risk and 40% lifetime risk one might increase the ten-year risk to 7.5% and lifetime risk to 60%. This approach has been recommended by an expert committee who advocated introducing a 1.5 multiplication factor (i.e., 50% increase) in patients with RA (9). Alternatively, one could carry out imaging studies such as obtaining a coronary artery calcium score to better define risk. Whatever the approach taken, it is crucial to recognize that patients with inflammatory diseases have an increased risk of cardiovascular disease and therefore one needs to be more aggressive in treating risk factors.

 

Because Lp(a) levels are increased by inflammation it is important to measure Lp(a) levels in patients with inflammatory disorders. An elevated Lp(a) level would be an indication for more aggressive treatment of lipid levels and other cardiovascular risk factors.

 

Guidelines from the American College of Cardiology (ACC)/American Heart Association (AHA) and European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) are briefly summarized in table 4, 5,and 6 (176,177) and are discussed in detail in the Endotext chapter “Guidelines for the Management of High Blood Cholesterol” (178).

 

Table 4. ACC/AHA Guidelines

In patients with clinical ASCVD initiate high intensity statin therapy or maximally tolerated statin therapy. High intensity statin therapy is atorvastatin 40-80mg per day or rosuvastatin 20-40mg per day.

In very high-risk ASCVD, use an LDL-C > 70 mg/dL (1.8 mmol/L) to consider addition of non-statins (ezetimibe or PCSK9 inhibitors). Very high-risk includes a history of multiple major ASCVD events or 1 major ASCVD event and multiple high-risk conditions.

In patients with LDL-C ≥190 mg/dL [≥4.9 mmol/L]) begin high-intensity statin therapy. If the LDL-C level remains ≥100 mg/dL (≥2.6 mmol/L), adding ezetimibe is reasonable.

In patients with diabetes aged 40-75 years with an LDL > 70mg/dL begin moderate intensity statin therapy. For patients > 50 years of age consider high intensity statin to achieve a 50% reduction in LDL-C.

In adults 40 to 75 years of age without diabetes mellitus and with LDL-C levels ≥70 mg/dL (≥1.8 mmol/L) start a moderate-intensity statin if the 10-year ASCVD risk is ≥7.5%. Moderate intensity therapy is atorvastatin 10-20mg, rosuvastatin 5-10mg, simvastatin 20-40mg, pravastatin 40mg.

 

Table 5. ESC/EAS Cardiovascular Risk Categories

Very High-Risk

ASCVD, either clinical or unequivocal on imaging

DM with target organ damage or at least three major risk factors or T1DM of long duration (>20 years)

Severe CKD (eGFR <30 mL/min/1.73 m2)

A calculated SCORE >10% for 10-year risk of fatal CVD.

Familial Hypercholesterolemia with ASCVD or with another major risk factor

High Risk

Markedly elevated single risk factors, in particular total cholesterol >8 mmol/L (>310mg/dL), LDL-C >4.9 mmol/L (>190 mg/dL), or BP >180/110 mmHg.

Patients with FH without other major risk factors.

Patients with DM without target organ damage, a with DM duration >_10 years or another additional risk factor.

Moderate CKD (eGFR 30-59 mL/min/1.73 m2).

A calculated SCORE >5% and <10% for 10-year risk of fatal CVD.

Moderate Risk

Young patients (T1DM <35 years; T2DM <50 years) with DM duration <10 years, without other risk factors.

Calculated SCORE >1 % and <5% for 10-year risk of fatal CVD.

Low Risk

Calculated SCORE <1% for 10-year risk of fatal CVD

 

Table 6. ESC/EAS LDL Cholesterol Goals

Very High Risk

LDL-C reduction of >50% from baseline and an LDL-C goal of <1.4 mmol/L (<55 mg/dL) is recommended

High Risk

LDL-C reduction of >50% from baseline and an LDL-C goal of <1.8 mmol/L (<70 mg/dL) is recommended

Moderate Risk

LDL-C goal of <2.6 mmol/L (<100 mg/dL) should be considered

Low Risk

LDL-C goal <3.0 mmol/L (<116 mg/dL) may be considered.

 

Treatment Approach

 

As in all patients with lipid abnormalities the initial approach is lifestyle changes. Dietary recommendations are not unique in patients with inflammatory disorders. Exercise is recommended but depending upon the clinical situation the ability of patients with certain inflammatory disorders to participate in an exercise regimen may be limited. Exercise programs need to be tailored for each patient’s capabilities. Treatment of the underlying disease to decrease inflammation is likely to be beneficial (9,179). Studies have shown that increased disease activity is associated with a greater risk of cardiovascular disease while lower disease activity is associated with a lower risk (9,180-186). Moreover, treatments that reduce disease activity can decrease cardiovascular risk (9,179). In patients with RA treatment with tumor necrosis factor inhibitors or methotrexate reduced the risk of cardiovascular disease (187).

 

Drug Therapy

 

This section on drug therapy will focus on the drugs widely used to reduce LDL-C levels (statins, ezetimibe, PCSK9 inhibitors, and bempedoic acid) and solely on the studies that are focused on patients with inflammatory diseases. Detailed information on the use of these and other lipid lowering drugs can be found in the Endotext chapters on cholesterol lowering drugs and TG lowering drugs (188,189).

 

STATIN THERAPY

 

As expected, studies have demonstrated that statins lower LDL-C levels in patients with inflammatory disorders to a similar degree as patients without inflammatory disorders. For example, in a randomized trial in 116 patients with RA with a mean LDL-C level of 125mg/dl, the effect of atorvastatin 40mg was compared to placebo (190). Atorvastatin reduced LDL-C by 54mgdl vs. 3mg/dl in the placebo group (190). Similarly in the IDEAL trial there was a small subgroup of patients with RA (191). The IDEAL trial compared the ability of atorvastatin 80mg vs. simvastatin 20-40mg to reduce cardiovascular events. The lowering of LDL-C with either simvastatin or atorvastatin was similar in the patients with and without RA (191). Finally, a combined analysis of the IDEAL, Treat to New Target (TNT), and CARDS trials reported that the decrease in LDL-C levels with statin therapy was similar in patients with or without psoriasis (192). Studies have shown similar reductions in LDL-C levels with statin therapy in patients with SLE and HIV infections (193-196). The effects of statin treatment on other lipid parameters were also similar in patients with and without inflammatory diseases. Thus, as expected statins improve the lipid profile in patients with inflammatory disorders.

 

In some studies, the incidence of statin associated side effects have been increased in patients with inflammatory disorders. Specifically, in the IDEAL trial RA patients reported myalgia more frequently than patients without RA (10.4% and 7.7% in RA patients vs 1.1% and 2.2% in non-RA patients receiving simvastatin and atorvastatin respectively) (191). Note that this does not necessarily indicate that statins induce myalgias more frequently in patients with RA as there was not a placebo group in the IDEAL trial. Rather it is likely that patients with RA have an increased prevalence of myalgias.

 

A primary prevention cardiovascular outcome study evaluated the effect of statin therapy in individuals living with HIV (196). In this trial 7769 participants with HIV infection with a low-to-moderate risk of cardiovascular disease were randomized to receive pitavastatin 4 mg or placebo. The incidence of a major adverse cardiovascular event was reduced by 35% in the pitavastatin group (HR 0.65; 95% CI 0.48 to 0.90; P = 0.002). Pitavastatin lowered LDL-C by approximately 30mg/dL and thus the decrease in cardiovascular events was greater than predicted based on the Cholesterol Treatment Trialists meta-analysis (approximately 20% decrease in events per 39mg/dL decrease in LDL-C) (197).   

 

There are no large randomized controlled trials evaluating the impact of statin therapy on cardiovascular disease outcomes in patients with other inflammatory diseases. A subgroup analysis of a small number of patients with SLE in the ALERT study has been reported (198). The ALERT study was a randomized placebo-controlled trial examining the effect of fluvastatin 40-80mg on cardiovascular events after kidney transplantation. In this trial fluvastatin therapy reduced the risk of cardiovascular events by 74% in the patients with SLE (198). Additionally, a post hoc analysis of patients with inflammatory arthritis in the IDEAL and TNT trial has been reported (199). The IDEAL trial compared atorvastatin 80mg vs simvastatin 20-40mg and the TNT compared atorvastatin 80mg vs. atorvastatin 10mg. In these trials, statin therapy resulted in a decrease in lipid levels in the patients with inflammatory arthritis to a similar degree as patients without inflammatory arthritis (199). Moreover, there was an approximate 20% reduction in the risk of cardiovascular events in patients treated with atorvastatin 80mg compared to moderate dose statin therapy in patients with and without inflammatory arthritis (199). Similarly, a post hoc analysis of the IDEAL and TNT trials reported a similar reduction in cardiovascular events with high dose statin therapy compared to low dose statin therapy in patients with psoriasis (192). A trial that focused solely on patients with RA was initiated but stopped early due to a lower than expected event rate (200). In this trial 3,002 patients with RA were randomized to atorvastatin 40mg/day vs. placebo for a median of 2.51 years.  As expected, the reduction in LDL-C levels was significantly greater in the atorvastatin group compared to placebo (-30mg/dL, p<0.001). There was a 34% risk reduction for major cardiovascular events in the atorvastatin group compared to placebo that was not statistically significant due to the small number of events. Of note, the decrease in events was actually greater than expected based on the Cholesterol Treatment Trialists’ Collaboration meta-analysis of the effect of statins in other populations (42% decrease per 39mg/dL in this trial whereas in the large collaboration meta-analysis there was a 20% decrease per 39mg/dL) (197). The number and type of adverse events were similar in the atorvastatin and placebo groups. Taken together these results strongly suggest that patients with inflammatory diseases will have a reduction in cardiovascular events with statin therapy similar to or greater to what is observed in patients without inflammatory disorders.

 

It is well recognized that statins have anti-inflammatory properties and studies have consistently demonstrated a decrease in hsCRP levels in patients treated with statins (189). A meta-analysis by Ly et al included 15 studies with 992 patients and reported that statin therapy decreased erythrocyte sedimentation rate, CRP, tender joint count, swollen joint count, and morning stiffness (201). Similarly, a meta-analysis by Xing et al included 13 studies with 737 patients (202). They reported that statin therapy decreased erythrocyte sedimentation rate, CRP, tender joint count, and swollen joint count (202). Additionally, the disease activity score 28 (DAS28), which focuses on joint pathology, decreased significantly in the patients treated with statin therapy and the patients with the most active disease benefited the most (202,203). A recent meta-analysis by Ren and Li found similar beneficial effects of statin therapy on RA (204).

 

In contrast to the beneficial effects seen in patients with RA, in randomized placebo controlled trials in patients with SLE studies by Plazak et al and Petri et al failed to show a decrease in disease activity with statin therapy (194,205). In psoriasis treatment with statins has produced mixed results with some studies showing a decrease in skin abnormalities and others showing no significant effect or even an increase in disease activity (206). A meta-analysis of 5 randomized trials with 223 patients found that statins may improve psoriasis, particularly in patients with severe disease (207). Finally, treatment with statins has been shown to improve periodontal disease and reduce inflammation (208-210). Thus, statins can decrease the clinical manifestations of RA, periodontitis, and perhaps psoriasis but has no effect on the clinical manifestations of SLE. These differences could be due to the relative severity of the inflammatory response and/or the specific pathways that induce inflammation in these different disorders.

 

The effect of statins on outcomes in patients with sepsis has been extensively studied. Numerous observational studies have shown that patients treated with statins have a marked reduction in morbidity and mortality (211,212). For example, in a meta-analysis by Wan et al of 27 observational studies with 337,648 patients, statins were associated with a relative mortality risk of 0.65 (CI 0.57-0.75) (212). However, in randomized placebo controlled clinical trials statin administration has not been shown to reduce mortality or improve outcomes (211-214). For example in a meta-analysis by Wan et al of 5 randomized controlled trials with 867 patients the relative risk was 0.98 (212). Similarly, a meta-analysis by Pertzov et al of fourteen randomized trials evaluating 2628 patients also did not observe any benefits of statin therapy in patients with sepsis (215). Additionally, a recent study examining the effect of rosuvastatin on sepsis associated acute respiratory distress also failed to demonstrate a benefit of statin therapy (216). Finally, meta-analyses of observational studies have found that statins in patients with COVID-19 infections are beneficial (217,218) but randomized trials have not consistently demonstrated that statin treatment was beneficial (219-222). Thus, while observational data suggested that statins may be beneficial the more rigorous randomized placebo-controlled trials have not provided clear evidence of benefit.

 

EZETIMIBE THERAPY

 

There is a single six-week trial in 20 patients with RA that demonstrated that ezetimibe treatment decreased total cholesterol, LDL-C, and CRP levels (223). Moreover, ezetimibe treatment reduced disease activity (223). The mechanism for this beneficial effect is unclear.

 

PCSK9 INHIBITORS

 

The FOURIER trial was a cardiovascular outcome trial using the PCSK9 inhibitor evolocumab. In this very large trial 889 patients (3.2%) had an autoimmune or inflammatory disease, most commonly rheumatoid arthritis (33.7%) or psoriasis (15.6%) (224). The baseline LDL cholesterol levels in patients with or without an autoimmune or inflammatory disease were very similar and the reduction in LDL-C with a PCSK9 inhibitor was virtually identical in patients with or without an autoimmune or inflammatory disease (approximately 60%). Baseline hsCRP levels were higher in patients with an autoimmune or inflammatory disease and did not change with PCSK9 inhibitor treatment in patients with or without an autoimmune or inflammatory disease. Notably, compared with placebo, treatment with a PCSK9 inhibitor reduced the rate of the primary end point of cardiovascular death, myocardial infarction, stroke, unstable angina, or coronary revascularization by 14% in patients without an autoimmune or inflammatory disease and by 42% in patients with an autoimmune or inflammatory disease. These results demonstrate that in patients with autoimmune or inflammatory diseases PCSK9 inhibitors reduce LDL-C levels and are effective in decreasing cardiovascular events.

 

BEMPEDOIC ACID

 

The author is not aware of clinical trials of bempedoic acid in patients with inflammatory diseases or infections.

 

Treatment Strategy

 

The first priority in treating lipid disorders is to lower the LDL-C levels to goal, unless TGs are markedly elevated (> 500-1000mg/dl), which increases the risk of pancreatitis. LDL-C is the first priority because the database linking lowering LDL-C with reducing cardiovascular disease is extremely strong and we now have the ability to markedly decrease LDL-C levels in the vast majority of patients. Dietary therapy is the initial step but, in many patients, it will not be sufficient to achieve the LDL-C goals. If patients are willing and able to make major changes in their diet it is possible to achieve remarkable reductions in LDL-C levels but this seldom occurs in clinical practice (for details see the Endotext chapter “The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels”) (225).

 

Statins are the first-choice drugs to lower LDL-C levels and many patients with inflammatory disorders will require statin therapy. Statins are available as generic drugs and are relatively inexpensive. The choice of statin will depend on the magnitude of LDL-C lowering required and whether other drugs that the patient is taking might alter statin metabolism thereby increasing the risk of statin toxicity. For example, cyclosporine affects the metabolism of many of the statins and in patients taking cyclosporine fluvastatin appears to be the safest statin (226).

 

If a patient is unable to tolerate statins or statins as monotherapy are not sufficient to lower LDL-C to goal the second-choice drug is either ezetimibe, bempedoic acid, or a PCSK9 inhibitor. Ezetimibe is a generic drug and relatively inexpensive and can be added to any statin. PCSK9 inhibitors can also be added to any statin and are the drugs of choice if a large decrease in LDL-C is required to reach goal (PCSK9 inhibitors will lower LDL-C levels by 50-60% when added to a statin, whereas ezetimibe and bempedoic acid will only lower LDL-C by approximately 20%).  Ezetimibe, bempedoic acid, and PCSK9 inhibitors additively lower LDL-C levels when used in combination with a statin, because these drugs increase hepatic LDL receptor levels by different mechanisms, thereby resulting in a reduction in serum LDL-C levels. Niacin and the fibrates also lower LDL-C levels but are not usually employed to lower LDL-C levels

 

The second priority should be non-HDL-C (non-HDL-C = total cholesterol – HDL-C), which is particularly important in patients with elevated TG levels (>150mg/dl). Non-HDL-C is a measure of all the pro-atherogenic apolipoprotein B containing particles. Numerous studies have shown that non-HDL-C is a strong risk factor for the development of cardiovascular disease. The non-HDL-C goals are 30mg/dl greater than the LDL-C goals. For example, if the LDL goal is <100mg/dl then the non-HDL-C goal would be <130mg/dl. Drugs that reduce either LDL-C or TG levels will reduce non-HDL-C levels. If LDL-C is only slightly below goal increasing drug dose or adding drugs to further lower LDL-C is a reasonable approach. If the LDL-C is significantly below goal lowering TG levels is reasonable.

 

The third priority in treating lipid disorders is to decrease TG levels. Initial therapy should focus on lifestyle changes including a decrease in simple sugars and ethanol intake and initiating an exercise program. Fibrates, niacin, and omega-3-fatty acids all reduce serum TG levels. Typically, one will target TG levels when one is trying to lower non-HDL-C levels to goal. Note that there is limited evidence demonstrating that lowering TG levels reduces cardiovascular events with fibrates, niacin, and most omega-3-fatty acid preparations. A study has shown that adding the omega-3-fatty acid icosapent ethyl (EPA) to statins in patients with elevated TG levels reduces cardiovascular events (227) but there is controversy regarding these results (see Endotext chapter on Triglyceride Lowering Drugs for detailed information (188)). In addition, the potential beneficial effects of fish oil on disease activity in many patients with inflammatory diseases make the use of omega-3-fatty acids an attractive choice in patients with inflammatory diseases and elevated TG levels/non-HDL-C levels. Patients with very high TG levels (> 500-1000 mg/dl) are at risk of pancreatitis and therefore lifestyle and TG lowering drug therapy should be initiated early to reduce the risk of pancreatitis (228).

 

The fourth priority in treating lipid disorders is to increase HDL-C levels. There is strong epidemiologic data linking low HDL-C levels with cardiovascular disease, but whether increasing HDL levels with drugs reduces cardiovascular disease is unknown and studies have not been encouraging (229). Lifestyle changes are the initial step and include increased exercise, weight loss, and stopping cigarette smoking. Whether increasing HDL-C levels will result in a reduction in cardiovascular events is unknown and it is likely that HDL function is more important than HDL levels.

 

Unfortunately, at this time we do not yet have drugs that specifically lower Lp(a) levels and therefore in patients with elevated Lp(a) levels we lower other risk factors for cardiovascular disease aggressively to reduce risk.

 

In summary, modern therapy of patients with inflammatory diseases demands that we aggressively treat LDL-C to reduce the high risk of cardiovascular disease in this susceptible population.

 

ACKNOWLEDGEMENTS

 

This work was supported by grants from the Northern California Institute for Research and Education.

 

REFERENCES

 

  1. Coumbe AG, Pritzker MR, Duprez DA. Cardiovascular risk and psoriasis: beyond the traditional risk factors. Am J Med 2014; 127:12-18
  2. Haque S, Mirjafari H, Bruce IN. Atherosclerosis in rheumatoid arthritis and systemic lupus erythematosus. Curr Opin Lipidol 2008; 19:338-343
  3. John H, Toms TE, Kitas GD. Rheumatoid arthritis: is it a coronary heart disease equivalent? Curr Opin Cardiol 2011; 26:327-333
  4. Ogdie A, Yu Y, Haynes K, Love TJ, Maliha S, Jiang Y, Troxel AB, Hennessy S, Kimmel SE, Margolis DJ, Choi H, Mehta NN, Gelfand JM. Risk of major cardiovascular events in patients with psoriatic arthritis, psoriasis and rheumatoid arthritis: a population-based cohort study. Ann Rheum Dis 2015; 74:326-332
  5. Eriksson JK, Jacobsson L, Bengtsson K, Askling J. Is ankylosing spondylitis a risk factor for cardiovascular disease, and how do these risks compare with those in rheumatoid arthritis? Ann Rheum Dis 2017; 76:364-370
  6. Yong WC, Sanguankeo A, Upala S. Association between primary Sjogren's syndrome, cardiovascular and cerebrovascular disease: a systematic review and meta-analysis. Clin Exp Rheumatol 2018; 36 Suppl 112:190-197
  7. Ungprasert P, Koster MJ, Warrington KJ, Matteson EL. Polymyalgia rheumatica and risk of coronary artery disease: a systematic review and meta-analysis of observational studies. Rheumatol Int 2017; 37:143-149
  8. Feng W, Chen G, Cai D, Zhao S, Cheng J, Shen H. Inflammatory Bowel Disease and Risk of Ischemic Heart Disease: An Updated Meta-Analysis of Cohort Studies. J Am Heart Assoc 2017; 6
  9. Agca R, Heslinga SC, Rollefstad S, Heslinga M, McInnes IB, Peters MJ, Kvien TK, Dougados M, Radner H, Atzeni F, Primdahl J, Sodergren A, Wallberg Jonsson S, van Rompay J, Zabalan C, Pedersen TR, Jacobsson L, de Vlam K, Gonzalez-Gay MA, Semb AG, Kitas GD, Smulders YM, Szekanecz Z, Sattar N, Symmons DP, Nurmohamed MT. EULAR recommendations for cardiovascular disease risk management in patients with rheumatoid arthritis and other forms of inflammatory joint disorders: 2015/2016 update. Ann Rheum Dis 2017; 76:17-28
  10. Conrad N, Verbeke G, Molenberghs G, Goetschalckx L, Callender T, Cambridge G, Mason JC, Rahimi K, McMurray JJV, Verbakel JY. Autoimmune diseases and cardiovascular risk: a population-based study on 19 autoimmune diseases and 12 cardiovascular diseases in 22 million individuals in the UK. Lancet 2022; 400:733-743
  11. Ferguson LD, Molenberghs G, Verbeke G, Rahimi K, Rao S, McInnes IB, McMurray JJV, Sattar N, Conrad N. Gout and incidence of 12 cardiovascular diseases: a case-control study including 152 663 individuals with gout and 709 981 matched controls. Lancet Rheumatol 2024; 6:e156-e167
  12. Avina-Zubieta JA, Choi HK, Sadatsafavi M, Etminan M, Esdaile JM, Lacaille D. Risk of cardiovascular mortality in patients with rheumatoid arthritis: a meta-analysis of observational studies. Arthritis Rheum 2008; 59:1690-1697
  13. Solomon DH, Reed GW, Kremer JM, Curtis JR, Farkouh ME, Harrold LR, Hochberg MC, Tsao P, Greenberg JD. Disease activity in rheumatoid arthritis and the risk of cardiovascular events. Arthritis Rheumatol 2015; 67:1449-1455
  14. Lindhardsen J, Ahlehoff O, Gislason GH, Madsen OR, Olesen JB, Torp-Pedersen C, Hansen PR. The risk of myocardial infarction in rheumatoid arthritis and diabetes mellitus: a Danish nationwide cohort study. Ann Rheum Dis 2011; 70:929-934
  15. Agca R, Hopman L, Laan KJC, van Halm VP, Peters MJL, Smulders YM, Dekker JM, Nijpels G, Stehouwer CDA, Voskuyl AE, Boers M, Lems WF, Nurmohamed MT. Cardiovascular Event Risk in Rheumatoid Arthritis Compared with Type 2 Diabetes: A 15-year Longitudinal Study. J Rheumatol 2020; 47:316-324
  16. Manzi S, Meilahn EN, Rairie JE, Conte CG, Medsger TA, Jr., Jansen-McWilliams L, D'Agostino RB, Kuller LH. Age-specific incidence rates of myocardial infarction and angina in women with systemic lupus erythematosus: comparison with the Framingham Study. Am J Epidemiol 1997; 145:408-415
  17. Samarasekera EJ, Neilson JM, Warren RB, Parnham J, Smith CH. Incidence of cardiovascular disease in individuals with psoriasis: a systematic review and meta-analysis. J Invest Dermatol 2013; 133:2340-2346
  18. Asanuma Y, Oeser A, Shintani AK, Turner E, Olsen N, Fazio S, Linton MF, Raggi P, Stein CM. Premature coronary-artery atherosclerosis in systemic lupus erythematosus. N Engl J Med 2003; 349:2407-2415
  19. Chung CP, Oeser A, Raggi P, Gebretsadik T, Shintani AK, Sokka T, Pincus T, Avalos I, Stein CM. Increased coronary-artery atherosclerosis in rheumatoid arthritis: relationship to disease duration and cardiovascular risk factors. Arthritis Rheum 2005; 52:3045-3053
  20. Giles JT, Szklo M, Post W, Petri M, Blumenthal RS, Lam G, Gelber AC, Detrano R, Scott WW, Jr., Kronmal RA, Bathon JM. Coronary arterial calcification in rheumatoid arthritis: comparison with the Multi-Ethnic Study of Atherosclerosis. Arthritis Res Ther 2009; 11:R36
  21. Ludwig RJ, Herzog C, Rostock A, Ochsendorf FR, Zollner TM, Thaci D, Kaufmann R, Vogl TJ, Boehncke WH. Psoriasis: a possible risk factor for development of coronary artery calcification. Br J Dermatol 2007; 156:271-276
  22. Roman MJ, Shanker BA, Davis A, Lockshin MD, Sammaritano L, Simantov R, Crow MK, Schwartz JE, Paget SA, Devereux RB, Salmon JE. Prevalence and correlates of accelerated atherosclerosis in systemic lupus erythematosus. N Engl J Med 2003; 349:2399-2406
  23. Wang S, Yiu KH, Mok MY, Ooi GC, Khong PL, Mak KF, Lau CP, Lam KF, Lau CS, Tse HF. Prevalence and extent of calcification over aorta, coronary and carotid arteries in patients with rheumatoid arthritis. J Intern Med 2009; 266:445-452
  24. Yiu KH, Yeung CK, Zhao CT, Chan JC, Siu CW, Tam S, Wong CS, Yan GH, Yue WS, Khong PL, Chan HH, Tse HF. Prevalence and extent of subclinical atherosclerosis in patients with psoriasis. J Intern Med 2013; 273:273-282
  25. Schanberg LE, Sandborg C, Barnhart HX, Ardoin SP, Yow E, Evans GW, Mieszkalski KL, Ilowite NT, Eberhard A, Levy DM, Kimura Y, von Scheven E, Silverman E, Bowyer SL, Punaro L, Singer NG, Sherry DD, McCurdy D, Klein-Gitelman M, Wallace C, Silver R, Wagner-Weiner L, Higgins GC, Brunner HI, Jung L, Soep JB, Reed A, Atherosclerosis Prevention in Pediatric Lupus Erythematosus I. Premature atherosclerosis in pediatric systemic lupus erythematosus: risk factors for increased carotid intima-media thickness in the atherosclerosis prevention in pediatric lupus erythematosus cohort. Arthritis Rheum 2009; 60:1496-1507
  26. Becker AE, de Boer OJ, van Der Wal AC. The role of inflammation and infection in coronary artery disease. Annu Rev Med 2001; 52:289-297
  27. Epstein SE, Zhou YF, Zhu J. Infection and atherosclerosis: emerging mechanistic paradigms. Circulation 1999; 100:e20-28
  28. Leinonen M, Saikku P. Evidence for infectious agents in cardiovascular disease and atherosclerosis. Lancet Infect Dis 2002; 2:11-17
  29. Triant VA, Grinspoon SK. Epidemiology of ischemic heart disease in HIV. Curr Opin HIV AIDS 2017; 12:540-547
  30. Sarkar S, Brown TT. Lipid Disorders in People with HIV. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dhatariya K, Dungan K, Hershman JM, Hofland J, Kalra S, Kaltsas G, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Morley JE, New M, Purnell J, Sahay R, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2021.
  31. Lockhart PB, Bolger AF, Papapanou PN, Osinbowale O, Trevisan M, Levison ME, Taubert KA, Newburger JW, Gornik HL, Gewitz MH, Wilson WR, Smith SC, Jr., Baddour LM, American Heart Association Rheumatic Fever, Endocarditis, Kawasaki Disease Committee of the Council on Cardiovascular Disease in the Young, Council on Epidemiology Prevention, Council on Peripheral Vascular Disease Council on Clinical, Cardiology. Periodontal disease and atherosclerotic vascular disease: does the evidence support an independent association?: a scientific statement from the American Heart Association. Circulation 2012; 125:2520-2544
  32. Beck JD, Elter JR, Heiss G, Couper D, Mauriello SM, Offenbacher S. Relationship of periodontal disease to carotid artery intima-media wall thickness: the atherosclerosis risk in communities (ARIC) study. Arterioscler Thromb Vasc Biol 2001; 21:1816-1822
  33. Desvarieux M, Demmer RT, Rundek T, Boden-Albala B, Jacobs DR, Jr., Papapanou PN, Sacco R,. Relationship between periodontal disease, tooth loss, and carotid artery plaque: the Oral Infections and Vascular Disease Epidemiology Study (INVEST). Stroke 2003; 34:2120-2125
  34. Desvarieux M, Demmer RT, Rundek T, Boden-Albala B, Jacobs DR, Jr., Sacco RL, Papapanou PN. Periodontal microbiota and carotid intima-media thickness: the Oral Infections and Vascular Disease Epidemiology Study (INVEST). Circulation 2005; 111:576-582
  35. Soder PO, Soder B, Nowak J, Jogestrand T. Early carotid atherosclerosis in subjects with periodontal diseases. Stroke 2005; 36:1195-1200
  36. Khovidhunkit W, Kim MS, Memon RA, Shigenaga JK, Moser AH, Feingold KR, Grunfeld C. Effects of infection and inflammation on lipid and lipoprotein metabolism: mechanisms and consequences to the host. J Lipid Res 2004; 45:1169-1196
  37. Ridker PM, Everett BM, Thuren T, MacFadyen JG, Chang WH, Ballantyne C, Fonseca F, Nicolau J, Koenig W, Anker SD, Kastelein JJP, Cornel JH, Pais P, Pella D, Genest J, Cifkova R, Lorenzatti A, Forster T, Kobalava Z, Vida-Simiti L, Flather M, Shimokawa H, Ogawa H, Dellborg M, Rossi PRF, Troquay RPT, Libby P, Glynn RJ, Cantos Trial Group. Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease. N Engl J Med 2017; 377:1119-1131
  38. Nidorf SM, Fiolet ATL, Mosterd A, Eikelboom JW, Schut A, Opstal TSJ, The SHK, Xu XF, Ireland MA, Lenderink T, Latchem D, Hoogslag P, Jerzewski A, Nierop P, Whelan A, Hendriks R, Swart H, Schaap J, Kuijper AFM, van Hessen MWJ, Saklani P, Tan I, Thompson AG, Morton A, Judkins C, Bax WA, Dirksen M, Alings M, Hankey GJ, Budgeon CA, Tijssen JGP, Cornel JH, Thompson PL, LoDoCo2 Trial Investigators. Colchicine in Patients with Chronic Coronary Disease. N Engl J Med 2020; 383:1838-1847
  39. Tardif JC, Kouz S, Waters DD, Bertrand OF, Diaz R, Maggioni AP, Pinto FJ, Ibrahim R, Gamra H, Kiwan GS, Berry C, Lopez-Sendon J, Ostadal P, Koenig W, Angoulvant D, Gregoire JC, Lavoie MA, Dube MP, Rhainds D, Provencher M, Blondeau L, Orfanos A, L'Allier PL, Guertin MC, Roubille F. Efficacy and Safety of Low-Dose Colchicine after Myocardial Infarction. N Engl J Med 2019; 381:2497-2505
  40. Tong DC, Bloom JE, Quinn S, Nasis A, Hiew C, Roberts-Thomson P, Adams H, Sriamareswaran R, Htun NM, Wilson W, Stub D, van Gaal W, Howes L, Yeap A, Yip B, Wu S, Perera P, Collins N, Yong A, Bhindi R, Whitbourn R, Lee A, Premaratne M, Asrress K, Freeman M, Amerena J, Layland J. Colchicine in Patients With Acute Coronary Syndrome: Two-Year Follow-Up of the Australian COPS Randomized Clinical Trial. Circulation 2021; 144:1584-1586
  41. Jolly SS, d'Entremont MA, Lee SF, Mian R, Tyrwhitt J, Kedev S, Montalescot G, Cornel JH, Stankovic G, Moreno R, Storey RF, Henry TD, Mehta SR, Bossard M, Kala P, Layland J, Zafirovska B, Devereaux PJ, Eikelboom J, Cairns JA, Shah B, Sheth T, Sharma SK, Tarhuni W, Conen D, Tawadros S, Lavi S, Yusuf S, Clear Investigators. Colchicine in Acute Myocardial Infarction. N Engl J Med 2025; 392:633-642
  42. Ridker PM, Everett BM, Pradhan A, MacFadyen JG, Solomon DH, Zaharris E, Mam V, Hasan A, Rosenberg Y, Iturriaga E, Gupta M, Tsigoulis M, Verma S, Clearfield M, Libby P, Goldhaber SZ, Seagle R, Ofori C, Saklayen M, Butman S, Singh N, Le May M, Bertrand O, Johnston J, Paynter NP, Glynn RJ, Cirt Investigators. Low-Dose Methotrexate for the Prevention of Atherosclerotic Events. N Engl J Med 2018;
  43. Choi HK, Seeger JD. Lipid profiles among US elderly with untreated rheumatoid arthritis--the Third National Health and Nutrition Examination Survey. J Rheumatol 2005; 32:2311-2316
  44. Georgiadis AN, Papavasiliou EC, Lourida ES, Alamanos Y, Kostara C, Tselepis AD, Drosos AA. Atherogenic lipid profile is a feature characteristic of patients with early rheumatoid arthritis: effect of early treatment--a prospective, controlled study. Arthritis Res Ther 2006; 8:R82
  45. Lazarevic MB, Vitic J, Mladenovic V, Myones BL, Skosey JL, Swedler WI. Dyslipoproteinemia in the course of active rheumatoid arthritis. Semin Arthritis Rheum 1992; 22:172-178
  46. Steiner G, Urowitz MB. Lipid profiles in patients with rheumatoid arthritis: mechanisms and the impact of treatment. Semin Arthritis Rheum 2009; 38:372-381
  47. Chung CP, Oeser A, Raggi P, Sokka T, Pincus T, Solus JF, Linton MF, Fazio S, Stein CM. Lipoprotein subclasses determined by nuclear magnetic resonance spectroscopy and coronary atherosclerosis in patients with rheumatoid arthritis. J Rheumatol 2010; 37:1633-1638
  48. Knowlton N, Wages JA, Centola MB, Alaupovic P. Apolipoprotein-defined lipoprotein abnormalities in rheumatoid arthritis patients and their potential impact on cardiovascular disease. Scand J Rheumatol 2012; 41:165-169
  49. Hurt-Camejo E, Paredes S, Masana L, Camejo G, Sartipy P, Rosengren B, Pedreno J, Vallve JC, Benito P, Wiklund O. Elevated levels of small, low-density lipoprotein with high affinity for arterial matrix components in patients with rheumatoid arthritis: possible contribution of phospholipase A2 to this atherogenic profile. Arthritis Rheum 2001; 44:2761-2767
  50. Rizzo M, Spinas GA, Cesur M, Ozbalkan Z, Rini GB, Berneis K. Atherogenic lipoprotein phenotype and LDL size and subclasses in drug-naive patients with early rheumatoid arthritis. Atherosclerosis 2009; 207:502-506
  51. Schulte DM, Paulsen K, Turk K, Brandt B, Freitag-Wolf S, Hagen I, Zeuner R, Schroder JO, Lieb W, Franke A, Nikolaus S, Mrowietz U, Gerdes S, Schreiber S, Laudes M. Small dense LDL cholesterol in human subjects with different chronic inflammatory diseases. Nutr Metab Cardiovasc Dis 2018; 28:1100-1105
  52. Asanuma Y, Kawai S, Aoshima H, Kaburaki J, Mizushima Y. Serum lipoprotein(a) and apolipoprotein(a) phenotypes in patients with rheumatoid arthritis. Arthritis Rheum 1999; 42:443-447
  53. Dursunoglu D, Evrengul H, Polat B, Tanriverdi H, Cobankara V, Kaftan A, Kilic M. Lp(a) lipoprotein and lipids in patients with rheumatoid arthritis: serum levels and relationship to inflammation. Rheumatol Int 2005; 25:241-245
  54. Lee YH, Choi SJ, Ji JD, Seo HS, Song GG. Lipoprotein(a) and lipids in relation to inflammation in rheumatoid arthritis. Clin Rheumatol 2000; 19:324-325
  55. Borba EF, Bonfa E. Dyslipoproteinemias in systemic lupus erythematosus: influence of disease, activity, and anticardiolipin antibodies. Lupus 1997; 6:533-539
  56. Bruce IN, Urowitz MB, Gladman DD, Ibanez D, Steiner G. Risk factors for coronary heart disease in women with systemic lupus erythematosus: the Toronto Risk Factor Study. Arthritis Rheum 2003; 48:3159-3167
  57. de Carvalho JF, Bonfa E, Borba EF. Systemic lupus erythematosus and "lupus dyslipoproteinemia". Autoimmun Rev 2008; 7:246-250
  58. Urowitz MB, Gladman D, Ibanez D, Fortin P, Sanchez-Guerrero J, Bae S, Clarke A, Bernatsky S, Gordon C, Hanly J, Wallace D, Isenberg D, Ginzler E, Merrill J, Alarcon G, Steinsson K, Petri M, Dooley MA, Bruce I, Manzi S, Khamashta M, Ramsey-Goldman R, Zoma A, Sturfelt G, Nived O, Maddison P, Font J, van Vollenhoven R, Aranow C, Kalunian K, Stoll T, Buyon J. Clinical manifestations and coronary artery disease risk factors at diagnosis of systemic lupus erythematosus: data from an international inception cohort. Lupus 2007; 16:731-735
  59. Borba EF, Santos RD, Bonfa E, Vinagre CG, Pileggi FJ, Cossermelli W, Maranhao RC. Lipoprotein(a) levels in systemic lupus erythematosus. J Rheumatol 1994; 21:220-223
  60. Feingold KR, Grunfeld C. Psoriasis: it's more than just the skin. J Lipid Res 2012; 53:1427-1429
  61. Friedewald VE, Cather JC, Gelfand JM, Gordon KB, Gibbons GH, Grundy SM, Jarratt MT, Krueger JG, Ridker PM, Stone N, Roberts WC. AJC editor's consensus: psoriasis and coronary artery disease. Am J Cardiol 2008; 102:1631-1643
  62. Gottlieb AB, Dann F. Comorbidities in patients with psoriasis. Am J Med 2009; 122:1150 e1151-1159
  63. Langan SM, Seminara NM, Shin DB, Troxel AB, Kimmel SE, Mehta NN, Margolis DJ, Gelfand JM. Prevalence of metabolic syndrome in patients with psoriasis: a population-based study in the United Kingdom. J Invest Dermatol 2012; 132:556-562
  64. Tobin AM, Veale DJ, Fitzgerald O, Rogers S, Collins P, O'Shea D, Kirby B. Cardiovascular disease and risk factors in patients with psoriasis and psoriatic arthritis. J Rheumatol 2010; 37:1386-1394
  65. Fernandez-Armenteros JM, Gomez-Arbones X, Buti-Soler M, Betriu-Bars A, Sanmartin-Novell V, Ortega-Bravo M, Martinez-Alonso M, Gari E, Portero-Otin M, Santamaria-Babi L, Casanova-Seuma JM. Psoriasis, metabolic syndrome and cardiovascular risk factors. A population-based study. J Eur Acad Dermatol Venereol 2018;
  66. Sorokin AV, Kotani K, Elnabawi YA, Dey AK, Sajja AP, Yamada S, Ueda M, Harrington CL, Baumer Y, Rodante JA, Gelfand JM, Chen MY, Joshi AA, Playford MP, Remaley AT, Mehta NN. Association Between Oxidation-Modified Lipoproteins and Coronary Plaque in Psoriasis. Circ Res 2018; 123:1244-1254
  67. Ripolles Piquer B, Nazih H, Bourreille A, Segain JP, Huvelin JM, Galmiche JP, Bard JM. Altered lipid, apolipoprotein, and lipoprotein profiles in inflammatory bowel disease: consequences on the cholesterol efflux capacity of serum using Fu5AH cell system. Metabolism 2006; 55:980-988
  68. Sappati Biyyani RS, Putka BS, Mullen KD. Dyslipidemia and lipoprotein profiles in patients with inflammatory bowel disease. J Clin Lipidol 2010; 4:478-482
  69. Koutroumpakis E, Ramos-Rivers C, Regueiro M, Hashash JG, Barrie A, Swoger J, Baidoo L, Schwartz M, Dunn MA, Koutroubakis IE, Binion DG. Association Between Long-Term Lipid Profiles and Disease Severity in a Large Cohort of Patients with Inflammatory Bowel Disease. Dig Dis Sci 2016; 61:865-871
  70. Papagoras C, Markatseli TE, Saougou I, Alamanos Y, Zikou AK, Voulgari PV, Kiortsis DN, Drosos AA. Cardiovascular risk profile in patients with spondyloarthritis. Joint Bone Spine 2014; 81:57-63
  71. Bullon P, Morillo JM, Ramirez-Tortosa MC, Quiles JL, Newman HN, Battino M. Metabolic syndrome and periodontitis: is oxidative stress a common link? J Dent Res 2009; 88:503-518
  72. Penumarthy S, Penmetsa GS, Mannem S. Assessment of serum levels of triglycerides, total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol in periodontitis patients. J Indian Soc Periodontol 2013; 17:30-35
  73. Pussinen PJ, Mattila K. Periodontal infections and atherosclerosis: mere associations? Curr Opin Lipidol 2004; 15:583-588
  74. Schenkein HA, Loos BG. Inflammatory mechanisms linking periodontal diseases to cardiovascular diseases. J Periodontol 2013; 84:S51-69
  75. Nepomuceno R, Pigossi SC, Finoti LS, Orrico SRP, Cirelli JA, Barros SP, Offenbacher S, Scarel-Caminaga RM. Serum lipid levels in patients with periodontal disease: A meta-analysis and meta-regression. J Clin Periodontol 2017; 44:1192-1207
  76. Rufail ML, Schenkein HA, Koertge TE, Best AM, Barbour SE, Tew JG, van Antwerpen R. Atherogenic lipoprotein parameters in patients with aggressive periodontitis. J Periodontal Res 2007; 42:495-502
  77. Pussinen PJ, Vilkuna-Rautiainen T, Alfthan G, Palosuo T, Jauhiainen M, Sundvall J, Vesanen M, Mattila K, Asikainen S. Severe periodontitis enhances macrophage activation via increased serum lipopolysaccharide. Arterioscler Thromb Vasc Biol 2004; 24:2174-2180
  78. Teeuw WJ, Slot DE, Susanto H, Gerdes VE, Abbas F, D'Aiuto F, Kastelein JJ, Loos BG. Treatment of periodontitis improves the atherosclerotic profile: a systematic review and meta-analysis. J Clin Periodontol 2014; 41:70-79
  79. Buhlin K, Hultin M, Norderyd O, Persson L, Pockley AG, Pussinen PJ, Rabe P, Klinge B, Gustafsson A. Periodontal treatment influences risk markers for atherosclerosis in patients with severe periodontitis. Atherosclerosis 2009; 206:518-522
  80. Alvarez C, Ramos A. Lipids, lipoproteins, and apoproteins in serum during infection. Clin Chem 1986; 32:142-145
  81. Cappi SB, Noritomi DT, Velasco IT, Curi R, Loureiro TC, Soriano FG. Dyslipidemia: a prospective controlled randomized trial of intensive glycemic control in sepsis. Intensive Care Med 2012; 38:634-641
  82. Gallin JI, Kaye D, O'Leary WM. Serum lipids in infection. N Engl J Med 1969; 281:1081-1086
  83. Gordon BR, Parker TS, Levine DM, Saal SD, Wang JC, Sloan BJ, Barie PS, Rubin AL. Low lipid concentrations in critical illness: implications for preventing and treating endotoxemia. Crit Care Med 1996; 24:584-589
  84. Kerttula Y, Weber TH. Serum lipids in viral and bacterial meningitis. Scand J Infect Dis 1986; 18:211-215
  85. Sammalkorpi K, Valtonen V, Kerttula Y, Nikkila E, Taskinen MR. Changes in serum lipoprotein pattern induced by acute infections. Metabolism 1988; 37:859-865
  86. van Leeuwen HJ, Heezius EC, Dallinga GM, van Strijp JA, Verhoef J, van Kessel KP. Lipoprotein metabolism in patients with severe sepsis. Crit Care Med 2003; 31:1359-1366
  87. Feingold KR. The bidirectional link between HDL and COVID-19 infections. J Lipid Res 2021; 62:100067
  88. Apostolou F, Gazi IF, Kostoula A, Tellis CC, Tselepis AD, Elisaf M, Liberopoulos EN. Persistence of an atherogenic lipid profile after treatment of acute infection with Brucella. J Lipid Res 2009; 50:2532-2539
  89. Apostolou F, Gazi IF, Lagos K, Tellis CC, Tselepis AD, Liberopoulos EN, Elisaf M. Acute infection with Epstein-Barr virus is associated with atherogenic lipid changes. Atherosclerosis 2010; 212:607-613
  90. Gazi IF, Apostolou FA, Liberopoulos EN, Filippatos TD, Tellis CC, Elisaf MS, Tselepis AD. Leptospirosis is associated with markedly increased triglycerides and small dense low-density lipoprotein and decreased high-density lipoprotein. Lipids 2011; 46:953-960
  91. Deniz O, Gumus S, Yaman H, Ciftci F, Ors F, Cakir E, Tozkoparan E, Bilgic H, Ekiz K. Serum total cholesterol, HDL-C and LDL-C concentrations significantly correlate with the radiological extent of disease and the degree of smear positivity in patients with pulmonary tuberculosis. Clin Biochem 2007; 40:162-166
  92. Deniz O, Tozkoparan E, Yaman H, Cakir E, Gumus S, Ozcan O, Bozlar U, Bilgi C, Bilgic H, Ekiz K. Serum HDL-C levels, log (TG/HDL-C) values and serum total cholesterol/HDL-C ratios significantly correlate with radiological extent of disease in patients with community-acquired pneumonia. Clin Biochem 2006; 39:287-292
  93. Palacio C, Alexandraki I, Bertholf RL, Mooradian AD. Transient dyslipidemia mimicking the plasma lipid profile of Tangier disease in a diabetic patient with gram negative sepsis. Ann Clin Lab Sci 2011; 41:150-153
  94. Feingold KR. Lipid and Lipoprotein Levels in Patients with COVID-19 Infections. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  95. Feingold KR. The bidirectional interaction of COVID-19 infections and lipoproteins. Best Pract Res Clin Endocrinol Metab 2023; 37:101751
  96. Barlage S, Gnewuch C, Liebisch G, Wolf Z, Audebert FX, Gluck T, Frohlich D, Kramer BK, Rothe G, Schmitz G. Changes in HDL-associated apolipoproteins relate to mortality in human sepsis and correlate to monocyte and platelet activation. Intensive Care Med 2009; 35:1877-1885
  97. Chien JY, Jerng JS, Yu CJ, Yang PC. Low serum level of high-density lipoprotein cholesterol is a poor prognostic factor for severe sepsis. Crit Care Med 2005; 33:1688-1693
  98. Gruber M, Christ-Crain M, Stolz D, Keller U, Muller C, Bingisser R, Tamm M, Mueller B, Schuetz P. Prognostic impact of plasma lipids in patients with lower respiratory tract infections - an observational study. Swiss Med Wkly 2009; 139:166-172
  99. Lekkou A, Mouzaki A, Siagris D, Ravani I, Gogos CA. Serum lipid profile, cytokine production, and clinical outcome in patients with severe sepsis. J Crit Care 2014; 29:723-727
  100. Cirstea M, Walley KR, Russell JA, Brunham LR, Genga KR, Boyd JH. Decreased high-density lipoprotein cholesterol level is an early prognostic marker for organ dysfunction and death in patients with suspected sepsis. J Crit Care 2017; 38:289-294
  101. Grion CM, Cardoso LT, Perazolo TF, Garcia AS, Barbosa DS, Morimoto HK, Matsuo T, Carrilho AJ. Lipoproteins and CETP levels as risk factors for severe sepsis in hospitalized patients. Eur J Clin Invest 2010; 40:330-338
  102. Iribarren C, Jacobs DR, Jr., Sidney S, Claxton AJ, Feingold KR. Cohort study of serum total cholesterol and in-hospital incidence of infectious diseases. Epidemiol Infect 1998; 121:335-347
  103. Guirgis FW, Donnelly JP, Dodani S, Howard G, Safford MM, Levitan EB, Wang HE. Cholesterol levels and long-term rates of community-acquired sepsis. Crit Care 2016; 20:408
  104. Kaysen GA, Ye X, Raimann JG, Wang Y, Topping A, Usvyat LA, Stuard S, Canaud B, van der Sande FM, Kooman JP, Kotanko P, Monitoring Dialysis Outcomes I. Lipid levels are inversely associated with infectious and all-cause mortality: international MONDO study results. J Lipid Res 2018; 59:1519-1528
  105. Madsen CM, Varbo A, Tybjaerg-Hansen A, Frikke-Schmidt R, Nordestgaard BG. U-shaped relationship of HDL and risk of infectious disease: two prospective population-based cohort studies. Eur Heart J 2018; 39:1181-1190
  106. Trinder M, Walley KR, Boyd JH, Brunham LR. Causal Inference for Genetically Determined Levels of High-Density Lipoprotein Cholesterol and Risk of Infectious Disease. Arterioscler Thromb Vasc Biol 2020; 40:267-278
  107. Patel PN, Shah RY, Ferguson JF, Reilly MP. Human experimental endotoxemia in modeling the pathophysiology, genomics, and therapeutics of innate immunity in complex cardiometabolic diseases. Arterioscler Thromb Vasc Biol 2015; 35:525-534
  108. Missala I, Kassner U, Steinhagen-Thiessen E. A Systematic Literature Review of the Association of Lipoprotein(a) and Autoimmune Diseases and Atherosclerosis. Int J Rheumatol 2012; 2012:480784
  109. Choy E, Sattar N. Interpreting lipid levels in the context of high-grade inflammatory states with a focus on rheumatoid arthritis: a challenge to conventional cardiovascular risk actions. Ann Rheum Dis 2009; 68:460-469
  110. Robertson J, Peters MJ, McInnes IB, Sattar N. Changes in lipid levels with inflammation and therapy in RA: a maturing paradigm. Nat Rev Rheumatol 2013; 9:513-523
  111. Heslinga SC, Peters MJ, Ter Wee MM, van der Horst-Bruinsma IE, van Sijl AM, Smulders YM, Nurmohamed MT. Reduction of Inflammation Drives Lipid Changes in Ankylosing Spondylitis. J Rheumatol 2015; 42:1842-1845
  112. Park YB, Choi HK, Kim MY, Lee WK, Song J, Kim DK, Lee SK. Effects of antirheumatic therapy on serum lipid levels in patients with rheumatoid arthritis: a prospective study. Am J Med 2002; 113:188-193
  113. Arnaldi G, Scandali VM, Trementino L, Cardinaletti M, Appolloni G, Boscaro M. Pathophysiology of dyslipidemia in Cushing's syndrome. Neuroendocrinology 2010; 92 Suppl 1:86-90
  114. Ettinger WH, Jr., Hazzard WR. Prednisone increases very low density lipoprotein and high density lipoprotein in healthy men. Metabolism 1988; 37:1055-1058
  115. Mihailescu DV, Vora A, Mazzone T. Lipid effects of endocrine medications. Curr Atheroscler Rep 2011; 13:88-94
  116. Cairoli E, Rebella M, Danese N, Garra V, Borba EF. Hydroxychloroquine reduces low-density lipoprotein cholesterol levels in systemic lupus erythematosus: a longitudinal evaluation of the lipid-lowering effect. Lupus 2012; 21:1178-1182
  117. Munro R, Morrison E, McDonald AG, Hunter JA, Madhok R, Capell HA. Effect of disease modifying agents on the lipid profiles of patients with rheumatoid arthritis. Ann Rheum Dis 1997; 56:374-377
  118. Tam LS, Gladman DD, Hallett DC, Rahman P, Urowitz MB. Effect of antimalarial agents on the fasting lipid profile in systemic lupus erythematosus. J Rheumatol 2000; 27:2142-2145
  119. Ng PC, Ang IL, Chiu RW, Li K, Lam HS, Wong RP, Chui KM, Cheung HM, Ng EW, Fok TF, Sung JJ, Lo YM, Poon TC. Host-response biomarkers for diagnosis of late-onset septicemia and necrotizing enterocolitis in preterm infants. J Clin Invest 2010; 120:2989-3000
  120. Lu B, Moser A, Shigenaga JK, Grunfeld C, Feingold KR. The acute phase response stimulates the expression of angiopoietin like protein 4. Biochem Biophys Res Commun 2010; 391:1737-1741
  121. de Carvalho JF, Borba EF, Viana VS, Bueno C, Leon EP, Bonfa E. Anti-lipoprotein lipase antibodies: a new player in the complex atherosclerotic process in systemic lupus erythematosus? Arthritis Rheum 2004; 50:3610-3615
  122. Reichlin M, Fesmire J, Quintero-Del-Rio AI, Wolfson-Reichlin M. Autoantibodies to lipoprotein lipase and dyslipidemia in systemic lupus erythematosus. Arthritis Rheum 2002; 46:2957-2963
  123. Hosoai H, Webb NR, Glick JM, Tietge UJ, Purdom MS, de Beer FC, Rader DJ. Expression of serum amyloid A protein in the absence of the acute phase response does not reduce HDL cholesterol or apoA-I levels in human apoA-I transgenic mice. J Lipid Res 1999; 40:648-653
  124. Ramharack R, Barkalow D, Spahr MA. Dominant negative effect of TGF-beta1 and TNF-alpha on basal and IL-6-induced lipoprotein(a) and apolipoprotein(a) mRNA expression in primary monkey hepatocyte cultures. Arterioscler Thromb Vasc Biol 1998; 18:984-990
  125. Wade DP, Clarke JG, Lindahl GE, Liu AC, Zysow BR, Meer K, Schwartz K, Lawn RM. 5' control regions of the apolipoprotein(a) gene and members of the related plasminogen gene family. Proc Natl Acad Sci U S A 1993; 90:1369-1373
  126. Schultz O, Oberhauser F, Saech J, Rubbert-Roth A, Hahn M, Krone W, Laudes M. Effects of inhibition of interleukin-6 signalling on insulin sensitivity and lipoprotein (a) levels in human subjects with rheumatoid diseases. PLoS One 2010; 5:e14328
  127. Berneis KK, Krauss RM. Metabolic origins and clinical significance of LDL heterogeneity. J Lipid Res 2002; 43:1363-1379
  128. Tribble DL, Rizzo M, Chait A, Lewis DM, Blanche PJ, Krauss RM. Enhanced oxidative susceptibility and reduced antioxidant content of metabolic precursors of small, dense low-density lipoproteins. Am J Med 2001; 110:103-110
  129. Borba EF, Carvalho JF, Bonfa E. Mechanisms of dyslipoproteinemias in systemic lupus erythematosus. Clin Dev Immunol 2006; 13:203-208
  130. Esteve E, Ricart W, Fernandez-Real JM. Dyslipidemia and inflammation: an evolutionary conserved mechanism. Clin Nutr 2005; 24:16-31
  131. Frostegard J, Svenungsson E, Wu R, Gunnarsson I, Lundberg IE, Klareskog L, Horkko S, Witztum JL. Lipid peroxidation is enhanced in patients with systemic lupus erythematosus and is associated with arterial and renal disease manifestations. Arthritis Rheum 2005; 52:192-200
  132. Asha K, Singal A, Sharma SB, Arora VK, Aggarwal A. Dyslipidaemia & oxidative stress in patients of psoriasis: Emerging cardiovascular risk factors. Indian J Med Res 2017; 146:708-713
  133. Linton MF, Yancey PG, Davies SS, Jerome WGJ, Linton EF, Vickers KC. The Role of Lipids and Lipoproteins in Atherosclerosis. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA) 2019.
  134. Hahn BH, Grossman J, Chen W, McMahon M. The pathogenesis of atherosclerosis in autoimmune rheumatic diseases: roles of inflammation and dyslipidemia. J Autoimmun 2007; 28:69-75
  135. Mehta NN, Gelfand JM. High-density lipoprotein cholesterol function improves after successful treatment of psoriasis: a step forward in the right direction. J Invest Dermatol 2014; 134:592-595
  136. Feingold KR, Grunfeld C. The acute phase response inhibits reverse cholesterol transport. J Lipid Res 2010; 51:682-684
  137. Charles-Schoeman C, Lee YY, Grijalva V, Amjadi S, FitzGerald J, Ranganath VK, Taylor M, McMahon M, Paulus HE, Reddy ST. Cholesterol efflux by high density lipoproteins is impaired in patients with active rheumatoid arthritis. Ann Rheum Dis 2012; 71:1157-1162
  138. Holzer M, Wolf P, Curcic S, Birner-Gruenberger R, Weger W, Inzinger M, El-Gamal D, Wadsack C, Heinemann A, Marsche G. Psoriasis alters HDL composition and cholesterol efflux capacity. J Lipid Res 2012; 53:1618-1624
  139. Mehta NN, Li R, Krishnamoorthy P, Yu Y, Farver W, Rodrigues A, Raper A, Wilcox M, Baer A, DerOhannesian S, Wolfe M, Reilly MP, Rader DJ, VanVoorhees A, Gelfand JM. Abnormal lipoprotein particles and cholesterol efflux capacity in patients with psoriasis. Atherosclerosis 2012; 224:218-221
  140. Ronda N, Favari E, Borghi MO, Ingegnoli F, Gerosa M, Chighizola C, Zimetti F, Adorni MP, Bernini F, Meroni PL. Impaired serum cholesterol efflux capacity in rheumatoid arthritis and systemic lupus erythematosus. Ann Rheum Dis 2014; 73:609-615
  141. Annema W, Nijstad N, Tolle M, de Boer JF, Buijs RV, Heeringa P, van der Giet M, Tietge UJ. Myeloperoxidase and serum amyloid A contribute to impaired in vivo reverse cholesterol transport during the acute phase response but not group IIA secretory phospholipase A(2). J Lipid Res 2010; 51:743-754
  142. Pussinen PJ, Jauhiainen M, Vilkuna-Rautiainen T, Sundvall J, Vesanen M, Mattila K, Palosuo T, Alfthan G, Asikainen S. Periodontitis decreases the antiatherogenic potency of high density lipoprotein. J Lipid Res 2004; 45:139-147
  143. Zimetti F, De Vuono S, Gomaraschi M, Adorni MP, Favari E, Ronda N, Ricci MA, Veglia F, Calabresi L, Lupattelli G. Plasma cholesterol homeostasis, HDL remodeling and function during the acute phase reaction. J Lipid Res 2017; 58:2051-2060
  144. Gkolfinopoulou C, Stratikos E, Theofilatos D, Kardassis D, Voulgari PV, Drosos AA, Chroni A. Impaired Antiatherogenic Functions of High-density Lipoprotein in Patients with Ankylosing Spondylitis. J Rheumatol 2015; 42:1652-1660
  145. Fallah S, Marsche G, Mohamadinarab M, Mohassel Azadi S, Ghasri H, Fadaei R, Moradi N. Impaired cholesterol efflux capacity in patients with Helicobacter pylori infection and its relation with inflammation. J Clin Lipidol 2021; 15:218-226 e211
  146. McGillicuddy FC, de la Llera Moya M, Hinkle CC, Joshi MR, Chiquoine EH, Billheimer JT, Rothblat GH, Reilly MP. Inflammation impairs reverse cholesterol transport in vivo. Circulation 2009; 119:1135-1145
  147. Holzer M, Wolf P, Inzinger M, Trieb M, Curcic S, Pasterk L, Weger W, Heinemann A, Marsche G. Anti-psoriatic therapy recovers high-density lipoprotein composition and function. J Invest Dermatol 2014; 134:635-642
  148. Liao KP, Playford MP, Frits M, Coblyn JS, Iannaccone C, Weinblatt ME, Shadick NS, Mehta NN. The association between reduction in inflammation and changes in lipoprotein levels and HDL cholesterol efflux capacity in rheumatoid arthritis. J Am Heart Assoc 2015; 4
  149. Ronda N, Greco D, Adorni MP, Zimetti F, Favari E, Hjeltnes G, Mikkelsen K, Borghi MO, Favalli EG, Gatti R, Hollan I, Meroni PL, Bernini F. New anti-atherosclerotic activity of methotrexate and adalimumab: Complementary effects on lipoprotein function and macrophage cholesterol metabolism. Arthritis Rheumatol 2015;
  150. Cheng Y, Chen Y, Sun X, Li Y, Huang C, Deng H, Li Z. Identification of potential serum biomarkers for rheumatoid arthritis by high-resolution quantitative proteomic analysis. Inflammation 2014; 37:1459-1467
  151. Ferretti G, Bacchetti T, Campanati A, Simonetti O, Liberati G, Offidani A. Correlation between lipoprotein(a) and lipid peroxidation in psoriasis: role of the enzyme paraoxonase-1. Br J Dermatol 2012; 166:204-207
  152. He L, Qin S, Dang L, Song G, Yao S, Yang N, Li Y. Psoriasis decreases the anti-oxidation and anti-inflammation properties of high-density lipoprotein. Biochim Biophys Acta 2014; 1841:1709-1715
  153. Isik A, Koca SS, Ustundag B, Celik H, Yildirim A. Paraoxonase and arylesterase levels in rheumatoid arthritis. Clin Rheumatol 2007; 26:342-348
  154. Tanimoto N, Kumon Y, Suehiro T, Ohkubo S, Ikeda Y, Nishiya K, Hashimoto K. Serum paraoxonase activity decreases in rheumatoid arthritis. Life Sci 2003; 72:2877-2885
  155. Tripi LM, Manzi S, Chen Q, Kenney M, Shaw P, Kao A, Bontempo F, Kammerer C, Kamboh MI. Relationship of serum paraoxonase 1 activity and paraoxonase 1 genotype to risk of systemic lupus erythematosus. Arthritis Rheum 2006; 54:1928-1939
  156. Usta M, Turan E, Aral H, Inal BB, Gurel MS, Guvenen G. Serum paraoxonase-1 activities and oxidative status in patients with plaque-type psoriasis with/without metabolic syndrome. J Clin Lab Anal 2011; 25:289-295
  157. Draganov D, Teiber J, Watson C, Bisgaier C, Nemzek J, Remick D, Standiford T, La Du B. PON1 and oxidative stress in human sepsis and an animal model of sepsis. Adv Exp Med Biol 2010; 660:89-97
  158. Novak F, Vavrova L, Kodydkova J, Novak F, Sr., Hynkova M, Zak A, Novakova O. Decreased paraoxonase activity in critically ill patients with sepsis. Clin Exp Med 2010; 10:21-25
  159. Charles-Schoeman C, Watanabe J, Lee YY, Furst DE, Amjadi S, Elashoff D, Park G, McMahon M, Paulus HE, Fogelman AM, Reddy ST. Abnormal function of high-density lipoprotein is associated with poor disease control and an altered protein cargo in rheumatoid arthritis. Arthritis Rheum 2009; 60:2870-2879
  160. Charles-Schoeman C, Khanna D, Furst DE, McMahon M, Reddy ST, Fogelman AM, Paulus HE, Park GS, Gong T, Ansell BJ. Effects of high-dose atorvastatin on antiinflammatory properties of high density lipoprotein in patients with rheumatoid arthritis: a pilot study. J Rheumatol 2007; 34:1459-1464
  161. Alebna PL, Ambrosio M, Martin M, Martey S, Spitz JA, Sharma G, Van Tassell B, Dixon DL, Hundley WG, Salloum FN, Mehta A. Association of Lipoprotein(a) with cardiovascular events among individuals with autoimmune conditions. Atherosclerosis 2025; 406:119244
  162. Barcia AM, Harris HW. Triglyceride-rich lipoproteins as agents of innate immunity. Clin Infect Dis 2005; 41 Suppl 7:S498-503
  163. Han R. Plasma lipoproteins are important components of the immune system. Microbiol Immunol 2010; 54:246-253
  164. Pirillo A, Catapano AL, Norata GD. HDL in infectious diseases and sepsis. Handb Exp Pharmacol 2015; 224:483-508
  165. Peters MJ, van Halm VP, Voskuyl AE, Smulders YM, Boers M, Lems WF, Visser M, Stehouwer CD, Dekker JM, Nijpels G, Heine R, Dijkmans BA, Nurmohamed MT. Does rheumatoid arthritis equal diabetes mellitus as an independent risk factor for cardiovascular disease? A prospective study. Arthritis Rheum 2009; 61:1571-1579
  166. Score working group. E. S. C. Cardiovascular risk collaboration. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 2021; 42:2439-2454
  167. Hippisley-Cox J, Coupland C, Robson J, Brindle P. Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database. BMJ 2010; 341:c6624
  168. Arts EE, Popa C, Den Broeder AA, Semb AG, Toms T, Kitas GD, van Riel PL, Fransen J. Performance of four current risk algorithms in predicting cardiovascular events in patients with early rheumatoid arthritis. Ann Rheum Dis 2015; 74:668-674
  169. Crowson CS, Matteson EL, Roger VL, Therneau TM, Gabriel SE. Usefulness of risk scores to estimate the risk of cardiovascular disease in patients with rheumatoid arthritis. Am J Cardiol 2012; 110:420-424
  170. Kawai VK, Chung CP, Solus JF, Oeser A, Raggi P, Stein CM. The ability of the 2013 American College of Cardiology/American Heart Association cardiovascular risk score to identify rheumatoid arthritis patients with high coronary artery calcification scores. Arthritis Rheumatol 2015; 67:381-385
  171. Kawai VK, Solus JF, Oeser A, Rho YH, Raggi P, Bian A, Gebretsadik T, Shintani A, Stein CM. Novel cardiovascular risk prediction models in patients with systemic lupus erythematosus. Lupus 2011; 20:1526-1534
  172. Purcarea A, Sovaila S, Udrea G, Rezus E, Gheorghe A, Tiu C, Stoica V. Utility of different cardiovascular disease prediction models in rheumatoid arthritis. J Med Life 2014; 7:588-594
  173. Eder L, Chandran V, Gladman DD. The Framingham Risk Score underestimates the extent of subclinical atherosclerosis in patients with psoriatic disease. Ann Rheum Dis 2014; 73:1990-1996
  174. Galarza-Delgado DA, Azpiri-Lopez JR, Colunga-Pedraza IJ, Guajardo-Jauregui N, Rodriguez-Romero AB, Lugo-Perez S, Cardenas-de la Garza JA, Arvizu-Rivera RI, Flores-Alvarado DE, Ilizaliturri-Guerra O, Garcia-Arellano G, Garza-Acosta AC. Cardiovascular risk reclassification according to six cardiovascular risk algorithms and carotid ultrasound in psoriatic arthritis patients. Clin Rheumatol 2022; 41:1413-1420
  175. Guajardo-Jauregui N, Cardenas-de la Garza JA, Galarza-Delgado DA, Azpiri-Lopez JR, Arvizu-Rivera RI, Polina-Lugo RL, Colunga-Pedraza IJ. Inadequate identification of high cardiovascular risk and carotid plaques in rheumatoid arthritis patients by the 2024 Predicting Risk of Cardiovascular EVENTs and the 2013 Atherosclerotic Cardiovascular Disease algorithms: findings from a Mexican cohort. Clin Rheumatol 2025; 44:161-169
  176. Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Jr., Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol. Circulation 2018:CIR0000000000000625
  177. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, Chapman MJ, De Backer GG, Delgado V, Ference BA, Graham IM, Halliday A, Landmesser U, Mihaylova B, Pedersen TR, Riccardi G, Richter DJ, Sabatine MS, Taskinen MR, Tokgozoglu L, Wiklund O, Group ESCSD. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J 2020; 41:111-188
  178. Feingold KR. Guidelines for the Management of High Blood Cholesterol. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2025.
  179. Atzeni F, Rodriguez-Carrio J, Popa CD, Nurmohamed MT, Szucs G, Szekanecz Z. Cardiovascular effects of approved drugs for rheumatoid arthritis. Nat Rev Rheumatol 2021; 17:270-290
  180. Ajeganova S, Andersson ML, Frostegard J, Hafstrom I. Disease factors in early rheumatoid arthritis are associated with differential risks for cardiovascular events and mortality depending on age at onset: a 10-year observational cohort study. J Rheumatol 2013; 40:1958-1966
  181. Arts EE, Fransen J, Den Broeder AA, van Riel P, Popa CD. Low disease activity (DAS28</=3.2) reduces the risk of first cardiovascular event in rheumatoid arthritis: a time-dependent Cox regression analysis in a large cohort study. Ann Rheum Dis 2017; 76:1693-1699
  182. Arts EE, Fransen J, den Broeder AA, Popa CD, van Riel PL. The effect of disease duration and disease activity on the risk of cardiovascular disease in rheumatoid arthritis patients. Ann Rheum Dis 2015; 74:998-1003
  183. Myasoedova E, Chandran A, Ilhan B, Major BT, Michet CJ, Matteson EL, Crowson CS. The role of rheumatoid arthritis (RA) flare and cumulative burden of RA severity in the risk of cardiovascular disease. Ann Rheum Dis 2016; 75:560-565
  184. Zhang J, Chen L, Delzell E, Muntner P, Hillegass WB, Safford MM, Millan IY, Crowson CS, Curtis JR. The association between inflammatory markers, serum lipids and the risk of cardiovascular events in patients with rheumatoid arthritis. Ann Rheum Dis 2014; 73:1301-1308
  185. Juneblad K, Rantapaa-Dahlqvist S, Alenius GM. Disease Activity and Increased Risk of Cardiovascular Death among Patients with Psoriatic Arthritis. J Rheumatol 2016; 43:2155-2161
  186. Ahlehoff O. Psoriasis and Cardiovascular Disease: epidemiological studies. Dan Med Bull 2011; 58:B4347
  187. Roubille C, Richer V, Starnino T, McCourt C, McFarlane A, Fleming P, Siu S, Kraft J, Lynde C, Pope J, Gulliver W, Keeling S, Dutz J, Bessette L, Bissonnette R, Haraoui B. The effects of tumour necrosis factor inhibitors, methotrexate, non-steroidal anti-inflammatory drugs and corticosteroids on cardiovascular events in rheumatoid arthritis, psoriasis and psoriatic arthritis: a systematic review and meta-analysis. Ann Rheum Dis 2015; 74:480-489
  188. Feingold KR. Triglyceride Lowering Drugs. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA) 2024.
  189. Feingold KR. Cholesterol Lowering Drugs. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA) 2024.
  190. McCarey DW, McInnes IB, Madhok R, Hampson R, Scherbakov O, Ford I, Capell HA, Sattar N. Trial of Atorvastatin in Rheumatoid Arthritis (TARA): double-blind, randomised placebo-controlled trial. Lancet 2004; 363:2015-2021
  191. Semb AG, Holme I, Kvien TK, Pedersen TR. Intensive lipid lowering in patients with rheumatoid arthritis and previous myocardial infarction: an explorative analysis from the incremental decrease in endpoints through aggressive lipid lowering (IDEAL) trial. Rheumatology (Oxford) 2011; 50:324-329
  192. Ports WC, Fayyad R, DeMicco DA, Laskey R, Wolk R. Effectiveness of Lipid-Lowering Statin Therapy in Patients With and Without Psoriasis. Clin Drug Investig 2017; 37:775-785
  193. Mok CC, Wong CK, To CH, Lai JP, Lam CS. Effects of rosuvastatin on vascular biomarkers and carotid atherosclerosis in lupus: a randomized, double-blind, placebo-controlled trial. Arthritis Care Res (Hoboken) 2011; 63:875-883
  194. Plazak W, Gryga K, Dziedzic H, Tomkiewicz-Pajak L, Konieczynska M, Podolec P, Musial J. Influence of atorvastatin on coronary calcifications and myocardial perfusion defects in systemic lupus erythematosus patients: a prospective, randomized, double-masked, placebo-controlled study. Arthritis Res Ther 2011; 13:R117
  195. Schanberg LE, Sandborg C, Barnhart HX, Ardoin SP, Yow E, Evans GW, Mieszkalski KL, Ilowite NT, Eberhard A, Imundo LF, Kimura Y, von Scheven E, Silverman E, Bowyer SL, Punaro M, Singer NG, Sherry DD, McCurdy D, Klein-Gitelman M, Wallace C, Silver R, Wagner-Weiner L, Higgins GC, Brunner HI, Jung L, Soep JB, Reed AM, Provenzale J, Thompson SD, Atherosclerosis Prevention in Pediatric Lupus Erythematosus I. Use of atorvastatin in systemic lupus erythematosus in children and adolescents. Arthritis Rheum 2012; 64:285-296
  196. Grinspoon SK, Fitch KV, Zanni MV, Fichtenbaum CJ, Umbleja T, Aberg JA, Overton ET, Malvestutto CD, Bloomfield GS, Currier JS, Martinez E, Roa JC, Diggs MR, Fulda ES, Paradis K, Wiviott SD, Foldyna B, Looby SE, Desvigne-Nickens P, Alston-Smith B, Leon-Cruz J, McCallum S, Hoffmann U, Lu MT, Ribaudo HJ, Douglas PS,Reprieve Investigators. Pitavastatin to Prevent Cardiovascular Disease in HIV Infection. N Engl J Med 2023; 389:687-699
  197. Cholesterol Treatment Trialists Collaboration, Baigent C, Blackwell L, Emberson J, Holland LE, Reith C, Bhala N, Peto R, Barnes EH, Keech A, Simes J, Collins R. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet 2010; 376:1670-1681
  198. Norby GE, Holme I, Fellstrom B, Jardine A, Cole E, Abedini S, Holdaas H, Assessment of Lescol in Renal Transplantation Study Group. Effect of fluvastatin on cardiac outcomes in kidney transplant patients with systemic lupus erythematosus: a randomized placebo-controlled study. Arthritis Rheum 2009; 60:1060-1064
  199. Semb AG, Kvien TK, DeMicco DA, Fayyad R, Wun CC, LaRosa JC, Betteridge J, Pedersen TR, Holme I. Effect of intensive lipid-lowering therapy on cardiovascular outcome in patients with and those without inflammatory joint disease. Arthritis Rheum 2012; 64:2836-2846
  200. Kitas GD, Nightingale P, Armitage J, Sattar N, Belch JJF, Symmons DPM, Consortium TR. A Multicenter, Randomized, Placebo-Controlled Trial of Atorvastatin for the Primary Prevention of Cardiovascular Events in Patients With Rheumatoid Arthritis. Arthritis Rheumatol 2019; 71:1437-1449
  201. Lv S, Liu Y, Zou Z, Li F, Zhao S, Shi R, Bian R, Tian H. The impact of statins therapy on disease activity and inflammatory factor in patients with rheumatoid arthritis: a meta-analysis. Clin Exp Rheumatol 2015; 33:69-76
  202. Xing B, Yin YF, Zhao LD, Wang L, Zheng WJ, Chen H, Wu QJ, Tang FL, Zhang FC, Shan G, Zhang X. Effect of 3-hydroxy-3-methylglutaryl-coenzyme a reductase inhibitor on disease activity in patients with rheumatoid arthritis: a meta-analysis. Medicine (Baltimore) 2015; 94:e572
  203. Mowla K, Rajai E, Ghorbani A, Dargahi-Malamir M, Bahadoram M, Mohammadi S. Effect of Atorvastatin on the Disease Activity and Severity of Rheumatoid Arthritis: Double-Blind Randomized Controlled Trial. J Clin Diagn Res 2016; 10:OC32-36
  204. Ren C, Li M. The efficacy of statins in the treatment of rheumatoid arthritis: A systematic review and meta-analysis. Medicine (Baltimore) 2023; 102:e35088
  205. Petri MA, Kiani AN, Post W, Christopher-Stine L, Magder LS. Lupus Atherosclerosis Prevention Study (LAPS). Ann Rheum Dis 2011; 70:760-765
  206. Mosiewicz J, Pietrzak A, Chodorowska G, Trojnar M, Szepietowski J, Reich K, Rizzo M. Rational for statin use in psoriatic patients. Arch Dermatol Res 2013; 305:467-472
  207. Socha M, Pietrzak A, Grywalska E, Pietrzak D, Matosiuk D, Kicinski P, Rolinski J. The effect of statins on psoriasis severity: a meta-analysis of randomized clinical trials. Arch Med Sci 2020; 16:1-7
  208. Fajardo ME, Rocha ML, Sanchez-Marin FJ, Espinosa-Chavez EJ. Effect of atorvastatin on chronic periodontitis: a randomized pilot study. J Clin Periodontol 2010; 37:1016-1022
  209. Norata GD, Catapano AL. Statins and periodontal inflammation: a pleiotropic effect of statins or a pleiotropic effect of LDL-cholesterol lowering? Atherosclerosis 2014; 234:381-382
  210. Subramanian S, Emami H, Vucic E, Singh P, Vijayakumar J, Fifer KM, Alon A, Shankar SS, Farkouh M, Rudd JH, Fayad ZA, Van Dyke TE, Tawakol A. High-dose atorvastatin reduces periodontal inflammation: a novel pleiotropic effect of statins. J Am Coll Cardiol 2013; 62:2382-2391
  211. Tralhao AF, Ces de Souza-Dantas V, Salluh JI, Povoa PM. Impact of statins in outcomes of septic patients: a systematic review. Postgrad Med 2014; 126:45-58
  212. Wan YD, Sun TW, Kan QC, Guan FX, Zhang SG. Effect of statin therapy on mortality from infection and sepsis: a meta-analysis of randomized and observational studies. Crit Care 2014; 18:R71
  213. Pasin L, Landoni G, Castro ML, Cabrini L, Belletti A, Feltracco P, Finco G, Carozzo A, Chiesa R, Zangrillo A. The effect of statins on mortality in septic patients: a meta-analysis of randomized controlled trials. PLoS One 2013; 8:e82775
  214. Chen M, Ji M, Si X. The effects of statin therapy on mortality in patients with sepsis: A meta-analysis of randomized trials. Medicine (Baltimore) 2018; 97:e11578
  215. Pertzov B, Eliakim-Raz N, Atamna H, Trestioreanu AZ, Yahav D, Leibovici L. Hydroxymethylglutaryl-CoA reductase inhibitors (statins) for the treatment of sepsis in adults - a systematic review and meta-analysis. Clin Microbiol Infect 2018;
  216. National Heart, Lung, Blood Institute, Ards Clinical Trials Network, Truwit JD, Bernard GR, Steingrub J, Matthay MA, Liu KD, Albertson TE, Brower RG, Shanholtz C, Rock P, Douglas IS, deBoisblanc BP, Hough CL, Hite RD, Thompson BT. Rosuvastatin for sepsis-associated acute respiratory distress syndrome. N Engl J Med 2014; 370:2191-2200
  217. Diaz-Arocutipa C, Melgar-Talavera B, Alvarado-Yarasca A, Saravia-Bartra MM, Cazorla P, Belzusarri I, Hernandez AV. Statins reduce mortality in patients with COVID-19: an updated meta-analysis of 147 824 patients. Int J Infect Dis 2021; 110:374-381
  218. Kollias A, Kyriakoulis KG, Kyriakoulis IG, Nitsotolis T, Poulakou G, Stergiou GS, Syrigos K. Statin use and mortality in COVID-19 patients: Updated systematic review and meta-analysis. Atherosclerosis 2021; 330:114-121
  219. Inspiration- S. Investigators. Atorvastatin versus placebo in patients with covid-19 in intensive care: randomized controlled trial. BMJ 2022; 376:e068407
  220. Ghafoori M, Saadati H, Taghavi M, Azimian A, Alesheikh P, Mohajerzadeh MS, Behnamfar M, Pakzad M, Rameshrad M. Survival of the hospitalized patients with COVID-19 receiving atorvastatin: A randomized clinical trial. J Med Virol 2022; 94:3160-3168
  221. Ren Y, Wang G, Han D. Statins in hospitalized COVID-19 patients: A systematic review and meta-analysis of randomized controlled trials. J Med Virol 2023; 95:e28823
  222. Kao G, Chen Y, Xiao J, Fan J. A meta-analysis of randomized controlled trials of statin-based therapy in patients with COVID-19. Int J Clin Pharmacol Ther 2023; 61:482-491
  223. Maki-Petaja KM, Booth AD, Hall FC, Wallace SM, Brown J, McEniery CM, Wilkinson IB. Ezetimibe and simvastatin reduce inflammation, disease activity, and aortic stiffness and improve endothelial function in rheumatoid arthritis. J Am Coll Cardiol 2007; 50:852-858
  224. Zimerman A, Kunzler ALF, Weber BN, Ran X, Murphy SA, Wang H, Honarpour N, Keech AC, Sever PS, Sabatine MS, Giugliano RP. Intensive Lowering of LDL Cholesterol Levels With Evolocumab in Autoimmune or Inflammatory Diseases: An Analysis of the FOURIER Trial. Circulation 2025; 151:1467-1476
  225. Feingold KR. The Effect of Diet on Cardiovascular Disease and Lipid and Lipoprotein Levels. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dhatariya K, Dungan K, Hershman JM, Hofland J, Kalra S, Kaltsas G, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Morley JE, New M, Purnell J, Sahay R, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2024.
  226. Launay-Vacher V, Izzedine H, Deray G. Statins' dosage in patients with renal failure and cyclosporine drug-drug interactions in transplant recipient patients. Int J Cardiol 2005; 101:9-17
  227. Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT, Jr., Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM, Reduce-It Investigators. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med 2018;
  228. Feingold KR. Pancreatitis Secondary to Hypertriglyceridemia. In: Feingold KR, Ahmed SF, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, de Herder WW, Dhatariya K, Dungan K, Hofland J, Kalra S, Kaltsas G, Kapoor N, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, Levy M, McGee EA, McLachlan R, Muzumdar R, Purnell J, Rey R, Sahay R, Shah AS, Singer F, Sperling MA, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA) 2022.
  229. Smit RA, Jukema JW, Trompet S. Increasing HDL-C levels with medication: current perspectives. Curr Opin Lipidol 2017; 28:361-366

Vitamin D: Production, Metabolism, and Mechanisms of Action

ABSTRACT

 

Vitamin D production in the skin under the influence of sunlight (UVB) is maximized at levels of sunlight exposure that do not burn the skin. Further metabolism of vitamin D to its major circulating form (25(OH)D) and hormonal form (1,25(OH)2D) takes place in the liver and kidney, respectively, but also in other tissues where the 1,25(OH)2D produced serves a paracrine/autocrine function: examples include the skin, cells of the immune system, parathyroid gland, intestinal epithelium, prostate, and breast. Parathyroid hormone, FGF 23, calcium and phosphate are the major regulators of the renal 1-hydroxylase (CYP27B1, the enzyme producing 1,25(OH)2D); regulation of the extra renal 1-hydroxylase differs from that in the kidney and involves cytokines. The major enzyme that catabolizes 25(OH)D and 1,25(OH)2D is the 24-hydroxylase; like the 1-hydroxylase it is tightly controlled in the kidney in a manner opposite to that of the 1-hydroxylase, but like the 1-hydroxylase it is widespread in other tissues where its regulation is different from that of the kidney. Vitamin D and its metabolites are carried in the blood bound to vitamin D binding protein (DBP) and albumin--for most tissues it is the free (i.e.. unbound) metabolite that enters the cell; however, DBP bound metabolites can enter some cells such as the kidney and parathyroid gland through a megalin/cubilin mechanism. Most but not all actions of 1,25(OH)2D are mediated by the vitamin D receptor (VDR). VDR is a transcription factor that partners with other transcription factors such as retinoid X receptor that when bound to 1,25(OH)2D regulates gene transcription either positively or negatively depending on other cofactors to which it binds or interacts. The VDR is found in most cells, not just those involved with bone and mineral homeostasis (i.e.. bone, gut, kidney) resulting in widespread actions of 1,25(OH)2D on many physiological and pathologic processes. Animal studies indicate that vitamin D has beneficial effects on various cancers, blood pressure, heart disease, immunologic disorders, but these non-skeletal effects have been difficult to prove in humans in randomized controlled trials. Analogs of 1,25(OH)2D are being developed to achieve specificity for non-skeletal target tissues such as the parathyroid gland, skin, and cancers to avoid the hypercalcemia resulting from 1,25(OH)2D itself. The level of vitamin D intake and achieved serum levels of 25(OH)D that are optimal and safe for skeletal health and the non-skeletal actions remain controversial but are likely between an intake of 800-2000IU vitamin D in the diet and 20-50ng/ml 25(OH)D in the blood.

 

OVERVIEW

 

Rickets became a public health problem with the movement of the population from the farms to the cities during the Industrial Revolution. Various foods such as cod liver oil and irradiation of other foods including plants were found to prevent or cure this disease, leading eventually to the discovery of the active principle—vitamin D. Vitamin D comes in two forms (D2 and D3) which differ chemically in their side chains. These structural differences alter their binding to the carrier protein vitamin D binding protein (DBP) and their metabolism, but in general the biologic activity of their active metabolites is comparable.

 

Vitamin D3 is produced in the skin from 7-dehydrocholesterol by UV irradiation, which breaks the B ring to form pre-D3. Pre-D3 isomerizes to D3 but with continued UV irradiation to tachysterol and lumisterol. D3 is preferentially removed from the skin, bound to DBP. The liver and other tissues metabolize vitamin D, whether from the skin or oral ingestion, to 25OHD, the principal circulating form of vitamin D. Several enzymes have 25-hydroxylase activity, but CYP2R1 is the most important. 25OHD is then further metabolized to 1,25(OH)2D principally in the kidney, by the enzyme CYP27B1, although other tissues including various epithelial cells, cells of the immune system, and the parathyroid gland contain this enzyme. 1,25(OH)2D is the principal hormonal form of vitamin D, responsible for most of its biologic actions. The production of 1,25(OH)2D in the kidney is tightly controlled, being stimulated by parathyroid hormone (PTH), and inhibited by calcium, phosphate, and FGF23. Extrarenal production of 1,25(OH)2D as in keratinocytes and macrophages is under different control, being stimulated primarily by cytokines such as tumor necrosis factor alfa (TNFα) and interferon gamma (IFNγ). 1,25(OH)2D reduces 1,25(OH)2D levels in cells primarily by stimulating its catabolism through the induction of CYP24A1, the 24-hydroxylase.  25OHD and 1,25(OH)2D are hydroxylated in the 24 position by this enzyme to form 24,25(OH)2D and 1,24,25(OH)3D, respectively.  This 24-hydroxylation is generally the first step in the catabolism of these active metabolites to the final end product of calcitroic acid, although 24,25(OH)2D and 1,24,25(OH)3D have their own biologic activities. CYP24A1 also has 23-hydroxylase activity that leads to a different end product. Different species differ in their ratio of 23-hydroxylase/24-hydroxyase activity in their CYP24A1 enzyme, but in humans the 24-hydroxyase activity predominates. Like CYP27B1, CYP24A1 is widely expressed. CYP24A1 is induced by 1,25(OH)2D in most tissues, which serves as an important feedback mechanism to avoid vitamin D toxicity. In the kidney, PTH inhibits CYP24A1, whereas FGF23, calcium, and phosphate stimulates it, just the opposite of the actions of these hormones and minerals on CYP27B1. However, such regulation is not seen in other tissues. In macrophages, CYP24A1 is either missing or defective, so in situations such as granulomatous diseases like sarcoidosis in which macrophage production of 1,25(OH)2D is increased, hypercalcemia and hypercalciuria due to elevated 1,25(OH)2D can occur without the counter regulation by CYP24A1.

 

The vitamin D metabolites are transported in blood bound to DBP and albumin. Very little circulates as the free form. The liver produces DBP and albumin, production that is decreased in liver disease, and these proteins may be lost in protein losing enteropathies or the nephrotic syndrome. Thus, individuals with liver, intestinal, or renal diseases which result in low levels of these transport proteins may have low total levels of the vitamin D metabolites without necessarily being vitamin D deficient as their free concentrations may be normal.

 

The receptor for 1,25(OH)2D (VDR) is a transcription factor regulating the expression of genes which mediate its biologic activity. VDR is a member of a rather large family of nuclear hormone receptors which includes the receptors for glucocorticoids, mineralocorticoids, sex hormones, thyroid hormone, and vitamin A metabolites or retinoids. The VDR is widely distributed, and is not restricted to those tissues considered the classic target tissues of vitamin D. The VDR upon binding to 1,25(OH)2D heterodimerizes with other nuclear hormone receptors, in particular the family of retinoid X receptors. This complex then binds to special DNA sequences called vitamin D response elements (VDRE) generally within the genes it regulates, although these VDREs can be thousands of base pairs from the transcription start site. There are thousands of the VDREs in hundreds of genes, and the profile of active VDREs (and regulated genes) varies from cell to cell.  A variety of additional proteins called coregulators complex with the VDR to activate (coactivators) or inhibit (corepressors) VDR transcriptional activity. Coactivator factors involved in VDR mediated transcription include factors with histone acetylase activity, including steroid receptor coactivator (SRC) 1, SRC 2 and SRC 3, and CREB-binding protein p300, in addition to the SWI–SNF ATP dependent chromatin remodeling complex, methyltransferases and the Mediator complex (aka DRIP), which functions to recruit RNA polymerases. Mediator can extend over large stretches of chromatin marking what is referred to as superenhancers that contain binding sites for multiple transcription factors including that for VDR. In particular, VDR binding sites are associated with sites for other transcription factors such as p63, b-catenin, C–EBPα, C–EBPβ, Runx2, and PU.1, which can cooperate with VDR and VDR coregulators to influence 1,25(OH)2D responses in target cells. Among other functions these coregulators reconfigure the chromatin structure to bring the VDR/VDRE to the transcription start site, explaining how such distant VDR/VDREs can regulate gene transcription. In addition to coactivators there are a number of corepressors. One such corepressor of VDR action in the skin is called hairless, in that its loss or mutation, like that of the VDR, leads to altered hair follicle cycling resulting in baldness. Corepressors typically work by recruiting histone deacetylases (HDAC) or methyl transferases (MT) to the gene which reverses the actions of HAT, leading to a reduction in access to the gene by the transcription machinery. These coregulators can be specific for different genes, and different cells differentially express these coregulators, providing some specificity for the actions of 1,25(OH)2D and VDR.

 

In addition to regulating gene expression, 1,25(OH)2D has a number of non-genomic actions including the ability to stimulate calcium transport across the plasma membrane. The mechanisms mediating these non-genomic actions and their physiologic significance remain unclear. Similarly, it is not clear that all actions of the VDR require the ligand 1,25(OH)2D. The best example of this is the hair loss in animals and subjects with VDR mutations but not in animals and subjects with mutations in CYP27B1, the enzyme producing 1,25(OH)2D.

 

As mentioned, the VDR is widely distributed, and the actions of 1,25(OH)2D are quite varied. The classic target tissues—bone, gut, and kidney—are involved with calcium homeostasis. The mechanisms by which 1,25(OH)2D regulates transcellular calcium transport are best understood in the intestine. Here 1,25(OH)2D stimulates calcium entry across the brush border membrane into the cell, transport of calcium through the cell, and removal of calcium from the cell at the basolateral membrane. Calcium entry at the brush border membrane occurs down a steep electrochemical gradient. It is controlled in large measure by a specific calcium channel called TRPV6 and in humans also by a homologous calcium channel TRPV5. Transport of calcium through the cell is regulated by a class of calcium binding proteins called calbindins. Much of the transport occurs within vesicles that form in the terminal web. Removal of calcium from the cell at the basolateral membrane requires energy and is mediated by the ATP requiring calcium pump or CaATPase (PMCA1b) as well as the sodium/calcium exchange protein (NCX1). 1,25(OH)2D induces TRPV6 and TRPV5, the calbindins, and the CaATPase, but not all aspects of transcellular calcium transport are a function of new protein synthesis. Animals null for calbindin 9k (the major calbindin in mammalian intestine) have little impairment of intestinal calcium transport. Animals null for TRPV6, on the other hand, have a reduction in intestinal calcium transport, but the deficit is not profound. Thus, it is likely that compensatory mechanisms for intestinal calcium transport exist that have yet to be discovered.  Similar mechanisms mediate 1,25(OH)2D regulated calcium reabsorption in the distal tubule of the kidney. The proteins involved are homologous but not identical (TRPV5 and Calbindin 28k, for example). The situation in bone, however, is less clear. VDR are found in osteoblasts, the bone forming cells. 1,25(OH)2D promotes the differentiation of osteoblasts and regulates the production of proteins such as collagen, alkaline phosphatase, and osteocalcin thought to be important in bone formation. 1,25(OH)2D also induces RANKL, a membrane bound protein in osteoblasts and osteocytes that enables these cells to stimulate the formation and activity of osteoclasts. Thus, 1,25(OH)2D regulates both bone formation and bone resorption. Some evidence suggests that the major effect of 1,25(OH)2D on bone is to provide adequate levels of calcium and phosphate from the intestine. The rickets of patients with a mutated VDR or of mice in which the VDR has been deleted can be prevented/corrected by normalizing serum calcium and phosphate levels by dietary means. On the other hand, normal bone formation is not restored, and with time the VDR null mice become osteoporotic despite the high calcium/phosphate diet. Moreover, the VDR in osteoblasts/osteocytes appears to control bone resorption especially when dietary calcium is limited. Whether subjects with VDR mutations in whom calcium and phosphate levels are normalized by diet also develop osteoporosis prematurely or fail to maintain serum calcium in times of calcium deficiency has not been reported. Randomized controlled clinical trials of vitamin D supplementation in ambulatory subjects with adequate vitamin D levels have not shown fracture prevention, although in combination with calcium a reduction in falls has been observed in some studies.

 

The non classic actions of 1,25(OH)2D include regulation of cellular proliferation and differentiation, regulation of hormone secretion, and regulation of immune function. The ability of 1,25(OH)2D to inhibit proliferation and stimulate differentiation has led to the development of a number of analogs in the hopes of treating hyperproliferative disorders such as psoriasis and cancer without raising serum calcium. Psoriasis is now successfully treated with several vitamin D analogs. Observational studies are promising with respect to adequate vitamin D nutrition and cancer prevention. However, randomized controlled clinical trials evaluating supplementation with vitamin D of subjects with adequate vitamin D levels to start with have not been shown to decrease cancer incidence but may be beneficial for cancer mortality. 1,25(OH)2D inhibits parathyroid hormone secretion and stimulates insulin secretion. A number of analogs and 1,25(OH)2D itself are currently available for use in the treatment of secondary hyperparathyroidism accompanying renal failure. Epidemiologic evidence indicates that vitamin D deficiency is associated with increased risk of both type 1 and type 2 diabetes mellitus. Moreover, randomized controlled clinical trials have demonstrated a role for vitamin D supplementation in reducing the conversion of prediabetes to diabetes even in vitamin D replete individuals with even greater benefit in vitamin D deficient patients. The ability of 1,25(OH)2D to regulate immune function is likely part of its efficacy in the treatment of psoriasis. A number of other autoimmune diseases have been found in animal studies to respond favorably to vitamin D and 1,25(OH)2D or its analogs. Epidemiologic evidence linking vitamin D deficiency to increased incidence of these diseases has been reported, with at least one randomized controlled clinical trial supporting a reduction in such diseases with vitamin D supplementation. Similarly epidemiologic evidence linking vitamin D deficiency to a number of respiratory illnesses is substantial, including increased risk of COVID-19 infections.

.

DISCOVERY

 

The first clear description of rickets was by Whistler (1) in 1645. However, it was not until the Industrial Revolution with the mass movement of the population from the farms to the smoke filled cities that rickets became a public health problem, most notably in England where sunlight intensity was already marginal for much of the year. Mellanby (2) in Great Britain and McCollum (3) in the United States developed animal models for rickets and showed that rickets could be cured with cod liver oil. McCollum heated the cod liver oil to destroy its vitamin A content and found that it still had antirachitic properties; he named the antirachitic factor vitamin D. Steenbock and Black (4) then demonstrated that UV irradiation of food, in particular non saponifiable lipids, could treat rickets. Meanwhile, clinical investigations revealed that rickets could be prevented or cured in children with sunlight or artificial UV exposure (5,6) suggesting that what subsequently became known as vitamin D could be produced by irradiation of precursors in vivo. Ultimately, Askew et al. (7) isolated and determined the structure of vitamin D2 (ergocalciferol) from irradiated plant sterols (ergosterol), and Windaus et al. (8) determined the structures and pathway by which 7-dehydrocholesterol (7-DHC) in the skin is converted to vitamin D3 (cholecalciferol). The name vitamin D1 refers to what proved to be an error of an earlier identification and is not used. The structures and pathways of production of vitamin D2 and D3 are shown in figure 1. The structures of vitamins D2 and D3 differ in the side chain where D2 contains a double bond (C22-23) and an additional methyl group attached to C24. In this chapter the designation of D will refer to both D3 and D2.

Figure 1. The production of vitamin D3 from 7-dehydrocholesterol in the epidermis. Sunlight (the ultraviolet B component) breaks the B ring of the cholesterol structure to form pre- D3. Pre-D3 then undergoes a thermal induced rearrangement to form D3. Continued irradiation of pre- D3 leads to the reversible formation of lumisterol3 and tachysterol3 which can revert back to pre-D3 in the dark.

Figure 2. The metabolism of vitamin D. The liver converts vitamin D to 25OHD. The kidney converts 25OHD to 1,25(OH)2D and 24,25(OH)2D. Other tissues contain these enzymes, but the liver is the main source for 25-hydroxylation, and the kidney is the main source for 1α-hydroxylation. Control of metabolism of vitamin D to its active metabolite, 1,25(OH)2D, is exerted primarily at the renal level where calcium, phosphorus, parathyroid hormone, FGF23, and 1,25(OH)2D regulate the levels of 1,25(OH)2D produced.

METABOLISM

 

Vitamin D3 produced in the epidermis must be further metabolized to be active. The first step, 25-hydroxylation, takes place primarily in the liver, although other tissues have this enzymatic activity as well. As will be discussed below, there are several 25-hydroxylases. 25OHD is the major circulating form of vitamin D. However, in order for vitamin D metabolites to achieve maximum biologic activity they must be further hydroxylated in the 1α position by the enzyme CYP27B1; 1,25(OH)2D is the most potent metabolite of vitamin D and accounts for most of its biologic actions. The 1α hydroxylation occurs primarily in the kidney, although as for the 25-hydroxylase, other tissues have this enzyme. Vitamin D and its metabolites, 25OHD and 1,25(OH)2D, can also be hydroxylated in the 24 position. This may serve to activate the metabolite or analog as 1,25(OH)2D and 1,24(OH)2D have similar biologic potency, and 1,24,25(OH)3D has activity approximately 1/10 that of 1,25(OH)2D. However, 24-hydroxylation of metabolites with an existing 25OH group leads to further catabolism. The details of these reactions are described below.

 

Cutaneous Production of Vitamin D3

 

The precursor of vitamin D, 7-dehydrocholesterol (7-DHC) is on the Kandutsch-Russell cholesterol pathway. The final enzymatic reaction mediated by 7-dehyrocholesterol reductase converting 7-DHC to cholesterol is regulated by a number of factors including vitamin D and cholesterol which enhance its degradation thus enabling increased levels of 7-DHC for conversion to vitamin D (9). Although irradiation of 7-DHC was known to produce pre-D3 (which subsequently undergoes a temperature rearrangement of the triene structure to form D3), lumisterol, and tachysterol (figure 1), the physiologic regulation of this pathway was not well understood until the studies of Holick and his colleagues (10-12). They demonstrated that the formation of pre-D3 under the influence of solar or UV irradiation (maximal effective wavelength between 290-310) is relatively rapid and reaches a maximum within hours. UV irradiation further converts pre-D3 to lumisterol and tachysterol. Both the degree of epidermal pigmentation and the intensity of exposure correlate with the time required to achieve this maximal concentration of pre-D3, but do not alter the maximal level achieved. Although pre-D3 levels reach a maximum level, the biologically inactive lumisterol continues to accumulate with continued UV exposure. Tachysterol is also formed, but like pre-D3, does not accumulate with extended UV exposure. The formation of lumisterol is reversible and can be converted back to pre-D3 as pre-D3 levels fall. At 0oC, no D3 is formed; however, at 37oC pre-D3 is slowly converted to D3. Thus, short exposure to sunlight would be expected to lead to a prolonged production of D3 in the exposed skin because of the slow thermal conversion of pre-D3 to D3 and the conversion of lumisterol to pre-D3. Prolonged exposure to sunlight would not produce toxic amounts of D3 because of the photoconversion of pre-D3 to lumisterol and tachysterol as well as the photoconversion of D3 itself to suprasterols I and II and 5,6 transvitamin D3 (13).

 

Melanin in the epidermis, by absorbing UV irradiation, can reduce the effectiveness of sunlight in producing D3 in the skin. This may be one important reason for the lower 25OHD levels (a well-documented surrogate measure for vitamin D levels in the body) in Blacks and Hispanics living in temperate latitudes (14). Sunlight exposure increases melanin production and so provides another mechanism by which excess D3 production can be prevented. The intensity of UV irradiation is also important for effective D3 production. The seasonal variation of 25OHD levels can be quite pronounced with higher levels during the summer months and lower levels during the winter. The extent of this seasonal variation depends on the latitude, and thus the intensity of the sunlight striking the exposed skin. In Edmonton, Canada (52oN) very little D3 is produced in exposed skin from mid-October to mid-April; Boston (42oN) has a somewhat longer period for effective D3 production; whereas in Los Angeles (34oN) and San Juan (18oN) the skin is able to produce D3 all year long (15). These findings apply to sea level. At higher elevations there is less atmospheric absorption of UVB, so that skiers can make vitamin D even in winter on sunny days. Peak D3 production occurs around noon, with a larger portion of the day being capable of producing D3 in the skin during the summer than other times of the year. Clothing (16) and sunscreens (17) effectively prevent D3 production in the covered areas, although at least for many sunscreens this block is not total (18). This is one likely explanation for the observation that the Bedouins in the Middle East, who totally cover their bodies with clothing, are more prone to develop rickets and osteomalacia than the Israeli Jews with comparable sunlight exposure.

 

Hepatic Production of 25OHD

 

The next step in the bioactivation of D2 and D3, hydroxylation to 25OHD, takes place primarily in the liver although a number of other tissues express this enzymatic activity. 25OHD is the major circulating form of vitamin D and provides a clinically useful marker for vitamin D status. DeLuca and colleagues were the first to identify 25OHD and demonstrate its production in the liver over 30 years ago, but ambiguity remains as to the actual enzyme(s) responsible for this activity. 25-hydroxylase activity has been found in both the liver mitochondria and endoplasmic reticulum, and the enzymatic activities appear to differ indicating different proteins. At this point most attention has been paid to the mitochondrial CYP27A1 and the microsomal CYP2R1. However, in mouse knockout studies and in humans with mutations in these enzymes, only CYP2R1 loss is associated with decreased 25OHD levels (19,20). However, deletion or mutation of CYP2R1 does not totally eliminate 25OHD production These are mixed function oxidases but differ in apparent Kms and substrate specificities.

 

The mitochondrial 25-hydroxylase is now well accepted as CYP27A1, an enzyme first identified as catalyzing a critical step in the bile acid synthesis pathway. This is a high capacity, low affinity enzyme consistent with the observation that 25-hydroxylation is not generally rate limiting in vitamin D metabolism. Although initial studies suggested that the vitamin D3-25-hydroxylase and cholestane triol 27-hydroxyase activities in liver mitochondria were due to distinct enzymes with differential regulation, the cloning of CYP27A1 and the demonstration that it contained both activities has put this issue to rest (21-23). CYP27A1 is widely distributed throughout different tissues with highest levels in liver and muscle, but also in kidney, intestine, lung, skin, and bone (21-24).  Mutations in CYP27A1 lead to cerebrotendinous xanthomatosis (25,26), and are associated with abnormal vitamin D and/or calcium metabolism in some but not all of these patients (26-28).  However, mice in which CYP27A1 is deleted actually have elevated 25OHD levels along with the disruption in bile acid synthesis (29). CYP27A1 can hydroxylate vitamin D and related compounds at the 24, 25, and 27 positions. However, D2 appears to be preferentially 24-hydroxylated, whereas D3 is preferentially 25-hydroxylated (30). The 1αOH derivatives of D are more rapidly hydroxylated than the parent compounds(30). These differences between D2 and D3and their 1αOH derivatives may explain the differences in biologic activity between D2 and D3 or between 1αOHD2 and 1αOHD3.

 

The major microsomal 25-hydroxylase is CYP2R1, although other enzymes have been shown in in vitro studies to have 25-hydroxylase activity. This enzyme like that of CYP27A1 is widely distributed, although it is most abundantly expressed in liver, skin, and testes (31). Unlike CYP27A1, CYP2R1 25-hydroxylates D2 and D3 equally (31). Several Nigerian families have been shown to have CYP2R1 mutations in family members with rickets (20,32).  These subjects respond to D therapy but suboptimally (20,32). Mice lacking CYP2R1 have reduced 25OHD levels, unlike mice lacking CYP27A1, but even the combined deletion of CYP2R1 and CYP27A1 does not reduce these levels more than about 70% (19). Thus, neither CYP27A1 nor CYP2R1 by themselves account for all 25-hydroxyase activity in the body, suggesting a role of other yet to be described 25-hydroxylases.

 

Studies of the regulation of 25-hydroxylation have not been completely consistent, most likely because of the initial failure to appreciate that at least two enzymatic activities were involved and because of species differences. In general, 25-hydroxylation in the liver is little affected by vitamin D status. However, CYP27A1 expression in the intestine (33) and kidney (34) is reduced by 1,25(OH)2D. Not surprisingly bile acids decrease CYP27A1 expression (35) as does insulin (36) through an unknown mechanism. Dexamethasone, on the other hand, increases CYP27A1 expression (37). CYP2R1 appears to be mediated by aspects of metabolism. Roizen et al. (38) found that the serum concentration of 25OHD, but not vitamin D, was decreased in mice fed a high fat diet to induce obesity compared with normal weight mice. Moreover, mRNA and protein levels of CYP2R1 were decreased in these obese mice. The expression of other 25-hydroxylases (CYP27A1, CYP3A) or the catabolizing enzyme CYP24A1 were not altered. Aatsinki et al (39) . examined the effect of high fat diet induced obesity, fasting, and type 2 diabetes as well as streptozotocin induced (type 1) diabetes on 25OHD levels in mice.  All these metabolic manipulations decreased the hepatic mRNA and protein concentration of CYP2R1. These authors then demonstrated that the decrease in CYP2R1 was mediated by PPARγ-coactivator-1α (PGC1α), a key metabolic regulator increased by fasting or diabetes. They then showed that the control of CYP2R1 gene expression by PGC1α involved another transcriptional regulator, estrogen-related receptor α (ERRα), which also binds to other nuclear receptors such as VDR and the glucocorticoid receptor (GR). Consistent with this is that dexamethasone, a ligand for GR, decreased hepatic CYP2R1 mRNA and protein concentrations by a mechanism mediated by increased PGC1α.

 

Renal Production of 1,25(OH)2D

 

1,25(OH)2D is the most potent metabolite of vitamin D and mediates most of its hormonal actions. 1,25(OH)2D is produced from 25OHD by the enzyme 25OHD-1α hydroxylase (CYP27B1). The cloning of CYP27B1 by four independent groups (40-43) ended a long effort to determine the structure of this critical enzyme in vitamin D metabolism. Mutations in this gene are responsible for the rare autosomal disease of pseudovitamin D deficiency rickets (40,42,44,45). An animal model in which the gene is knocked out by homologous recombination reproduces the clinical features of this disease including retarded growth, rickets, hypocalcemia, hyperparathyroidism, and undetectable 1,25(OH)2D (46). Unlike VDR null mice and VDR mutations in humans, alopecia is not part of this phenotype.

 

CYP27B1 is a mitochondrial mixed function oxidase with significant homology to other mitochondrial steroid hydroxylases including CYP27A1 (39%), CYP24A1 (30%), CYP11A1 (32%), and CYP11β (33%) (40). However, within the heme-binding domain the homology is much greater with 73% and 65% sequence identity with CYP27A1 and CYP24A1 (40). These mitochondrial P450 enzymes are located in the inner membrane of the mitochondrion and serve as the terminal acceptor for electrons transferred from NADPH through ferrodoxin reductase and ferrodoxin. Expression of CYP27B1 is highest in epidermal keratinocytes (40), cells that previously had been shown to contain high levels of this enzymatic activity (47). However, the kidney also expresses this enzyme in the renal tubules as do the brain, placenta, testes, intestine, lung, breast, macrophages, lymphocytes, parathyroid gland, osteoblasts, and chondrocytes (40,48-51). That said, the kidney is generally considered the major source of circulating levels of 1,25(OH)2D, with the extrarenal CYP27B1 activities providing for local needs under normal circumstances. However, extrarenal sources can lead to increased 1,25(OH)2D and calcium levels in some pathologic conditions to be discussed subsequently.

 

The principal regulators of CYP27B1 activity in the kidney are parathyroid hormone (PTH), FGF23, calcium, phosphate, and 1,25(OH)2D. Extrarenal production tends to be stimulated by cytokines such as IFN-γ and TNF-α more effectively than PTH (52) and may be less inhibited by calcium, phosphate, and 1,25(OH)2D depending on the tissue. Administration of PTH in vivo (53) or in vitro (54,55) stimulates renal production of 1,25(OH)2D. This action of PTH can be mimicked by cAMP (53,55) and forskolin (56,57) indicating that at least part of the effect of PTH is mediated via its activation of adenylate cyclase. However, PTH activation of protein kinase C (PKC) also appears to be involved in that concentrations of PTH sufficient to stimulate PKC activation and 1,25(OH)2D production are below that required to increase cAMP levels (58). Furthermore, synthetic fragments of PTH lacking the ability to activate adenylate cyclase but which stimulate PKC activity were found to increase 1,25(OH)2D production (59). Direct activation of PKC with phorbol esters results in increased 1,25(OH)2D production. Although the promoter of CYP27B1 contains several AP-1 (PKC activated) and cAMP response elements, it is not yet clear how PTH regulates CYP27B1 gene expression (60). However, several mechanisms have been proposed. In one study the nuclear receptor 4A2 acting through a C/EBP consensus element appears to be involved (61). Calcium modulates the ability of PTH to increase 1,25(OH)2D production. Calcium by itself can decrease CYP27B1activity (62,63) and block the stimulation by PTH (64). Given in vivo, calcium can exert its effect in part by reducing PTH secretion, but this does not explain its direct actions in vitro or its effects in parathyroidectomized or PTH infused animals. Phosphate deprivation can stimulate CYP27B1 activity in vivo (65,66) and in vitro (67). The in vivo actions of phosphate deprivation can be blocked by hypophysectomy (68,69)and partially restored by growth hormone (GH) (69,70) and insulin-like growth factor (IGF-I) (71). However, like PTH, the exact mechanism by which GH and/or IGF-I mediates the effects of phosphate on CYP27B1 expression remains unclear.

 

More recently FGF23 has been shown to inhibit CYP27B1 activity in vivo and in vitro (72). FGF23 has been implicated as at least one of the factors responsible for impaired phosphate reabsorption and 1,25(OH)2D production in conditions such as X-linked and autosomal dominant hypophosphatemic rickets and oncogenic osteomalacia (73,74). FGF23 acts through FGF receptors 1 and 3 in conjunction with the coreceptor Klotho, but the mechanism by which FGF23 regulates CYP27B1 remains obscure. High phosphate stimulates FGF23 production from bone, and this is likely the major mechanism by which phosphate leads to decreased CYP27B1 activity (75). 1,25(OH)2D administration leads to reduction in CYP27B1 activity. In the kidney Meyer et al. (76) identified a region in the Cyp27b1 gene that when deleted blocked 1,25(OH)2D production. However, in other tissues no vitamin D response element has been identified in the promoter of the 1α-hydroxylase gene (60). In keratinocytes, 1,25(OH)2D has little or no effect on CYP27B1 mRNA and protein levels when given in vitro. When 24-hydroxylase activity is blocked, 1,25(OH)2D administration fails to reduce the levels of 1,25(OH)2D produced (77,78). Thus, the apparent feedback regulation of CYP27B1 activity by 1,25(OH)2D in most tissues, with the possible exception of the kidney, appears to be due to its stimulation of CYP24A1 and subsequent catabolism, not to a direct effect on CYP27B1 expression or activity. Moreover, 1,25(OH)2D stimulates FGF23 production and inhibits PTH production. Both actions will decrease, indirectly, the ability of 1,25(OH)2D to inhibit its own production (75).  Thus, renal and extrarenal regulation of CYP27B1 by 1,25(OH)2D as well as PTH and FGF23 differ.

 

Renal Production of 24,25(OH)2D

 

The kidney is also the major producer of a second important metabolite of 25OHD, namely 24,25(OH)2D, and the enzyme responsible is 25OHD-24 hydroxylase (CYP24A1) [75]. CYP24A1 and CYP27B1 are homologous enzymes that coexist in the mitochondria of tissues where both are found, such as the kidney tubule. However, these genes are located on different chromosomes (chromosome 20q13 and chromosome 12q14 for CYP24A1 and CYP27B1, respectively, in humans). They share the same ferrodoxin and ferrodoxin reductase components. While CYP27B1 activates the parent molecule, 25OHD, CYP24A1 initiates a series of catabolic steps that lead to its inactivation. However, in some tissues 24,25(OH)2D has been shown to have biologic effects different from 1,25(OH)2D as will be described subsequently. CYP24A1 24-hydroxylates both 25OHD and 1,25(OH)2D. The 24-hydroxylation is then followed by oxidation of 24OH to a 24-keto group, 23-hydroxylation, cleavage between C23-24, and the eventual production of calcitroic acid, a metabolite with no biologic activity. CYP24A1 also has 23-hydroxylase activity, initiating steps that lead to 23/26 lactone formation. Different species have CYP24A1s that differ in their preference for the 24-hydroxylation vs 23-hydroxylation pathway. The human enzyme follows the 24-hydroxylation pathway. Analogs with differences in their side chain are also likely to differ in the pathway utilized. CYP24A1 catalyzes all the steps in this catabolic pathway (79)(80). Although CYP24A1 is highly expressed in the kidney tubule, its tissue distribution is quite broad. In general, CYP24A1 can be found wherever the VDR is found. The affinity for 1,25(OH)2D is higher than that for 25OHD, making this enzyme an efficient means for eliminating 1,25(OH)2D. Thus, CYP24A1 is likely to play an important role in protecting the body against excess 1,25(OH)2D. Indeed, inactivating mutations in CYP24A1 have been found to underlie the disease idiopathic infantile hypercalcemia (81), manifesting as the name suggests with elevated serum calcium and 1,25(OH)2D levels. These individuals may present for the first time as adults, often in the context of increased 1,25(OH)2D production as in pregnancy (82). An animal model in which CYP24A1 has been knocked out likewise showed very high levels of 1,25(OH)2D when treated with vitamin D and impaired mineralization of intramembranous bone (83). The skeletal abnormalities could be corrected by crossing this mouse to one lacking the VDR suggesting that excess 1,25(OH)2D (which acts through the VDR) rather than deficient 24,25(OH)2D (which does not) is to blame (83).

 

The regulation of CYP24A1 in the kidney is almost the mirror image of that of CYP27B1. PTH and 1,25(OH)2D are the dominant regulators, but calcium, phosphate, insulin, FGF23, IGF-I, GH, and sex steroids may also play a role. 1,25(OH)2D induces CYP24A1. The promoter of CYP24A1 has two vitamin D response elements (VDREs) critical for this induction (84-86). Protein kinase C activation as by phorbol esters enhances this induction by 1,25(OH)2D (87). An AP-1 site is found adjacent to the proximal VDRE, but mutation of this site does not appear to block phorbol ester enhancement of CYP24A1 induction by 1,25(OH)2D (88). PTH, on the other hand, inhibits the expression of CYP24A1 in the kidney (89). This action can be reproduced with cAMP (90) and forskolin (56) indicating the role of PTH activated adenylate cyclase (91). PTH has no effect on intestinal CYP24A1, most likely because the intestine does not have PTH receptors. Surprisingly, however, PTH is synergistic with 1,25(OH)2D in stimulating CYP24A1 expression and activity in bone cells which do have PTH receptors, again through a cAMP mediated mechanism (92). This synergism is further potentiated by the addition of insulin (93,94). FGF23 also induces CYP24A1 expression (95). Surprisingly this requires the VDR (95), since FGF23 also inhibits 1,25(OH)2D production and so would be expected to reduce CYP24A1 via a 1,25(OH)2D/VDR mechanism. Restriction in dietary phosphate reduces CYP24A1 expression consistent with a decrease in FGF23, but also in a manner blocked by hypophysectomy (96). GH and IGF-I can reduce CYP24A1 expression in hypophysectomized animals, suggesting that the phosphate effect on CYP24A1 like its opposing effect on CYP27B1, is mediated by GH and IGF-I (96) as well as FGF23. The region(s) of the CYP24A1 promoter mediating these actions of PTH and FGF23 as well as 1,25(OH)2D have recently been mapped (94). Similar to that for CYP27B1 this regulation differs in different cell types. Thus, although different regulators tend to have opposite effects on CYP24A1 and CYP27B1 expression the molecular mechanisms by which the regulation occurs also differ for each enzyme.

 

TRANSPORT IN BLOOD

 

The vitamin D metabolites are transported in blood bound primarily to vitamin D binding protein (DBP) (85-88%) and albumin (12-15%) (97-99). DBP concentrations are normally 4-8µM, well above the concentrations of the vitamin D metabolites, such that DBP is only about 2% saturated. DBP has high affinity for the vitamin D metabolites (Ka=5x108M-1 for 25OHD and 24,25(OH)2D, 4x107M-1 for 1,25(OH)2D and vitamin D), such that under normal circumstances only approximately 0.03% 25OHD and 24,25(OH)2D and 0.4% 1,25(OH)2D are free (98-100). Conditions such as liver disease and nephrotic syndrome resulting in reduced DBP and albumin levels will lead to a reduction in total 25OHD and 1,25(OH)2D levels without necessarily affecting the free concentrations (101) (figure 3). Similarly DBP levels are reduced during acute illness and after trauma, potentially obscuring the interpretation of total 25OHD levels (102). Earlier studies with a monoclonal antibody to measure DBP levels suggested a decreased level in African Americans consistent with their lower total 25OHD levels, but these results were not confirmed using polyvalent antibody based assays (103). Vitamin D intoxication can increase the degree of saturation sufficiently to increase the free concentrations of 1,25(OH)2D and so cause hypercalcemia without necessarily raising the total concentrations (104).

 

The vitamin D metabolites bound to DBP are in general not available to most cells. Thus, the free or unbound concentration is that which is critical for cellular uptake as postulated by the free hormone hypothesis. Support for the concept that the role of DBP is to provide a reservoir for the vitamin D metabolites but that it is the free concentration that enters cells and exerts biologic function comes from studies in mice in which DBP has been deleted and in humans in which the gene is mutated. In DBP knockout mice the vitamin D metabolites are presumably all free and/or bioavailable. These mice do not show evidence of vitamin D deficiency unless placed on a vitamin D deficient diet despite having very low levels of serum 25OHD and 1,25(OH)2D (105). Tissue levels of 1,25(OH)2D were found to be normal in the DBPknockout mice as were markers of vitamin D action such as expression of intestinal TRPV6, calbindin 9k, PMCA1b, and renal TRPV5 (106). Recently a family in which a large deletion of the coding portion of the DBP gene (and adjacent NPFFR2 gene) has been reported (107). The proband had normal calcium, phosphate, and PTH levels with vitamin D supplementation despite very low levels of 25OHD, 24,25(OH)2D, and 1,25(OH)2D that were not responsive to massive doses of vitamin D (oral or parenteral). The free 25OHD was nearly normal. The carrier sibling had vitamin D metabolite levels between those of the proband and the normal sibling. Thus, both the studies in DBP null mice and humans support the free hormone hypothesis while also supporting the role of DBP as a circulating reservoir for the vitamin D metabolites. Therefore, there is currently a debate as to whether the free concentration of 25OHD, for example, is a better indicator of vitamin D nutritional status than total 25OHD, given that DBP levels, and hence total 25OHD levels, can be influenced by liver disease, nephrotic syndrome, pregnancy, acute trauma, and inflammatory states (108,109). However, certain tissues such as the kidney, placenta, and parathyroid gland express the megalin/cubilin complex which is able to transport vitamin D metabolites bound to DBP into the cell. This is critical for preventing renal losses of the vitamin metabolites (110) and may be important for vitamin D metabolite transport into the fetus and regulation of PTH secretion. Indeed, mice lacking the megalin/cubilin complex have poor survival with evidence of osteomalacia indicating its role in vitamin D transport into critical cells involved with vitamin D signaling.

Figure 3. Correlation of total 25OHD (A) and 1,25(OH)2D (C) levels to DBP; lack of correlation of free 25OHD (B) and 1,25(OH)2D (D) levels to DBP. Data from normal subjects (open triangles), subjects with liver disease (closed triangles, open circles), subjects on oral contraceptives (open triangles*), and pregnant women (open squares) are included. These data demonstrate the dependence of total 25OHD and 1,25(OH)2D concentrations on DBP levels which are reduced by liver disease. However, the free concentrations of 25OHD and 1,25(OH)2D are normal in most patients with liver disease. Reprinted with permission from the American Society for Clinical Investigation.

DBP was originally known as group specific component (Gc-globulin) before its properties as a vitamin D transport protein became known. It has three common polymorphisms which are useful in population genetics. These alleles have somewhat different affinities for the vitamin D metabolites (111), but which do not appear to alter its function. DBP is a 58kDa protein with 458 amino acids that is homologous to albumin and α-fetoprotein (αFP) (40% homology at the nucleotide level, 23% at the amino acid level) (112). These three genes cluster on chromosome 4q11-13 (113). DBP, like albumin and αFP, is made primarily but not exclusively in the liver-other sites include the kidney, testes, and fat.  DBP like other steroid hormone binding proteins is increased by oral (not transdermal) estrogens and pregnancy (98). In vitro, glucocorticoids and cytokines such as EGF, and IL-6 have been shown to increase whereas TGFb decreases DBP production (114).

 

Although transport of the vitamin D metabolites may be the major function for DBP, it has other properties. DBP has high affinity for actin, and may serve as a scavenger for actin released into the blood during cell death (115). DBP has also been shown to activate macrophages (116) and osteoclasts (117). However, in a mouse rendered deficient in DBP by homologous recombination (knock out) no obvious abnormality was observed except for increased turnover in vitamin D and increased susceptibility to osteomalacia on a vitamin D deficient diet (118). Evidence for osteopetrosis (indicating failure of osteoclast function) was not found.

 

MECHANISM OF ACTION

 

The hormonal form of vitamin D, 1,25(OH)2D, is the ligand for a transcription factor, the vitamin D receptor (VDR). Most if not all effects of 1,25(OH)2D are mediated by VDR acting primarily by regulating the expression of genes whose promoters contain specific DNA sequences known as vitamin D response elements (VDREs). There are thousands of VDREs throughout the genes, often thousands of base pairs away from the coding portion of the gene regulated.  However, some actions of 1,25(OH)2D are more immediate, and may be mediated by a membrane bound vitamin D receptor that has been less well characterized than the nuclear VDR. On the other hand, some actions of VDR do not require its ligand 1,25(OH)2D. Our understanding of the mechanism by which VDR regulates gene expression has increased enormously over the past few years.

 

VDR and Transcriptional Regulation

 

The VDR was discovered in 1969 (119) (although only as a binding protein for an as yet unknown vitamin D metabolite subsequently identified as 1,25(OH)2D), and was eventually cloned and sequenced in 1987 (120,121). Inactivating mutations in the VDR result in hereditary vitamin D resistant rickets (HVDRR) (122). Animal models in which the VDRhas been knocked out (123) (124) have the full phenotype of severe vitamin D deficiency indicating that the VDR is the major mediator of vitamin D action. The one major difference is the alopecia seen in HVDRR and VDR knockout animals, a feature not associated with vitamin D deficiency, suggesting that the VDR may have functions independent of 1,25(OH)2D at least in hair follicle cycling. The VDR is a member of a large family of proteins (over 150 members) that includes the receptors for the steroid hormones, thyroid hormone, vitamin A family of metabolites (retinoids), and a variety of cholesterol metabolites, bile acids, isoprenoids, fatty acids, and eicosanoids. A large number of family members have no known ligands and are called orphan receptors. VDR is widely, although not universally, distributed throughout the different tissues of the body (125). Many of these tissues were not originally considered target tissues for 1,25(OH)2D. The discovery of VDR in these tissues along with the demonstration that 1,25(OH)2D altered function of these tissues has markedly increased our appreciation of the protean effects of 1,25(OH)2D.

The VDR is a molecule of approximately 50-60kDa depending on species. The basic structure is shown in figure 4. The VDR is unusual in that it has a very short N-terminal domain before the DNA binding domain when compared to other nuclear hormone receptors. The human VDR has two potential start sites. A common polymorphism (Fok 1) alters the first ATG start site to ACG. Individuals with this polymorphism begin translation three codons downstream such that in these individuals the VDR is three amino acids shorter (424 aas vs 427 aas). This polymorphism has been correlated with reduced bone density suggesting it is of functional importance (126). The most conserved domain in VDR from different species and among the nuclear hormone receptors in general is the DNA binding domain. This domain is comprised of two zinc fingers. The name derives from the cysteines within this stretch of amino acids that form tetrahedral complexes with zinc in a manner which creates a loop or finger of amino acids with the zinc complex at its base. The proximal (N-terminal) zinc finger confers specificity for DNA binding to the VDREs while the second zinc finger and the region following provide at least one of the sites for heterodimerization of the VDR to the retinoid X receptor (RXR). The second half of the molecule is the ligand binding domain, the region responsible for binding 1,25(OH)2D, but also contains regions necessary for heterodimerization to RXR. At the C-terminal end is the major activation domain, AF-2, which is critical for the binding to coactivators such as those in the steroid receptor coactivator (SRC) and vitamin D receptor interacting protein (DRIP) or Mediator families (127). In mutation studies of the homologous thyroid receptor, corepressors were found to bind in overlapping regions with coactivators in helices 3 and 5, a region blocked by helix 12 (the terminal portion of the AF2 domain) in the presence of ligand (128). Deletion of helix 12 promoted corepressor binding while preventing that of coactivators (128).

Figure 4. Model of the vitamin D receptor (VDR). The N terminal region is short relative to other steroid hormone receptors. This region is followed by two zinc fingers which constitute the principal DNA binding domain. Nuclear localization signals (NLS) are found within and just C-terminal to the DNA binding domain. The ligand binding domain makes up the bulk of the C-terminal half of the molecule, with the AF2 domain comprising the most C-terminal region. The AF2 domain is largely responsible for binding to co-activators such as the SRC family and DRIP (Mediator) in the presence of ligand. Regions on the second zinc finger and within the ligand binding domain facilitate heterodimerization with RXR. Corepressor binding is less well characterized but appears to overlap that of coactivators in helices 3 and 5, a region blocked by helix 12 in the presence of ligand.

The ligand binding domain (LBD) for VDR has been crystallized and its structure solved (129). More recently the structure of the VDR/RXR heterodimer has been analyzed by high resolution cryo electron microscopy (130).  These studies show that the VDR has a high degree of structural homology to other nuclear hormone receptors. It is comprised of 12 helices joined primarily by beta sheets. The 1,25(OH)2D is buried deep in the ligand binding pocket and covered by helix 12 (the terminal portion of the AF-2 domain). Assuming analogy with the unliganded LBD of RXRα and the ligand bound LBD of RARγ (131), the binding of 1,25(OH)2D to the VDR triggers a substantial movement of helix 12 from an open position to a closed position, covering the ligand binding pocket and putting helix 12 in position with critical residues from helices 3, 4, and 5 to bind coactivators. Coactivator complexes bridge the gap from the VDRE to the transcription machinery at the transcription start site (figure 5) (132).

Figure 5. 1,25(OH)2D-initiated gene transcription. 1,25(OH)2D enters the target cell and binds to its receptor, VDR. The VDR then heterodimerizes with the retinoid X receptor (RXR). This increases the affinity of the VDR/RXR complex for the vitamin D response element (VDRE), a specific sequence of nucleotides in the promoter region of the vitamin D responsive gene. Binding of the VDR/RXR complex to the VDRE attracts a complex of proteins termed coactivators to the VDR/RXR complex. The DRIP (Mediator) coactivator complex spans the gap between the VDRE and RNA polymerase II and other proteins in the initiation complex centered at or around the TATA box (or other transcription regulatory elements). SRC coactivators recruit histone acetyl transferases (HAT) to the gene promoting the opening up of its structure to enable the transcription machinery to work. Transcription of the gene is initiated to produce the corresponding mRNA, which leaves the nucleus to be translated to the corresponding protein.

Nuclear hormone receptors including the VDR are further regulated by protein complexes that can be activators or repressors (133). The role of corepressors in VDR function has been demonstrated (134) but is less well studied than the role of coactivators. One such corepressor, hairless, is found in the skin and may regulate 1,25(OH)2D mediated epidermal proliferation and differentiation as well as ligand independent VDR regulation of hair follicle cycling (135-137). The coactivators, which are essential for VDR function, form two distinct complexes, the interaction of which remains unclear (127). The SRC family has three members, SRC 1-3, all of which can bind to the VDR in the presence of ligand (1,25(OH)2D) (138). These coactivators recruit additional coactivators such as CBP/p300 and p/CAF that have histone acetyl transferase activity (HAT), an enzyme that by acetylation of lysines within specific histones appears to help unravel the chromatin allowing the transcriptional machinery to do its job. The domain in these molecules critical for binding to the VDR and other nuclear hormone receptors is called the NR box and has as its central motif LxxLL where L stands for leucine and x for any amino acid. Each SRC family member contains three well conserved NR boxes in the region critical for nuclear hormone receptor binding. The Mediator (aka DRIP complex is comprised of 15 or so proteins several of which contain LxxLL motifs (139). However, Mediator 1 (aka DRIP205) is the protein critical for binding the complex to VDR. It contains 2 NR boxes. Different NR boxes in these coactivators show specificity for different nuclear hormone receptors (140). Unlike the SRC complex, the Mediator complex does not have HAT activity (127). Rather the Mediator complex spans the gene from the VDRE to the transcription start site linking directly with RNA polymerase II and its associated transcription factors. Mediator and SRC appear to compete for binding to the VDR. In keratinocytes Mediator binds preferentially to the VDR in undifferentiated cells, whereas SRC 2 and 3 bind in the more differentiated cells in which Mediator levels have declined (141). Thus, in these cells Mediator appears to regulate the early stages of 1,25(OH)2D induced differentiation, whereas SRC may be more important in the later stages, although overlap in gene specificity is also observed (142,143) (144). These coregulators are not specific for VDR but interact with a large number of other transcription factors. The Mediator complex can mark regions in the genome containing large numbers of sites for transcription factors including VDREs. These sites are known as super-enhancers often regulating genes involved with cell fate determination (145).  Recently, SMAD 3, a transcription factor in the TGF-β pathway, has been found to complex with the SRC family members and the VDR, enhancing the coactivation process (146). Phosphorylation of the VDR may also control VDR function (147). Furthermore, VDR has been shown to suppress β-catenin transcriptional activity (148), whereas β-catenin enhances that of VDR (149).  Thus, control of VDR activity may involve crosstalk between signaling pathways originating in receptors at the plasma membrane as well as within the nucleus.

 

VDR acts in concert with other nuclear hormone receptors, in particular RXR (150). Unlike VDR, there are three forms of RXR--α, β, γ--and all three are capable of binding to VDR with no obvious differences in terms of functional effect. RXR and VDR form heterodimers that optimize their affinity for the vitamin D response elements (VDREs) in the genes being regulated. RXR appears to be responsible for keeping VDR in the nucleus in the absence of ligand (151). VDR may also partner with other receptors including the thyroid receptor (TR) and the retinoic acid receptor (RAR) (152,153), but these are the exceptions, whereas RXR is the rule. The VDR/RXR heterodimers bind to VDREs, which typically are comprised of two half sites each with six nucleotides separated by three nucleotides of nonspecific type; this type of VDRE is known as a DR3 (direct repeats with three nucleotide spacing). RXR binds to the upstream half site, while VDR binds to the downstream site (154). However, a wide range of VDRE configurations have been found at nearly any location within a gene (5’, 3’, introns) (155).

 

Moreover, different tissues differ as to which VDREs actively bind VDR (156). 1,25(OH)2D is required for high affinity binding and activation, but the RXR ligand, 9-cis retinoic acid, may either inhibit (157) or activate (158) 1,25(OH)2D stimulation of gene transcription. A DR6 has been identified in the phospholipase C-γ1 gene that recognizes VDR/RAR heterodimers (152), and a DR4 has been found in the mouse calbindin 28k gene (159). Inverted palinodromes with 7 to 12 bases between half sites have also been found (149).  Furthermore, the half sites of the various known VDREs show remarkable degeneracy (figure 6). The G in the second position of each site appears to be the only nearly invariant nucleotide. 1,25(OH)2D can also inhibit gene transcription through its VDR. This may occur by direct binding of the VDR to negative VDREs that in the PTH and PTHrP genes are remarkably similar in sequence to positive VDREs of other genes (160,161). However, inhibition may also be indirect. For example, 1,25(OH)2D inhibits IL-2 production by blocking the NFATp/AP-1 complex of transcription factors from activating this gene (162) through a mechanism not yet clear. Thus, a variety of factors including the flanking sequences of the genes around the VDREs and tissue specific factors play a large role in dictating the ability of 1,25(OH)2D to regulate gene expression.

Figure 6. Known VDREs showing heterogeneity.

 Non-Genomic Actions

 

A variety of hormones that serve as ligands for nuclear hormone receptors also exert biologic effects that do not appear to require gene regulation and may work through membrane receptors rather than their cognate nuclear hormone receptors. Examples include estrogen (163), progesterone (164), testosterone (165), corticosteroids (166), and thyroid hormone (167). 1,25(OH)2D has also been shown to have rapid effects on selected cells that are not likely to involve gene regulation and that appear to be mediated by a different, probably membrane receptor. A model for such effects is shown in figure 7. Similar to other steroid hormones, 1,25(OH)2D has been shown to regulate calcium and chloride channel activity, protein kinase C activation and distribution, and phospholipase C activity in a number of cells including osteoblasts (168), liver (169), muscle (170), and intestine (171,172). These rapid effects of 1,25(OH)2D have been most extensively studied in the intestine. Norman's laboratory coined the term transcaltachia to describe the rapid onset of calcium flux across the intestine of a vitamin D replete chick perfused with 1,25(OH)2D (173). This increased flux could not be blocked with actinomycin D pretreatment (174), but was blocked by voltage gated L type channel inhibitors (175)and protein kinase C inhibitors (176). These animals had to be vitamin D replete and contain the VDR, indicating that the basic machinery for calcium transport was intact. On the other hand L type channel activators such as BAY K-8644 (177)and protein kinase C activators such as phorbol esters (175) could activate transcaltachia similar to 1,25(OH)2D.

Figure 7. Model for the non-genomic actions of 1,25(OH)2D. 1,25(OH)2D binds to a putative membrane receptor. This leads to activation of a G protein (GTP displacement of GDP and dissociation of the β and γ subunits from the now active α subunit). Gα -GTP activates phospholipase C (PLC) (β or γ) to hydrolyze phosphatidyl inositol bis phosphate (PIP2) to inositol tris phosphate (IP3) and diacyl glycerol (DG). IP3 releases calcium from intracellular stores via the IP3 receptor in the endoplasmic reticulum; DG activates protein kinase C (PKC). Both calcium and PKC may regulate the influx of calcium across the plasma membrane through various calcium channels including L-type calcium channels.

A putative membrane receptor for 1,25(OH)2D (1,25(OH)2D membrane associated rapid response steroid binding protein (1,25D-MARRSBP) also known as ERp57) has been purified from the intestine (178) and subsequently cloned and sequenced (179). Its size is approximately 66kDa. Antibodies have been made against this putative receptor (180). These antibodies block the ability of 1,25(OH)2D to stimulate calcium uptake by isolated chick intestinal cells (181) and to stimulate protein kinase C activity in resting zone chondrocytes while inhibiting proliferation of both resting zone and proliferating zone chondrocytes (180). Analog studies also support the existence of a separate membrane receptor for 1,25(OH)2D. Because of the breaking of the B ring during vitamin D3 production from 7-dehydrocholesterol, the A ring can assume a conformation similar to the parent cholesterol molecule (6-s-cis) (shown as previtamin D3 in figure 1) or the more commonly depicted 6-s-trans form in which the A ring rotates away from the rest of the molecule (shown as vitamin D3 in figure 1). Analogs of 1,25(OH)2D can be produced which favor the 6-s-cis conformation or the 6-s-trans conformation. 1,25(OH)2-d5-previtamin D3 is one such analog locked into the 6-s-cis conformation. This analog has only weak activity with respect to VDR binding or transcriptional activation but is fully effective in terms of stimulating transcaltachia and calcium uptake by osteosarcoma cells when compared to 1,25(OH)2D (182). 6-s-trans analogs are not effective. However, some of these rapid actions of 1,25(OH)2D are not found in cells from VDR null mice suggesting that the VDR may be required for the expression and/or function of the membrane receptor or be the membrane receptor. In other cells both 1,25D-MARRSBP and VDR appear to be required for these rapid effects of 1,25(OH)2D (183,184).

 

The model (figure 7) emerging from these studies is that 1,25(OH)2D interacts with a membrane receptor to activate phospholipase C possibly through a G protein coupled process. Phospholipase C then hydrolyzes phosphatidyl inositol bis phosphate (PIP2) in the membrane releasing inositol tris phosphate (IP3) and diacyl glycerol (DG). These second messengers may then activate both the intracellular release of calcium from intracellular stores via the IP3 receptor and protein kinase C, either one or both of which could stimulate calcium channel activity leading to a further rise in intracellular calcium levels. In the intestine and kidney the increased flux of calcium across the brush border membrane is then transported out of the cell at the basolateral membrane, completing transcellular transport. In other cells the increased calcium would need to be removed by other mechanisms after the signal conveyed by the rise in calcium is no longer required. Much work remains to prove this model including the physiological requirement for a unique membrane receptor.

 

TARGET TISSUE RESPONSES: CALCIUM REGULATING ORGANS

 

Intestine

 

Intestinal calcium absorption, in particular the active component of transcellular calcium absorption, is one of the oldest and best known actions of vitamin D having been first described in vitro by Schachter and Rosen (185) in 1959 and in vivo by Wasserman et al. (186) in 1961. Absorption of calcium from the luminal contents of the intestine involves both transcellular and paracellular pathways. The transcellular pathway dominates in the duodenum and cecum, and this is the pathway primarily regulated by 1,25 dihydroxyvitamin D (1,25(OH)2D) (187), although elements of the paracellular pathway such as the claudins 2 and 12 are likewise regulated by 1,25(OH)2D (reviews in (188, 189). Figure 8 shows a model of our current understanding of how this process is regulated by 1,25(OH)2D. Calcium entry across the brush border membrane (BBM) occurs down a steep electrical-chemical gradient and requires no input of energy. Removal of calcium at the basolateral membrane must work against this gradient, and energy is required. This is achieved by the CaATPase (PMCA1b), an enzyme induced by 1,25(OH)2D in the intestine. Calcium movement through the cell occurs with minimal elevation of the intracellular free calcium concentration (190) by packaging the calcium in calbindin containing vesicles (191-193) that form in the terminal web following 1,25(OH)2D administration.

Figure 8. Model of intestinal calcium transport. Calcium enters the microvillus of the intestinal epithelial cell through TRPV6 (previously known as CaT1) calcium channel. Within the microvillus calcium is bound to calmodulin (CaM) which is itself bound to brush border myosin I (BBMI) (aka myosin 1A). BBMI may facilitate the movement of the calcium/CaM complex into the terminal web where the calcium is picked up by calbindin (CaBP) and transported through the cytoplasm in endocytic vesicles. At the basolateral membrane the calcium is pumped out of the cell by the Ca-ATPase (PMCA1b). 1,25(OH)2D enhances intestinal calcium transport by inducing TRPV6, CaBP, and PMCAb as well as increasing the amount of CaM bound to BBMI in the brush border.

1,25(OH)2D regulates transcellular calcium transport using a combination of genomic and nongenomic actions. The first step, calcium entry across the BBM, is accompanied by changes in the lipid composition of the membrane including an increase in linoleic and arachidonic acid (194,195) and an increase in the phosphatidylcholine:phosphatidylethanolamine ratio (196). These changes are associated with increased membrane fluidity (195), which we have shown results in increased calcium flux (197). The changes in lipid composition occur within hours after 1,25(OH)2D administration and are not blocked by pretreatment with cycloheximide (196). In addition an epithelial specific calcium channel, TRPV6, is expressed in the intestinal epithelium (198). This channel has a high degree of homology to TRPV5, a channel originally identified in the kidney (199,200). The tissue distributions of these channels are overlapping and can be found in other tissues, but TRPV6 appears to be the main form in the intestine (201,202). TRPV6 mRNA levels in the intestine of vitamin D deficient mice are markedly increased by 1,25(OH)2D, although similar changes are not found in the kidney (203).  Mice null for TRPV6 have decreased intestinal calcium transport (204).

 

Calcium entering the brush border must then be moved into and through the cytoplasm without disrupting the function of the cell. Electron microscopic observations indicate that in the vitamin D deficient animal, calcium accumulates along the inner surface of the plasma membrane of the microvilli (205,206). Following vitamin D or 1,25(OH)2D administration calcium leaves the microvilli and subsequently can be found in mitochondria and vesicles within the terminal web (191,192,205,206). The vesicles appear to shuttle the calcium to the lateral membrane where it is pumped out of the cell by the basolateral CaATPase, PMCA1b. These morphologic observations have been confirmed by direct measurements of calcium using x-ray microanalysis that demonstrate equivalent amounts of calcium within the microvilli of D deficient and 1,25(OH)2D treated animals but much higher amounts of calcium in the mitochondria and vesicles of the 1,25(OH)2D treated animals (192,207). Such data suggest that 1,25(OH)2D controls calcium entry into the cell primarily by regulating its removal from the microvillus and accumulation by subcellular organelles in the terminal web, although flux through calcium channels in the membrane such as TRPV6 also plays a major role.

 

The ability of 1,25(OH)2D to stimulate calcium entry into and transport from the microvillus does not require new protein synthesis (191,196,208). Cycloheximide does not block the ability of 1,25(OH)2D to increase the capacity of brush border membrane vesicles (BBMV) to accumulate calcium, although it does block the increase in alkaline phosphatase in the same BBMV [193]. Likewise, cycloheximide does not block the increase in mitochondrial calcium following 1,25(OH)2D administration, although it blocks the rise in calbindin and prevents the normal vesicular transport of calcium through the cytosol (191,209). Thus, nongenomic actions underlie at least some of these first steps in 1,25(OH)2D stimulated intestinal calcium transport within the microvillus, although the changes take hours, not minutes, to observe. The exact role for these non-genomic effects on calcium influx relative to the role of TRPV6 remains to be elucidated.

 

Calmodulin is the major calcium binding protein in the microvillus (210). Its concentration in the microvillus is increased by 1,25(OH)2D; no new calmodulin synthesis is required or observed after 1,25(OH)2D administration (211). Calmodulin is likely to play a major role in calcium transport within the microvillus, and inhibitors of calmodulin block 1,25(OH)2D stimulated calcium uptake by BBMV (212). Within the microvillus calmodulin is bound to a 110kD protein, myosin 1A (myo1A)) (previously referred to as brush border myosin 1). 1,25(OH)2D increases the binding of calmodulin to myo1A in brush border membrane preparations (211), although binding of calmodulin to the myo1A attached to the actin core following detergent extraction of the membrane appears to be reduced (213). The calmodulin/myo1A complex appears late in the development of the brush border, and is found in highest concentration in the same cells of the villus which have the highest capacity for calcium transport (214). Myo1A is located primarily in the microvillus of the mature intestinal epithelial cell, although small amounts have been detected associated with vesicles in the terminal web (215). Thus, the calmodulin/myo1A complex may be responsible for moving calcium out of the microvillus. Its exact role in calcium transport is unclear in that mice null for myo1A do not show reduced intestinal calcium transport(216).  Calbindin is the dominant calcium binding protein in the cytoplasm (210,217), where it appears to play the major role in calcium transport from the terminal web to the basolateral membrane (188). The increase in calbindin levels in the cytosol following 1,25(OH)2D administration is blocked by protein synthesis inhibitors (208). Indeed, calbindin was the first protein discovered to be induced by vitamin D (217). Glenney and Glenney (210) observed that calbindin has a higher affinity for calcium than does calmodulin. The differential distribution of calmodulin and calbindin between microvillus and cytosol combined with the differences in affinity for calcium led Glenney and Glenney (210) to propose that in the course of calcium transport calcium flowed from calmodulin in the microvillus to calbindin in the cytosol with minimal change in the free calcium concentration in either location. However, the role of calbindin in intestinal calcium transport does not appear to be critical in that mice null for calbindin9k grow normally, have normal intestinal calcium transport, and their serum calcium levels and bone mineral content are equivalent to wildtype mice regardless of the calcium content of the diet (218). The CaATPase (PMCA1b) at the basolateral membrane and the sodium/calcium exchanger (NCX1) are responsible for removing calcium from the cell against the same steep electrochemical gradient as favored calcium entry at the brush border membrane (219). Related proteins are found in the renal distal tubule. As its name implies, the extrusion of calcium from the cell by the calcium pump requires ATP. This pump is a member of the PMCA family, and in the intestine the isoform PMCA1b is the major isoform found. This pump is induced by 1,25(OH)2D (220). Calmodulin activates the pump, but calbindin may do likewise (221). Deletion of Pmca1b reduces calcium absorption and blocks 1,25(OH)2D stimulation of such resulting in reduction in growth and bone mineralization (222)., Moreover, the deletion of protein 4.1R, which regulates PMCA1b expression in the intestine, results in decreased intestinal calcium transport (223). The role of NCX is not considered to be as important as PMCA1b for intestinal calcium transport (224).

 

The paracellular pathway has received less study, but accounts for the bulk of intestinal calcium transport in that the ileum accounts for around 80% of total calcium absorption essentially all by the paracellular pathway. Paracellular calcium absorption depends to a considerable extent on the gradient between the luminal calcium concentrations and the interstitial calcium concentrations. Thus, it is faster in the duodenum and upper jejunum than the ileum, but because the transit time in the ileum is so much longer than that of the upper GI tract, the ileum is where most of the calcium absorption takes place. Solvent drag plays a large part in moving calcium across the tight junctions between the epithelial cells (225) . Solvent flow follows the osmotic gradient which is maintained distal to the tight junction by the Na/K ATPase and sodium glucose cotransporter of the basolateral membrane which may be stimulated by 1,25(OH)2D (224,225). The tight junction itself provides both charge and size selectivity. The actomyosin ring around the tight junction contributes to the size selectivity (226). The claudins and occludins contribute to charge selectivity. Claudin 2, 12, 15 are negatively charged proteins enabling cations such as sodium and calcium to pass (227,228). 1,25(OH)2D stimulates the expression of claudins 2 and 12 (229). Prolactin stimulates claudin 15 expression, thought to contribute to the increased  calcium absorption during pregnancy (230).

 

Although less studied, intestinal phosphate transport is also under the control of vitamin D. This was first demonstrated by Harrison and Harrison (231) in 1961. Active phosphate transport is greatest in the jejunum, in contrast to active calcium transport that is greatest in the duodenum. Cycloheximide blocks 1,25(OH)2D stimulated phosphate transport (232), indicating that protein synthesis is involved. Phosphate transport at both the brush border and basolateral membranes requires sodium. A sodium-phosphate transporter in the small intestine (NaPi-IIb), homologous to the type IIa sodium phosphate transporter in kidney, has been cloned and sequenced (233). Expression of NaPi-IIb is increased by 1,25(OH)2D (234). Transport of phosphate through the cytosol from one membrane to the other is poorly understood. However, cytochalasin B, a disrupter of microfilaments, has been shown to disrupt this process (235) suggesting that as for calcium, intracellular phosphate transport occurs in vesicles.

 

Bone

 

Nutritional vitamin D deficiency, altered vitamin D responsiveness such as vitamin D receptor mutations (hereditary vitamin D resistant rickets), and deficient production of 1,25(OH)2D such as mutations in the CYP27B1 gene (pseudo vitamin D deficiency) all have rickets as their main phenotype. This would suggest that vitamin D, and in particular 1,25(OH)2D, is of critical importance to bone. Furthermore, VDR are found in bone cells (236,237), and vitamin D metabolites have been shown to regulate many processes in bone. However, the rickets resulting from vitamin D deficiency or VDR mutations (or knockouts) can be corrected by supplying adequate amounts of calcium and phosphate either by infusions or orally [214-217]. Moreover, deletion of VDR from osteoblasts does not result in rickets (238). This would suggest either that vitamin D metabolites do not directly impact bone or that substantial redundancy has been built into the system. However, arguing for a physiologically non redundant direct action of vitamin D on bone is the development of osteoporosis and decreased bone formation in these VDR or CYP27B1 null mice not corrected by the high calcium/phosphate diet (239). A further complicating factor in determining the role of vitamin D metabolites in bone is the multitude of effects these metabolites have on systemic calcium homeostatic mechanisms which themselves impact on bone. The lack of vitamin D results in hypocalcemia and hypophosphatemia that as implied above is sufficient to cause rickets. Moreover, part of the skeletal phenotype in vitamin D deficiency is also due to the hyperparathyroidism that develops in the vitamin D deficient state as PTH has its own actions on bone and cartilage. Furthermore, within bone the vitamin D metabolites can alter the expression and/or secretion of a large number of skeletally derived factors including insulin like growth factor-1 (IGF-I) (240), its receptor (241), and binding proteins (242,243), transforming growth factor β (TGFβ) (244), vascular endothelial growth factor (VEGF) (245), interleukin-6 (IL-6) (246), IL-4 (247), and endothelin receptors (248) all of which can exert effects on bone on their own as well as modulate the actions of the vitamin D metabolites on bone. Understanding the impact of vitamin D metabolites on bone is additionally complicated by species differences, differences in responsiveness of bone and cartilage cells according to their states of differentiation, and differences in responsiveness in terms of the vitamin D metabolite being examined. Thus, the study of vitamin D on bone has had a complex history, and uncertainty remains as to how critical the direct actions of the vitamin D metabolites on bone are for bone formation and resorption.

 

Bone develops intramembranously (e.g. skull) or from cartilage (endochondral bone formation, e.g. long bones with growth plates). Intramembranous bone formation occurs when osteoprogenitor cells proliferate and produce osteoid, a type I collagen rich matrix. The osteoprogenitor cells differentiate into osteoblasts which then deposit calcium phosphate crystals into the matrix to produce woven bone. This bone is remodeled into mature lamellar bone. Endochondral bone formation is initiated by the differentiation of mesenchymal stem cells into chondroblasts that produce the proteoglycan rich type II collagen matrix. These cells continue to differentiate into hypertrophic chondrocytes that shift from making type II collagen to producing type X collagen. These cells also initiate the degradation and calcification of the matrix by secreting matrix vesicles filled with degradative enzymes such as metalloproteinases and phospholipases, alkaline phosphatase (thought to be critical for the mineralization process), and calcium phosphate crystals. Vascular invasion and osteoclastic resorption are stimulated by the production of VEGF and other chemotactic factors from the degraded matrix. The hypertrophic chondrocytes also begin to produce markers of osteoblasts such as osteocalcin, osteopontin, and type I collagen resulting in the initial deposition of osteoid. Moreover, at least some of these chondrocytes further differentiate (or trans differentiate) into osteoblasts (249). Terminal differentiation of the hypertrophic chondrocytes and the subsequent calcification of the matrix are markedly impaired in vitamin D deficiency leading to the flaring of the ends of the long bones and the rachitic rosary along the costochondral junctions of the ribs, classic features of rickets. Although supply of adequate amounts of calcium and phosphate may correct most of these defects in terminal differentiation and calcification, the vitamin D metabolites, 1,25(OH)2D and 24,25(OH)2D, have been shown to exert distinct roles in the process of endochondral bone formation.

 

The VDR makes its first appearance in the fetal rat at day 13 of gestation in the condensing mesenchyme of the vertebral column then subsequently in osteoblasts and the proliferating and hypertrophic chondrocytes by day 17 (250). However, fetal development is quite normal in vitamin D deficient rats (251) and VDR knockout mice (124) suggesting that vitamin D and the VDR are not critical for skeletal formation. Rickets develops postnatally, becoming most manifest after weaning. The impairment of endochondral bone formation observed in vitamin D deficiency is associated with decreased alkaline phosphatase activity of the hypertrophic chondrocytes (252), alterations in the lipid composition of the matrix (253) perhaps secondary to reduced phospholipase activity (254), and altered proteoglycan degradation (255)due to changes in metalloproteinase activity (255,256). Both 1,25(OH)2D and 24,25(OH)2D appear to be required for optimal endochondral bone formation (257). However, in the CYP24A1 knockout mouse, that fails to produce any 24-hydroxylated metabolites of vitamin D, the skeletal lesion is defective mineralization of intramembranous (not endochondral) bone. Furthermore, the skeletal abnormality appears to be due to high circulating 1,25(OH)2D levels in that crossing this mouse with one lacking the VDR corrects the problem (83). Whether this reflects species differences between mice and other species (most studies demonstrating the role of 24,25(OH)2D in bone and cartilage have used rats and chicks) remains unknown. Chondrocytes from the resting zone of the growth plate of rats tend to be more responsive to 24,25(OH)2D than 1,25(OH)2D, whereas the reverse is true for chondrocytes from the growth zone with respect to stimulation of alkaline phosphatase activity (258), regulation of phospholipase A2 (stimulation by 1,25(OH)2D, inhibition by 24,25(OH)2D) (259), changes in membrane fluidity (increased by 1,25(OH)2D, decreased by 24,25(OH)2D) (260), and stimulation of protein kinase C activity (261). These actions of 1,25(OH)2D and 24,25(OH)2D do not require the VDR and are non-genomic in that they take place with isolated matrix vesicles and membrane preparations from these cells (258). As discussed earlier membrane receptors for these vitamin D metabolites have been found in chondrocytes that may mediate these non-genomic actions (262). Osteoblasts also differ in their response to 1,25(OH)2D depending on their degree of maturation (263). In the latter stages of differentiation, rat osteoblasts respond to 1,25(OH)2D with an increase in osteocalcin production (264), but do not respond to 1,25(OH)2D in the early stages. Mice, however, differ from rats in that 1,25(OH)2D inhibits osteocalcin expression (264). Similarly, the effects of 1,25(OH)2D on alkaline phosphatase (265) and type I collagen (266) are inhibitory in the early stages of osteoblast differentiation but stimulatory in the latter stages (263). Osteopontin is better stimulated by 1,25(OH)2D in the early stages than the late stages of differentiation (263,267). Osteocalcin and osteopontin in human and rat cells have well described VDREs in their promoters (268-270) (the mouse does not) (271). However, alkaline phosphatase and the COL1A1 and COL1A2 genes producing type I collagen do not have clearly defined VDREs, so it remains unclear how these genes are regulated by 1,25(OH)2D. These maturation dependent effects of 1,25(OH)2D on bone cell function may explain the surprising ability of excess 1,25(OH)2D to block mineralization leading to hyperosteoidosis (272,273) as such doses may prevent the normal maturation of osteoblasts.

 

In addition to its role in promoting bone formation, 1,25(OH)2D also promotes bone resorption by increasing the number and activity of osteoclasts (274). Whether mature osteoclasts contain the VDR and are regulated directly by 1,25(OH)2D remains controversial (275,276), but the VDR in osteoclast precursors is not required for osteoclastogenesis. Rather, the stimulation of osteoclastogenesis by 1,25(OH)2D is mediated by osteoblasts and osteocytes. Rodan and Martin (277)originally proposed the hypothesis that osteoblasts were required for osteoclastogenesis, and the mechanism has now been elucidated (278). Osteoblasts and osteocytes produce a membrane associated protein known as RANKL (receptor activator of nuclear factor (NF)-kB ligand) that activates RANK on osteoclasts and their hematopoietic precursors. This cell to cell contact in combination with m-CSF also produced by osteoblasts stimulates the differentiation of precursors to osteoclasts and promotes their activity. 1,25(OH)2D regulates this process by inducing RANKL (279) as does PTH, PGE2, and IL-11, all of which stimulate osteoclastogenesis. 1,25(OH)2D requires the VDR in osteoblasts for this purpose, although the other hormones and cytokines do not. Osteoblasts from VDR knockout mice fail to support 1,25(OH)2D induced osteoclastogenesis, whereas osteoclast precursors from VDR knockout mice can be induced by 1,25(OH)2D to form osteoclasts in the presence of osteoblasts from wildtype animals (280).

 

Kidney

 

The regulation of calcium and phosphate transport by vitamin D metabolites in the kidney has received less study than that in the intestine, but the two tissues have similar although not identical mechanisms. Eight grams of calcium are filtered by the glomerulus each day, and 98% of that is reabsorbed. Most is reabsorbed in the proximal tubule. This is a paracellular, sodium dependent process with little or no regulation by PTH and 1,25(OH)2D. Approximately 20% of calcium is reabsorbed in the thick ascending limb of the loop of Henle, 10-15% in the distal tubule, and 5% in the collecting duct (281). Regulation by vitamin D takes place in the distal tubule where calcium moves against an electrochemical gradient (presumably transcellular) in a sodium independent fashion (282). Phosphate, on the other hand, is approximately 80% reabsorbed in the proximal tubule, and this process is regulated primarily by PTH (283) and FGF23 (284). In parathyroidectomized (PTX) animals Puschett et al. (285-287)) demonstrated acute effects of 25OHD and 1,25(OH)2D on calcium and phosphate reabsorption. Subsequent  studies indicated that PTH could enhance or was required for the stimulation of calcium and phosphate reabsorption by vitamin D metabolites (288,289).

 

The molecules critical for calcium reabsorption in the distal tubule appear to be the VDR, calbindin, TRPV5, and the BLM calcium pump (PMCA1b as in the intestine), a situation similar to the mechanism for calcium transport in the intestine. However, the calbindin in the kidney in most species is 28kDa, whereas the 9kDa form is found in the intestine in most species. The kidney has mostly TRPV5, whereas the intestine is primarily TRPV6. The calcium pump is the same isoform in both tissues (PMCA1b) although other forms of PMCA are also present. Calmodulin and a brush border myosin I like protein are also found in the kidney brush border, but their role in renal calcium transport has not been explored. VDR, calbindin, TRPV5, and PMCA1b colocalize in the distal tubule, but not all distal tubules contain this collection of proteins (199,200,290,291) suggesting that not all distal tubules are involved in calcium transport. 1,25(OH)2D upregulates the VDR (232), an action opposed by PTH (235). Calbindin is also induced by 1,25(OH)2D in the kidney(292,293). The activity of the calcium pump is increased by 1,25(OH)2D (294), but it is not clear that the protein itself is induced. The increased activity may be due to the induction of calbindin that increases its activity. The effect of 1,25(OH)2D on TRPV5 expression is stimulatory (203).

 

Phosphate reabsorption in the proximal tubule is mediated at the brush border by sodium dependent phosphate transporters (NaPi-2a and NaPi-2c) that rely on the baso-lateral membrane Na,K ATPase to maintain the sodium gradient that drives the transport process (295). It is not clear whether 1,25(OH)2D regulates the expression or activities of these transporters as it does in the intestine, although PTH clearly does. Like PTH, FGF23 blocks phosphate reabsorption, presumably by blocking NaPi-2a activity. Unlike PTH, FGF23 also blocks the renal production of 1,25(OH)2D, as discussed earlier.  The link between phosphate reabsorption and 1,25(OH)2D production remains unclear.

 

TARGET TISSUE RESPONSES: NON-CALCIUM TRANSPORTING TISSUES

 

In addition to its effects on tissues directly responsible for calcium homeostasis, 1,25(OH)2D regulates the function of a wide number of other tissues. These all contain the VDR. Regulation of differentiation and proliferation is one common theme; regulation of hormone secretion is another; regulation of immune function is the third. In most cases 1,25(OH)2D acts in conjunction with calcium. Selected examples follow.

 

Regulation of Hormone Secretion

 

PARATHYROID GLAND (PTH SECRETION)

 

As previously mentioned, PTH stimulates the production of 1,25(OH)2D. In turn 1,25(OH)2D inhibits the production of PTH (296,297). The regulation occurs at the transcriptional level. Within the promoter of the PTH gene is a region that binds the VDR and mediates the suppression of the PTH promoter by 1,25(OH)2D (160,292,298-302). However, there is substantial controversy about whether this site is a single half site (298) or a more classic DR3 (291), whether one VDRE is involved or two (299), whether only VDR binds (298,302), whether VDR/RXR heterodimers bind (160,299), or whether VDR partners with a different protein (300). Some of the differences may reflect different species, but the nature of PTH gene suppression by 1,25(OH)2D remains incompletely understood. Calcium alters the ability of 1,25(OH)2D to regulate PTH gene expression. Calcium is a potent inhibitor of PTH production and secretion, acting through the calcium sensing receptor (CaSR) on the plasma membrane of the parathyroid cell. 1,25(OH)2D induces the CaSR in the parathyroid gland making it more sensitive to calcium (303). Animals placed on a low calcium diet have an increase in PTH and 1,25(OH)2D levels indicating that the low calcium overrides the inhibition by 1,25(OH)2D on PTH secretion (304,305). One possible explanation involves the protein calreticulin that binds to nuclear hormone receptors including VDR at KXGFFKR sequences, and inhibits their activity (306,307). Low dietary calcium has been shown to increase calreticulin levels in the parathyroid gland (308). The ability of 1,25(OH)2D to inhibit PTH production and secretion has been exploited clinically in that 1,25(OH)2D and several of its analogs are used to prevent and/or treat secondary hyperparathyroidism associated with renal failure. The parathyroid gland also expresses CYP27B1 and so can produce its own 1,25(OH)2D that may act in an autocrine or paracrine fashion to regulate PTH production (309). As noted earlier, the parathyroid gland is one of several tissues expressing the megalin/cubilin complex potentially enabling it to take up 25OHD and other D metabolites still bound to DBP.

 

PANCREATIC BETA-CELLS (INSULIN SECRETION)

 

1,25(OH)2D stimulates insulin secretion, although the mechanism is not well defined (310,311). VDR, CYP27B1, and calbindin-D28k are found in pancreatic beta cells (312-314) and  studies using calbindin-D28k null mice have suggested that calbindin-D28k, by regulating intracellular calcium, can modulate depolarization-stimulated insulin release (315). Furthermore, calbindin-D28k, by buffering calcium, can protect against cytokine mediated destruction of beta cells (316).  A number of mostly case control and observational studies have suggested that vitamin D deficiency contributes to increased risk for type 2 diabetes mellitus (317). Moreover, several randomized clinical trials evaluating the ability of vitamin D supplementation to prevent the progression of prediabetes to diabetes indicate that vitamin D has a modest protective effect especially in vitamin D deficient subjects. (318,319).

 

FIBROBLAST GROWTH FACTOR (FGF23)

 

 FGF23 is produced primarily by bone, and, in particular, by osteoblasts and osteocytes. 1,25(OH)2D3 stimulates this process, but the mechanism is not clear (320). Inasmuch as FGF23 inhibits 1,25(OH)2D production by the kidney, this feedback loop like that for PTH secretion maintains a balance in the levels of these important hormones. Mutations in the Phosphate regulating gene with Homologies to Endopeptidases on the X chromosome (PHEX) or FGF23 itself (which prevents its proteolysis) or conditions such as McCune-Albright disease and tumor induced osteomalacia in which FGF23 is overexpressed in the involved tissue lead to hypophosphatemia and inappropriately low 1,25(OH)2Daccompanied by osteomalacia. The role of PHEX, which was originally thought to cleave FGF23, in regulating FGF23 levels is not clear.  In contrast mutations in UDP-N-acetyl-α-D galactosamine:polypeptide N-acetylgalactosaminyltransferase (GALNT3), which glycosylates FGF23, or in FGF23 which blocks this glycosylation result in inhibited FGF23 secretion leading to hyperphosphatemia, increased 1,25(OH)2D, and tumoral calcinosis (321).

 

Regulation of Proliferation and Differentiation

 

CANCER

 

1,25(OH)2D has been evaluated for its potential anticancer activity in animal and cell studies for nearly 40 years (322). The list of malignant cells that express VDR is now quite extensive, and the list of those same cells that express CYP27B1 is growing. The accepted basis for the promise of 1,25(OH)2D in the prevention and treatment of malignancy includes its antiproliferative, pro-differentiating effects on most cell types. The list of mechanisms proposed for these actions is extensive, and to some extent cell specific (323). Among these mechanisms 1,25(OH)2D has been shown to stimulate the expression of cell cycle inhibitors p21 and p27 (324) and the expression of the cell adhesion molecule E-cadherin (148), while inhibiting the transcriptional activity of β-catenin (148,325,326). In keratinocytes, 1,25(OH)2D has been shown to promote the repair of DNA damage induced by ultraviolet radiation (UVR) (327) (328), reduce apoptosis while increasing survival after UVR (329), and increase p53 (330).  Epidemiologic evidence supporting the importance of adequate vitamin D nutrition (including sunlight exposure) for the prevention of a number of cancers (331-335) is extensive. Although numerous types of cancers show reduction (336), most attention has been paid to cancers of the breast, colon, and prostate. I (337) recently reviewed a number of meta-analyses of epidemiologic studies evaluating the association of vitamin D intake and/or 25OHD levels and the risk of developing these cancers. The data supporting a reduction in risk for developing colorectal cancer and breast cancer in premenopausal females with higher vitamin D intake or higher serum 25OHD levels were considerably stronger than that for the prevention of prostate cancer. Prospective randomized controlled trial data have not consistently supported a role for vitamin D supplementation in preventing cancer at least in vitamin D replete subjects. In a prospective 4 yr trial with 1100iu vitamin D and 1400-1500 mg calcium originally designed to look at osteoporosis the authors showed a 77% reduction in cancers after excluding the initial year of study (338), including a reduction in both breast and colon cancers. In this study, vitamin D supplementation raised the 25OHD levels from a mean of 28.8ng/ml to 38.4ng/ml with no changes in the placebo or calcium only arms of the study. However, this was a relatively small study in which cancer prevention was not the primary outcome variable. A substantially larger trial involving over 25,000 subjects treated in a two by two design with vitamin D and/or omega 3 fatty acid did not find a benefit of vitamin supplementation with respect to cancer incidence but appears to have shown a beneficial effect on mortality (339). Trials of 1,25(OH)2D and its analogs for the treatment of cancer have been disappointing. In a small study involving 7 subjects with prostate cancer treated with doses of 1,25(OH)2D up to 2.5µg for 6-15 months, 6/7 showed a decrease in the rise of prostate specific antigen (PSA), a marker of tumor progression (340), and one patient showed a decline. However, hypercalciuria was common and limiting. A preliminary report of a larger study involving 250 patients with prostate cancer using 45µg 1,25(OH)2D  weekly in combination with docetaxel demonstrated a non-significant decline in PSA, although survival was significantly improved (HR 0.67) (341). A larger follow-up study did not show increased survival (342). The incidence of either hypercalcemia or hypercalciuria was not reported. Most likely until an analog of 1,25(OH)2D is developed which is both efficacious and truly non hypercalcemic, treatment of cancer with vitamin D metabolites will remain problematic.

 

SKIN

 

Epidermal keratinocytes are the only cells in the body with the entire vitamin D metabolic pathway. As described earlier, production of vitamin D3 from 7-dehydrocholesterol takes place in the epidermis. However, the epidermis also contains CYP27A1 (343), the mitochondrial enzyme that 25-hydroxylates vitamin D, and CYP27B1 (40,47), the enzyme that produces 1,25(OH)2D from 25OHD. The CYP27B1 in keratinocytes is differently regulated than CYP27B1 in renal cells. Although PTH stimulates CYP27B1 activity in the keratinocyte, the mechanism appears to be independent of cAMP (344). Cytokines such as tumor necrosis factor-α and interferon-γ stimulate CYP27B1 activity (345,346). 1,25(OH)2D does not exert a direct effect on CYP27B1 expression in keratinocytes, but regulates 1,25(OH)2D levels by inducing CYP24A1 thus initiating the catabolism of 1,25(OH)2D (78). CYP27B1 is expressed primarily in the basal cells of the epidermis (50); as the cells differentiate the mRNA and protein levels of CYP27B1and its activity decline (347).

 

1,25(OH)2D regulates keratinocyte differentiation in part by modulating the ability of calcium to do likewise (348). Therefore, it is important to understand the actions of calcium on this cell prior to examining the influence of 1,25(OH)2D (349-355). If keratinocytes are grown at calcium concentrations below 0.07mM, they continue to proliferate but either fail or are slow to develop intercellular contacts, stratify little if at all, and fail or are slow to form cornified envelopes. Acutely increasing the extracellular calcium concentration (Cao) above 0.1mM (calcium switch) leads to the rapid redistribution of desmoplakin, cadherins, integrins, catenins, plakoglobulin, vinculin, and actinin from the cytosol to the membrane where they participate in the formation of intercellular contacts. Calcium also stimulates the redistribution to the membrane of protein kinase Cα (PKCα) (356,357) and the tyrosine-phosphorylated p62 associated protein of ras GAP (358,359)where they further the calcium signaling process. These early events are accompanied by a rearrangement of actin filaments from a perinuclear to a radial pattern which if disrupted blocks the redistribution of these proteins and blocks the differentiation process. Within hours of the calcium switch keratinocytes switch from making the basal keratins K5 and K14 and begin making keratins K1 and K10 (354) followed, subsequently, by increased levels of profilaggrin (the precursor of filaggrin, an intermediate filament associated protein), involucrin, and loricrin (precursors for the cornified envelope) (360,361). Loricrin, involucrin, and other proteins (362) are cross linked into the insoluble cornified envelope by the calcium sensitive, membrane bound form of transglutaminase (363,364), which like involucrin and loricrin increases within 24 hours after the calcium switch (365). Within 1-2 days of the calcium switch cornified envelope formation is apparent (353,366), paralleling transglutaminase activation (367). The induction of these proteins represents a genomic action (likely indirect) of calcium as indicated by a calcium induced increase in mRNA levels and transcription rates (354,361,367,368). The relevance of calcium induced differentiation in vitro to the in vivo situation is indicated by the steep gradient of calcium within the epidermis, with the highest levels in the uppermost (most differentiated) nucleated layers (369). Current evidence for the importance of calcium in epidermal function is that barrier disruption, which results in increased proliferation, is associated with loss of the calcium gradient, whereas increasing the calcium concentration in the epidermis with sonophoresis stimulates lamellar body secretion important for restoration of the barrier (370-374).

 

The keratinocyte senses calcium via a seven transmembrane domain, G protein coupled receptor (CaSR) (375)originally cloned from the parathyroid cell by Brown et al (376,377). Knocking out the Casr blocks calcium induced differentiation in vitro (378,379) and in vivo (380). However, keratinocytes also produce an alternatively spliced variant of the Casr as they differentiate (381). This variant CaSR lacks exon 5 and so would be missing residues 461-537 in the extracellular domain. A mouse model in which the full length Casr has been knocked out continues to produce the alternatively spliced form of Casr, but its epidermis contains lower levels of the terminal differentiation markers loricrin and profilaggrin, and keratinocytes from these mice fail to respond normally to calcium (381) consistent with the results when the full length calcium receptor was deleted in vitro (378,379). We have produced a conditional knockout of the Casr allowing us to delete Casr in the tissue of choice using cell specific cre recombinases that avoids the problem with the original global knockout (382). When the Casr is deleted specifically in the keratinocyte, this mouse has a reduction in epidermal differentiation and barrier repair (380), but unlike the global knockout does not have abnormalities in overall calcium homeostasis, and rather than showing an increased calcium gradient in the epidermis has a blunted one. The conditional knockout mouse also lacks the alternatively spliced CaSR.

Inositol 1,4,5 tris phosphate (IP3) and diacylglycerol levels increase within seconds to minutes after the calcium switch implicating activation of the phospholipase C (PLC) pathway (383,384). Similar to intracellular calcium levels (Cai), the levels of inositol phosphates (IPs) remain elevated for hours after the calcium switch. The prolonged increase in IPs after the calcium switch may contribute to the plateau phase of Cai elevation and a prolonged elevation of diacylglyerol (DG) that would stimulate the protein kinase C (PKC) pathway. This prolonged increase in IPs appears to be due to calcium induction and activation of PLC (152,384,385), especially PLC-γ1.  Activation of PLC-γ1 by calcium involves a chain of events involving src kinase activation of phosphatidyl inositol 3 kinase and phosphatidyl inositol 4 phosphate 5  kinase 1 within the context of a membrane complex with E-cadherin leading to the formation of phosphatidyl inositol tris phosphate in the membrane which activates PLC-γ1 via its PH domain (386).  Phosphorylation of PLC-γ1 is not part of its activation by calcium unlike its activation by EGF (387). Knocking out Plcg1 blocks the ability of calcium to increase Cai and to induce involucrin and transglutaminase (385). Thus, like CaSR, PLC-γ1 is critical for the ability of calcium to regulate keratinocyte differentiation.

 

Phorbol esters, which bind to and activate PKC, are well known tumor promoters in skin However, the initial effects of phorbol esters in vitro are to promote differentiation in cells grown in low calcium (356,388,389), effects which are potentiated by calcium (381). Phorbol esters stimulate PKC, and PKC inhibitors block the ability of both calcium and phorbol esters to promote differentiation (389). Phorbol esters as well as calcium stimulate the expression of both keratin 1 and involucrin gene constructs each of which contains an AP-1 site within the calcium response element (CaRE) of the promoter for these genes (390,391). If the AP-1 site within the CaRE is mutated, neither calcium nor phorbol esters are effective (390,391). These CaREs also contain VDREs (DR3), which at least in the involucrin gene has been shown to mediate 1,25(OH)2D regulation of this gene (392). Phorbol esters do not reproduce all the actions of calcium on the keratinocyte, and vice versa, but cross talk between their signaling pathways is clearly present.

 

The observation that 1,25(OH)2D induces keratinocyte differentiation was first made by Hosomi et al. (393) and provided a rationale for the previous and unexpected finding of 1,25(OH)2D receptors in the epidermis (394). 1,25(OH)2D increases the mRNA and protein levels for involucrin and transglutaminase, and promotes CE formation at subnanomolar concentrations in preconfluent keratinocytes (368,395-397). Calcium affects the ability of 1,25(OH)2D to stimulate keratinocyte differentiation, and vice versa. Calcium in the absence of 1,25(OH)2D and 1,25(OH)2D at low (0.03mM) calcium raise the mRNA levels for involucrin and transglutaminase in a dose dependent fashion by stimulating gene expression. The stimulation of mRNA levels by calcium and 1,25(OH)2D is synergistic at early time points; however, longer periods of incubation lead to a paradoxical fall in the mRNA levels for these proteins. This is due to the fact that although transcription is increased by calcium and 1,25(OH)2D, stability of the mRNA is reduced in cells incubated with calcium and 1,25(OH)2D.

 

The transcriptional regulation by 1,25(OH)2D is both direct and indirect. Several genes contain VDREs (e.g. involucrin), but VDREs have not been found in all genes that are regulated by 1,25(OH)2D. Inhibition of PKC activity or mutation of the AP-1 site in the CaRE of the involucrin gene also blocks the ability of 1,25(OH)2D to regulate expression of involucrin (392). The ability of 1,25(OH)2D to increase intracellular calcium (Cai) (298) accounts for at least part of the ability of 1,25(OH)2D to induce differentiation. A rapid (presumably nongenomic) effect of 1,25(OH)2D on Cai has been described (398), although this response is controversial (396). Our studies indicate that the ability of 1,25(OH)2D to increase Cai requires time and gene transcription. 1,25(OH)2D increases CaSR mRNA levels and prevents their fall in cells grown in 0.03mM calcium (399). This results in an enhanced Cai response to extracellular calcium (Cao). 1,25(OH)2D also induces the family of PLCs (400). PLC-γ1 contains a VDRE in its promoter (152), which unlike the usual VDRE is a DR6 which binds VDR/RAR rather than VDR/RXR. Knocking out PLCG1 blocks 1,25(OH)2D induced differentiation (401) as well as calcium induced differentiation mentioned earlier. The other PLCs have not been studied as extensively but are likely to show similar means of regulation by 1,25(OH)2D.

 

Our current working model for the mechanisms by which calcium and 1,25(OH)2D regulate keratinocyte differentiation is shown in figure 9. The keratinocyte expresses a CaSR that by coupling to and activating PLC controls the production of two important second messengers, IP3 and DG. PLC-β is likely to be activated acutely by CaSR via a G protein coupled mechanism, whereas PLC-γ1 is activated acutely by calcium stimulated non receptor tyrosine kinases and subsequently by PIP3 in the membrane. Both PLCs are induced by calcium and 1,25(OH)2D. IP3 stimulates the release of calcium from intracellular stores thus raising Cai. The initial release of calcium from these stores activates the Stim1/Orai1 channel in the membrane (402) that may stimulate proliferation of the basal keratinocytes and initiate their movement out of the basal layer. The increase in Cai and DG stimulates the activation of critical PKCs and their translocation to membrane receptors (RACK). PKC-α appears to be the most critical PKC for the subsequent events triggered by calcium in the keratinocyte, although PKCδ has also been implicated.  Activated PKC leads to the induction and activation of AP-1 transcription factors which regulate the transcription of a number of genes including keratin 1, transglutaminase, involucrin, loricrin, and profilaggrin required for the differentiation process. Activation of the CaSR also activates the RhoA kinase leading to activation of src kinases which by phosphorylating various catenins leads to the formation of the Ecadherin/catenin complex in the membrane (403). This complex recruits both PI3K and PIP5K1α required to maintain the PIP2 and PIP3 levels in the membrane (355). PIP3 activates PLC-γ, that is in turn activates the TRPC channels in the membrane to enable the prolonged increase in Cai required for differentiation (404). 1,25(OH)2D, which is produced by the keratinocyte in a highly regulated fashion, modulates calcium regulated differentiation at several steps. First, 1,25(OH)2D increases CaSR expression, thus making the cell more responsive to calcium. Secondly, 1,25(OH)2D induces all the PLCs again increasing the responsiveness of the cell to calcium. Finally, 1,25(OH)2D has a direct effect on the transcription of the genes such as involucrin. The net result is that both calcium and 1,25(OH)2D promote keratinocyte differentiation through interactive mechanisms.

Figure 9. A model of 1,25(OH)2D and calcium regulated keratinocyte differentiation. The G-protein coupled calcium receptor (CaSR) when activated by extracellular calcium activates Gα as described in the legend to figure 7. Gα stimulates PLC mediated hydrolysis of PIP2 to IP3 and DG. IP3 releases Cai from intracellular stores, and DG activates PKC. Depletion of intracellular calcium stores leads to influx of calcium across store operated calcium channels. PKC stimulation leads to activation of AP-1 transcription factors which along with calcium and 1,25(OH)2D activated transcription factors stimulate the expression of genes essential for the differentiation process. 1,25(OH)2D regulates this process by inducing CaSR and PLC as well as genes essential for cornified envelope formation such as involucrin and transglutaminase.

The VDR is also critical for hair follicle (HF) cycling. Unlike epidermal differentiation, hair follicle cycling is not dependent on 1,25(OH)2D. Alopecia is a well described characteristic of mice and humans lacking VDR (123,124,405) due to failure to regenerate the cycling lower portion of the HF after the initial developmental cycle is completed. Deletion of CYP27B1(406) and CaSR (380) do not result in alopecia. Cianferotti et al. (407) attributed the loss of HF cycling in VDR null mice to a gradual loss of the proliferative potential in the stem cells of the HF bulge region. However, this conclusion has been challenged by Palmer et al. (408), who attributed the failure of HF cycling in the VDR null mouse in part to a failure of the progeny of these stem cells to migrate out of the bulge rather than their loss of proliferative potential suggesting a loss of activation. The role of VDR in the stem cells that regulate both HF cycling and epidermal regeneration is also important in the skin wound healing process. When the skin is wounded the progeny of stem cells from all regions of the HF and interfollicular epidermis (IFE) contribute at least initially (409,410), although the stem cells in the IFE make the most lasting contribution. Tian et al. (411) observed that topical 1,25(OH)2D enhanced wound healing, an observation that we have confirmed. Tay et al (412) in human skin showed that 1,25(OH)2D via the VDR promoted re-epithelialization by stimulating keratinocyte migration but reduced the fibroblast response during wound healing. On the other hand Luderer et al. (413) observed that in the global VDRKO, there was a reduction in TGFβ signaling in the dermis, but effects on re-epithelialization were not observed. Our studies have focused on the VDR and its interaction with calcium in keratinocytes.  We have observed that re-epithelialization is impaired when the deletion of Vdr from keratinocytes is accompanied by either a low calcium diet (414) or a deletion of the Casr . Moreover, 1,25(OH)2D, the agonist of VDR, and NPS-R528, the agonist of CaSR, stimulate wound healing (415,416) Thus like the role of calcium and CaSR in vitamin D regulated keratinocyte differentiation so a similar synergism is seen in wound healing. These results are consistent with the loss of E-cadherin/catenin complex formation in the VDRKO keratinocyte, a complex that maintains stem cells in their niches (417), regulates when stem cell division is symmetric (to maintain stem cell numbers) or asymmetric (initiating differentiation)(418), and is essential for the ability of keratinocytes to migrate as a sheet to re-epithelialize the wound (419). As noted previously calcium and the CaSR along with 1,25(OH)2D and VDR are required for E-cadherin/catenin complex formation during the differentiation process and so are involved in enabling its role in wound healing (420).

 

Immune System

 

The potential role for vitamin D and its active metabolite 1,25(OH)2D3 in modulating the immune response has long been recognized since the discovery of vitamin D receptors (VDR) in macrophages, dendritic cells (DC) and activated T and B lymphocytes, the ability of macrophages and DC as well as activated T and B cells to express CYP27B1, and the ability of 1,25(OH)2D3 to regulate the proliferation and function of these cells. While these are the key cells mediating the adaptive immune response, 1,25(OH)2D, VDR, and CYP27B1 are also expressed in a large number of epithelial cells which along with the aforementioned members of the adaptive immune response contribute to host defense by their innate immune response. The totality of the immune response involves both types of responses in complex interactions involving numerous cytokines. The regulation of these different responses and their interactions by 1,25(OH)2D3 is nuanced. In general 1,25(OH)2D3 enhances the innate immune response primarily via its ability to stimulate cathelicidin, an antimicrobial peptide important in defense against invading organisms, whereas it inhibits the adaptive immune response primarily by inhibiting the maturation of dendritic cells (DC) important for antigen presentation, reducing T cell proliferation, and shifting the balance of T cell differentiation from the Th1 and Th17 pathways to Th2 and Treg pathways. Inflammatory autoimmune diseases such as rheumatoid arthritis, inflammatory bowel disease, and psoriasis involve Th17 activation, a cell that expresses RANKL, and so can drive osteoclastogenesis leading to bone loss.

 

ADAPTIVE IMMUNE RESPONSE

 

The adaptive immune response is initiated by cells specialized in antigen presentation, DC and macrophages in particular, activating the cells responsible for subsequent antigen recognition, T and B lymphocytes. These cells are capable of a wide repertoire of responses that ultimately determine the nature and duration of the immune response. Activation of T and B cells occurs after a priming period in tissues of the body, e.g. lymph nodes, distant from the site of the initial exposure to the antigenic substance and is marked by proliferation of the activated T and B cells accompanied by post translational modifications of immunoglobulin production that enable the cellular response to adapt specifically to the antigen presented. Importantly, the type of T cell activated, CD4 or CD8, or within the helper T cell class Th1, Th2, Th17, Treg, and subtle variations of those, is dependent on the context of the antigen presented by which cell and in what environment. Systemic factors such as vitamin D influence this process. Vitamin D in general exerts an inhibitory action on the adaptive immune system. 1,25(OH)2D3 decreases the maturation of DC as marked by inhibited expression of the costimulatory molecules HLA-DR, CD40, CD80, and CD86, decreasing their ability to present antigen and so activate T cells (421). Furthermore, by suppressing IL-12 production, important for Th1 development, and IL-23 and IL-6 production important for Th17 development and function, 1,25(OH)2D3 inhibits the development of Th1 cells capable of producing IFN-γ and IL-2, and Th17 cells producing IL-17(422). These actions prevent further antigen presentation to and recruitment of T lymphocytes (role of IFN-γ), and T lymphocyte proliferation (role of IL-2).  Suppression of IL-12 increases the development of Th2 cells leading to increased IL-4, IL-5, and IL-13 production, which further suppresses Th1 development shifting the balance to a Th2 cell phenotype. Treatment of DCs with 1,25(OH)2D3 can also induce  CD4+/CD25+ regulatory T cells (Treg) cells (423) as shown by increased FoxP3 expression, critical for Treg development. These cells produce IL-10, which suppresses the development of the other Th subclasses. Treg are critical for the induction of immune tolerance (424). In addition, 1,25(OH)2D3 alters the homing of properties of T cells for example by inducing expression of CCR10, the receptor for CCL27, a keratinocyte specific cytokine, while suppressing that of CCR9, a gut homing receptor (425). The actions of 1,25(OH)2D3 on B cells have received less attention, but studies have demonstrated a reduction in proliferation, maturation to plasma cells and immunoglobulin production (426). 

 

1,25(OH)2D3 has both direct and indirect effects on regulation of a number of cytokines involved with the immune response (review in (427)). TNF has a VDRE in its promoter to which the VDR/RXR complex binds.  1,25(OH)2D3 both blocks the activation of NFκB via an increase in IκBα expression and impedes its binding to its response elements in the genes such as IL-8 and IL-12 that it regulates. 1,25(OH)2D3 has also been shown to bring an inhibitor complex containing histone deacetylase 3 (HDAC3) to the promoter of rel B, one of the members of the NFB family, thus suppressing gene expression. Thus, TNF/NFkB activity is markedly impaired by 1,25(OH)2D3 at multiple levels. In VDR null fibroblasts, NFκB activity is enhanced. Furthermore, 1,25(OH)2D3 suppresses IFNγ, and a negative VDRE has been found in the IFNγ promoter. GM-CSF is regulated by VDR monomers binding to a repressive complex in the promoter of this gene, competing with nuclear factor of T cells 1(NFAT1) for binding to the promoter.

 

The ability of 1,25(OH)2D3 to suppress the adaptive immune system appears to be beneficial for a number of conditions in which the immune system is directed at self—i.e.. autoimmunity (review in (428)). In a number of experimental models including inflammatory arthritis, psoriasis, autoimmune diabetes (e.g. NOD mice), systemic lupus erythematosus (SLE), experimental allergic encephalitis (EAE) (a model for multiple sclerosis), inflammatory bowel disease (IBD), prostatitis, and thyroiditis VDR agonist administration has prevented and/or treated the disease process. As will be discussed later, a number of these conditions are associated with bone loss either directly (e.g. inflammatory arthritis) or indirectly presumably via increased serum levels of inflammatory cytokines. These actions of 1,25(OH)2D3 were originally ascribed to inhibition of Th1 function, but Th17 cells have also been shown to play important roles in a number of these conditions including psoriasis (321),  experimental colitis (422), and rheumatoid arthritis (429), conditions that respond to 1,25(OH)2D3 and its analogs. Although few prospective, randomized, placebo controlled trials in humans have been performed, an ancillary study to the large VITAL study indicated that vitamin D and omega 3 fatty acid supplementation were protective for the development of auto immune diseases (430). Moreover, a number of epidemiologic and case control studies indicate that a number of these diseases in humans are favorably impacted by adequate vitamin D levels. For example, the incidence of multiple sclerosis correlates inversely with 25OHD levels and vitamin D intake, and early studies suggested benefit in the treatment of patients with rheumatoid arthritis and multiple sclerosis with VDR agonists (427,428). Similarly, IBD is associated with low vitamin D levels (431). Children who are vitamin D deficient have a higher risk of developing type 1 diabetes mellitus, and supplementation with vitamin D during early childhood reduces the risk of developing type 1 diabetes (review in (421)). In VDR null mice myelopoiesis and the composition of lymphoid organs are normal, although a number of abnormalities in the immune response have been found. Some of the abnormalities in macrophage function and T cell proliferation in response to anti-CD3 stimulation in these animals could be reversed by placing the animals on a high calcium diet to normalize serum calcium (432), indicating the important role of calcium in vitamin D regulated immune function as in skeletal development and maintenance, hormone regulation, and keratinocyte differentiation. Other studies have noted an increased number of mature DCs in the lymph nodes of VDR null mice, which would be expected to promote the adaptive immune response (433). Somewhat surprisingly, RANKL also increases the number and retention of DCs in lymph nodes (434) suggesting that at least this mechanism is not mediated via the RANKL/RANK system in VDR null mice, which I will discuss at length subsequently.  In contrast to these inhibitory actions of 1,25(OH)2D3, Th2 function as indicated by increased IgE stimulated histamine from mast cells is increased in VDR null mice (435). The IL-10 null mouse model of IBD shows an accelerated disease profile when bred with the VDR null mouse with increased expression of Th1 cytokines (436). Surprisingly, despite a reduction in natural killer T cells and Treg cells and a decreased number of mature DCs, VDR null mice bred with NOD mice do not show accelerated development of diabetes (437). Part of the difference in tissue response in VDR null mice may relate to differences in the ability of 1,25(OH)2D3 to alter the homing of T cells to the different tissues (425).  In allergic airway disease (asthma) Th2 cells, not Th1 cells, dominate the inflammatory response. 1,25(OH)2D3 administration to normal mice protected these mice from experimentally induced asthma in one study, blocking eosinophil infiltration, IL-4 production, and limiting histologic evidence of inflammation (438).  However, a study with VDR null mice using a comparable method of inducing asthma showed that lack of VDR also protected the mice from an inflammatory response in their lungs (439). In an extension of this study the investigators showed that wildtype (WT) splenocytes were only minimally successful at restoring experimental airway inflammation to VDR null mice, whereas splenocytes from these mice were able to transfer experimental airway inflammation to the unprimed WT host (440). Thus, the impact of vitamin D signaling on adaptive immunity depends on the specifics of the immune response being evaluated.

 

Inhibition of the adaptive immune response may also have benefit in transplantation procedures (441). In experimental allograft models of the aorta, bone, bone marrow, heart, kidney, liver, pancreatic islets, skin, and small bowel VDR agonists have shown benefit generally in combination with other immunosuppressive agents such as cyclosporine, tacrolimus, sirolimus, and glucocorticoids (441). Much of the effect could be attributed to a reduction in infiltration of Th1 cells, macrophages and DC into the grafted tissue associated with a reduction in chemokines such as CXCL10, CXCL9, CCL2, and CCL5.  CXCL10, the ligand for CXCR3, may be of particular importance for acute rejection in a number of tissues, whereas CXCL9 as well as CXCL10 (both CXCR3 ligands) may be more important for chronic rejection at least in the heart and kidney, respectively. Although there are no prospective trials of the use of VDR agonists in transplant patients, several retrospective studies in patients with renal transplants treated with 1,25(OH)2D3 have suggested benefit with respect to prolonged graft survival and reduced numbers of acute rejection episodes.

 

Suppression of the adaptive immune system may not be without a price. Several publications have demonstrated that for some infections including Leishmania major (442) and toxoplasmosis (443), 1,25(OH)2D3 promotes the infection (443), while the mouse null for VDR is protected (442). This may be due at least in part to loss of IFNγ stimulation of ROS and NO production required for macrophage antimicrobial activity (442). Furthermore, atopic dermatitis, a disease associated with increased Th2 activity (444), and allergic airway disease, likewise associated with increased Th2 activity, (438-440), may be aggravated by 1,25(OH)2D3 and are less severe in animals null for VDR.

 

THE INNATE IMMUNE RESPONSE

 

The innate immune response involves the activation of toll-like receptors (TLRs) in polymorphonuclear cells (PMNs), monocytes, and macrophages as well as in a number of epithelial cells including those of the epidermis, gingiva, intestine, vagina, bladder, and lungs (review in (445)). There are 10 functional TLRs in human cells (of 11 known mammalian TLRs). TLRs are an extended family of host noncatalytic transmembrane pathogen-recognition receptors that interact with specific membrane patterns (PAMP) shed by infectious agents that trigger the innate immune response in the host. A number of these TLRs signal through adapter molecules such as myeloid differentiation factor-88 (MyD88) and the TIR-domain containing adapter inducing IFN-β (TRIF).  MyD88 signaling includes translocation of NFkB to the nucleus, leading to the production and secretion of a number of inflammatory cytokines. TRIF signaling leads to the activation of interferon regulatory factor-3 (IRF-3) and the induction of type 1 interferons such as IFN-β.  MyD88 mediates signaling from TLRs 2, 4, 5, 7 and 9, whereas TRIF mediates signaling from TLR 3 and 4. TLR1/2, TLR4, TLR5, TLR2/6 respond to bacterial ligands, whereas, TLR3, TLR7, and TLR 8 respond to viral ligands. The TLR response to fungi is less well defined. CD14 serves as a coreceptor for a number of these TLRs. Activation of TLRs leads to the induction of antimicrobial peptides (AMPs) and reactive oxygen species, which kill the organism. Among these AMPs is cathelicidin. Cathelicidin plays a number of roles in the innate immune response. The precursor protein, hCAP18, must be cleaved to its major peptide LL-37 to be active. In addition to its antimicrobial properties, LL-37 can stimulate the release of cytokines such as IL-6 and IL-10 through G protein coupled receptors, and IL-18 through ERK/P38 pathways, stimulate the EGF receptor leading to activation of STAT1 and 3, induce the chemotaxis of neutrophils, monocytes, macrophages, and T cells into the skin, and promote keratinocyte proliferation and migration (446). The expression of this antimicrobial peptide is induced by 1,25(OH)2D3 in both myeloid and epithelial cells (447,448).  In addition, 1,25(OH)2D3 induces the coreceptor CD14 in keratinocytes(449). Stimulation of TLR2 by infectious organisms like tuberculosis in macrophages (450) or stimulation of TLR2 in keratinocytes by wounding the epidermis (449) results in increased expression of CYP27B1, which in the presence of adequate substrate (25OHD) stimulates the expression of cathelicidin.  Lack of substrate (25OHD) or lack of CYP27B1 blunts the ability of these cells to respond to a challenge with respect to cathelicidin and/or CD14 production (448-450). In diseases such as atopic dermatitis, the production of cathelicidin and other antimicrobial peptides (AMPs) is reduced, predisposing these patients to microbial superinfections (451). Th2 cytokines such as IL-4 and 13 suppress the induction of AMPs(452). Since 1,25(OH)2D3 stimulates the differentiaton of Th2 cells, in this disease 1,25(OH)2D3 administration may be harmful.  An important role of these AMPs besides their antimicrobial properties is to help link the innate and adaptive immune response. This interplay is well demonstrated in SARS-CoV-19 infections in which a dysfunctional and/or delayed innate immune response can lead to an unchecked adaptive immune response resulting in a massive release of proinflammatory cytokines, the “cytokine storm”, leading to destruction of the lungs and death (453). Patients with vitamin D deficiency appear to be more vulnerable to this infection (454).

 

Although many cells are capable of the innate immune response including bone cells, most studies have focused on the macrophage and the keratinocyte. Vitamin D regulation of the innate immune response in these two cell types is comparable, but differences exist.

 

Macrophages

 

The importance of adequate vitamin D nutrition for resistance to infection has long been appreciated but poorly understood. This has been especially true for tuberculosis. Indeed, prior to the development of specific drugs for the treatment of tuberculosis, getting out of the city into fresh air and sunlight was the treatment of choice. In a recent survey of patients with tuberculosis in London (455) 56% had undetectable 25OHD levels, and an additional 20% had detectable levels but below 9 ng/ml (22 nM).  In 1986 Rook et al. (456) demonstrated that 1,25(OH)2D3 could inhibit the growth of Mycobacterium tuberculosis.  The mechanism for this remained unclear until the publication by Liu et al. (450)of their results in macrophages. They observed that activation of the Toll-like receptor TLR2/1 by a lipoprotein extracted from M. tuberculosis reduced the viability of intracellular M. tuberculosis in human monocytes and macrophages concomitant with increased expression of the VDR and of CYP27B1 in these cells. Killing of M. tuberculosis occurred only when the serum in which the cells were cultured contained adequate levels of 25OHD, the substrate for CYP27B1. This provided clear evidence for the importance of vitamin D nutrition (as manifested by adequate serum levels of 25OHD) in preventing and treating this disease and demonstrated the critical role for endogenous production of 1,25(OH)2D3 by the macrophage to enable its antimycobacterial capacity.  Activation of TLR2/1 or directly treating these cells with 1,25(OH)2D3 induced the antimicrobial peptide cathelicidin, which is toxic for M. tuberculosis. If induction of cathelicidin is blocked as with siRNA, the ability of 1,25(OH)2D3 to enhance the killing of M. tuberculosis is prevented (457). Furthermore, 1,25(OH)2D3 also induces the production of reactive oxygen species which if blocked likewise prevents the anti-myobacterial activity of 1,25(OH)2D3 treated macrophages (458). The murine cathelicidin gene lacks a known VDR response element in its promoter and so might not be expected to be induced by 1,25(OH)2D3 in mouse cells, yet 1,25(OH)2D3 stimulates antimycobacterial activity in murine macrophages. Murine macrophages, unlike human macrophages, utilize inducible nitric oxide synthase (iNOS) for their TLR and 1,25(OH)2D3 mediated killing of M. tuberculosis (458,459). Clinical trials attempting to treat tuberculosis patients with high levels of vitamin D have shown mixed results (460,461).

 

Keratinocytes

 

Cathelicidiin and CD14 expression in epidermal keratinocytes is induced by 1,25(OH)2D3 (446,449).  In these cells butyrate, which by itself has little effect, potentiates the ability of 1,25(OH)2D3 to induce cathelicidin (462).  Keratinocytes treated with 1,25(OH)2D3 are substantially more effective in killing Staphyococcus aureus than are untreated keratinocytes. Wounding the epidermis induces the expression of TLR2 and that of its co-receptor CD14 and cathelicidin (449). This does not occur in mice lacking CYP27B1 (449). Unlike macrophages, 1,25(OH)2D3 stimulates TLR2 expression in keratinocytes as well as in the epidermis when applied topically (449) providing a feed forward loop to amplify the innate immune response. Wounding also increases the expression of CYP27B1.  This may occur as a result of increased levels of cytokines such as TNF-α and IFN-γ, both of which we have shown stimulate 1,25(OH)2D3production, as well as by TGF-β and the TLR2 ligand Malp-2 (449). When the levels of VDR or one of its principal coactivators, SRC3, are reduced using siRNA technology, the ability of 1,25(OH)2D3 to induce cathelicidin and CD14 expression in human keratinocytes is markedly blunted (462).

 

Other Tissues

 

The VDR is widespread (125,463) (reviews). In some of these tissues the functional significance of the VDR and/or the effect of 1,25(OH)2D are unclear. Since several of the functions regulated by 1,25(OH)2D in some of these tissues may have clinical relevance, this section will focus on a select number of these tissues.

 

HEART

 

A reduction in contractility has been observed in vitamin D deficient animals (464). This may be due to lack of vitamin D or the accompanying hypocalcemia and hypophosphatemia. However, in vitro 1,25(OH)2D stimulates calcium uptake by cardiac muscle cells (465,466). In addition 1,25(OH)2D inhibits the expression of atrial natriuretic factor, one of the few genes with a known negative VDRE in its promoter (467).  Deletion of the VDR specifically in cardiac muscle leads to hypertrophy and fibrosis (468). Low circulating levels of 25OHD are associated with increased risk of myocardial infarction in men (436). However, a large randomized clinical trial failed to show a protective effective of vitamin D supplementation to individuals with normal levels of 25OHD with respect to cardiovascular disease (339)

 

SKELETAL MUSCLE

 

Proximal muscle weakness is a hallmark of vitamin D deficiency, and reduced high energy substrates (ATP, creatinine phosphate) have been observed in that condition (469). Myoblasts contain VDR, although the expression of VDR in mature muscle cells is controversial. Muscle weakness may reflect the lower levels of calcium and phosphate rather than a reduction in 1,25(OH)2D. However, evidence for a direct role of 1,25(OH)2D and VDR in muscle function is increasing (470). Moreover, 1,25(OH)2D may have actions on muscle that do not require the VDR, at least the genomic functions of VDR. The Boland laboratory (471) has demonstrated acute effects of 1,25(OH)2D on calcium uptake, PLC, PLA2, PLD, PKC, and adenylate cyclase activities, all of which may alter muscle function.

 

PITUITARY

 

VDR have been found primarily in thyrotropes in vivo and in GH and prolactin secreting cell lines in vitro (472,473). 1,25(OH)2D increases TRH stimulated TSH secretion by a mechanism involving increased Cai and IP3 production (474,475), suggesting that induction of PLC by 1,25(OH)2D may be involved.

 

BREAST

 

The breast contains VDR (476), and vitamin D plays a role in normal breast development (477). Moreover, breast cancer cells also contain VDR (478), and 1,25(OH)2D and its analogs reduce their proliferation in vivo and in vitro (479,480). This has obvious clinical implications for the treatment of breast cancer.

 

LIVER

 

Low levels of VDR have been found in the liver, particularly in stellate cells (481,482). Hepatic regeneration is impaired in vitamin D deficient animals, even when the serum calcium is normalized by a high calcium diet (483), suggesting a role for 1,25(OH)2D in hepatic cell growth and in the prevention of hepatic fibrosis (482).

 

LUNG

 

VDR have been found in type II epithelial pneumocytes (484). 1,25(OH)2D stimulates their maturation including increased phospholipid production and surfactant release [437].These results are consistent with the abnormal alveolar development observed in pups born to vitamin D deficient mothers (485). In addition 1,25(OH)2D stimulates the innate immune response in bronchial epithelial cells and may provide protection in patients with cystic fibrosis with recurrent lung infections as well as in patient with Covid-19 infections (453,486) as discussed previously.

 

REFERENCES

 

  1. Whistler D. De morbo puerli anglorum, quem patrio ideiomate indigenae vocant "the rickets". Journal of History of Medicine. 1645;5:397-415.
  2. Mellanby E. An experimental investigation on rickets. Lancet. 1919;1:407-412.
  3. McCollum EV, Simmonds N, Becker JE, Shipley PG. An experimental demonstration of the existence of a vitamin which promotes calcium deposition. Journal of Biological Chemistry. 1922;53:293-298.
  4. Steenbock H, Black A. Fat-soluble vitamins. XVII. The induction of growth-promoting and calcifying properties in a ration by exposure to ultraviolet light. Journal of Biological Chemistry. 1924;61:405-422.
  5. Huldshinsky K. Heilung von rachitis durch kunstalich hohensonne. Deut Med Wochenschr. 1919;45:712-713.
  6. Hess AF, Unger LF. Cure of infantile rickets by sunlight. Journal of The American Medical Association. 1921;77:39.
  7. Askew FA, Bourdillon RB, Bruce HM, Jenkins RGC, Webster TA. The distillation of vitamin D. Proceedings of the Royal Society. 1931;B107:76-90.
  8. Windaus A, Schenck F, von Werder F. Uber das antirachitisch wirksame bestrahlungs-produkt aus 7-dehydro-cholesterin. Hoppe-Seylers Z Physiological Chemistry. 1936;241:100-103.
  9. Prabhu AV, Luu W, Sharpe LJ, Brown AJ. Cholesterol-mediated Degradation of 7-Dehydrocholesterol Reductase Switches the Balance from Cholesterol to Vitamin D Synthesis. The Journal of biological chemistry. 2016;291(16):8363-8373.
  10. Holick MF, McLaughlin JA, Clark MB, Doppelt SH. Factors that influence the cutaneous photosynthesis of previtamin D3. Science. 1981;211:590-593.
  11. Holick MF, McLaughlin JA, Clark MB, Holick SA, J.T. PJ, Anderson RR, Blank IH, Parrish JA. Photosynthesis of previtamin D3 in human and the physiologic consequences. Science. 1980;210:203-205.
  12. Holick MF, Richtand NM, McNeill SC, Holick SA, Frommer JE, Henley JW, Potts JT, Jr. Isolation and identification of previtamin D3 from the skin of rats exposed to ultraviolet irradiation. Biochemistry. 1979;18(6):1003-1008.
  13. Webb AR, DeCosta BR, Holick MF. Sunlight regulates the cutaneous production of vitamin D3 by causing its photodegradation. Journal of Clinical Endocrinology and Metabolism. 1989;68(5):882-887.
  14. Bell NH, Greene A, Epstein S, Oexmann MJ, Shaw S, Shary J. Evidence for alteration of the vitamin D-endocrine system in blacks. Journal of Clinical Investigation. 1985;76(2):470-473.
  15. Webb AR, Kline L, Holick MF. Influence of season and latitude on the cutaneous synthesis of vitamin D3: exposure to winter sunlight in Boston and Edmonton will not promote vitamin D3 synthesis in human skin. Journal of Clinical Endocrinology and Metabolism. 1988;67(2):373-378.
  16. Matsuoka LY, Wortsman J, Dannenberg MJ, Hollis BW, Lu Z, Holick MF. Clothing prevents ultraviolet-B radiation-dependent photosynthesis of vitamin D3. The Journal of clinical endocrinology and metabolism. 1992;75(4):1099-1103.
  17. Matsuoka LY, Ide L, Wortsman J, MacLaughlin JA, Holick MF. Sunscreens suppress cutaneous vitamin D3 synthesis. Journal of Clinical Endocrinology and Metabolism. 1987;64(6):1165-1168.
  18. Passeron T, Bouillon R, Callender V, Cestari T, Diepgen TL, Green AC, van der Pols JC, Bernard BA, Ly F, Bernerd F, Marrot L, Nielsen M, Verschoore M, Jablonski NG, Young AR. Sunscreen photoprotection and vitamin D status. Br J Dermatol. 2019;181(5):916-931.
  19. Zhu JG, Ochalek JT, Kaufmann M, Jones G, Deluca HF. CYP2R1 is a major, but not exclusive, contributor to 25-hydroxyvitamin D production in vivo. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(39):15650-15655.
  20. Thacher TD, Fischer PR, Singh RJ, Roizen J, Levine MA. CYP2R1 Mutations Impair Generation of 25-hydroxyvitamin D and Cause an Atypical Form of Vitamin D Deficiency. The Journal of clinical endocrinology and metabolism. 2015;100(7):E1005-1013.
  21. Andersson S, Davis DL, Dahlbäck H, Jörnvall H, Russell DW. Cloning, structure, and expression of the mitochondrial cytochrome P-450 sterol 26-hydroxylase, a bile acid biosynthetic enzyme. Journal of Biological Chemistry. 1989;264(14):8222-8229.
  22. Usui E, Noshiro M, Okuda K. Molecular cloning of cDNA for vitamin D3 25-hydroxylase from rat liver mitochondria. Febs Letters. 1990;262(1):135-138.
  23. Cali JJ, Russell DW. Characterization of human sterol 27-hydroxylase. A mitochondrial cytochrome P-450 that catalyzes multiple oxidation reaction in bile acid biosynthesis. Journal of Biological Chemistry. 1991;266(12):7774-7778.
  24. Ichikawa F, Sato K, Nanjo M, Nishii Y, Shinki T, Takahashi N, Suda T. Mouse primary osteoblasts express vitamin D3 25-hydroxylase mRNA and convert 1 alpha-hydroxyvitamin D3 into 1 alpha,25-dihydroxyvitamin D3. Bone. 1995;16(1):129-135.
  25. Cali JJ, Hsieh CL, Francke U, Russell DW. Mutations in the bile acid biosynthetic enzyme sterol 27-hydroxylase underlie cerebrotendinous xanthomatosis. Journal of Biological Chemistry. 1991;266(12):7779-7783.
  26. Leitersdorf E, Reshef A, Meiner V, Levitzki R, Schwartz SP, Dann EJ, Berkman N, Cali JJ, Klapholz L, Berginer VM. Frameshift and splice-junction mutations in the sterol 27-hydroxylase gene cause cerebrotendinous xanthomatosis in Jews or Moroccan origin. Journal of Clinical Investigation. 1993;91(6):2488-2496.
  27. Berginer VM, Shany S, Alkalay D, Berginer J, Dekel S, Salen G, Tint GS, Gazit D. Osteoporosis and increased bone fractures in cerebrotendinous xanthomatosis [see comments]. Metabolism: Clinical and Experimental. 1993;42(1):69-74.
  28. Leitersdorf E, Safadi R, Meiner V, Reshef A, Björkhem I, Friedlander Y, Morkos S, Berginer VM. Cerebrotendinous xanthomatosis in the Israeli Druze: molecular genetics and phenotypic characteristics. American Journal of Human Genetics. 1994;55(5):907-915.
  29. Guo YD, Strugnell S, Jones G. Identification of a human liver mitochondrial cytochrome P-450 cDNA corresponding to the vitamin D3-25-hydroxylase. Journal of Bone and Mineral Research. 1991;6:S120.
  30. Guo YD, Strugnell S, Back DW, Jones G. Transfected human liver cytochrome P-450 hydroxylates vitamin D analogs at different side-chain positions. Proc Natl Acad Sci U S A. 1993;90(18):8668-8672.
  31. Cheng JB, Motola DL, Mangelsdorf DJ, Russell DW. De-orphanization of cytochrome P450 2R1: a microsomal vitamin D 25-hydroxilase. The Journal of biological chemistry. 2003;278(39):38084-38093.
  32. Cheng JB, Levine MA, Bell NH, Mangelsdorf DJ, Russell DW. Genetic evidence that the human CYP2R1 enzyme is a key vitamin D 25-hydroxylase. Proceedings of the National Academy of Sciences of the United States of America. 2004;101(20):7711-7715.
  33. Theodoropoulos C, Demers C, Mirshahi A, Gascon-Barre M. 1,25-Dihydroxyvitamin D(3) downregulates the rat intestinal vitamin D(3)-25-hydroxylase CYP27A. Am J Physiol Endocrinol Metab. 2001;281(2):E315-325.
  34. Axen E, Postlind H, Wikvall K. Effects on CYP27 mRNA expression in rat kidney and liver by 1 alpha, 25- dihydroxyvitamin D3, a suppressor of renal 25-hydroxyvitamin D3 1 alpha- hydroxylase activity. Biochem Biophys Res Commun. 1995;215(1):136-141.
  35. Vlahcevic ZR, Jairath SK, Heuman DM, Stravitz RT, Hylemon PB, Avadhani NG, Pandak WM. Transcriptional regulation of hepatic sterol 27-hydroxylase by bile acids. Am J Physiol. 1996;270(4 Pt 1):G646-652.
  36. Twisk J, Hoekman MF, Lehmann EM, Meijer P, Mager WH, Princen HM. Insulin suppresses bile acid synthesis in cultured rat hepatocytes by down-regulation of cholesterol 7 alpha-hydroxylase and sterol 27- hydroxylase gene transcription. Hepatology. 1995;21(2):501-510.
  37. Stravitz RT, Vlahcevic ZR, Russell TL, Heizer ML, Avadhani NG, Hylemon PB. Regulation of sterol 27-hydroxylase and an alternative pathway of bile acid biosynthesis in primary cultures of rat hepatocytes. J Steroid Biochem Mol Biol. 1996;57(5-6):337-347.
  38. Roizen JD, Long C, Casella A, O'Lear L, Caplan I, Lai M, Sasson I, Singh R, Makowski AJ, Simmons R, Levine MA. Obesity Decreases Hepatic 25-Hydroxylase Activity Causing Low Serum 25-Hydroxyvitamin D. J Bone Miner Res. 2019:e3686.
  39. Aatsinki SM, Elkhwanky MS, Kummu O, Karpale M, Buler M, Viitala P, Rinne V, Mutikainen M, Tavi P, Franko A, Wiesner RJ, Chambers KT, Finck BN, Hakkola J. Fasting-Induced Transcription Factors Repress Vitamin D Bioactivation, a Mechanism for Vitamin D Deficiency in Diabetes. Diabetes. 2019;68(5):918-931.
  40. Fu GK, Lin D, Zhang MY, Bikle DD, Shackleton CH, Miller WL, Portale AA. Cloning of human 25-hydroxyvitamin D-1 alpha-hydroxylase and mutations causing vitamin D-dependent rickets type 1. Mol Endocrinol. 1997;11(13):1961-1970.
  41. Takeyama K, Kitanaka S, Sato T, Kobori M, Yanagisawa J, Kato S. 25-Hydroxyvitamin D3 1alpha-hydroxylase and vitamin D synthesis. Science. 1997;277(5333):1827-1830.
  42. St-Arnaud R, Messerlian S, Moir JM, Omdahl JL, Glorieux FH. The 25-hydroxyvitamin D 1-alpha-hydroxylase gene maps to the pseudovitamin D-deficiency rickets (PDDR) disease locus. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1997;12(10):1552-1559.
  43. Shinki T, Shimada H, Wakino S, Anazawa H, Hayashi M, Saruta T, DeLuca HF, Suda T. Cloning and expression of rat 25-hydroxyvitamin D3-1alpha-hydroxylase cDNA. Proc Natl Acad Sci U S A. 1997;94(24):12920-12925.
  44. Kitanaka S, Takeyama K, Murayama A, Sato T, Okumura K, Nogami M, Hasegawa Y, Niimi H, Yanagisawa J, Tanaka T, Kato S. Inactivating mutations in the 25-hydroxyvitamin D3 1alpha-hydroxylase gene in patients with pseudovitamin D-deficiency rickets. N Engl J Med. 1998;338(10):653-661.
  45. Wang JT, Lin CJ, Burridge SM, Fu GK, Labuda M, Portale AA, Miller WL. Genetics of vitamin D 1alpha-hydroxylase deficiency in 17 families. Am J Hum Genet. 1998;63(6):1694-1702.
  46. Dardenne O, Prud'homme J, Arabian A, Glorieux FH, St-Arnaud R. Targeted inactivation of the 25-hydroxyvitamin D(3)-1(alpha)- hydroxylase gene (CYP27B1) creates an animal model of pseudovitamin D- deficiency rickets. Endocrinology. 2001;142(7):3135-3141.
  47. Bikle DD, Nemanic MK, Whitney JO, Elias PW. Neonatal human foreskin keratinocytes produce 1,25-dihydroxyvitamin D3. Biochemistry. 1986;25(7):1545-1548.
  48. Murayama A, Takeyama K, Kitanaka S, Kodera Y, Kawaguchi Y, Hosoya T, Kato S. Positive and negative regulations of the renal 25-hydroxyvitamin D3 1alpha-hydroxylase gene by parathyroid hormone, calcitonin, and 1alpha,25(OH)2D3 in intact animals. Endocrinology. 1999;140(5):2224-2231.
  49. Panda DK, Al Kawas S, Seldin MF, Hendy GN, Goltzman D. 25-hydroxyvitamin D 1alpha-hydroxylase: structure of the mouse gene, chromosomal assignment, and developmental expression. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2001;16(1):46-56.
  50. Zehnder D, Bland R, Williams MC, McNinch RW, Howie AJ, Stewart PM, Hewison M. Extrarenal expression of 25-hydroxyvitamin d(3)-1 alpha-hydroxylase. J Clin Endocrinol Metab. 2001;86(2):888-894.
  51. Bikle DD. Extra renal synthesis of 1,25 dihydroxyvitamin D and its Health Implications. Clin Rev in Bone and Min Metab. 2009;7:114-125.
  52. Bikle DD, Pillai S. Vitamin D, calcium, and epidermal differentiation. Endocrine Review. 1993;14:3-19.
  53. Horiuchi N, Suda T, Takahashi H, Shimazawa E, Ogata E. In vivo evidence for the intermediary role of 3',5'-cyclic AMP in parathyroid hormone-induced stimulation of 1alpha,25-dihydroxyvitamin D3 synthesis in rats. Endocrinology. 1977;101(3):969-974.
  54. Rasmussen H, Wong M, Bikle D, Goodman DB. Hormonal control of the renal conversion of 25-hydroxycholecalciferol to 1,25-dihydroxycholecalciferol. The Journal of clinical investigation. 1972;51(9):2502-2504.
  55. Rost CR, Bikle DD, Kaplan RA. In vitro stimulation of 25-hydroxycholecalciferol 1 alpha-hydroxylation by parathyroid hormone in chick kidney slices: evidence for a role for adenosine 3',5'-monophosphate. Endocrinology. 1981;108(3):1002-1006.
  56. Henry HL. Parathyroid hormone modulation of 25-hydroxyvitamin D3 metabolism by cultured chick kidney cells is mimicked and enhanced by forskolin. Endocrinology. 1985;116(2):503-510.
  57. Armbrecht HJ, Forte LR, Wongsurawat N, Zenser TV, Davis BB. Forskolin increases 1,25-dihydroxyvitamin D3 production by rat renal slices in vitro. Endocrinology. 1984;114(2):644-649.
  58. Janulis M, Tembe V, Favus MJ. Role of protein kinase C in parathyroid hormone stimulation of renal 1,25-dihydroxyvitamin D3 secretion. The Journal of clinical investigation. 1992;90(6):2278-2283.
  59. Janulis M, Wong MS, Favus MJ. Structure-function requirements of parathyroid hormone for stimulation of 1,25-dihydroxyvitamin D3 production by rat renal proximal tubules. Endocrinology. 1993;133(2):713-719.
  60. Brenza HL, Kimmel-Jehan C, Jehan F, Shinki T, Wakino S, Anazawa H, Suda T, DeLuca HF. Parathyroid hormone activation of the 25-hydroxyvitamin D3-1alpha- hydroxylase gene promoter. Proc Natl Acad Sci U S A. 1998;95(4):1387-1391.
  61. Zierold C, Nehring JA, DeLuca HF. Nuclear receptor 4A2 and C/EBPbeta regulate the parathyroid hormone-mediated transcriptional regulation of the 25-hydroxyvitamin D3-1alpha-hydroxylase. Archives of biochemistry and biophysics. 2007;460(2):233-239.
  62. Bikle DD, Murphy EW, Rasmussen H. The ionic control of 1,25-dihydroxyvitamin D3 synthesis in isolated chick renal mitochondria. The role of calcium as influenced by inorganic phosphate and hydrogen-ion. The Journal of clinical investigation. 1975;55(2):299-304.
  63. Bushinsky DA, Riera GS, Favus MJ, Coe FL. Evidence that blood ionized calcium can regulate serum 1,25(OH)2D3 independently of parathyroid hormone and phosphorus in the rat. The Journal of clinical investigation. 1985;76(4):1599-1604.
  64. Hulter HN, Halloran BP, Toto RD, Peterson JC. Long-term control of plasma calcitriol concentration in dogs and humans. Dominant role of plasma calcium concentration in experimental hyperparathyroidism. The Journal of clinical investigation. 1985;76(2):695-702.
  65. Hughes MR, Brumbaugh PF, Hussler MR, Wergedal JE, Baylink DJ. Regulation of serum 1alpha,25-dihydroxyvitamin D3 by calcium and phosphate in the rat. Science. 1975;190(4214):578-580.
  66. Portale AA, Halloran BP, Morris RC, Jr. Dietary intake of phosphorus modulates the circadian rhythm in serum concentration of phosphorus. Implications for the renal production of 1,25-dihydroxyvitamin D. The Journal of clinical investigation. 1987;80(4):1147-1154.
  67. Condamine L, Menaa C, Vrtovsnik F, Vztovsnik F, Friedlander G, Garabedian M. Local action of phosphate depletion and insulin-like growth factor 1 on in vitro production of 1,25-dihydroxyvitamin D by cultured mammalian kidney cells. The Journal of clinical investigation. 1994;94(4):1673-1679.
  68. Gray RW. Control of plasma 1,25-(OH)2-vitamin D concentrations by calcium and phosphorus in the rat: effects of hypophysectomy. Calcif Tissue Int. 1981;33(5):485-488.
  69. Yoshida T, Yoshida N, Monkawa T, Hayashi M, Saruta T. Dietary phosphorus deprivation induces 25-hydroxyvitamin D(3) 1alpha- hydroxylase gene expression. Endocrinology. 2001;142(5):1720-1726.
  70. Gray RW, Garthwaite TL, Phillips LS. Growth hormone and triiodothyronine permit an increase in plasma 1,25(OH)2D concentrations in response to dietary phosphate deprivation in hypophysectomized rats. Calcif Tissue Int. 1983;35(1):100-106.
  71. Halloran BP, Spencer EM. Dietary phosphorus and 1,25-dihydroxyvitamin D metabolism: influence of insulin-like growth factor I. Endocrinology. 1988;123(3):1225-1229.
  72. Saito H, Kusano K, Kinosaki M, Ito H, Hirata M, Segawa H, Miyamoto K, Fukushima N. Human fibroblast growth factor-23 mutants suppress Na+-dependent phosphate co-transport activity and 1alpha,25-dihydroxyvitamin D3 production. The Journal of biological chemistry. 2003;278(4):2206-2211.
  73. White KE, Evans WE, O'Riordan JLH, Speer MC, Econs MJ, Lorenz-Depiereux B, Grabowski M, Meitinger T, Strom TM. Autosomal dominant hypophosphataemic rickets is associated with mutations in FGF23. Nature Genetics. 2000;26:345.
  74. Shimada T, Mizutani S, Muto T, Yoneya T, Hino R, Takeda S, Takeuchi Y, Fujita T, Fukumoto S, Yamashita T. Cloning and characterization of FGF23 as a causative factor of tumor-induced osteomalacia. Proceedings of the National Academy of Sciences of the United States of America. 2001;98(11):6500-6505.
  75. Blau JE, Collins MT. The PTH-Vitamin D-FGF23 axis. Reviews in endocrine & metabolic disorders. 2015;16(2):165-174.
  76. Meyer MB, Benkusky NA, Kaufmann M, Lee SM, Redfield RR, Jones G, Pike JW. Targeted genomic deletions identify diverse enhancer functions and generate a kidney-specific, endocrine-deficient Cyp27b1 pseudo-null mouse. The Journal of biological chemistry. 2019;294(24):9518-9535.
  77. Schuster I, Egger H, Astecker N, Herzig G, Schussler M, Vorisek G. Selective inhibitors of CYP24: mechanistic tools to explore vitamin D metabolism in human keratinocytes. Steroids. 2001;66(3-5):451-462.
  78. Xie Z, Munson S, Huang N, Schuster I, Portale AA, Miller WL, Bikle DD. The mechanism of 1,25-Dihydroxyvitamin D3 auto-regulation in keratinocytes. j bone min Res (Program & abstracts). 2001;16 suppl 1:S556.
  79. Akiyoshi-Shibata M, Sakaki T, Ohyama Y, Noshiro M, Okuda K, Yabusaki Y. Further oxidation of hydroxycalcidiol by calcidiol 24-hydroxylase. A study with the mature enzyme expressed in Escherichia coli. Eur J Biochem. 1994;224(2):335-343.
  80. Jones G, Prosser DE, Kaufmann M. 25-Hydroxyvitamin D-24-hydroxylase (CYP24A1): its important role in the degradation of vitamin D. Arch Biochem Biophys. 2012;523(1):9-18.
  81. Schlingmann KP, Kaufmann M, Weber S, Irwin A, Goos C, John U, Misselwitz J, Klaus G, Kuwertz-Broking E, Fehrenbach H, Wingen AM, Guran T, Hoenderop JG, Bindels RJ, Prosser DE, Jones G, Konrad M. Mutations in CYP24A1 and idiopathic infantile hypercalcemia. N Engl J Med. 2011;365(5):410-421.
  82. Shah AD, Hsiao EC, O'Donnell B, Salmeen K, Nussbaum R, Krebs M, Baumgartner-Parzer S, Kaufmann M, Jones G, Bikle DD, Wang Y, Mathew AS, Shoback D, Block-Kurbisch I. Maternal Hypercalcemia Due to Failure of 1,25-Dihydroxyvitamin-D3 Catabolism in a Patient With CYP24A1 Mutations. The Journal of clinical endocrinology and metabolism. 2015;100(8):2832-2836.
  83. St-Arnaud R, Arabian A, Travers R, Barletta F, Raval-Pandya M, Chapin K, Depovere J, Mathieu C, Christakos S, Demay MB, Glorieux FH. Deficient mineralization of intramembranous bone in vitamin D-24- hydroxylase-ablated mice is due to elevated 1,25-dihydroxyvitamin D and not to the absence of 24,25-dihydroxyvitamin D. Endocrinology. 2000;141(7):2658-2666.
  84. Hahn CN, Kerry DM, Omdahl JL, May BK. Identification of a vitamin D responsive element in the promoter of the rat cytochrome P450(24) gene. Nucleic Acids Res. 1994;22(12):2410-2416.
  85. Chen KS, DeLuca HF. Cloning of the human 1 alpha,25-dihydroxyvitamin D-3 24-hydroxylase gene promoter and identification of two vitamin D-responsive elements. Biochim Biophys Acta. 1995;1263(1):1-9.
  86. Ohyama Y, Ozono K, Uchida M, Shinki T, Kato S, Suda T, Yamamoto O, Noshiro M, Kato Y. Identification of a vitamin D-responsive element in the 5'-flanking region of the rat 25-hydroxyvitamin D3 24-hydroxylase gene. The Journal of biological chemistry. 1994;269(14):10545-10550.
  87. Chen ML, Boltz MA, Armbrecht HJ. Effects of 1,25-dihydroxyvitamin D3 and phorbol ester on 25- hydroxyvitamin D3 24-hydroxylase cytochrome P450 messenger ribonucleic acid levels in primary cultures of rat renal cells. Endocrinology. 1993;132(4):1782-1788.
  88. Pike JW, Kerner SA, Jin CH, Allegretto EA, Elgort M. Direct activation of the human 25-(OH)2D3 and PMA: Identification of cis elements and transactivators. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1995;10:S144.
  89. Garabedian M, Holick MF, Deluca HF, Boyle IT. Control of 25-hydroxycholecalciferol metabolism by parathyroid glands. Proc Natl Acad Sci U S A. 1972;69(7):1673-1676.
  90. Shigematsu T, Horiuchi N, Ogura Y, Miyahara T, Suda T. Human parathyroid hormone inhibits renal 24-hydroxylase activity of 25- hydroxyvitamin D3 by a mechanism involving adenosine 3',5'- monophosphate in rats. Endocrinology. 1986;118(4):1583-1589.
  91. Armbrecht HJ, Wongsurawat N, Zenser TV, Davis BB. Effect of PTH and 1,25(OH)2D3 on renal 25(OH)D3 metabolism, adenylate cyclase, and protein kinase. Am J Physiol. 1984;246(1 Pt 1):E102-107.
  92. Armbrecht HJ, Hodam TL, Boltz MA, Partridge NC, Brown AJ, Kumar VB. Induction of the vitamin D 24-hydroxylase (CYP24) by 1,25-dihydroxyvitamin D3 is regulated by parathyroid hormone in UMR106 osteoblastic cells. Endocrinology. 1998;139(8):3375-3381.
  93. Armbrecht HJ, Wongsurawat VJ, Hodam TL, Wongsurawat N. Insulin markedly potentiates the capacity of parathyroid hormone to increase expression of 25-hydroxyvitamin D3-24-hydroxylase in rat osteoblastic cells in the presence of 1,25-dihydroxyvitamin D3. FEBS Lett. 1996;393(1):77-80.
  94. Meyer MB, Lee SM, Carlson AH, Benkusky NA, Kaufmann M, Jones G, Pike JW. A chromatin-based mechanism controls differential regulation of the cytochrome P450 gene Cyp24a1 in renal and non-renal tissues. The Journal of biological chemistry. 2019;294(39):14467-14481.
  95. Inoue Y, Segawa H, Kaneko I, Yamanaka S, Kusano K, Kawakami E, Furutani J, Ito M, Kuwahata M, Saito H, Fukushima N, Kato S, Kanayama HO, Miyamoto K. Role of the vitamin D receptor in FGF23 action on phosphate metabolism. Biochem J. 2005;390(Pt 1):325-331.
  96. Wu S, Grieff M, Brown AJ. Regulation of renal vitamin D-24-hydroxylase by phosphate: effects of hypophysectomy, growth hormone and insulin-like growth factor I. Biochem Biophys Res Commun. 1997;233(3):813-817.
  97. Cooke NE, Haddad JG. Vitamin D binding protein (Gc-globulin). Endocrine reviews. 1989;10(3):294-307.
  98. Bikle DD, Gee E, Halloran B, Haddad JG. Free 1,25-dihydroxyvitamin D levels in serum from normal subjects, pregnant subjects, and subjects with liver disease. The Journal of clinical investigation. 1984;74(6):1966-1971.
  99. Bikle DD, Siiteri PK, Ryzen E, Haddad JG. Serum protein binding of 1,25-dihydroxyvitamin D: a reevaluation by direct measurement of free metabolite levels. The Journal of clinical endocrinology and metabolism. 1985;61(5):969-975.
  100. Bikle DD, Gee E, Halloran B, Kowalski MA, Ryzen E, Haddad JG. Assessment of the free fraction of 25-hydroxyvitamin D in serum and its regulation by albumin and the vitamin D-binding protein. J Clin Endocrinol Metab. 1986;63(4):954-959.
  101. Bikle DD, Halloran BP, Gee E, Ryzen E, Haddad JG. Free 25-hydroxyvitamin D levels are normal in subjects with liver disease and reduced total 25-hydroxyvitamin D levels. The Journal of clinical investigation. 1986;78(3):748-752.
  102. Madden K, Feldman HA, Chun RF, Smith EM, Sullivan RM, Agan AA, Keisling SM, Panoskaltsis-Mortari A, Randolph AG. Critically Ill Children Have Low Vitamin D-Binding Protein, Influencing Bioavailability of Vitamin D. Ann Am Thorac Soc. 2015;12(11):1654-1661.
  103. Nielson CM, Jones KS, Chun RF, Jacobs JM, Wang Y, Hewison M, Adams JS, Swanson CM, Lee CG, Vanderschueren D, Pauwels S, Prentice A, Smith RD, Shi T, Gao Y, Schepmoes AA, Zmuda JM, Lapidus J, Cauley JA, Bouillon R, Schoenmakers I, Orwoll ES, Osteoporotic Fractures in Men Research G. Free 25-Hydroxyvitamin D: Impact of Vitamin D Binding Protein Assays on Racial-Genotypic Associations. The Journal of clinical endocrinology and metabolism. 2016;101(5):2226-2234.
  104. Pettifor JM, Bikle DD, Cavaleros M, Zachen D, Kamdar MC, Ross FP. Serum levels of free 1,25-dihydroxyvitamin D in vitamin D toxicity. Ann Intern Med. 1995;122(7):511-513.
  105. Safadi FF, Thornton P, Magiera H, Hollis BW, Gentile M, Haddad JG, Liebhaber SA, Cooke NE. Osteopathy and resistance to vitamin D toxicity in mice null for vitamin D binding protein. The Journal of clinical investigation. 1999;103(2):239-251.
  106. Zella LA, Shevde NK, Hollis BW, Cooke NE, Pike JW. Vitamin D-binding protein influences total circulating levels of 1,25-dihydroxyvitamin D3 but does not directly modulate the bioactive levels of the hormone in vivo. Endocrinology. 2008;149(7):3656-3667.
  107. Henderson CM, Fink SL, Bassyouni H, Argiropoulos B, Brown L, Laha TJ, Jackson KJ, Lewkonia R, Ferreira P, Hoofnagle AN, Marcadier JL. Vitamin D-Binding Protein Deficiency and Homozygous Deletion of the GC Gene. The New England journal of medicine. 2019;380(12):1150-1157.
  108. Bikle D, Bouillon R, Thadhani R, Schoenmakers I. Vitamin D metabolites in captivity? Should we measure free or total 25(OH)D to assess vitamin D status? The Journal of steroid biochemistry and molecular biology. 2017.
  109. Malmstroem S, Rejnmark L, Imboden JB, Shoback DM, Bikle DD. Current Assays to Determine Free 25-Hydroxyvitamin D in Serum. J AOAC Int. 2017.
  110. Nykjaer A, Dragun D, Walther D, Vorum H, Jacobsen C, Herz J, Melsen F, Christensen EI, Willnow TE. An endocytic pathway essential for renal uptake and activation of the steroid 25-(OH) vitamin D3. Cell. 1999;96(4):507-515.
  111. Arnaud J, Constans J. Affinity differences for vitamin D metabolites associated with the genetic isoforms of the human serum carrier protein (DBP). Hum Genet. 1993;92(2):183-188.
  112. Cooke NE, David EV. Serum vitamin D-binding protein is a third member of the albumin and alpha fetoprotein gene family. The Journal of clinical investigation. 1985;76(6):2420-2424.
  113. Cooke NE, Levan G, Szpirer J. The rat vitamin D binding protein (Gc-globulin) gene is syntenic with the rat albumin and alpha-fetoprotein genes on chromosome 14. Cytogenet Cell Genet. 1987;44(2-3):98-100.
  114. Guha C, Osawa M, Werner PA, Galbraith RM, Paddock GV. Regulation of human Gc (vitamin D--binding) protein levels: hormonal and cytokine control of gene expression in vitro. Hepatology. 1995;21(6):1675-1681.
  115. Lees A, Haddad JG, Lin S. Brevin and DBP comparison of the effects of two serum protein on actin assembly and disassembly. Biochemistry. 1984;23:3038-3047.
  116. Yamamoto N, Homma S, Haddad JG, Kowalski MA. Vitamin D3 binding protein required for in vitro activation of macrophages after alkylglycerol treatment of mouse peritoneal cells. Immunology. 1991;74(3):420-424.
  117. Schneider GB, Benis KA, Flay NW, Ireland RA, Popoff SN. Effects of vitamin D binding protein-macrophage activating factor (DBP- MAF) infusion on bone resorption in two osteopetrotic mutations. Bone. 1995;16(6):657-662.
  118. Safadi FF, Thornton P, Magiera H, Hollis BW, Gentile M, Haddad JG, Liebhaber SA, Cooke NE. Osteopathy and resistance to vitamin D toxicity in mice null for vitamin D binding protein. The Journal of clinical investigation. 1999;103(2):239-251.
  119. Haussler MR, Norman AW. Chromosomal receptor for a vitamin D metabolite. Proc Natl Acad Sci U S A. 1969;62(1):155-162.
  120. McDonnell DP, Mangelsdorf DJ, Pike JW, Haussler MR, O'Malley BW. Molecular cloning of complementary DNA encoding the avian receptor for vitamin D. Science. 1987;235(4793):1214-1217.
  121. Baker AR, McDonnell DP, Hughes M, Crisp TM, Mangelsdorf DJ, Haussler MR, Pike JW, Shine J, O'Malley BW. Cloning and expression of full-length cDNA encoding human vitamin D receptor. Proc Natl Acad Sci U S A. 1988;85(10):3294-3298.
  122. Hughes MR, Malloy PJ, Kieback DG, Kesterson RA, Pike JW, Feldman D, O'Malley BW. Point mutations in the human vitamin D receptor gene associated with hypocalcemic rickets. Science. 1988;242(4886):1702-1705.
  123. Yoshizawa T, Handa Y, Uematsu Y, Takeda S, Sekine K, Yoshihara Y, Kawakami T, Arioka K, Sato H, Uchiyama Y, Masushige S, Fukamizu A, Matsumoto T, Kato S. Mice lacking the vitamin D receptor exhibit impaired bone formation, uterine hypoplasia and growth retardation after weaning. Nat Genet. 1997;16(4):391-396.
  124. Li YC, Pirro AE, Amling M, Delling G, Baron R, Bronson R, Demay MB. Targeted ablation of the vitamin D receptor: an animal model of vitamin D-dependent rickets type II with alopecia. Proc Natl Acad Sci U S A. 1997;94(18):9831-9835.
  125. Walters MR. Newly identified actions of the vitamin D endocrine system. Endocr Rev. 1992;13(4):719-764.
  126. Harris SS, Eccleshall TR, Gross C, Dawson-Hughes B, Feldman D. The vitamin D receptor start codon polymorphism (FokI) and bone mineral density in premenopausal American black and white women. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1997;12(7):1043-1048.
  127. Rachez C, Gamble M, Chang CP, Atkins GB, Lazar MA, Freedman LP. The DRIP complex and SRC-1/p160 coactivators share similar nuclear receptor binding determinants but constitute functionally distinct complexes. Mol Cell Biol. 2000;20(8):2718-2726.
  128. Makowski A, Brzostek S, Cohen RN, Hollenberg AN. Determination of nuclear receptor corepressor interactions with the thyroid hormone receptor. Molecular endocrinology (Baltimore, Md). 2003;17(2):273-286.
  129. Rochel N, Wurtz JM, Mitschler A, Klaholz B, Moras D. The crystal structure of the nuclear receptor for vitamin D bound to its natural ligand. Mol Cell. 2000;5(1):173-179.
  130. Orlov I, Rochel N, Moras D, Klaholz BP. Structure of the full human RXR/VDR nuclear receptor heterodimer complex with its DR3 target DNA. The EMBO journal. 2012;31(2):291-300.
  131. Wurtz JM, Bourguet W, Renaud JP, Vivat V, Chambon P, Moras D, Gronemeyer H. A canonical structure for the ligand-binding domain of nuclear receptors. Nat Struct Biol. 1996;3(1):87-94.
  132. Chen S, Cui J, Nakamura K, Ribeiro RC, West BL, Gardner DG. Coactivator-vitamin D receptor interactions mediate inhibition of the atrial natriuretic peptide promoter. The Journal of biological chemistry.275(20):15039-15048.
  133. McKenna NJ, Lanz RB, O'Malley BW. Nuclear receptor coregulators: cellular and molecular biology. Endocr Rev. 1999;20(3):321-344.
  134. Polly P, Herdick M, Moehren U, Baniahmad A, Heinzel T, Carlberg C. VDR-Alien: a novel, DNA-selective vitamin D(3) receptor-corepressor partnership. Faseb J. 2000;14(10):1455-1463.
  135. Xie Z, Chang S, Oda Y, Bikle DD. Hairless suppresses vitamin D receptor transactivation in human keratinocytes. Endocrinology. 2006;147(1):314-323.
  136. Hsieh JC, Sisk JM, Jurutka PW, Haussler CA, Slater SA, Haussler MR, Thompson CC. Physical and functional interaction between the vitamin D receptor and hairless corepressor, two proteins required for hair cycling. J Biol Chem. 2003;278(40):38665-38674.
  137. Bikle DD, Elalieh H, Chang S, Xie Z, Sundberg JP. Development and progression of alopecia in the vitamin D receptor null mouse. J Cell Physiol. 2006;207:340-353.
  138. Leo C, Chen JD. The SRC family of nuclear receptor coactivators. Genes. 2000;245:1-11.
  139. Rachez C, Lemon BD, Suldan Z, Bromleigh V, Gamble M, Naar AM, Erdjument-Bromage H, Tempst P, Freedman LP. Ligand-dependent transcription activation by nuclear receptors requires the DRIP complex. Nature. 1999;398(6730):824-828.
  140. Teichert A, Arnold LA, Otieno S, Oda Y, Augustinaite I, Geistlinger TR, Kriwacki RW, Guy RK, Bikle DD. Quantification of the vitamin D receptor-coregulator interaction. Biochemistry. 2009;48(7):1454-1461.
  141. Oda Y. Abstract 809. Journal of Investigative Dermatology. 2001;116.
  142. Hawker NP, Pennypacker SD, Chang SM, Bikle DD. Regulation of Human Epidermal Keratinocyte Differentiation by the Vitamin D Receptor and its Coactivators DRIP205, SRC2, and SRC3. The Journal of investigative dermatology. 2007;127:874.
  143. Schauber J, Oda Y, Buchau AS, Yun QC, Steinmeyer A, Zugel U, Bikle DD, Gallo RL. Histone acetylation in keratinocytes enables control of the expression of cathelicidin and CD14 by 1,25-dihydroxyvitamin D3. J Invest Dermatol. 2008;128(4):816-824.
  144. Oda Y, Uchida Y, Moradian S, Crumrine D, Elias P, Bikle D. Vitamin D receptor and coactivators SRC 2 and 3 regulate epidermis-specific sphingolipid production and permeability barrier formation. J Invest Dermatol. 2009;129(6):1367-1378.
  145. Whyte WA, Orlando DA, Hnisz D, Abraham BJ, Lin CY, Kagey MH, Rahl PB, Lee TI, Young RA. Master transcription factors and mediator establish super-enhancers at key cell identity genes. Cell. 2013;153(2):307-319.
  146. Yanagisawa J, Yanagi Y, Masuhiro Y, Suzawa M, Watanabe M, Kashiwagi K, Toriyabe T, Kawabata M, Miyazono K, Kato S. Convergence of transforming growth factor-beta and vitamin D signaling pathways on SMAD transcriptional coactivators. Science. 1999;283(5406):1317-1321.
  147. Hsieh JC, Jurutka PW, Nakajima S, Galligan MA, Haussler CA, Shimizu Y, Shimizu N, Whitfield GK, Haussler MR. Phosphorylation of the human vitamin D receptor by protein kinase C. Biochemical and functional evaluation of the serine 51 recognition site. The Journal of biological chemistry. 1993;268(20):15118-15126.
  148. Palmer HG, Gonzalez-Sancho JM, Espada J, Berciano MT, Puig I, Baulida J, Quintanilla M, Cano A, de Herreros AG, Lafarga M, Munoz A. Vitamin D(3) promotes the differentiation of colon carcinoma cells by the induction of E-cadherin and the inhibition of beta-catenin signaling. The Journal of cell biology. 2001;154(2):369-387.
  149. Palmer HG, Anjos-Afonso F, Carmeliet G, Takeda H, Watt FM. The vitamin D receptor is a Wnt effector that controls hair follicle differentiation and specifies tumor type in adult epidermis. PLoS One. 2008;3(1):e1483.
  150. Kurokawa R, Yu VC, Naar A, Kyakumoto S, Han Z, Silverman S, Rosenfeld MG, Glass CK. Differential orientations of the DNA-binding domain and carboxy- terminal dimerization interface regulate binding site selection by nuclear receptor heterodimers. Genes Dev. 1993;7(7B):1423-1435.
  151. Prufer K, Racz A, Lin GC, Barsony J. Dimerization with retinoid X receptors promotes nuclear localization and subnuclear targeting of vitamin D receptors. The Journal of biological chemistry. 2000;275(52):41114-41123.
  152. Xie Z, Bikle DD. Cloning of the human phospholipase C-gamma1 promoter and identification of a DR6-type vitamin D-responsive element. The Journal of biological chemistry. 1997;272(10):6573-6577.
  153. Schrader M, Muller KM, Nayeri S, Kahlen JP, Carlberg C. Vitamin D3-thyroid hormone receptor heterodimer polarity directs ligand sensitivity of transactivation. Nature. 1994;370(6488):382-386.
  154. Lemon BD, Freedman LP. Selective effects of ligands on vitamin D3 receptor- and retinoid X receptor-mediated gene activation in vivo. Mol Cell Biol. 1996;16(3):1006-1016.
  155. Pike JW, Meyer MB. The vitamin D receptor: new paradigms for the regulation of gene expression by 1,25-dihydroxyvitamin D3. Rheumatic diseases clinics of North America. 2012;38(1):13-27.
  156. Carlberg C, Seuter S, Heikkinen S. The first genome-wide view of vitamin D receptor locations and their mechanistic implications. Anticancer research. 2012;32(1):271-282.
  157. MacDonald PN, Dowd DR, Nakajima S, Galligan MA, Reeder MC, Haussler CA, Ozato K, Haussler MR. Retinoid X receptors stimulate and 9-cis retinoic acid inhibits 1,25- dihydroxyvitamin D3-activated expression of the rat osteocalcin gene. Mol Cell Biol. 1993;13(9):5907-5917.
  158. Kang S, Li XY, Duell EA, Voorhees JJ. The retinoid X receptor agonist 9-cis-retinoic acid and the 24- hydroxylase inhibitor ketoconazole increase activity of 1,25- dihydroxyvitamin D3 in human skin in vivo. The Journal of investigative dermatology. 1997;108(4):513-518.
  159. Gill RK, Christakos S. Identification of sequence elements in mouse calbindin-D28k gene that confer 1,25-dihydroxyvitamin D3- and butyrate-inducible responses. Proc Natl Acad Sci U S A. 1993;90(7):2984-2988.
  160. Liu SM, Koszewski N, Lupez M, Malluche HH, Olivera A, Russell J. Characterization of a response element in the 5'-flanking region of the avian (chicken) PTH gene that mediates negative regulation of gene transcription by 1,25-dihydroxyvitamin D3 and binds the vitamin D3 receptor. Mol Endocrinol. 1996;10(2):206-215.
  161. Kremer R, Sebag M, Champigny C, Meerovitch K, Hendy GN, White J, Goltzman D. Identification and characterization of 1,25-dihydroxyvitamin D3- responsive repressor sequences in the rat parathyroid hormone-related peptide gene. The Journal of biological chemistry. 1996;271(27):16310-16316.
  162. Alroy I, Towers TL, Freedman LP. Transcriptional repression of the interleukin-2 gene by vitamin D3: direct inhibition of NFATp/AP-1 complex formation by a nuclear hormone receptor. Mol Cell Biol. 1995;15(10):5789-5799.
  163. Morley P, Whitfield JF, Vanderhyden BC, Tsang BK, Schwartz JL. A new, nongenomic estrogen action: the rapid release of intracellular calcium. Endocrinology. 1992;131(3):1305-1312.
  164. Wistrom CA, Meizel S. Evidence suggesting involvement of a unique human sperm steroid receptor/Cl- channel complex in the progesterone-initiated acrosome reaction. Dev Biol. 1993;159(2):679-690.
  165. Koenig H, Fan CC, Goldstone AD, Lu CY, Trout JJ. Polyamines mediate androgenic stimulation of calcium fluxes and membrane transport in rat heart myocytes. Circ Res. 1989;64(3):415-426.
  166. Orchinik M, Murray TF, Moore FL. A corticosteroid receptor in neuronal membranes. Science. 1991;252(5014):1848-1851.
  167. Segal J. Thyroid hormone action at the level of the plasma membrane. Thyroid. 1990;1(1):83-87.
  168. Caffrey JM, Farach-Carson MC. Vitamin D3 metabolites modulate dihydropyridine-sensitive calcium currents in clonal rat osteosarcoma cells. The Journal of biological chemistry. 1989;264(34):20265-20274.
  169. Baran DT, Sorensen AM, Honeyman TW, Ray R, Holick MF. 1 alpha,25-dihydroxyvitamin D3-induced increments in hepatocyte cytosolic calcium and lysophosphatidylinositol: inhibition by pertussis toxin and 1 beta,25-dihydroxyvitamin D3. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1990;5(5):517-524.
  170. Morelli S, de Boland AR, Boland RL. Generation of inositol phosphates, diacylglycerol and calcium fluxes in myoblasts treated with 1,25-dihydroxyvitamin D3. Biochem J. 1993;289(Pt 3):675-679.
  171. Wali RK, Baum CL, Sitrin MD, Brasitus TA. 1,25(OH)2 vitamin D3 stimulates membrane phosphoinositide turnover, activates protein kinase C, and increases cytosolic calcium in rat colonic epithelium. The Journal of clinical investigation. 1990;85(4):1296-1303.
  172. Khare S, Bolt MJ, Wali RK, Skarosi SF, Roy HK, Niedziela S, Scaglione-Sewell B, Aquino B, Abraham C, Sitrin MD, Brasitus TA, Bissonnette M. 1,25 dihydroxyvitamin D3 stimulates phospholipase C-gamma in rat colonocytes: role of c-Src in PLC-gamma activation. The Journal of clinical investigation. 1997;99(8):1831-1841.
  173. Nemere I, Yoshimoto Y, Norman AW. Calcium transport in perfused duodena from normal chicks: enhancement within fourteen minutes of exposure to 1,25-dihydroxyvitamin D3. Endocrinology. 1984;115(4):1476-1483.
  174. Nemere I, Norman AW. Rapid action of 1,25-dihydroxyvitamin D3 on calcium transport in perfused chick duodenum: effect of inhibitors. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1987;2(2):99-107.
  175. de Boland AR, Norman AW. Influx of extracellular calcium mediates 1,25-dihydroxyvitamin D3- dependent transcaltachia (the rapid stimulation of duodenal Ca2+ transport). Endocrinology. 1990;127(5):2475-2480.
  176. de Boland AR, Norman A. Evidence for involvement of protein kinase C and cyclic adenosine 3',5' monophosphate-dependent protein kinase in the 1,25-dihydroxy-vitamin D3- mediated rapid stimulation of intestinal calcium transport, (transcaltachia). Endocrinology. 1990;127(1):39-45.
  177. de Boland AR, Nemere I, Norman AW. Ca2(+)-channel agonist BAY K8644 mimics 1,25(OH)2-vitamin D3 rapid enhancement of Ca2+ transport in chick perfused duodenum. Biochem Biophys Res Commun. 1990;166(1):217-222.
  178. Nemere I, Dormanen MC, Hammond MW, Okamura WH, Norman AW. Identification of a specific binding protein for 1 alpha,25- dihydroxyvitamin D3 in basal-lateral membranes of chick intestinal epithelium and relationship to transcaltachia. The Journal of biological chemistry. 1994;269(38):23750-23756.
  179. Nemere I, Safford SE, Rohe B, DeSouza MM, Farach-Carson MC. Identification and characterization of 1,25D3-membrane-associated rapid response, steroid (1,25D3-MARRS) binding protein. The Journal of steroid biochemistry and molecular biology. 2004;89-90(1-5):281-285.
  180. Pedrozo HA, Schwartz Z, Rimes S, Sylvia VL, Nemere I, Posner GH, Dean DD, Boyan BD. Physiological importance of the 1,25(OH)2D3 membrane receptor and evidence for a membrane receptor specific for 24,25(OH)2D3. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1999;14(6):856-867.
  181. Khanal RC, Peters TM, Smith NM, Nemere I. Membrane receptor-initiated signaling in 1,25(OH)2D3-stimulated calcium uptake in intestinal epithelial cells. Journal of cellular biochemistry. 2008;105(4):1109-1116.
  182. Norman AW, Okamura WH, Farach-Carson MC, Allewaert K, Branisteanu D, Nemere I, Muralidharan KR, Bouillon R. Structure-function studies of 1,25-dihydroxyvitamin D3 and the vitamin D endocrine system. 1,25-dihydroxy-pentadeuterio-previtamin D3 (as a 6- s-cis analog) stimulates nongenomic but not genomic biological responses. The Journal of biological chemistry. 1993;268(19):13811-13819.
  183. Sequeira VB, Rybchyn MS, Tongkao-On W, Gordon-Thomson C, Malloy PJ, Nemere I, Norman AW, Reeve VE, Halliday GM, Feldman D, Mason RS. The role of the vitamin D receptor and ERp57 in photoprotection by 1alpha,25-dihydroxyvitamin D3. Molecular endocrinology (Baltimore, Md). 2012;26(4):574-582.
  184. Mizwicki MT, Keidel D, Bula CM, Bishop JE, Zanello LP, Wurtz JM, Moras D, Norman AW. Identification of an alternative ligand-binding pocket in the nuclear vitamin D receptor and its functional importance in 1alpha,25(OH)2-vitamin D3 signaling. Proceedings of the National Academy of Sciences of the United States of America. 2004;101(35):12876-12881.
  185. Schachter D, Rosen S. Active transport of Ca45 by the small intestine and its dependence on vitamin D. Am J Physiol. 1959;196:357-362.
  186. Wasserman RH, Kallfelz FA, Comar CL. Active transport of calcium by rat duodenum in vivo. Science. 1961;133:883-884.
  187. Bikle DD. Regulation of intestinal calcium transport by vitamin D [1,25(OH)2]:role of membrane structure. In: Membrane transport and information storage. New York: Wiley-Liss.
  188. Wasserman RH, Fullmer CS. Vitamin D and intestinal calcium transport: facts, speculations and hypotheses. J Nutr. 1995;125(7 Suppl):1971S-1979S.
  189. Wongdee K, Chanpaisaeng K, Teerapornpuntakit J, Charoenphandhu N. Intestinal Calcium Absorption. Compr Physiol. 2021;11(3):2047-2073.
  190. Bikle DD, Shoback DM, Munson S. 1,25-dihydroxyvitamin D increases the intracellular free calcium concentration of duodenal epithelial cells. In: Vitamin D: Chemial, biochemical and clinical update. New York: Walter de Gruyter.
  191. Morrissey RL, Zolock DT, Mellick PW, Bikle DD. Influence of cycloheximide and 1,25-dihydroxyvitamin D3 on mitochondrial and vesicle mineralization in the intestine. Cell Calcium. 1980;1:69-79.
  192. Davis WL, Hagler HK, Jones RG, Farmer GR, Cooper OJ, Martin JH, Bridges GE, Goodman DB. Cryofixation, ultracryomicrotomy, and X-ray microanalysis of enterocytes from chick duodenum: vitamin-D-induced formation of an apical tubulovesicular system. Anat Rec. 1991;229(2):227-239.
  193. Nemere I, Leathers V, Norman AW. 1,25-Dihydroxyvitamin D3-mediated intestinal calcium transport. Biochemical identification of lysosomes containing calcium and calcium- binding protein (calbindin-D28K). The Journal of biological chemistry. 1986;261(34):16106-16114.
  194. Max EE, Goodman DB, Rasmussen H. Purification and characterization of chick intestine brush border membrane. Effects of 1alpha(OH) vitamin D3 treatment. Biochimica et biophysica acta. 1978;511(2):224-239.
  195. Brasitus TA, Dudeja PK, Eby B, Lau K. Correction by 1,25(OH)2D3 of the abnormal fluidity and lipid composition of enterocyte brush border membranes in vitamin D-deprived rats. Journal of Biological Chemistry. 1981;256:3354-3360.
  196. Matsumoto T, Fontaine O, Rasmussen H. Effect of 1,25-dihydroxyvitamin D3 on phospholipid metabolism in chick duodenal mucosal cell. Relationship to its mechanism of action. The Journal of biological chemistry. 1981;256(7):3354-3360.
  197. Bikle DD, Whitney J, Munson S. The relationship of membrane fluidity to calcium flux in chick intestinal brush border membranes. Endocrinology. 1984;114(1):260-267.
  198. Peng JB, Chen XZ, Berger UV, Vassilev PM, Tsukaguchi H, Brown EM, Hediger MA. Molecular cloning and characterization of a channel-like transporter mediating intestinal calcium absorption. The Journal of biological chemistry. 1999;274(32):22739-22746.
  199. Hoenderop JG, van der Kemp AW, Hartog A, van de Graaf SF, van Os CH, Willems PH, Bindels RJ. Molecular identification of the apical Ca2+ channel in 1, 25- dihydroxyvitamin D3-responsive epithelia. The Journal of biological chemistry. 1999;274(13):8375-8378.
  200. Peng JB, Chen XZ, Berger UV, Vassilev PM, Brown EM, Hediger MA. A rat kidney-specific calcium transporter in the distal nephron. The Journal of biological chemistry. 2000;275(36):28186-28194.
  201. Muller D, Hoenderop JG, Meij IC, van den Heuvel LP, Knoers NV, den Hollander AI, Eggert P, Garcia-Nieto V, Claverie-Martin F, Bindels RJ. Molecular cloning, tissue distribution, and chromosomal mapping of the human epithelial Ca2+ channel (ECAC1). Genomics. 2000;67(1):48-53.
  202. Peng JB, Brown EM, Hediger MA. Structural conservation of the genes encoding cat1, cat2, and related cation channels. Genomics. 2001;76(1-3):99-109.
  203. Song Y, Peng X, Porta A, Takanaga H, Peng JB, Hediger MA, Fleet JC, Christakos S. Calcium transporter 1 and epithelial calcium channel messenger ribonucleic acid are differentially regulated by 1,25 dihydroxyvitamin D3 in the intestine and kidney of mice. Endocrinology. 2003;144(9):3885-3894.
  204. Bianco SD, Peng JB, Takanaga H, Suzuki Y, Crescenzi A, Kos CH, Zhuang L, Freeman MR, Gouveia CH, Wu J, Luo H, Mauro T, Brown EM, Hediger MA. Marked disturbance of calcium homeostasis in mice with targeted disruption of the Trpv6 calcium channel gene. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2007;22(2):274-285.
  205. Sampson HW, Matthews JL, Martin JH, Kunin AS. An electron microscopic localization of calcium in the small intestine of normal, rachitic, and vitamin-D-treated rats. Calcif Tissue Res. 1970;5(4):305-316.
  206. Schaefer HJ. Ultrastructure and ion distribution of the intestinal cell during experimental vitamin D deficiency rickets in rats. Virchows Archiv. 1973;359:111-123.
  207. Chandra S, Fullmer CS, Smith CA, Wasserman RH, Morrison GH. Ion microscopic imaging of calcium transport in the intestinal tissue of vitamin D-deficient and vitamin D-replete chickens: a 44Ca stable isotope study. Proceedings of the National Academy of Sciences of the United States of America. 1990;87(15):5715-5719.
  208. Bikle DD, Zolock DT, Morrissey RL, Herman RH. Independence of 1,25-dihydroxyvitamin D3-mediated calcium transport from de novo RNA and protein synthesis. The Journal of biological chemistry. 1978;253(2):484-488.
  209. Bikle DD, Morrissey RL, Zolock DT. The mechanism of action of vitamin D in the intestine. Am J Clin Nutr. 1979;32(11):2322-2328.
  210. Glenney JR, Jr., Glenney P. Comparison of Ca++-regulated events in the intestinal brush border. J Cell Biol. 1985;100(3):754-763.
  211. Bikle DD, Gee E. Free, and not total, 1,25-dihydroxyvitamin D regulates 25- hydroxyvitamin D metabolism by keratinocytes. Endocrinology. 1989;124(2):649-654.
  212. Bikle DD, Munson S, Chafouleas J. Calmodulin may mediate 1,25-dihydroxyvitamin D-stimulated intestinal calcium transport. FEBS Lett. 1984;174(1):30-33.
  213. Howe CL, Keller TC, 3rd, Mooseker MS, Wasserman RH. Analysis of cytoskeletal proteins and Ca2+-dependent regulation of structure in intestinal brush borders from rachitic chicks. Proc Natl Acad Sci U S A. 1982;79(4):1134-1138.
  214. Bikle DD, Munson S. The villus gradient of brush border membrane calmodulin and the calcium-independent calmodulin-binding protein parallels that of calcium-accumulating ability. Endocrinology. 1986;118(2):727-732.
  215. Drenckhahn D, Dermietzel R. Organization of the actin filament cytoskeleton in the intestinal brush border: a quantitative and qualitative immunoelectron microscope study. J Cell Biol. 1988;107(3):1037-1048.
  216. Munson S, Wang Y, Chang W, Bikle DD. Myosin 1a Regulates Osteoblast Differentiation Independent of Intestinal Calcium Transport. J Endocr Soc. 2019;3(11):1993-2011.
  217. Wasserman RH, Taylor AN. Vitamin D-dependent calcium-binding protein. Response to some physiological and nutritional variables. The Journal of biological chemistry. 1968;243(14):3987-3993.
  218. Lee GS, Lee KY, Choi KC, Ryu YH, Paik SG, Oh GT, Jeung EB. Phenotype of a calbindin-D9k gene knockout is compensated for by the induction of other calcium transporter genes in a mouse model. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2007;22(12):1968-1978.
  219. Ghijsen WE, De Jong MD, Van Os CH. ATP-dependent calcium transport and its correlation with Ca2+ -ATPase activity in basolateral plasma membranes of rat duodenum. Biochim Biophys Acta. 1982;689(2):327-336.
  220. Cai Q, Chandler JS, Wasserman RH, Kumar R, Penniston JT. Vitamin D and adaptation to dietary calcium and phosphate deficiencies increase intestinal plasma membrane calcium pump gene expression. Proc Natl Acad Sci U S A. 1993;90(4):1345-1349.
  221. Wasserman RH, Chandler JS, Meyer SA, Smith CA, Brindak ME, Fullmer CS, Penniston JT, Kumar R. Intestinal calcium transport and calcium extrusion processes at the basolateral membrane. J Nutr. 1992;122(3 Suppl):662-671.
  222. Ryan ZC, Craig TA, Filoteo AG, Westendorf JJ, Cartwright EJ, Neyses L, Strehler EE, Kumar R. Deletion of the intestinal plasma membrane calcium pump, isoform 1, Atp2b1, in mice is associated with decreased bone mineral density and impaired responsiveness to 1, 25-dihydroxyvitamin D3. Biochem Biophys Res Commun. 2015;467(1):152-156.
  223. Liu C, Weng H, Chen L, Yang S, Wang H, Debnath G, Guo X, Wu L, Mohandas N, An X. Impaired intestinal calcium absorption in protein 4.1R-deficient mice due to altered expression of plasma membrane calcium ATPase 1b (PMCA1b). The Journal of biological chemistry. 2013;288(16):11407-11415.
  224. Hoenderop JG, Nilius B, Bindels RJ. Calcium absorption across epithelia. Physiol Rev. 2005;85(1):373-422.
  225. Charoenphandhu N, Krishnamra N. Prolactin is an important regulator of intestinal calcium transport. Can J Physiol Pharmacol. 2007;85(6):569-581.
  226. Turner JR, Rill BK, Carlson SL, Carnes D, Kerner R, Mrsny RJ, Madara JL. Physiological regulation of epithelial tight junctions is associated with myosin light-chain phosphorylation. Am J Physiol. 1997;273(4):C1378-1385.
  227. Fujita H, Chiba H, Yokozaki H, Sakai N, Sugimoto K, Wada T, Kojima T, Yamashita T, Sawada N. Differential expression and subcellular localization of claudin-7, -8, -12, -13, and -15 along the mouse intestine. J Histochem Cytochem. 2006;54(8):933-944.
  228. Van Itallie CM, Fanning AS, Anderson JM. Reversal of charge selectivity in cation or anion-selective epithelial lines by expression of different claudins. Am J Physiol Renal Physiol. 2003;285(6):F1078-1084.
  229. Fujita H, Sugimoto K, Inatomi S, Maeda T, Osanai M, Uchiyama Y, Yamamoto Y, Wada T, Kojima T, Yokozaki H, Yamashita T, Kato S, Sawada N, Chiba H. Tight junction proteins claudin-2 and -12 are critical for vitamin D-dependent Ca2+ absorption between enterocytes. Mol Biol Cell. 2008;19(5):1912-1921.
  230. Charoenphandhu N, Nakkrasae LI, Kraidith K, Teerapornpuntakit J, Thongchote K, Thongon N, Krishnamra N. Two-step stimulation of intestinal Ca(2+) absorption during lactation by long-term prolactin exposure and suckling-induced prolactin surge. Am J Physiol Endocrinol Metab. 2009;297(3):E609-619.
  231. Harrison HE, Harrison HC. Intestinal transport of phosphate: Action of vitamin D, calcium, and potassium. American Journal of Physiology. 1961;201:1007-1012.
  232. Peterlik M, Wasserman RH. Regulation by vitamin D of intestinal phosphate absorption. Horm Metab Res. 1980;12(5):216-219.
  233. Xu H, Bai L, Collins JF, Ghishan FK. Molecular cloning, functional characterization, tissue distribution, and chromosomal localization of a human, small intestinal sodium-phosphate (Na+-Pi) transporter (SLC34A2). Genomics. 1999;62(2):281-284.
  234. Xu H, Bai L, Collins JF, Ghishan FK. Age-dependent regulation of rat intestinal type IIb sodium-phosphate cotransporter by 1,25-(OH)(2) vitamin D(3). American journal of physiology Cell physiology. 2002;282(3):C487-493.
  235. Fuchs R, Peterlik M. Vitamin D-induced transepithelial phosphate and calcium transport by chick jejunum. Effect of microfilamentous and microtubular inhibitors. FEBS Lett. 1979;100(2):357-359.
  236. Narbaitz R, Stumpf WE, Sar M, Huang S, DeLuca HF. Autoradiographic localization of target cells for 1 alpha, 25- dihydroxyvitamin D3 in bones from fetal rats. Calcif Tissue Int. 1983;35(2):177-182.
  237. Boivin G, Mesguich P, Pike JW, Bouillon R, Meunier PJ, Haussler MR, Dubois PM, Morel G. Ultrastructural immunocytochemical localization of endogenous 1,25- dihydroxyvitamin D3 and its receptors in osteoblasts and osteocytes from neonatal mouse and rat calvaria. Bone Miner. 1987;3(2):125-136.
  238. Nakamichi Y, Udagawa N, Horibe K, Mizoguchi T, Yamamoto Y, Nakamura T, Hosoya A, Kato S, Suda T, Takahashi N. VDR in Osteoblast-Lineage Cells Primarily Mediates Vitamin D Treatment-Induced Increase in Bone Mass by Suppressing Bone Resorption. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2017;32(6):1297-1308.
  239. Panda DK, Miao D, Bolivar I, Li J, Huo R, Hendy GN, Goltzman D. Inactivation of the 25-hydroxyvitamin D 1alpha-hydroxylase and vitamin D receptor demonstrates independent and interdependent effects of calcium and vitamin D on skeletal and mineral homeostasis. The Journal of biological chemistry. 2004;279(16):16754-16766.
  240. Chenu C, Valentin-Opran A, Chavassieux P, Saez S, Meunier PJ, Delmas PD. Insulin like growth factor I hormonal regulation by growth hormone and by 1,25(OH)2D3 and activity on human osteoblast-like cells in short- term cultures. Bone. 1990;11(2):81-86.
  241. Kurose H, Yamaoka K, Okada S, Nakajima S, Seino Y. 1,25-Dihydroxyvitamin D3 [1,25-(OH)2D3] increases insulin-like growth factor I (IGF-I) receptors in clonal osteoblastic cells. Study on interaction of IGF-I and 1,25-(OH)2D3. Endocrinology. 1990;126(4):2088-2094.
  242. Scharla SH, Strong DD, Mohan S, Baylink DJ, Linkhart TA. 1,25-Dihydroxyvitamin D3 differentially regulates the production of insulin-like growth factor I (IGF-I) and IGF-binding protein-4 in mouse osteoblasts. Endocrinology. 1991;129(6):3139-3146.
  243. Moriwake T, Tanaka H, Kanzaki S, Higuchi J, Seino Y. 1,25-Dihydroxyvitamin D3 stimulates the secretion of insulin-like growth factor binding protein 3 (IGFBP-3) by cultured human osteosarcoma cells. Endocrinology. 1992;130(2):1071-1073.
  244. Sato T, Ono T, Tuan RS. 1,25-Dihydroxy vitamin D3 stimulation of TGF-beta expression in chick embryonic calvarial bone. Differentiation. 1993;52(2):139-150.
  245. Wang DS, Yamazaki K, Nohtomi K, Shizume K, Ohsumi K, Shibuya M, Demura H, Sato K. Increase of vascular endothelial growth factor mRNA expression by 1,25- dihydroxyvitamin D3 in human osteoblast-like cells. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1996;11(4):472-479.
  246. Lacey DL, Grosso LE, Moser SA, Erdmann J, Tan HL, Pacifici R, Villareal DT. IL-1-induced murine osteoblast IL-6 production is mediated by the type 1 IL-1 receptor and is increased by 1,25 dihydroxyvitamin D3. The Journal of clinical investigation. 1993;91(4):1731-1742.
  247. Lacey DL, Erdmann JM, Tan HL, Ohara J. Murine osteoblast interleukin 4 receptor expression: upregulation by 1,25 dihydroxyvitamin D3. Journal of cellular biochemistry. 1993;53(2):122-134.
  248. Nambi P, Wu HL, Lipshutz D, Prabhakar U. Identification and characterization of endothelin receptors on rat osteoblastic osteosarcoma cells: down-regulation by 1,25-dihydroxy- vitamin D3. Mol Pharmacol. 1995;47(2):266-271.
  249. Zhou X, von der Mark K, Henry S, Norton W, Adams H, de Crombrugghe B. Chondrocytes transdifferentiate into osteoblasts in endochondral bone during development, postnatal growth and fracture healing in mice. PLoS Genet. 2014;10(12):e1004820.
  250. Johnson JA, Grande JP, Roche PC, Kumar R. Ontogeny of the 1,25-dihydroxyvitamin D3 receptor in fetal rat bone. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1996;11(1):56-61.
  251. Miller SC, Halloran BP, DeLuca HF, Lee WSS. Studies on the role of vitamin D in early skeletal development, mineralization, and growth in rats. Calcif Tissue Int. 1983;35:455-460.
  252. Kyeyune-Nyombi E, Lau KH, Baylink DJ, Strong DD. 1,25-Dihydroxyvitamin D3 stimulates both alkaline phosphatase gene transcription and mRNA stability in human bone cells. Arch Biochem Biophys. 1991;291(2):316-325.
  253. Irving JT, Wuthier RE. Histochemistry and biochemistry of calcification with special reference to the role of lipids. Clin Orthop. 1968;56:237-260.
  254. Howell DS, Marquez JF, Pita JC. The nature of phospholipids in normal and rachitic costochondral plates. Arthritis Rheum. 1965;8(6):1039-1046.
  255. Dean DD, Boyan BD, Muniz OE, Howell DS, Schwartz Z. Vitamin D metabolites regulate matrix vesicle metalloproteinase content in a cell maturation-dependent manner. Calcif Tissue Int. 1996;59(2):109-116.
  256. Roughley PJ, Dickson IR. A comparison of proteoglycan from chick cartilage of different types and a study of the effect of vitamin D on proteoglycan structure. Connect Tissue Res. 1986;14(3):187-197.
  257. Plachot JJ, Du Bois MB, Halpern S, Cournot-Witmer G, Garabedian M, Balsan S. In vitro action of 1,25-dihydroxycholecalciferol and 24,25- dihydroxycholecalciferol on matrix organization and mineral distribution in rabbit growth plate. Metab Bone Dis Relat Res. 1982;4(2):135-142.
  258. Boyan BD, Schwartz Z, Carnes DL, Jr., Ramirez V. The effects of vitamin D metabolites on the plasma and matrix vesicle membranes of growth and resting cartilage cells in vitro. Endocrinology. 1988;122(6):2851-2860.
  259. Schwartz Z, Boyan B. The effects of vitamin D metabolites on phospholipase A2 activity of growth zone and resting zone cartilage cells in vitro. Endocrinology. 1988;122(5):2191-2198.
  260. Swain LD, Schwartz Z, Caulfield K, Brooks BP, Boyan BD. Nongenomic regulation of chondrocyte membrane fluidity by 1,25-(OH)2D3 and 24,25-(OH)2D3 is dependent on cell maturation. Bone. 1993;14(4):609-617.
  261. Sylvia VL, Schwartz Z, Schuman L, Morgan RT, Mackey S, Gomez R, Boyan BD. Maturation-dependent regulation of protein kinase C activity by vitamin D3 metabolites in chondrocyte cultures. J Cell Physiol. 1993;157(2):271-278.
  262. Boyan BD, Chen J, Schwartz Z. Mechanism of Pdia3-dependent 1alpha,25-dihydroxy vitamin D3 signaling in musculoskeletal cells. Steroids. 2012;77(10):892-896.
  263. Owen TA, Aronow MS, Barone LM, Bettencourt B, Stein GS, Lian JB. Pleiotropic effects of vitamin D on osteoblast gene expression are related to the proliferative and differentiated state of the bone cell phenotype: dependency upon basal levels of gene expression, duration of exposure, and bone matrix competency in normal rat osteoblast cultures. Endocrinology. 1991;128(3):1496-1504.
  264. Lian J, Stewart C, Puchacz E, Mackowiak S, Shalhoub V, Collart D, Zambetti G, Stein G. Structure of the rat osteocalcin gene and regulation of vitamin D- dependent expression. Proc Natl Acad Sci U S A. 1989;86(4):1143-1147.
  265. Manolagas SC, Burton DW, Deftos LJ. 1,25-Dihydroxyvitamin D3 stimulates the alkaline phosphatase activity of osteoblast-like cells. The Journal of biological chemistry. 1981;256(14):7115-7117.
  266. Rowe DW, Kream BE. Regulation of collagen synthesis in fetal rat calvaria by 1,25- dihydroxyvitamin D3. The Journal of biological chemistry. 1982;257(14):8009-8015.
  267. Prince CW, Butler WT. 1,25-Dihydroxyvitamin D3 regulates the biosynthesis of osteopontin, a bone-derived cell attachment protein, in clonal osteoblast-like osteosarcoma cells. Coll Relat Res. 1987;7(4):305-313.
  268. Demay MB, Gerardi JM, DeLuca HF, Kronenberg HM. DNA sequences in the rat osteocalcin gene that bind the 1,25- dihydroxyvitamin D3 receptor and confer responsiveness to 1,25- dihydroxyvitamin D3. Proc Natl Acad Sci U S A. 1990;87(1):369-373.
  269. Kerner SA, Scott RA, Pike JW. Sequence elements in the human osteocalcin gene confer basal activation and inducible response to hormonal vitamin D3. Proceedings of the National Academy of Sciences of the United States of America. 1989;86(12):4455-4459.
  270. Noda M, Vogel RL, Craig AM, Prahl J, DeLuca HF, Denhardt DT. Identification of a DNA sequence responsible for binding of the 1,25- dihydroxyvitamin D3 receptor and 1,25-dihydroxyvitamin D3 enhancement of mouse secreted phosphoprotein 1 (SPP-1 or osteopontin) gene expression. Proc Natl Acad Sci U S A. 1990;87(24):9995-9999.
  271. Zhang R, Ducy P, Karsenty G. 1,25-dihydroxyvitamin D3 inhibits Osteocalcin expression in mouse through an indirect mechanism. The Journal of biological chemistry. 1997;272(1):110-116.
  272. Wronski TJ, Halloran BP, Bikle DD, Globus RK, Morey-Holton ER. Chronic administration of 1,25-dihydroxyvitamin D3: increased bone but impaired mineralization. Endocrinology. 1986;119(6):2580-2585.
  273. Hock JM, Gunness-Hey M, Poser J, Olson H, Bell NH, Raisz LG. Stimulation of undermineralized matrix formation by 1,25 dihydroxyvitamin D3 in long bones of rats. Calcif Tissue Int. 1986;38(2):79-86.
  274. Suda T, Takahashi N, Abe E. Role of vitamin D in bone resorption. Journal of cellular biochemistry. 1992;49(1):53-58.
  275. Merke J, Klaus G, Hugel U, Waldherr R, Ritz E. No 1,25-dihydroxyvitamin D3 receptors on osteoclasts of calcium- deficient chicken despite demonstrable receptors on circulating monocytes. The Journal of clinical investigation. 1986;77(1):312-314.
  276. Mee AP, Hoyland JA, Braidman IP, Freemont AJ, Davies M, Mawer EB. Demonstration of vitamin D receptor transcripts in actively resorbing osteoclasts in bone sections. Bone. 1996;18(4):295-299.
  277. Rodan GA, Martin TJ. Role of osteoblasts in hormonal control of bone resorption--a hypothesis. Calcif Tissue Int. 1981;33(4):349-351.
  278. Suda T, Takahashi N, Udagawa N, Jimi E, Gillespie MT, Martin TJ. Modulation of osteoclast differentiation and function by the new members of the tumor necrosis factor receptor and ligand families. Endocr Rev. 1999;20(3):345-357.
  279. Yasuda H, Shima N, Nakagawa N, Yamaguchi K, Kinosaki M, Mochizuki S, Tomoyasu A, Yano K, Goto M, Murakami A, Tsuda E, Morinaga T, Higashio K, Udagawa N, Takahashi N, Suda T. Osteoclast differentiation factor is a ligand for osteoprotegerin/osteoclastogenesis-inhibitory factor and is identical to TRANCE/RANKL. Proc Natl Acad Sci U S A. 1998;95(7):3597-3602.
  280. Takeda S, Yoshizawa T, Nagai Y, Yamato H, Fukumoto S, Sekine K, Kato S, Matsumoto T, Fujita T. Stimulation of osteoclast formation by 1,25-dihydroxyvitamin D requires its binding to vitamin D receptor (VDR) in osteoblastic cells: studies using VDR knockout mice. Endocrinology. 1999;140(2):1005-1008.
  281. Friedman PA, Gesek FA. Cellular calcium transport in renal epithelia: measurement, mechanisms, and regulation. Physiol Rev. 1995;75(3):429-471.
  282. Winaver J, Sylk DB, Robertson JS, Chen TC, Puschett JB. Micropuncture study of the acute renal tubular transport effects of 25-hydroxyvitamin D3 in the dog. Mineral and electrolyte metabolism. 1980;4:178-188.
  283. Tenenhouse HS. Cellular and molecular mechanisms of renal phosphate transport. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1997;12(2):159-164.
  284. Ovejero D, Hartley IR, de Castro Diaz LF, Theng E, Li X, Gafni RI, Collins MT. PTH and FGF23 Exert Interdependent Effects on Renal Phosphate Handling: Evidence From Patients With Hypoparathyroidism and Hyperphosphatemic Familial Tumoral Calcinosis Treated With Synthetic Human PTH 1-34. J Bone Miner Res. 2022;37(2):179-184.
  285. Puschett JB, Beck WS, Jr., Jelonek A, Fernandez PC. Study of the renal tubular interactions of thyrocalcitonin, cyclic adenosine 3',5'-monophosphate, 25-hydroxycholecalciferol, and calcium ion. The Journal of clinical investigation. 1974;53(3):756-767.
  286. Puschett JB, Fernandez PC, Boyle IT, Gray RW, Omdahl JL, DeLuca HF. The acute renal tubular effects of 1,25-dihydroxycholecalciferol. Proc Soc Exp Biol Med. 1972;141(1):379-384.
  287. Puschett JB, Moranz J, Kurnick WS. Evidence for a direct action of cholecalciferol and 25- hydroxycholecalciferol on the renal transport of phosphate, sodium, and calcium. The Journal of clinical investigation. 1972;51(2):373-385.
  288. Popovtzer MM, Robinette JB, DeLuca HF, Holick MF. The acute effect of 25-hydroxycholecalciferol on renal handling of phosphorus. Evidence for a parathyroid hormone-dependent mechanism. The Journal of clinical investigation. 1974;53(3):913-921.
  289. Yamamoto M, Kawanobe Y, Takahashi H, Shimazawa E, Kimura S, Ogata E. Vitamin D deficiency and renal calcium transport in the rat. The Journal of clinical investigation. 1984;74(2):507-513.
  290. Kumar R, Schaefer J, Grande JP, Roche PC. Immunolocalization of calcitriol receptor, 24-hydroxylase cytochrome P- 450, and calbindin D28k in human kidney. Am J Physiol. 1994;266(3 Pt 2):F477-485.
  291. Borke JL, Minami J, Verma AK, Penniston JT, Kumar R. Co-localization of erythrocyte Ca++-Mg++ ATPase and vitamin D-dependent 28-kDa-calcium binding protein. Kidney Int. 1988;34(2):262-267.
  292. Christakos S, Brunette MG, Norman AW. Localization of immunoreactive vitamin D-dependent calcium binding protein in chick nephron. Endocrinology. 1981;109(1):322-324.
  293. Roth J, Thorens B, Hunziker W, Norman AW, Orci L. Vitamin D--dependent calcium binding protein: immunocytochemical localization in chick kidney. Science. 1981;214(4517):197-200.
  294. Bouhtiauy I, Lajeunesse D, Christakos S, Brunette MG. Two vitamin D3-dependent calcium binding proteins increase calcium reabsorption by different mechanisms. I. Effect of CaBP 28K. Kidney Int. 1994;45(2):461-468.
  295. Biber J, Hernando N, Forster I. Phosphate transporters and their function. Annu Rev Physiol. 2013;75:535-550.
  296. Silver J, Russell J, Sherwood LM. Regulation by vitamin D metabolites of messenger ribonucleic acid for preproparathyroid hormone in isolated bovine parathyroid cells. Proc Natl Acad Sci U S A. 1985;82(12):4270-4273.
  297. Cantley LK, Russell J, Lettieri D, Sherwood LM. 1,25-Dihydroxyvitamin D3 suppresses parathyroid hormone secretion from bovine parathyroid cells in tissue culture. Endocrinology. 1985;117(5):2114-2119.
  298. Demay MB, Kiernan MS, DeLuca HF, Kronenberg HM. Sequences in the human parathyroid hormone gene that bind the 1,25- dihydroxyvitamin D3 receptor and mediate transcriptional repression in response to 1,25-dihydroxyvitamin D3. Proc Natl Acad Sci U S A. 1992;89(17):8097-8101.
  299. Russell J, Ashok S, Koszewski NJ. Vitamin D receptor interactions with the rat parathyroid hormone gene: synergistic effects between two negative vitamin D response elements. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1999;14(11):1828-1837.
  300. Nishishita T, Okazaki T, Ishikawa T, Igarashi T, Hata K, Ogata E, Fujita T. A negative vitamin D response DNA element in the human parathyroid hormone-related peptide gene binds to vitamin D receptor along with Ku antigen to mediate negative gene regulation by vitamin D. The Journal of biological chemistry. 1998;273(18):10901-10907.
  301. Hawa NS, O'Riordan JL, Farrow SM. Functional analysis of vitamin D response elements in the parathyroid hormone gene and a comparison with the osteocalcin gene. Biochem Biophys Res Commun. 1996;228(2):352-357.
  302. Mackey SL, Heymont JL, Kronenberg HM, Demay MB. Vitamin D receptor binding to the negative human parathyroid hormone vitamin D response element does not require the retinoid x receptor. Mol Endocrinol. 1996;10(3):298-305.
  303. Canaff L, Hendy GN. Human calcium-sensing receptor gene. Vitamin D response elements in promoters P1 and P2 confer transcriptional responsiveness to 1,25-dihydroxyvitamin D. The Journal of biological chemistry. 2002;277(33):30337-30350.
  304. Naveh-Many T, Marx R, Keshet E, Pike JW, Silver J. Regulation of 1,25-dihydroxyvitamin D3 receptor gene expression by 1,25- dihydroxyvitamin D3 in the parathyroid in vivo. The Journal of clinical investigation. 1990;86(6):1968-1975.
  305. Russell J, Bar A, Sherwood LM, Hurwitz S. Interaction between calcium and 1,25-dihydroxyvitamin D3 in the regulation of preproparathyroid hormone and vitamin D receptor messenger ribonucleic acid in avian parathyroids. Endocrinology. 1993;132(6):2639-2644.
  306. Dedhar S, Rennie PS, Shago M, Hagesteijn CY, Yang H, Filmus J, Hawley RG, Bruchovsky N, Cheng H, Matusik RJ, et al. Inhibition of nuclear hormone receptor activity by calreticulin. Nature. 1994;367(6462):480-483.
  307. Wheeler DG, Horsford J, Michalak M, White JH, Hendy GN. Calreticulin inhibits vitamin D3 signal transduction. Nucleic Acids Res. 1995;23(16):3268-3274.
  308. Sela A, Silver J, Naveh-Many T. Chronic hypocalcemia increases PTH mRNA despite high 1,25(OH)2D levels:Roles of calretivulin and the vitamin D receptor. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 1996;11: (abstract).
  309. Ritter CS, Haughey BH, Armbrecht HJ, Brown AJ. Distribution and regulation of the 25-hydroxyvitamin D3 1alpha-hydroxylase in human parathyroid glands. J Steroid Biochem Mol Biol. 2012;130(1-2):73-80.
  310. Kadowaki S, Norman AW. Demonstration that the vitamin D metabolite 1,25(OH)2-vitamin D3 and not 24R,25(OH)2-vitamin D3 is essential for normal insulin secretion in the perfused rat pancreas. Diabetes. 1985;34(4):315-320.
  311. Lee S, Clark SA, Gill RK, Christakos S. 1,25-Dihydroxyvitamin D3 and pancreatic beta-cell function: vitamin D receptors, gene expression, and insulin secretion. Endocrinology. 1994;134(4):1602-1610.
  312. Clark SA, Stumpf WE, Sar M, DeLuca HF, Tanaka Y. Target cells for 1,25 dihydroxyvitamin D3 in the pancreas. Cell and tissue research. 1980;209(3):515-520.
  313. Morrissey RL, Bucci TJ, Richard B, Empson N, Lufkin EG. Calcium-binding protein: its cellular localization in jejunum, kidney and pancreas. Proc Soc Exp Biol Med. 1975;149(1):56-60.
  314. Bland R, Markovic D, Hills CE, Hughes SV, Chan SL, Squires PE, Hewison M. Expression of 25-hydroxyvitamin D3-1alpha-hydroxylase in pancreatic islets. The Journal of steroid biochemistry and molecular biology. 2004;89-90(1-5):121-125.
  315. Sooy K, Schermerhorn T, Noda M, Surana M, Rhoten WB, Meyer M, Fleischer N, Sharp GW, Christakos S. Calbindin-D(28k) controls [Ca(2+)](i) and insulin release. Evidence obtained from calbindin-d(28k) knockout mice and beta cell lines. The Journal of biological chemistry. 1999;274(48):34343-34349.
  316. Rabinovitch A, Suarez-Pinzon WL, Sooy K, Strynadka K, Christakos S. Expression of calbindin-D(28k) in a pancreatic islet beta-cell line protects against cytokine-induced apoptosis and necrosis. Endocrinology. 2001;142(8):3649-3655.
  317. Pittas AG, Lau J, Hu FB, Dawson-Hughes B. The role of vitamin D and calcium in type 2 diabetes. A systematic review and meta-analysis. The Journal of clinical endocrinology and metabolism. 2007;92(6):2017-2029.
  318. Pittas AG, Jorde R, Kawahara T, Dawson-Hughes B. Vitamin D Supplementation for Prevention of Type 2 Diabetes Mellitus: To D or Not to D? The Journal of clinical endocrinology and metabolism. 2020;105(12).
  319. Pittas A, Dawson-Hughes B, Staten M. Vitamin D Supplementation and Prevention of Type 2 Diabetes. Reply. N Engl J Med. 2019;381(18):1785-1786.
  320. Kolek OI, Hines ER, Jones MD, LeSueur LK, Lipko MA, Kiela PR, Collins JF, Haussler MR, Ghishan FK. 1alpha,25-Dihydroxyvitamin D3 upregulates FGF23 gene expression in bone: the final link in a renal-gastrointestinal-skeletal axis that controls phosphate transport. American journal of physiology Gastrointestinal and liver physiology. 2005;289(6):G1036-1042.
  321. Fukumoto S, Yamashita T. FGF23 is a hormone-regulating phosphate metabolism--unique biological characteristics of FGF23. Bone. 2007;40(5):1190-1195.
  322. Eisman JA, Martin TJ, MacIntyre I, Moseley JM. 1,25-dihydroxyvitamin-D-receptor in breast cancer cells. Lancet. 1979;2(8156-8157):1335-1336.
  323. Fleet JC, DeSmet M, Johnson R, Li Y. Vitamin D and cancer: a review of molecular mechanisms. Biochem J. 2012;441(1):61-76.
  324. Ingraham BA, Bragdon B, Nohe A. Molecular basis of the potential of vitamin D to prevent cancer. Current medical research and opinion. 2008;24(1):139-149.
  325. Shah S, Hecht A, Pestell R, Byers SW. Trans-repression of beta-catenin activity by nuclear receptors. The Journal of biological chemistry. 2003;278(48):48137-48145.
  326. Shah S, Islam MN, Dakshanamurthy S, Rizvi I, Rao M, Herrell R, Zinser G, Valrance M, Aranda A, Moras D, Norman A, Welsh J, Byers SW. The molecular basis of vitamin D receptor and beta-catenin crossregulation. Mol Cell. 2006;21(6):799-809.
  327. Dixon KM, Deo SS, Wong G, Slater M, Norman AW, Bishop JE, Posner GH, Ishizuka S, Halliday GM, Reeve VE, Mason RS. Skin cancer prevention: a possible role of 1,25dihydroxyvitamin D3 and its analogs. The Journal of steroid biochemistry and molecular biology. 2005;97(1-2):137-143.
  328. Demetriou SK, Ona-Vu K, Teichert AE, Cleaver JE, Bikle DD, Oh DH. Vitamin D receptor mediates DNA repair and is UV inducible in intact epidermis but not in cultured keratinocytes. The Journal of investigative dermatology. 2012;132(8):2097-2100.
  329. De Haes P, Garmyn M, Degreef H, Vantieghem K, Bouillon R, Segaert S. 1,25-Dihydroxyvitamin D3 inhibits ultraviolet B-induced apoptosis, Jun kinase activation, and interleukin-6 production in primary human keratinocytes. J Cell Biochem. 2003;89(4):663-673.
  330. Gupta R, Dixon KM, Deo SS, Holliday CJ, Slater M, Halliday GM, Reeve VE, Mason RS. Photoprotection by 1,25 dihydroxyvitamin D3 is associated with an increase in p53 and a decrease in nitric oxide products. The Journal of investigative dermatology. 2007;127(3):707-715.
  331. Garland C, Shekelle RB, Barrett-Connor E, Criqui MH, Rossof AH, Paul O. Dietary vitamin D and calcium and risk of colorectal cancer: a 19-year prospective study in men. Lancet. 1985;1(8424):307-309.
  332. Bostick RM, Potter JD, Sellers TA, McKenzie DR, Kushi LH, Folsom AR. Relation of calcium, vitamin D, and dairy food intake to incidence of colon cancer among older women. The Iowa Women's Health Study. Am J Epidemiol. 1993;137(12):1302-1317.
  333. Kearney J, Giovannucci E, Rimm EB, Ascherio A, Stampfer MJ, Colditz GA, Wing A, Kampman E, Willett WC. Calcium, vitamin D, and dairy foods and the occurrence of colon cancer in men. Am J Epidemiol. 1996;143(9):907-917.
  334. Garland FC, Garland CF, Gorham ED, Young JF. Geographic variation in breast cancer mortality in the United States: a hypothesis involving exposure to solar radiation. Prev Med. 1990;19(6):614-622.
  335. Hanchette CL, Schwartz GG. Geographic patterns of prostate cancer mortality. Evidence for a protective effect of ultraviolet radiation. Cancer. 1992;70(12):2861-2869.
  336. Boscoe FP, Schymura MJ. Solar ultraviolet-B exposure and cancer incidence and mortality in the United States, 1993-2002. BMC Cancer. 2006;6:264.
  337. Diercke K, Kohl A, Lux CJ, Erber R. Strain-dependent up-regulation of ephrin-B2 protein in periodontal ligament fibroblasts contributes to osteogenesis during tooth movement. The Journal of biological chemistry. 2011;286(43):37651-37664.
  338. Lappe JM, Travers-Gustafson D, Davies KM, Recker RR, Heaney RP. Vitamin D and calcium supplementation reduces cancer risk: results of a randomized trial. The American journal of clinical nutrition. 2007;85(6):1586-1591.
  339. Manson JE, Cook NR, Lee IM, Christen W, Bassuk SS, Mora S, Gibson H, Gordon D, Copeland T, D'Agostino D, Friedenberg G, Ridge C, Bubes V, Giovannucci EL, Willett WC, Buring JE, Group VR. Vitamin D Supplements and Prevention of Cancer and Cardiovascular Disease. N Engl J Med. 2019;380(1):33-44.
  340. Gross C, Stamey T, Hancock S, Feldman D. Treatment of early recurrent prostate cancer with 1,25-dihydroxyvitamin D3 (calcitriol). J Urol. 1998;159(6):2035-2039; discussion 2039-2040.
  341. Beer TM, Ryan CW, Venner PM, Petrylak DP, Chatta GS, Ruether JD, Redfern CH, Fehrenbacher L, Saleh MN, Waterhouse DM, Carducci MA, Vicario D, Dreicer R, Higano CS, Ahmann FR, Chi KN, Henner WD, Arroyo A, Clow FW. Double-blinded randomized study of high-dose calcitriol plus docetaxel compared with placebo plus docetaxel in androgen-independent prostate cancer: a report from the ASCENT Investigators. J Clin Oncol. 2007;25(6):669-674.
  342. Barnett CM, Beer TM. Prostate cancer and vitamin D: what does the evidence really suggest? Urol Clin North Am. 2011;38(3):333-342.
  343. Lehmann B, Tiebel O, Meurer M. Expression of vitamin D3 25-hydroxylase (CYP27) mRNA after induction by vitamin D3 or UVB radiation in keratinocytes of human skin equivalents-- a preliminary study. Arch Dermatol Res. 1999;291(9):507-510.
  344. Bikle DD, Nemanic MK, Gee E, Elias P. 1,25-Dihydroxyvitamin D3 production by human keratinocytes. Kinetics and regulation. J Clin Invest. 1986;78(2):557-566.
  345. Bikle DD, Pillai S, Gee E, Hincenbergs M. Tumor necrosis factor-alpha regulation of 1,25-dihydroxyvitamin D production by human keratinocytes. Endocrinology. 1991;129(1):33-38.
  346. Bikle DD, Pillai S, Gee E, Hincenbergs M. Regulation of 1,25-dihydroxyvitamin D production in human keratinocytes by interferon-gamma. Endocrinology. 1989;124(2):655-660.
  347. Pillai S, Bikle DD, Elias PM. 1,25-Dihydroxyvitamin D production and receptor binding in human keratinocytes varies with differentiation. The Journal of biological chemistry. 1988;263(11):5390-5395.
  348. Bikle DD. Vitamin D and the skin: Physiology and pathophysiology. Reviews in endocrine & metabolic disorders. 2012;13(1):3-19.
  349. Hennings H, Michael D, Cheng C, Steinert P, Holbrook K, Yuspa SH. Calcium regulation of growth and differentiation of mouse epidermal cells in culture. Cell. 1980;19(1):245-254.
  350. Hennings H, Holbrook KA. Calcium regulation of cell-cell contact and differentiation of epidermal cells in culture. An ultrastructural study. Experimental cell research. 1983;143(1):127-142.
  351. Hennings H, Holbrook KA, Yuspa SH. Factors influencing calcium-induced terminal differentiation in cultured mouse epidermal cells. Journal of cellular physiology. 1983;116(3):265-281.
  352. Praeger FC, Stanulis-Praeger BM, Gilchrest BA. Use of strontium to separate calcium-dependent pathways for proliferation and differentiation in human keratinocytes. J Cell Physiol. 1987;132(1):81-89.
  353. Pillai S, Bikle DD, Mancianti ML, Cline P, Hincenbergs M. Calcium regulation of growth and differentiation of normal human keratinocytes: modulation of differentiation competence by stages of growth and extracellular calcium. Journal of Cellular Physiology. 1990;143(2):294-302.
  354. Yuspa SH, Kilkenny AE, Steinert PM, Roop DR. Expression of murine epidermal differentiation markers is tightly regulated by restricted extracellular calcium concentrations in vitro. The Journal of cell biology. 1989;109(3):1207-1217.
  355. Bikle DD, Xie Z, Tu CL. Calcium regulation of keratinocyte differentiation. Expert Rev Endocrinol Metab. 2012;7(4):461-472.
  356. Sheu HM, Kitajima Y, Yaoita H. Involvement of protein kinase C in translocation of desmoplakins from cytosol to plasma membrane during desmosome formation in human squamous cell carcinoma cells grown in low to normal calcium concentration. Exp Cell Res. 1989;185(1):176-190.
  357. Denning MF, Dlugosz AA, Williams EK, Szallasi Z, Blumberg PM, Yuspa SH. Specific protein kinase C isozymes mediate the induction of keratinocyte differentiation markers by calcium. Cell Growth Differ. 1995;6(2):149-157.
  358. Filvaroff E, Calautti E, McCormick F, Dotto GP. Specific changes of Ras GTPase-activating protein (GAP) and a GAP- associated p62 protein during calcium-induced keratinocyte differentiation. Mol Cell Biol. 1992;12(12):5319-5328.
  359. Filvaroff E, Calautti E, Reiss M, Dotto GP. Functional evidence for an extracellular calcium receptor mechanism triggering tyrosine kinase activation associated with mouse keratinocyte differentiation. The Journal of biological chemistry. 1994;269(34):21735-21740.
  360. Rice RH, Green H. Presence in human epidermal cells of a soluble protein precursor of the cross-linked envelope: activation of the cross-linking by calcium ions. Cell. 1979;18(3):681-694.
  361. Hohl D, Lichti U, Breitkreutz D, Steinert PM, Roop DR. Transcription of the human loricrin gene in vitro is induced by calcium and cell density and suppressed by retinoic acid. The Journal of investigative dermatology. 1991;96(4):414-418.
  362. Simon M, Green H. Participation of membrane-associated proteins in the formation of the cross-linked envelope of the keratinocyte. Cell. 1984;36(4):827-834.
  363. Hohl D. Cornified cell envelope. Dermatologica. 1990;180(4):201-211.
  364. Thacher SM, Rice RH. Keratinocyte-specific transglutaminase of cultured human epidermal cells: relation to cross-linked envelope formation and terminal differentiation. Cell. 1985;40(3):685-695.
  365. Hennings H, Steinert P, Buxman MM. Calcium induction of transglutaminase and the formation of epsilon(gamma-glutamyl) lysine cross-links in cultured mouse epidermal cells. Biochemical and biophysical research communications. 1981;102(2):739-745.
  366. Hennings H, Kruszewski FH, Yuspa SH, Tucker RW. Intracellular calcium alterations in response to increased external calcium in normal and neoplastic keratinocytes. Carcinogenesis. 1989;10(4):777-780.
  367. Gibson DF, Ratnam AV, Bikle DD. Evidence for separate control mechanisms at the message, protein, and enzyme activation levels for transglutaminase during calcium-induced differentiation of normal and transformed human keratinocytes. Journal of Investigative Dermatology. 1996;106(1):154-161.
  368. Su MJ, Bikle DD, Mancianti ML, Pillai S. 1,25-Dihydroxyvitamin D3 potentiates the keratinocyte response to calcium. The Journal of biological chemistry. 1994;269(20):14723-14729.
  369. Menon GK, Grayson S, Elias PM. Ionic calcium reservoirs in mammalian epidermis: ultrastructural localization by ion-capture cytochemistry. Journal of Investigative Dermatology. 1985;84(6):508-512.
  370. Mauro T, Bench G, Sidderas-Haddad E, Feingold K, Elias P, Cullander C. Acute barrier perturbation abolishes the Ca2+ and K+ gradients in murine epidermis: quantitative measurement using PIXE. Journal of Investigative Dermatology. 1998;111(6):1198-1201.
  371. Lee SH, Elias PM, Feingold KR, Mauro T. A role for ions in barrier recovery after acute perturbation. The Journal of investigative dermatology. 1994;102(6):976-979.
  372. Menon GK, Price LF, Bommannan B, Elias PM, Feingold KR. Selective obliteration of the epidermal calcium gradient leads to enhanced lamellar body secretion. The Journal of investigative dermatology. 1994;102(5):789-795.
  373. Lee SH, Elias PM, Proksch E, Menon GK, Mao-Quiang M, Feingold KR. Calcium and potassium are important regulators of barrier homeostasis in murine epidermis. The Journal of clinical investigation. 1992;89(2):530-538.
  374. Menon GK, Elias PM, Lee SH, Feingold KR. Localization of calcium in murine epidermis following disruption and repair of the permeability barrier. Cell and Tissue Research. 1992;270(3):503-512.
  375. Bikle DD, Ratnam A, Mauro T, Harris J, Pillai S. Changes in calcium responsiveness and handling during keratinocyte differentiation. Potential role of the calcium receptor. J Clin Invest. 1996;97(4):1085-1093.
  376. Brown EM, Gamba G, Riccardi D, Lombardi M, Butters R, Kifor O, Sun A, Hediger MA, Lytton J, Hebert SC. Cloning and characterization of an extracellular Ca-2+-sensing receptor from bovine parathyroid. Nature. 1993;366(6455):575-580.
  377. Garrett JE, Capuano IV, Hammerland LG, Hung BC, Brown EM, Hebert SC, Nemeth EF, Fuller F. Molecular cloning and functional expression of human parathyroid calcium receptor cDNAs. Journal of Biological Chemistry. 1995;270(21):12919-12925.
  378. Tu CL, Chang W, Bikle DD. The extracellular calcium-sensing receptor Is Required for calcium- induced differentiation in human keratinocytes. The Journal of biological chemistry. 2001;276(44):41079-41085.
  379. Tu C, Chang W, Xie Z, Bikle D. Inactivation of the Calcium Sensing Receptor Inhibits E-cadherin-mediated Cell-Cell Adhesion and Calcium-induced Differentiation in Human Epidermal Keratinocytes. J Biol Chem. 2008;283:3519-3528.
  380. Tu CL, Crumrine DA, Man MQ, Chang W, Elalieh H, You M, Elias PM, Bikle DD. Ablation of the calcium-sensing receptor in keratinocytes impairs epidermal differentiation and barrier function. The Journal of investigative dermatology. 2012;132(10):2350-2359.
  381. Oda Y, Tu CL, Pillai S, Bikle DD. The calcium sensing receptor and its alternatively spliced form in keratinocyte differentiation. Journal of Biological Chemistry. 1998;273(36):23344-23352.
  382. Chang W, Tu C, Chen TH, Bikle D, Shoback D. The extracellular calcium-sensing receptor (CaSR) is a critical modulator of skeletal development. Sci Signal. 2008;1(35):ra1.
  383. Jaken S, Yuspa SH. Early signals for keratinocyte differentiation: role of Ca2+-mediated inositol lipid metabolism in normal and neoplastic epidermal cells. Carcinogenesis. 1988;9(6):1033-1038.
  384. Punnonen K, Denning M, Lee E, Li L, Rhee SG, Yuspa SH. Keratinocyte differentiation is associated with changes in the expression and regulation of phospholipase C isoenzymes. The Journal of investigative dermatology. 1993;101(5):719-726.
  385. Xie Z, Bikle DD. Phospholipase C-gamma1 is required for calcium-induced keratinocyte differentiation. The Journal of biological chemistry. 1999;274(29):20421-20424.
  386. Xie Z, Bikle DD. The recruitment of phosphatidylinositol 3-kinase to the E-cadherin-catenin complex at the plasma membrane is required for calcium-induced phospholipase C-gamma1 activation and human keratinocyte differentiation. The Journal of biological chemistry. 2007;282(12):8695-8703.
  387. Xie Z, Singleton PA, Bourguignon LY, Bikle DD. Calcium-induced human keratinocyte differentiation requires src- and fyn-mediated phosphatidylinositol 3-kinase-dependent activation of phospholipase C-gamma1. Molecular biology of the cell. 2005;16(7):3236-3246.
  388. Yuspa SH, Ben T, Hennings H, Lichti U. Divergent responses in epidermal basal cells exposed to the tumor promoter 12-O-tetradecanoylphorbol-13-acetate. Cancer Res. 1982;42(6):2344-2349.
  389. Dlugosz AA, Yuspa SH. Protein kinase C regulates keratinocyte transglutaminase (TG-K) gene expression in cultured primary mouse epidermal keratinocytes induced to terminally differentiate by calcium. Journal of Investigative Dermatology. 1994;102(4):409-414.
  390. Lu B, Rothnagel JA, Longley MA, Tsai SY, Roop DR. Differentiation-specific expression of human keratin 1 is mediated by a composite AP-1/steroid hormone element. The Journal of biological chemistry. 1994;269(10):7443-7449.
  391. Ng DC, Shafaee S, Lee D, Bikle DD. Requirement of an AP-1 site in the calcium response region of the involucrin promoter. The Journal of biological chemistry. 2000;275(31):24080-24088.
  392. Bikle DD, Ng D, Oda Y, Hanley K, Feingold K, Xie Z. The vitamin D response element of the involucrin gene mediates its regulation by 1,25-dihydroxyvitamin D3. The Journal of investigative dermatology. 2002;119(5):1109-1113.
  393. Hosomi J, Hosoi J, Abe E, Suda T, Kuroki T. Regulation of terminal differentiation of cultured mouse epidermal cells by 1 alpha,25-dihydroxyvitamin D3. Endocrinology. 1983;113(6):1950-1957.
  394. Stumpf WE, Sar M, Reid FA, Tanaka Y, DeLuca HF. Target cells for 1,25-dihydroxyvitamin D3 in intestinal tract, stomach, kidney, skin, pituitary, and parathyroid. Science. 1979;206(4423):1188-1190.
  395. Smith EL, Walworth NC, Holick MF. Effect of 1 alpha,25-dihydroxyvitamin D3 on the morphologic and biochemical differentiation of cultured human epidermal keratinocytes grown in serum-free conditions. The Journal of investigative dermatology. 1986;86(6):709-714.
  396. Pillai S, Bikle DD. Role of intracellular-free calcium in the cornified envelope formation of keratinocytes: differences in the mode of action of extracellular calcium and 1,25 dihydroxyvitamin D3. Journal of cellular physiology. 1991;146(1):94-100.
  397. McLane JA, Katz M, Abdelkader N. Effect of 1,25-dihydroxyvitamin D3 on human keratinocytes grown under different culture conditions. In Vitro Cell Dev Biol. 1990;26(4):379-387.
  398. McLaughlin JA, Cantley LC, Holick MF. 1,25(OH)2D3 increased calcium and phosphatidylinositol metabolism in differentiating cultured human keratinocytes. J Nutr Biochem. 1990;1:81-87.
  399. Ratnam AV, Bikle DD, Cho JK. 1,25 dihydroxyvitamin D3 enhances the calcium response of keratinocytes. Journal of Cellular Physiology. 1999;178(2):188-196.
  400. Pillai S, Bikle DD, Su MJ, Ratnam A, Abe J. 1,25-Dihydroxyvitamin D3 upregulates the phosphatidylinositol signaling pathway in human keratinocytes by increasing phospholipase C levels. The Journal of clinical investigation. 1995;96(1):602-609.
  401. Xie Z, Bikle DD. Inhibition of 1,25-dihydroxyvitamin-D-induced keratinocyte differentiation by blocking the expression of phospholipase C-gamma1. The Journal of investigative dermatology. 2001;117(5):1250-1254.
  402. Vandenberghe M, Raphael M, Lehen'kyi V, Gordienko D, Hastie R, Oddos T, Rao A, Hogan PG, Skryma R, Prevarskaya N. ORAI1 calcium channel orchestrates skin homeostasis. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(50):E4839-4848.
  403. Tu CL, Chang W, Bikle DD. The calcium-sensing receptor-dependent regulation of cell-cell adhesion and keratinocyte differentiation requires Rho and filamin A. The Journal of investigative dermatology. 2011;131(5):1119-1128.
  404. Tu CL, Chang W, Bikle DD. Phospholipase cgamma1 is required for activation of store-operated channels in human keratinocytes. The Journal of investigative dermatology. 2005;124(1):187-197.
  405. Malloy PJ, Pike JW, Feldman D. The vitamin D receptor and the syndrome of hereditary 1,25-dihydroxyvitamin D-resistant rickets. Endocrine reviews. 1999;20(2):156-188.
  406. Bikle DD, Chang S, Crumrine D, Elalieh H, Man MQ, Choi EH, Dardenne O, Xie Z, Arnaud RS, Feingold K, Elias PM. 25 Hydroxyvitamin D 1 alpha-hydroxylase is required for optimal epidermal differentiation and permeability barrier homeostasis. The Journal of investigative dermatology. 2004;122(4):984-992.
  407. Cianferotti L, Cox M, Skorija K, Demay MB. Vitamin D receptor is essential for normal keratinocyte stem cell function. Proceedings of the National Academy of Sciences of the United States of America. 2007;104(22):9428-9433.
  408. Palmer HG, Martinez D, Carmeliet G, Watt FM. The vitamin D receptor is required for mouse hair cycle progression but not for maintenance of the epidermal stem cell compartment. J Invest Dermatol. 2008;128(8):2113-2117.
  409. Plikus MV, Gay DL, Treffeisen E, Wang A, Supapannachart RJ, Cotsarelis G. Epithelial stem cells and implications for wound repair. Seminars in cell & developmental biology. 2012;23(9):946-953.
  410. Mascre G, Dekoninck S, Drogat B, Youssef KK, Brohee S, Sotiropoulou PA, Simons BD, Blanpain C. Distinct contribution of stem and progenitor cells to epidermal maintenance. Nature. 2012;489(7415):257-262.
  411. Tian XQ, Chen TC, Holick MF. 1,25-dihydroxyvitamin D3: a novel agent for enhancing wound healing. J Cell Biochem. 1995;59(1):53-56.
  412. Tay JQ, Riches-Suman K, Graham AM, Mahajan AL, Thornton MJ. Divergent effects of vitamin D(3) on human dermal fibroblasts and keratinocytes in wound repair: Implications for therapeutic targeting in tissue remodelling and scarring. J Plast Reconstr Aesthet Surg. 2025;105:323-335.
  413. Luderer HF, Nazarian RM, Zhu ED, Demay MB. Ligand-dependent actions of the vitamin D receptor are required for activation of TGF-beta signaling during the inflammatory response to cutaneous injury. Endocrinology. 2013;154(1):16-24.
  414. Oda Y, Hu L, Nguyen T, Fong C, Zhang J, Guo P, Bikle DD. Vitamin D Receptor Is Required for Proliferation, Migration, and Differentiation of Epidermal Stem Cells and Progeny during Cutaneous Wound Repair. The Journal of investigative dermatology. 2018;138(11):2423-2431.
  415. Celli A, Tu CL, Lee E, Bikle DD, Mauro TM. Decreased Calcium-Sensing Receptor Expression Controls Calcium Signaling and Cell-To-Cell Adhesion Defects in Aged Skin. J Invest Dermatol. 2021;141(11):2577-2586.
  416. Tu CL, Celli A, Mauro T, Chang W. Calcium-Sensing Receptor Regulates Epidermal Intracellular Ca(2+) Signaling and Re-Epithelialization after Wounding. J Invest Dermatol. 2019;139(4):919-929.
  417. Chen S, Lewallen M, Xie T. Adhesion in the stem cell niche: biological roles and regulation. Development. 2013;140(2):255-265.
  418. Lechler T, Fuchs E. Asymmetric cell divisions promote stratification and differentiation of mammalian skin. Nature. 2005;437(7056):275-280.
  419. Li L, Hartley R, Reiss B, Sun Y, Pu J, Wu D, Lin F, Hoang T, Yamada S, Jiang J, Zhao M. E-cadherin plays an essential role in collective directional migration of large epithelial sheets. Cellular and molecular life sciences : CMLS. 2012;69(16):2779-2789.
  420. Bikle DD, Ng D, Tu CL, Oda Y, Xie Z. Calcium- and vitamin D-regulated keratinocyte differentiation. Mol Cell Endocrinol. 2001;177(1-2):161-171.
  421. van Etten E, Mathieu C. Immunoregulation by 1,25-dihydroxyvitamin D3: basic concepts. The Journal of steroid biochemistry and molecular biology. 2005;97(1-2):93-101.
  422. Daniel C, Sartory NA, Zahn N, Radeke HH, Stein JM. Immune modulatory treatment of trinitrobenzene sulfonic acid colitis with calcitriol is associated with a change of a T helper (Th) 1/Th17 to a Th2 and regulatory T cell profile. The Journal of pharmacology and experimental therapeutics. 2008;324(1):23-33.
  423. Gregori S, Casorati M, Amuchastegui S, Smiroldo S, Davalli AM, Adorini L. Regulatory T cells induced by 1 alpha,25-dihydroxyvitamin D3 and mycophenolate mofetil treatment mediate transplantation tolerance. Journal of immunology. 2001;167(4):1945-1953.
  424. Sakaguchi S, Yamaguchi T, Nomura T, Ono M. Regulatory T cells and immune tolerance. Cell. 2008;133(5):775-787.
  425. Sigmundsdottir H, Pan J, Debes GF, Alt C, Habtezion A, Soler D, Butcher EC. DCs metabolize sunlight-induced vitamin D3 to 'program' T cell attraction to the epidermal chemokine CCL27. Nat Immunol. 2007;8(3):285-293.
  426. Chen S, Sims GP, Chen XX, Gu YY, Chen S, Lipsky PE. Modulatory effects of 1,25-dihydroxyvitamin D3 on human B cell differentiation. Journal of immunology. 2007;179(3):1634-1647.
  427. Bouillon R, Carmeliet G, Verlinden L, van Etten E, Verstuyf A, Luderer HF, Lieben L, Mathieu C, Demay M. Vitamin D and human health: lessons from vitamin D receptor null mice. Endocrine reviews. 2008;29(6):726-776.
  428. Adorini L, Penna G. Control of autoimmune diseases by the vitamin D endocrine system. Nat Clin Pract Rheumatol. 2008;4(8):404-412.
  429. Adamopoulos IE, Bowman EP. Immune regulation of bone loss by Th17 cells. Arthritis Res Ther. 2008;10(5):225.
  430. Hahn J, Cook NR, Alexander EK, Friedman S, Walter J, Bubes V, Kotler G, Lee IM, Manson JE, Costenbader KH. Vitamin D and marine omega 3 fatty acid supplementation and incident autoimmune disease: VITAL randomized controlled trial. BMJ. 2022;376:e066452.
  431. Limketkai BN, Mullin GE, Limsui D, Parian AM. Role of Vitamin D in Inflammatory Bowel Disease. Nutr Clin Pract. 2017;32(3):337-345.
  432. Mathieu C, Van Etten E, Gysemans C, Decallonne B, Kato S, Laureys J, Depovere J, Valckx D, Verstuyf A, Bouillon R. In vitro and in vivo analysis of the immune system of vitamin D receptor knockout mice. Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research. 2001;16(11):2057-2065.
  433. O'Kelly J, Hisatake J, Hisatake Y, Bishop J, Norman A, Koeffler HP. Normal myelopoiesis but abnormal T lymphocyte responses in vitamin D receptor knockout mice. The Journal of clinical investigation. 2002;109(8):1091-1099.
  434. Josien R, Li HL, Ingulli E, Sarma S, Wong BR, Vologodskaia M, Steinman RM, Choi Y. TRANCE, a tumor necrosis factor family member, enhances the longevity and adjuvant properties of dendritic cells in vivo. The Journal of experimental medicine. 2000;191(3):495-502.
  435. Baroni E, Biffi M, Benigni F, Monno A, Carlucci D, Carmeliet G, Bouillon R, D'Ambrosio D. VDR-dependent regulation of mast cell maturation mediated by 1,25-dihydroxyvitamin D3. J Leukoc Biol. 2007;81(1):250-262.
  436. Froicu M, Weaver V, Wynn TA, McDowell MA, Welsh JE, Cantorna MT. A crucial role for the vitamin D receptor in experimental inflammatory bowel diseases. Molecular endocrinology (Baltimore, Md). 2003;17(12):2386-2392.
  437. Gysemans C, van Etten E, Overbergh L, Giulietti A, Eelen G, Waer M, Verstuyf A, Bouillon R, Mathieu C. Unaltered diabetes presentation in NOD mice lacking the vitamin D receptor. Diabetes. 2008;57(1):269-275.
  438. Topilski I, Flaishon L, Naveh Y, Harmelin A, Levo Y, Shachar I. The anti-inflammatory effects of 1,25-dihydroxyvitamin D3 on Th2 cells in vivo are due in part to the control of integrin-mediated T lymphocyte homing. European journal of immunology. 2004;34(4):1068-1076.
  439. Wittke A, Weaver V, Mahon BD, August A, Cantorna MT. Vitamin D receptor-deficient mice fail to develop experimental allergic asthma. Journal of immunology. 2004;173(5):3432-3436.
  440. Wittke A, Chang A, Froicu M, Harandi OF, Weaver V, August A, Paulson RF, Cantorna MT. Vitamin D receptor expression by the lung micro-environment is required for maximal induction of lung inflammation. Archives of biochemistry and biophysics. 2007;460(2):306-313.
  441. Adorini L. Intervention in autoimmunity: the potential of vitamin D receptor agonists. Cellular immunology. 2005;233(2):115-124.
  442. Ehrchen J, Helming L, Varga G, Pasche B, Loser K, Gunzer M, Sunderkotter C, Sorg C, Roth J, Lengeling A. Vitamin D receptor signaling contributes to susceptibility to infection with Leishmania major. FASEB journal : official publication of the Federation of American Societies for Experimental Biology. 2007;21(12):3208-3218.
  443. Rajapakse R, Mousli M, Pfaff AW, Uring-Lambert B, Marcellin L, Bronner C, Jeanblanc M, Villard O, Letscher-Bru V, Klein JP, Candolfi E. 1,25-Dihydroxyvitamin D3 induces splenocyte apoptosis and enhances BALB/c mice sensitivity to toxoplasmosis. The Journal of steroid biochemistry and molecular biology. 2005;96(2):179-185.
  444. Soumelis V, Reche PA, Kanzler H, Yuan W, Edward G, Homey B, Gilliet M, Ho S, Antonenko S, Lauerma A, Smith K, Gorman D, Zurawski S, Abrams J, Menon S, McClanahan T, de Waal-Malefyt Rd R, Bazan F, Kastelein RA, Liu YJ. Human epithelial cells trigger dendritic cell mediated allergic inflammation by producing TSLP. Nat Immunol. 2002;3(7):673-680.
  445. Liu PT, Krutzik SR, Modlin RL. Therapeutic implications of the TLR and VDR partnership. Trends Mol Med. 2007;13(3):117-124.
  446. Schauber J, Gallo RL. The vitamin D pathway: a new target for control of the skin's immune response? Experimental dermatology. 2008;17(8):633-639.
  447. Gombart AF, Borregaard N, Koeffler HP. Human cathelicidin antimicrobial peptide (CAMP) gene is a direct target of the vitamin D receptor and is strongly up-regulated in myeloid cells by 1,25-dihydroxyvitamin D3. FASEB journal : official publication of the Federation of American Societies for Experimental Biology. 2005;19(9):1067-1077.
  448. Wang TT, Nestel FP, Bourdeau V, Nagai Y, Wang Q, Liao J, Tavera-Mendoza L, Lin R, Hanrahan JW, Mader S, White JH. Cutting edge: 1,25-dihydroxyvitamin D3 is a direct inducer of antimicrobial peptide gene expression. Journal of immunology. 2004;173(5):2909-2912.
  449. Schauber J, Dorschner RA, Coda AB, Buchau AS, Liu PT, Kiken D, Helfrich YR, Kang S, Elalieh HZ, Steinmeyer A, Zugel U, Bikle DD, Modlin RL, Gallo RL. Injury enhances TLR2 function and antimicrobial peptide expression through a vitamin D-dependent mechanism. J Clin Invest. 2007;117(3):803-811.
  450. Liu PT, Stenger S, Li H, Wenzel L, Tan BH, Krutzik SR, Ochoa MT, Schauber J, Wu K, Meinken C, Kamen DL, Wagner M, Bals R, Steinmeyer A, Zugel U, Gallo RL, Eisenberg D, Hewison M, Hollis BW, Adams JS, Bloom BR, Modlin RL. Toll-like receptor triggering of a vitamin D-mediated human antimicrobial response. Science. 2006;311(5768):1770-1773.
  451. Ong PY, Ohtake T, Brandt C, Strickland I, Boguniewicz M, Ganz T, Gallo RL, Leung DY. Endogenous antimicrobial peptides and skin infections in atopic dermatitis. The New England journal of medicine. 2002;347(15):1151-1160.
  452. Howell MD, Gallo RL, Boguniewicz M, Jones JF, Wong C, Streib JE, Leung DY. Cytokine milieu of atopic dermatitis skin subverts the innate immune response to vaccinia virus. Immunity. 2006;24(3):341-348.
  453. Bilezikian JP, Bikle D, Hewison M, Lazaretti-Castro M, Formenti AM, Gupta A, Madhavan MV, Nair N, Babalyan V, Hutchings N, Napoli N, Accili D, Binkley N, Landry DW, Giustina A. MECHANISMS IN ENDOCRINOLOGY: Vitamin D and COVID-19. Eur J Endocrinol. 2020;183(5):R133-R147.
  454. Nogues X, Ovejero D, Pineda-Moncusi M, Bouillon R, Arenas D, Pascual J, Ribes A, Guerri-Fernandez R, Villar-Garcia J, Rial A, Gimenez-Argente C, Cos ML, Rodriguez-Morera J, Campodarve I, Quesada-Gomez JM, Garcia-Giralt N. Calcifediol Treatment and COVID-19-Related Outcomes. The Journal of clinical endocrinology and metabolism. 2021;106(10):e4017-e4027.
  455. Ustianowski A, Shaffer R, Collin S, Wilkinson RJ, Davidson RN. Prevalence and associations of vitamin D deficiency in foreign-born persons with tuberculosis in London. J Infect. 2005;50(5):432-437.
  456. Rook GA, Steele J, Fraher L, Barker S, Karmali R, O'Riordan J, Stanford J. Vitamin D3, gamma interferon, and control of proliferation of Mycobacterium tuberculosis by human monocytes. Immunology. 1986;57(1):159-163.
  457. Liu PT, Stenger S, Tang DH, Modlin RL. Cutting edge: vitamin D-mediated human antimicrobial activity against Mycobacterium tuberculosis is dependent on the induction of cathelicidin. Journal of immunology. 2007;179(4):2060-2063.
  458. Sly LM, Lopez M, Nauseef WM, Reiner NE. 1alpha,25-Dihydroxyvitamin D3-induced monocyte antimycobacterial activity is regulated by phosphatidylinositol 3-kinase and mediated by the NADPH-dependent phagocyte oxidase. The Journal of biological chemistry. 2001;276(38):35482-35493.
  459. Brightbill HD, Libraty DH, Krutzik SR, Yang RB, Belisle JT, Bleharski JR, Maitland M, Norgard MV, Plevy SE, Smale ST, Brennan PJ, Bloom BR, Godowski PJ, Modlin RL. Host defense mechanisms triggered by microbial lipoproteins through toll-like receptors. Science. 1999;285(5428):732-736.
  460. Salahuddin N, Ali F, Hasan Z, Rao N, Aqeel M, Mahmood F. Vitamin D accelerates clinical recovery from tuberculosis: results of the SUCCINCT Study [Supplementary Cholecalciferol in recovery from tuberculosis]. A randomized, placebo-controlled, clinical trial of vitamin D supplementation in patients with pulmonary tuberculosis'. BMC Infect Dis. 2013;13:22.
  461. Martineau AR, Timms PM, Bothamley GH, Hanifa Y, Islam K, Claxton AP, Packe GE, Moore-Gillon JC, Darmalingam M, Davidson RN, Milburn HJ, Baker LV, Barker RD, Woodward NJ, Venton TR, Barnes KE, Mullett CJ, Coussens AK, Rutterford CM, Mein CA, Davies GR, Wilkinson RJ, Nikolayevskyy V, Drobniewski FA, Eldridge SM, Griffiths CJ. High-dose vitamin D(3) during intensive-phase antimicrobial treatment of pulmonary tuberculosis: a double-blind randomised controlled trial. Lancet. 2011;377(9761):242-250.
  462. Schauber J, Oda Y, Buchau AS, Steinmeyer A, Zugel U, Bikle DD, Gallo RL. Histone acetylation in keratinocytes enables control of the expression of cathelicidin and CD14 by 1,25-dihydroxyvitamin D3. The Journal of investigative dermatology. 2008;128(4):816-824.
  463. Norman AW, Roth J, Orci L. The vitamin D endocrine system: steroid metabolism, hormone receptors, and biological response (calcium binding proteins). Endocr Rev. 1982;3(4):331-366.
  464. Weishaar RE, Kim SN, Saunders DE, Simpson RU. Involvement of vitamin D3 with cardiovascular function. III. Effects on physical and morphological properties. Am J Physiol. 1990;258(1 Pt 1):E134-142.
  465. Walters MR, Ilenchuk TT, Claycomb WC. 1,25-Dihydroxyvitamin D3 stimulates 45Ca2+ uptake by cultured adult rat ventricular cardiac muscle cells. The Journal of biological chemistry. 1987;262(6):2536-2541.
  466. Selles J, Boland R. Rapid stimulation of calcium uptake and protein phosphorylation in isolated cardiac muscle by 1,25-dihydroxyvitamin D3. Mol Cell Endocrinol. 1991;77(1-3):67-73.
  467. Wu J, Garami M, Cao L, Li Q, Gardner DG. 1,25(OH)2D3 suppresses expression and secretion of atrial natriuretic peptide from cardiac myocytes. Am J Physiol. 1995;268(6 Pt 1):E1108-1113.
  468. Gardner DG, Chen S, Glenn DJ. Vitamin D and the heart. Am J Physiol Regul Integr Comp Physiol. 2013;305(9):R969-977.
  469. Boland R. Role of vitamin D in skeletal muscle function. Endocr Rev. 1986;7(4):434-448.
  470. Girgis CM, Clifton-Bligh RJ, Hamrick MW, Holick MF, Gunton JE. The roles of vitamin D in skeletal muscle: form, function, and metabolism. Endocrine reviews. 2013;34(1):33-83.
  471. Boland RL. VDR activation of intracellular signaling pathways in skeletal muscle. Mol Cell Endocrinol. 2011;347(1-2):11-16.
  472. Gelbard HA, Stern PH, U'Prichard DC. 1 alpha, 25-Dihydroxyvitamin D3 nuclear receptors in pituitary. Science. 1980;209(4462):1247-1249.
  473. Haug E, Gautvik KM. Demonstration and characterization of a 1 alpha,25-(OH)2D3 receptor- like macromolecule in cultured rat pituitary cells. J Steroid Biochem. 1985;23(5A):625-635.
  474. Tornquist K. Pretreatment with 1,25-dihydroxycholecalciferol enhances thyrotropin- releasing hormone- and inositol 1,4,5-trisphosphate-induced release of sequestered Ca2+ in permeabilized GH4C1 pituitary cells. Endocrinology. 1992;131(4):1677-1681.
  475. Tornquist K, Lamberg-Allardt C. The effect of 1,25-dihydroxy-cholecalciferol on the TRH induced TSH release in rats. Acta Endocrinol (Copenh). 1987;114(1):55-59.
  476. Narbaitz R, Sar M, Stumpf WE, Huang S, DeLuca HF. 1,25-Dihydroxyvitamin D3 target cells in rat mammary gland. Horm Res. 1981;15(4):263-269.
  477. Lopes N, Paredes J, Costa JL, Ylstra B, Schmitt F. Vitamin D and the mammary gland: a review on its role in normal development and breast cancer. Breast Cancer Res. 2012;14(3):211.
  478. Eisman JA, Suva LJ, Martin TJ. Significance of 1,25-dihydroxyvitamin D3 receptor in primary breast cancers. Cancer Res. 1986;46(10):5406-5408.
  479. Eisman JA, Sutherland RL, McMenemy ML, Fragonas JC, Musgrove EA, Pang GY. Effects of 1,25-dihydroxyvitamin D3 on cell-cycle kinetics of T 47D human breast cancer cells. J Cell Physiol. 1989;138(3):611-616.
  480. Colston KW, Berger U, Coombes RC. Possible role for vitamin D in controlling breast cancer cell proliferation. Lancet. 1989;1(8631):188-191.
  481. Duncan WE, Whitehead D, Wray HL. A 1,25-dihydroxyvitamin D3 receptor-like protein in mammalian and avian liver nuclei. Endocrinology. 1988;122(6):2584-2589.
  482. Cao Y, Shu XB, Yao Z, Ji G, Zhang L. Is vitamin D receptor a druggable target for non-alcoholic steatohepatitis? World J Gastroenterol. 2020;26(38):5812-5821.
  483. Rixon RH, MacManus JP, Whitfield JF. The control of liver regeneration by calcitonin, parathyroid hormone and 1 alpha,25-dihydroxycholecalciferol. Mol Cell Endocrinol. 1979;15(2):79-89.
  484. Nguyen TM, Guillozo H, Marin L, Dufour ME, Tordet C, Pike JW, Garabedian M. 1,25-dihydroxyvitamin D3 receptors in rat lung during the perinatal period: regulation and immunohistochemical localization. Endocrinology. 1990;127(4):1755-1762.
  485. Gaultier C, Harf A, Balmain N, Cuisinier-Gleizes P, Mathieu H. Lung mechanics in rachitic rats. Am Rev Respir Dis. 1984;130(6):1108-1110.
  486. Herscovitch K, Dauletbaev N, Lands LC. Vitamin D as an anti-microbial and anti-inflammatory therapy for Cystic Fibrosis. Paediatr Respir Rev. 2014;15(2):154-162.

Hyperglycemic Crises

ABSTRACT

 

Hyperglycemic emergencies, including diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS), are life-threatening complications requiring urgent treatment. DKA is more common in type 1 diabetes and results from absolute insulin deficiency, leading to hyperglycemia, dehydration, ketonemia and metabolic acidosis. Symptoms include polyuria, polydipsia, nausea, vomiting, and altered mental status. HHS is typically seen in type 2 diabetes and is defined by extreme hyperglycemia, severe dehydration, and hyperosmolarity without significant ketoacidosis. It often presents with confusion and neurological symptoms. Diagnosis of these conditions relies on blood glucose and ketone levels, blood gas, and electrolyte measurements. Fluid resuscitation, insulin therapy, and electrolyte correction are the mainstays of treatment. In HHS, intravenous insulin is used more cautiously to prevent rapid osmolar shifts and cerebral edema. Treatment protocols slightly differ in pregnancy, euglycemic ketoacidosis, and advanced kidney disease. Preventative strategies include education on sick day rules, regular clinic follow-ups in high-risk groups, and adherence to insulin therapy.

 

INTRODUCTION

 

Diabetes mellitus (DM) affects approximately 828 million people and its prevalence is expected to further grow in the coming years (1). It’s estimated that 193 million people are asymptomatic and remain undiagnosed. Diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) are acute life-threatening emergencies resulting from severe metabolic decompensation. DKA more commonly affects individuals with type 1 diabetes (T1DM) and is characterized by insulin deficiency and the triad of hyperglycemia, ketonemia and/or ketonuria, and metabolic acidosis, whereas HHS primary affects people with type 2 diabetes (T2DM) and presents with severe hyperglycemia, hyperosmolality, and severe dehydration.

 

Epidemiologic studies conducted in the U.S. and Europe over the past decade have revealed a concerning rise in the rate of hyperglycemic emergencies in adults with both T1DM and T2DM despite the previously noted reduction between 2000 and 2009 (2) (3) (4). The reported incidence of DKA in adults with T1DM varies across Europe, the U.S., and Israel, ranging from 0 to 56 events per 1,000 person-years. However, a study conducted in China between 2010 and 2012 reported a significantly higher rate of 263 per 1,000 person-years (5). In developing countries, DKA episodes affect 3.8%-73.4% of the diabetes population (6).

 

In the US, 240,000 patients had a primary diagnosis of DKA in 2020, corresponding to 10.2 cases per 1000 admissions and 27,000 had a diagnosis of HHS (1.2 cases per 1000 admissions), a significant rise in DKA cases compared to the total of 184,255 and 27,532 events for DKA and HHS respectively in 2014 (4). The cost of inpatient care for DKA in USA rose to $5.1 billion in 2014 and $6.76 billion in 2017, with the average cost per DKA admission increasing to approximately $31,000 (7) (8).

 

HHS is less common and is estimated to account for less than 1% of hospital admissions of patients with diabetes (9).  Despite its rarity, HHS is associated with a higher mortality rate, ranging from 10% to 20%, which is about ten times higher than DKA.  About 2/3 of adults admitted with DKA have T1DM, while almost 90% of the HHS patients have a known diagnosis of T2DM (3).  

 

 PATHOGENESIS     

 

The primary distinction between DKA and HHS lies in the degree of insulin insufficiency. DKA results from severe insulin deficiency in the presence of increased counterregulatory hormones, including glucagon, cortisol, epinephrine, and growth hormone, which in turn leads to increased gluconeogenesis, accelerated glycogenolysis, and impaired peripheral glucose uptake. The combination of insulin deficiency and heightened counterregulatory hormone activity enhances lipolysis resulting in high release of free fatty acids from the adipose tissue (10).  Free fatty acids are oxidized in the liver, leading to increased ketone production, ketonemia, and metabolic acidosis (11).

 

In HHS, there is relative insulin deficiency and residual insulin is enough to suppress lipolysis and prevent ketogenesis, but inadequate to regulate hyperglycemia. This persistent hyperglycemia is further enhanced by increased gluconeogenesis and decreased peripheral glucose uptake. Severe hyperglycemia leads to osmotic diuresis and subsequently to volume depletion. Increased thirst is often not sufficient to compensate for these losses and as a result osmolality rises, renal filtration declines, and as HHS progresses, severe dehydration ensues, frequently followed by cognitive impairment (12) (13).

 

Hyperglycemia in hyperglycemic crises is linked to a severe inflammatory state, marked by increased levels of proinflammatory cytokines such as tumor necrosis factor-α and interleukins-1, -6, and -8, C-reactive protein, reactive oxygen species, and lipid peroxidation biomarkers, even in the absence of apparent infection or an acute cardiovascular event (13).

 

PRECIPITATING FACTORS

 

Most admissions for DKA/HHS are precipitated by one of the following risk factors (9) (14):

 

  1. Infection: The stress of the infection can exacerbate the effects of the insulin deficiency by a rise in counterregulatory hormone levels and cytokines. In T1DM cohorts, infection accounts for up to 79.4% of the cases. Similarly, infection is a trigger factor for HHS in about 40-60% of cases.
  2. Inadequate insulin dose or poor adherence to treatment: Lack of insulin due to omission or suboptimal treatment regimens is one of the most common precipitants of DKA and HHS.
  3. New diagnosis of diabetes: DKA can be the initial clinical presentation of T1DM. In recent years, more people with undiagnosed T2DM diabetes present with DKA or mixed DKA/HHS; part of these cohorts are eventually diagnosed with ketosis prone diabetes (discussed in the special cases section).
  4. Medical or surgical emergencies, such as myocardial infarction, stroke, or trauma, can be complicated by diabetes related emergencies.
  5. Medications: Certain medications can impair glucose metabolism, increase gluconeogenesis and insulin resistance. Glucocorticoids can lead to significant hyperglycemia and subsequently DKA or HHS. A rare complication of SGLT-2 inhibitors is euglycemic ketoacidosis that is further discussed below.

 

DIAGNOSTIC CRITERIA AND CLINICAL MANIFESTATIONS

 

Based on the recent global consensus, the following three criteria are used to establish the diagnosis of DKA (13):  

 

  1. Hyperglycemia ≥200 mg/dL (11.1 mmol/L) or a prior history of diabetes irrespective of the presenting glucose reading.
  2. Elevated ketone body concentration: venous or capillary β-hydroxybutyrate ≥3.0 mmol/L or in the early stages of DKA urine ketone 2+ or greater.
  3. Metabolic acidosis: pH<7.3 and/or bicarbonate concentration <18 mmol/L.

 

It’s worth noting that urine ketone testing, which measures acetoacetate, may underestimate the level of ketonemia due to a lag in the formation of acetoacetate and overestimate it in the advanced stages of DKA due to the increased clearance of β-hydroxybutyrate and conversion to acetoacetate (10).  Moreover, ketone tests based on the nitroprusside reaction can give false-positive results in the presence of drugs containing sulfhydryl groups (15, 16). Hence, measurement of venous or capillary β-hydroxybutyrate is recommended for the diagnosis. The use of bedside capillary ketone monitors is now advocated as the best standard of care.

 

The most common symptoms are nausea and vomiting and abdominal pain, which can mimic an acute abdomen. General symptoms include fatigue and malaise. Osmotic symptoms (polydipsia, polyuria) and unintentional weight loss often precede the diagnosis. Individuals can exhibit neurological symptoms including confusion, headache, lethargy, and coma. Kussmaul breathing (deep, labored breathing) occurs in 28% of cases (17).  Fruity breath odor due to ketone production, another distinct sign of DKA, might be present. Tachycardia and hypotension due to dehydration are often present along with dry mucous membranes and decreased skin turgor.

 

Contrary to DKA, HHS is characterized by absence of severe ketonemia and metabolic acidosis. There are four diagnostic criteria as per global consensus (13).

 

  1. Plasma glucose >600 mg/dL (33.3 mmol/L).
  2. Hyperosmolality defined as effective osmolality >300 mOsm/kg or total serum osmolality > 320 mOsm/kg.
  3. Absence of significant ketonemia: β-hydroxybutyrate <3.0 mmol/L or urine ketone < 2+.
  4. Absence of acidosis: pH≥7.3 and bicarbonate concentration ≥ 15 mmol/L.

 

General symptoms include significant fatigue and weakness. Osmotic symptoms and weight loss often precede the acute presentation. Neurological symptoms, including confusion, focal neurological deficits, lethargy, seizures, and coma are more frequent in HHS. Signs of severe dehydration and volume depletion include tachycardia and severe hypotension as well as general signs of dehydration. When left untreated, it can lead to multiorgan failure and death (9).

 

The differences between DKA and HHS are shown in Table 1. Patients may manifest symptoms and laboratory studies of both DKA and HHS as DKA and HHS represent a spectrum of insulin deficiency disorders.

 

Table 1. DIFFERENCES BETWEEN DKA AND HHS

Clinical / Laboratory feature

DKA

HHS

Onset

Rapid (hours to 1-2 days)

Gradual (several days to weeks)

Blood glucose

200-600 mg/dL (11.1-13.3 mmol/L)

>600 mg/dl (13.3 mmol/L)

Ketones

Ketonemia >3 mmol/L or ketonuria 2+ or higher

Absent or <3 mmol/L

pH (acidosis)

<7.3

≥7.3

Bicarbonate

<18 mmol/L

≥ 15 mmol/L

Osmolality

Moderately elevated

Severely elevated (>320 mOsm/kg)

Neurological symptoms

Mild to moderate confusion

Severe confusion, seizures, coma

 

Other Laboratory Findings

 

Leukocytosis is a common finding in patients with DKA or HHS and might be resulting from acute stress, but a white blood cell count > 25,000/μL may indicate an underlying infection and warrants further investigations (18).  Hypertriglyceridemia is frequently seen in HHS and is nearly always present in DKA (19).  Additionally, elevated amylase and lipase levels can be found in DKA (20).

 

In DKA, the anion gap, calculated as [Na⁺] - ([Cl⁻] + [HCO₃⁻]), is typically elevated (>12 mEq/L), reflecting the progression of ketoacidosis. However, other factors such as nausea, vomiting, and renal losses can attenuate this rise by contributing to bicarbonate loss and deranged electrolytes. Moreover, Kussmaul breathing induces respiratory alkalosis, often resulting in a mixed metabolic and respiratory acid-base disturbance.

 

DIFFERENTIAL DIAGNOSIS

 

DKA must be differentiated from the following conditions:

 

  1. Alcoholic Ketoacidosis: Like DKA, it’s characterized by high anion gap metabolic acidosis but with normal or low glucose levels (21).
  2. Starvation Ketoacidosis: Malnutrition or prolonged fasting can lead to ketosis and mild acidosis; however blood glucose levels are normal or low (22).
  3. Lactic Acidosis: Often seen in sepsis and dehydration, it leads to metabolic acidosis in the absence of ketonemia. It’s sometimes seen in individuals with impaired renal function and diabetes treated with metformin (10).
  4. Toxins: Substances such as methanol and ethylene glycol can lead to high anion gap metabolic acidosis.
  5. Renal Failure: Acute or chronic kidney disease is associated with metabolic acidosis and uremia, which can present with symptoms similar to those of DKA as discussed later (23).

 

Besides distinguishing HHS from DKA, several conditions can mimic or coexist with HHS (24).

 

  1. Sepsis: Characterized by dehydration and altered mental status, sepsis can also act as a precipitating factor for HHS.
  2. Stroke: When focal neurological deficits are present, HHS may be mistaken for stroke. Glucose testing is essential for an accurate diagnosis.
  3. Uremia: Acute or chronic kidney disease can cause altered mental status, but in the absence of diabetes, blood glucose levels tend to remain normal.
  4. Electrolyte disorders: Hyponatremia or hypernatremia can lead to confusion and neurological symptoms including seizures, lethargy, and coma. Presence of hyperosmolality and hyperglycemia along with electrolyte disorders can unmask an underlying hyperglycemic crisis.

 

COMPLICATIONS

 

  1. Hypoglycemia: One of the most common complications of treatment especially in patients with DKA (25).
  2. Hypokalemia: Due to intracellular shift of potassium following insulin treatment, hypokalemia is often seen during treatment of hyperglycemic emergencies. It’s estimated to affect about 55% of DKA and 51% of HHS patients (25).
  3. Hyperchloremic Non–Anion Gap Acidosis: This transient and typically self-resolving condition can result from excessive normal saline infusion or the metabolism of ketoanions to bicarbonate during DKA resolution (26) (27).
  4. Cerebral Edema: This complication is more common in DKA, particularly in younger patients, but has also been reported in HHS. A declining level of consciousness, lethargy, and headache should raise suspicion. If untreated, it can progress to seizures, pupillary abnormalities, bradycardia, and respiratory arrest, with a high risk of mortality and permanent neurological damage. The exact cause remains unclear but may involve osmotic shifts, hypoperfusion, and inflammatory processes (10) (28).
  5. Hypoxemia and rarely non-cardiogenic pulmonary edema: It may be associated with a decrease in the colloid osmotic pressure leading to pulmonary edema.
  6. Thrombosis: Both DKA and HHS are prothrombotic states (29) (30). The risk is higher in HHS potentially due to the concurrent hypernatremia or raised vasopressin concentrations, which are considered thrombogenic. Hyperglycemia is also linked to a pro-inflammatory effect on the endothelium. An individual risk assessment for venous thromboembolism (VTE) should be performed for all patients presenting with DKA or HHS to decide if prophylactic or therapeutic dose of anticoagulation should be prescribed (31) (9). Given limited clinical trial data, therapeutic anticoagulation dose in all patients presenting with HHS is not recommended.
  7. Acute kidney failure: A common complication of DKA and HHS, usually resulting from severe dehydration due to osmotic diuresis.

 

TREATMENT

 

Fluids

 

Administration of intravenous (IV) fluids restores circulating intravascular volume and thus organ perfusion, facilitating the excretion of glucose and ketone bodies. Additionally, it improves insulin sensitivity by reducing the effect of counterregulatory hormones. Isotonic fluids have been the preferred choice for over 50 years. Normal saline 0.9% has been the standard fluid; however, concerns have been raised about its potential to cause hyperchloremic metabolic acidosis, particularly when administered in large volumes. Recent prospective and observational studies, as well as meta-analyses, have shown that using balanced crystalloid solutions such as Ringer’s lactate leads to faster resolution of DKA, shorter hospital stays, and lower incidence of hyperchloremic metabolic acidosis (32) (33, 34).

 

In DKA, an infusion of 15-20 ml per Kg body weight within the first hour is usually appropriate in adults without renal or cardiac compromise (35).  As a general rule, administration of isotonic saline or crystalloid solutions at a rate of 500–1,000 mL/h during the first 2–4 hours is recommended (13). Once intravascular volume is repleted, fluid replacement rate and choice of fluid are guided by vital signs, fluid balance, and serum electrolyte levels (8) .In hypernatremia, isotonic solutions are still the preferred choice due to lower risk of rapid correction of sodium levels and cerebral edema (36). Fluid replacement should restore estimated deficits within the first 24–48 h. Rapid replacement might not be appropriate in individuals with chronic cardiac failure, chronic kidney disease (CKD), frailty, and older age. If there are concerns about hyperchloremic metabolic acidosis, Ringer’s lactate solution can be used instead. When plasma glucose falls below 250 mg/dL (13.9 mmol/L), 5–10% dextrose in addition to the 0.9% sodium chloride is suggested to prevent hypoglycemia while insulin is used to correct ketonemia.

 

In HHS, the goal of treatment is to replace approximately 50% of the fluid deficit within the first 12 h and the remainder in the following 12 h. Similarly to DKA, initial administration rate of isotonic saline is 500–1,000 mL/h during the first 2–4 h. Fluid replacement alone leads to reduction in glucose levels which in turn decreases serum osmolality due to the water shift into the intracellular space. This results in increasing sodium levels, but this is not necessarily an indication for hypotonic solutions unless the osmolality is not adequately decreasing. If the rise in serum sodium is much greater than 2.4 mmol/L for every 5.5 mmol/L fall in blood glucose, this suggests inadequate fluid replacement and requires a higher infusion rate (37). If fluid replacement is adequate but glucose and osmolality are not falling at the desired rate, then 0.45% sodium chloride solution should be considered. Overall, the goals of treatment are a decrease in osmolality between 3 and 8 mOsmol/kg per hour, a sodium reduction by no more than 10 mmol/L in 24 hours, and hourly glucose fall by up to 5mmol/L (37).

 

Insulin

 

Insulin therapy is the mainstay of DKA treatment and should be started immediately after the diagnosis using a fixed-rate intravenous insulin infusion started at 0.1 units/kg/h. Short-acting insulin is the preferred choice. An insulin bolus (0.1 units/kg/hour) given intravenously or intramuscularly is suggested in some treatment protocols if a delay in obtaining venous access is expected, followed by the fixed rate infusion (13) (38). When blood glucose falls below 250 mg/dL (13.9 mmol/L), the rate should be halved to 0.05 units/kg/h. Subsequently, the infusion continues until the ketoacidosis is resolved and rate adjustments are made depending on the glucose levels with a target glucose of 200 mg/dl (11.1 mmol/l) (13).

 

For patients on long-acting insulin before admission, basal insulin can be continued during the administration of the IV insulin infusion, which will later enable the transition to a subcutaneous basal bolus regimen (39). In the newly diagnosed patients, basal insulin is initiated at 0.15–0.3 units/kg. Once DKA has resolved and oral intake is adequate, IV insulin can be discontinued, and rapid acting insulin is resumed with meals or initiated in the newly diagnosed. For patients who hadn’t been on simultaneous IV insulin and SC basal insulin during treatment, the infusion should be stopped at least 1-2 hours after the administration of SC insulin. If oral intake is poor, transition to variable rate insulin infusion along with glucose solutions is recommended. Criteria for resolution of DKA include (40):

 

  1. Blood glucose< 200 mg/dl (11.1 mmol/l)
  2. Venous pH > 7.3 and / or bicarbonate ≥18 mmol/L
  3. Plasma ketone <0.6 mmol/L

 

The anion gap is no longer used as a criterion, as it may also be elevated in hyperchloremic metabolic acidosis.

 

In HHS, mild or moderate ketonemia (blood β-hydroxybutyrate ≥1.0 to <3.0 mmol/L or urine ketones <2+) in the absence of acidosis (pH ≥7.3 and bicarbonate ≥18 mmol/L) is treated with IV fluids and a fixed-rate IV insulin infusion is only started once the glucose stops falling; this is to prevent large osmotic shifts and subsequently neurological complications (37). If insulin is required, the recommended initial rate is also more conservative at 0.05 units/kg/h.

 

Mixed DKA/HHS is defined as hyperosmolality (>320 mOsm/kg), β-hydroxybutyrate ≥3.0 mmol/L or ketonuria ≥2+ and presence of acidosis (pH <7.30, or bicarbonate <18 mmol/L) and has been reported in more than one-third of people with hyperglycemic crises (41). DKA and HHS share some common mechanisms in the underlying pathophysiology. In both conditions, counterregulatory hormones are elevated, while the release of cytokines leads to reduced response to insulin. It’s possible that glucotoxicity, inflammation, and oxidative stress all lead to a relative insulin deficiency due to beta cell exhaustion resulting in this overlap (37, 42). Similarly to DKA, it requires higher doses of insulin (starting rate for fixed rate insulin infusion: 0.1 units/kg/h) and IV fluids with the goal to achieve a positive balance of 3–6 L during the first 12 h and the remaining replacement in the following 12 h, although complete resolution may take up to 72 h (37). Transition to SC insulin follows the same principles as DKA.

 

The criteria for the resolution of HHS has recently been agreed such that overall serum osmolality (total and effective) should fall below 300 mOsm/kg, blood glucose below 250 mg/dL (13.9 mmol/L), urine output is above 0.5 mL/kg/h, and cognitive status has improved (43).

 

Bicarbonate

 

Bicarbonate is not routinely administered since IV fluids and insulin usually suffice to correct the metabolic acidosis of DKA (34). Higher risk of hypokalemia, cerebral edema, and development of paradoxical central nervous system acidosis have been reported with bicarbonate treatment (10, 40) and therefore their use is limited in severe metabolic acidosis (i.e., pH <7.0). In this case, 100 mmol of sodium bicarbonate (8.4% solution) in 400 mL of an isotonic solution can be administered every 2 h to achieve a pH >7.0 (43).

 

Potassium

 

Total body potassium is reduced in DKA/HHS due to renal losses resulting from osmotic diuresis, extrarenal losses due to vomiting, and concurrent hyperaldosteronism, however this reduction is often masked by the potassium movement from the intracellular to the extracellular space due to the lack of insulin and presence of acidosis. A further reduction results from treatment with insulin that increases uptake of potassium by cells and fluids that restore the intravascular volume and metabolic balance leading to increased potassium excretion in the urine (44). Potassium replacement should be started when serum levels are below 5.5 mmol/L with a target range of 4–5 mmol/L. This is usually achieved with 20–30 mmol of potassium in each liter of intravenous solution. Potassium levels below 3.5 mmol/L require a higher rate of 10 mmol/h and insulin therapy should be deferred until the potassium level is above 3.5 mmol/L to reduce risk of lethal arrhythmias and respiratory muscle weakness (45).

 

Phosphate

 

Hypophosphatemia can result from the osmotic shift into the extracellular fluid and the renal losses due to osmotic diuresis. Replacement is indicated in the presence of muscle weakness or respiratory / cardiac distress and phosphate levels below 1.0 mmol/L. In this case 20–30 mmol of potassium phosphate is added to the replacement fluids.

 

Figure 1. Key points for the management of DKA.

Figure 2. Key points for the management of HHS.

SPECIAL SITUATIONS

 

Pregnancy

 

DKA is rare in pregnancy and has an estimated incidence of 0.5–3% with up to 30% being euglycemic DKA (glucose less than 13.9 mmol/l) (46). Fetal demise rates remain as high as 35% for a single episode of DKA despite substantial improvements in perinatal and neonatal care (47). DKA most commonly presents in the third trimester and in women with T1DM followed by gestational diabetes (48). Since euglycemic DKA can present in one third of the cases, increased awareness and low threshold for ketone testing is required when women present with nausea, vomiting, abdominal pain, or recent osmotic symptoms.

 

During pregnancy, insulin resistance progressively increases to ensure adequate fetal nutrition, while insulin secretion rises to meet these higher demands. Additionally, pregnancy is a ketogenic state characterized by increased lipolysis and ketogenesis, driven by relative maternal starvation and hypoglycemia (49). This explains why DKA can develop in response to triggers such as insulin omission, steroid use, or infection. 

 

Hyperosmolar hyperglycemic state (HHS) is rare in pregnancy due to physiological adaptations, including an 8–10 mmol/kg reduction in maternal plasma osmolality and a lower threshold for vasopressin secretion, both of which reduce the risk of hyperosmolality. However, as insulin resistance increases throughout gestation, HHS is more likely to occur in women with type 2 diabetes mellitus (T2DM) (50).

 

Diabetic emergencies in pregnancy should be managed in level 2 critical care units such as HDU or ICU. Differences in the management of DKA in pregnancy include the need for fetal monitoring with frequent cardiotocography (CTGs) and in some cases ultrasounds and potentially a more conservative approach in the fluid resuscitation that should be guided by frequent assessment of the hemodynamic status (51). Isotonic saline (0.9%) remains the fluid of choice and should be administered in boluses of 500 ml over 10-15 min if the SBP is less than 90 mmHg and repeated if SBP remains below target. Following initial resuscitation, maintenance fluids can be prescribed as per adult guideline for management of DKA with a recommended rate of 5-15 ml/kg/hour. When it comes to insulin administration, current weight should be considered to determine the infusion rate. Once DKA is resolved, stricter glycemic control should be promptly achieved based on current recommended targets (fasting glucose <5.3 mmol/l, 1 hour post meals< 7.8 mmol/l).

 

Diabetic ketoacidosis (DKA) can lead to fetal cardiac arrhythmias and, in up to one-third of cases, fetal demise (52). Fetal heart rhythm often normalizes after correction of maternal metabolic acidosis, though this may take 4–8 hours (51).The decision for urgent delivery should be individualized, taking into account gestational age and response to therapy (46).

 

As noted, euglycemic DKA (euDKA) is common in pregnancy. This is attributed to increased fetal glucose utilization via enhanced placental glucose transporter expression, increased renal glucose excretion due to higher glomerular filtration, and hemodilution from expanded plasma volume. The treatment of euDKA differs from standard DKA management, requiring early initiation of 5% dextrose alongside normal saline via a separate line.

 

In HHS, weight measurement can assist with fluid replacement. A loss of weight more than 10% of the last clinic weight measurement indicates severe volume depletion and fetal risk (50). Despite stricter glucose targets during gestation, osmolality reduction should not exceed the recommended rate due to risk of cerebral edema.

 

Recurrent DKA

 

Recurrent episodes of DKA occur more frequently in females, young age groups, ethnic minorities, and individuals with suboptimal glycemic control (HbA1c > 86 mmol/mol). The most frequent trigger is insulin omission (53). This is often driven by psychosocial factors, including difficulty accepting a chronic condition, depression, eating disorders, fear of weight gain, and severe anxiety about hypoglycemia (54-56).  Low socioeconomic status and substance abuse have also been identified as risk factors.

 

Family conflict and a lack of parental involvement in diabetes management also contribute, particularly in adolescents (57). An observational retrospective case control study showed that 75% of all patients with recurrent DKA did not attend at least one appointment within the previous 12 months; patients had a mean age of 31 years reinforcing the younger age distribution of recurrent DKA cases (58). Data from 6 institutions in Chicago showed a prevalence of recurrent DKA at 21.6% with 5.8% of the cohort presenting with 4 or more episodes. Individuals with fragmented care in different healthcare institutions were at higher risk of recurrence and were more commonly of African American/Black ethnicity (59).

 

Preventing further episodes of DKA is the primary goal in this high-risk population. Strategies include insulin administration by family members or community nurses, structured insulin regimens, and hybrid closed-loop systems when there are no concerns about technology use. Ongoing support from a diabetes specialist psychologist and programs for complex cases, such as fear of hypoglycemia or eating disorders, are also important. Additionally, virtual appointments can provide flexibility and reduce missed appointments, while technology-based communication, such as messaging, can facilitate frequent contact with the diabetes care team.

 

Ketosis Prone Diabetes

 

Ketosis prone diabetes is a distinct variant form that has been described in recent decades, in which patients present with DKA without the underlying autoimmunity of T1DM (GAD and anti-islet cell antibody negative). The genetic aspect remains under investigation with contradictory results so far. It most frequently presents in African, Asian and Indian and Hispanic populations. It’s estimated that it accounts for 25% to 50% of African Americans and Hispanics with a new diagnosis of DKA (60). However, the overall prevalence remains unknown. It’s also more common in middle aged individuals, males, and overweight or obese people (61).

 

One of the unique aspects of this entity is the reversibility with high chance of insulin cessation and diabetes remission. This usually occurs after several months of insulin therapy and lifestyle interventions with only one fourth of patients remaining insulin dependent (62). Recurrent DKA is rare, and the clinical course generally resembles that of T2DM with oral agents such as metformin often being an effective treatment.

 

Ketoacidosis stems from the lack of beta cell insulin secretion on the background of severe hyperglycemia. There is often no preceding trigger factor. Patients may report osmotic symptoms prior to DKA presentation. The mechanism for the acute onset of severe hyperglycemia is currently unknown. Once normoglycemia is restored, glucose-stimulated insulin secretion starts to recover and maximizes approximately 12 weeks after the resolution of DKA and initiation of insulin treatment (63) (64). Improvement in c-peptide levels suggests temporary functional abnormalities of beta cells as opposed to permanent damage. Insulin sensitivity also remarkably improves following treatment.

 

Biochemical parameters during the acute presentation are consistent with the classic form of DKA. Management of DKA doesn’t differ, however once patients are established on subcutaneous insulin, close monitoring is advised since requirements are expected to decrease in the following months (60).

 

Hyperglycemic Emergencies In Chronic Kidney Disease

 

DKA IN CHRONIC KIDNEY DISEASE

 

Chronic kidney disease (CKD) remains a major complication of diabetes, with end-stage renal disease (ESRD) affecting up to 31.3% of cases (65).  Declining kidney function leads to impaired gluconeogenesis and reduced insulin degradation, resulting in lower insulin requirements. However, despite these lower needs, individuals with advanced CKD can still develop DKA and, more rarely, HHS.

 

Water excretion is impaired and osmotic diuresis decreases, which is less pronounced in people with impaired renal function, and it is absent in those with anuria. On the contrary, polydipsia is still present due to hypertonicity leading to increased water intake, and subsequent expansion of interstitial and intravascular volume.

 

Chronic metabolic acidosis is common in advanced CKD due to decreased acid excretion and high endogenous and exogenous acid loads (66). Acidosis deteriorates rapidly with the accumulation of ketone bodies. Distinguishing between DKA and acidosis of uremia remains challenging as both share similar symptoms (67). Ketone measurements are therefore crucial for prompt diagnosis especially in the presence of markedly elevated anion gap (>20). The recommended diagnostic threshold remains a ß-hydroxybutyrate level of more than 3 mmol/L (68). The diagnostic criteria for DKA do not differ in individuals with CKD.

 

Clinical findings vary significantly depending on the stage of renal impairment. In individuals with adequate diuresis, volume status is often reduced, further exacerbated by extrarenal losses such as vomiting and diarrhea. In those with decreased diuresis or anuria, volume status may be expanded, leading to signs of fluid overload such as shortness of breath, raised jugular venous pressure, peripheral edema, hypertension, and pulmonary edema.

 

In patients on dialysis hyperglycemia can be corrected with hemodialysis, with studies reporting a 36% decrease in blood glucose levels two hours post-dialysis (69); hemodialysis also helps correct hyperkalemia and acidosis; however, ketogenesis may persist due to insufficient insulin. The timing of the latest dialysis session, the volume of fluid removed, the presence of extra renal or excessive insensible losses affects the above parameters making diagnosis even more challenging. For this reason, some authors suggest measuring capillary ketone and lactate levels in all people with ESRD and metabolic acidosis (63).

 

The management of DKA depends on the stage of CKD, which directly influences fluid balance and insulin requirements. In ESRD, insulin requirements are lower, so an initial infusion rate of 0.05 units/kg/hour is recommended instead of 1 unit/kg/hour. The insulin dose should be adjusted based on treatment response, aiming for blood glucose reduction of 3–5 mmol/L per hour, plasma ketone reduction of 0.5 mmol/L per hour, and serum bicarbonate increase of 3 mmol/L per hour. The reduction of effective osmolality should not exceed 8 mOsm⁄kg⁄hour to minimize the risk of cerebral osmotic demyelination.

 

If the initial assessment shows normal or increased volume status, intravenous fluids are not required unless there is hypotension or other signs of volume depletion. If fluid overload is present, insulin infusion alone may be sufficient. However, severe overload with pulmonary edema requires dialysis, and renal consultation is recommended. If volume status is unclear, central pressure monitoring can help guide management. If the patient is hypovolemic (GI losses, excessive insensible losses, dry mucous membranes, reduced skin turgor, hypotension, weight at or below their post-dialysis weight), fluid resuscitation with boluses of 250 ml of sodium chloride 0.9% with frequent monitoring of clinical and laboratory parameters is recommended. In individuals on dialysis, pre-dialysis weight should be targeted (67).

 

Serum electrolytes should be closely monitored with potassium supplementation reserved for patients with hypokalemia. Serum potassium levels are often elevated, and hyperkalemia tends to be more severe in people on dialysis for the same level of hyperglycemia. In either case, it is expected to improve with the administration of intravenous insulin (70). Continuous cardiac monitoring is recommended when potassium exceeds 5.5 mmol/L. Correction with 40 mmol/L of potassium chloride is recommended when serum potassium is below 3.5 mmol/l (71).

 

Emergency hemodialysis should be considered in major hyperglycemia, severe metabolic acidosis in anuric patients, significant hypertonicity with often co-existent severe hyponatremia, and persistent hyperkalemia that does not respond to insulin administration. Rapid correction of blood glucose levels and plasma osmolality should be avoided to reduce risk of cerebral edema (72). Use of bicarbonates is generally limited for severe metabolic acidosis (pH<6.9) (34). Since bicarbonate regeneration is insufficient in advanced CKD, their use can be considered when pH<7.2.

 

EUGLYCEMIC DKA IN ADVANCED CKD

 

Euglycemic ketosis can present during continuous renal replacement (CRRT) with glucose free solutions and low caloric intake. During CRRT, glucose is removed from the blood (from 30 to 160 g per day depending on glycemia and hemofiltration rate) and glycogen stores are depleted within 2-3 days when glucose free solutions are used (73). This leads to increased glucagon levels and enhances gluconeogenesis and ketogenesis, resulting in euglycemic ketoacidosis. It can present even in the absence of diabetes (74). A high anion gap metabolic acidosis in people on CRRT should raise suspicion and prompt ketone testing. Ketosis is managed by raising the daily caloric intake (some authors suggest 25 kcal/kg/day) with a supplemental dextrose infusion along with insulin administration. Glucose-containing CRRT solutions should also be considered (73).

 

HHS IN ADVANCED CKD

 

HHS is rare in people with advanced CKD, due to lack of significant diuresis, but a mixed HHS/DKA picture can be seen considering that glucose accumulates in the extracellular space leading to hypertonicity and significant hyperglycemia. Diagnostic criteria remain the same in advanced CKD, however since urea is often increased, effective osmolality is a more reliable marker for both diagnosis and assessing response to treatment (23).

 

Mixed DKA/HHS should be managed as DKA. There are no evidence-based recommendations on the management of HHS in people with advanced CKD. Aggressive fluid resuscitation (30 mL/kg crystalloid) is considered safe for dialysis-dependent patients in other settings, such as sepsis-induced hypotension, based on retrospective data (75) (76). Since people with HHS are usually significantly dehydrated, a similar initial approach with frequent reassessment of fluid responsiveness and volume status could be considered.

 

PREVENTION

 

Approximately one in five patients admitted for DKA will be readmitted within 30 days (77). Insulin omission and underlying infections are the most common precipitating factors. As mentioned before, psychological factors, low socioeconomic status, younger age, and substance abuse are often present in people with recurrent episodes of DKA. Identifying patients at risk is crucial to prevent diabetic emergencies; this can be achieved with more frequent clinic visits, structured education programs for example those designed for type 1 diabetes and disordered eating, additional support from the psychiatry service, access to continuous glucose monitoring, and when appropriate, use of hybrid closed loop systems. Funding of community programs targeting people who struggle to access medical care due to socioeconomic reasons should be encouraged especially if we consider the financial implications of diabetic emergencies and complications (78) (79).

 

Patient education on sick day rules is important for DKA prevention and should be discussed periodically. Temporary discontinuation of SGLT-2 inhibitors in acute illness or planned surgery, when oral intake of food and water is restricted, is recommended to reduce the risk of euglycemic ketoacidosis (80). Education of family members and school staff can help prevent or at least recognize promptly the symptoms of DKA in children and adolescents with type 1 diabetes. Likewise, close observation and early detection of symptoms can help prevent HHS in older adults (36).

 

SUMMARY

 

Hyperglycemic emergencies, including DKA and HHS, are serious, life-threatening complications and require increased prompt recognition and urgent medical intervention. DKA is more common in type 1 diabetes and results from absolute insulin deficiency, while HHS is typically seen in type 2 diabetes and is defined by extreme hyperglycemia, severe dehydration, and hyperosmolarity without significant ketoacidosis. The diagnosis of these conditions relies on blood glucose and ketone levels, blood gas, and electrolyte measurements. Treatment focuses on fluid resuscitation, insulin therapy, and electrolyte correction. In HHS, intravenous insulin is used more cautiously to prevent rapid osmolar shifts and cerebral edema. Treatment protocols may need to be adjusted in special populations, including pregnant women, people presenting with euglycemic ketoacidosis, or advanced kidney disease. Preventative strategies including education on sick day rules, regular clinic follow-ups in high-risk groups, and adherence to insulin therapy, are essential in reducing the incidence of these emergencies.

 

REFERENCES

 

  1. Collaboration NCDRF. Worldwide trends in diabetes prevalence and treatment from 1990 to 2022: a pooled analysis of 1108 population-representative studies with 141 million participants. Lancet. 2024;404(10467):2077-93.
  2. Zhong VW, Juhaeri J, Mayer-Davis EJ. Trends in Hospital Admission for Diabetic Ketoacidosis in Adults With Type 1 and Type 2 Diabetes in England, 1998-2013: A Retrospective Cohort Study. Diabetes Care. 2018;41(9):1870-7.
  3. Benoit SR, Hora I, Pasquel FJ, Gregg EW, Albright AL, Imperatore G. Trends in Emergency Department Visits and Inpatient Admissions for Hyperglycemic Crises in Adults With Diabetes in the U.S., 2006-2015. Diabetes Care. 2020;43(5):1057-64.
  4. Leiva-Gea I, Fernandez CA, Cardona-Hernandez R, Lozano MF, Bahillo-Curieses P, Arroyo-Diez J, et al. Increased Presentation of Diabetic Ketoacidosis and Changes in Age and Month of Type 1 Diabetes at Onset during the COVID-19 Pandemic in Spain. J Clin Med. 2022;11(15).
  5. Fazeli Farsani S, Brodovicz K, Soleymanlou N, Marquard J, Wissinger E, Maiese BA. Incidence and prevalence of diabetic ketoacidosis (DKA) among adults with type 1 diabetes mellitus (T1D): a systematic literature review. BMJ Open. 2017;7(7):e016587.
  6. Haile HK, Fenta TG. Magnitude, risk factors and economic impacts of diabetic emergencies in developing countries: A systematic review. PLoS One. 2025;20(2):e0317653.
  7. Ramphul K, Joynauth J. An Update on the Incidence and Burden of Diabetic Ketoacidosis in the U.S. Diabetes Care. 2020;43(12):e196-e7.
  8. Desai D, Mehta D, Mathias P, Menon G, Schubart UK. Health Care Utilization and Burden of Diabetic Ketoacidosis in the U.S. Over the Past Decade: A Nationwide Analysis. Diabetes Care. 2018;41(8):1631-8.
  9. Pasquel FJ, Umpierrez GE. Hyperosmolar hyperglycemic state: a historic review of the clinical presentation, diagnosis, and treatment. Diabetes Care. 2014;37(11):3124-31.
  10. Dhatariya KK, Glaser NS, Codner E, Umpierrez GE. Diabetic ketoacidosis. Nat Rev Dis Primers. 2020;6(1):40.
  11. Kitabchi AE, Umpierrez GE, Murphy MB, Barrett EJ, Kreisberg RA, Malone JI, et al. Management of hyperglycemic crises in patients with diabetes. Diabetes Care. 2001;24(1):131-53.
  12. Delaney MF, Zisman A, Kettyle WM. Diabetic ketoacidosis and hyperglycemic hyperosmolar nonketotic syndrome. Endocrinol Metab Clin North Am. 2000;29(4):683-705, V.
  13. Umpierrez GE, Davis GM, ElSayed NA, Fadini GP, Galindo RJ, Hirsch IB, et al. Hyperglycemic Crises in Adults With Diabetes: A Consensus Report. Diabetes Care. 2024;47(8):1257-75.
  14. Ahuja W, Kumar N, Kumar S, Rizwan A. Precipitating Risk Factors, Clinical Presentation, and Outcome of Diabetic Ketoacidosis in Patients with Type 1 Diabetes. Cureus. 2019;11(5):e4789.
  15. Laffel L. Ketone bodies: a review of physiology, pathophysiology and application of monitoring to diabetes. Diabetes Metab Res Rev. 1999;15(6):412-26.
  16. Dhatariya K. Blood Ketones: Measurement, Interpretation, Limitations, and Utility in the Management of Diabetic Ketoacidosis. Rev Diabet Stud. 2016;13(4):217-25.
  17. Adhikari PM, Mohammed N, Pereira P. Changing profile of diabetic ketosis. J Indian Med Assoc. 1997;95(10):540-2.
  18. Slovis CM, Mork VG, Slovis RJ, Bain RP. Diabetic ketoacidosis and infection: leukocyte count and differential as early predictors of serious infection. Am J Emerg Med. 1987;5(1):1-5.
  19. Umpierrez G, Freire AX. Abdominal pain in patients with hyperglycemic crises. J Crit Care. 2002;17(1):63-7.
  20. Yadav D, Nair S, Norkus EP, Pitchumoni CS. Nonspecific hyperamylasemia and hyperlipasemia in diabetic ketoacidosis: incidence and correlation with biochemical abnormalities. Am J Gastroenterol. 2000;95(11):3123-8.
  21. Garg SK, Garg P. Differential Diagnosis of Ketoacidosis in Hyperglycemic Alcoholic Diabetic Patient: Role of Insulin. Indian J Crit Care Med. 2021;25(10):1203-4.
  22. Gall AJ, Duncan R, Badshah A. Starvation ketoacidosis on the acute medical take. Clin Med (Lond). 2020;20(3):298-300.
  23. Stathi D, Dhatariya KK, Mustafa OG. Management of diabetes-related hyperglycaemic emergencies in advanced chronic kidney disease: Review of the literature and recommendations. Diabet Med. 2025;42(2):e15405.
  24. Adeyinka A, Kondamudi NP. Hyperosmolar Hyperglycemic Syndrome.StatPearls. Treasure Island (FL)2025.
  25. Dhatariya KK, Nunney I, Higgins K, Sampson MJ, Iceton G. National survey of the management of Diabetic Ketoacidosis (DKA) in the UK in 2014. Diabet Med. 2016;33(2):252-60.
  26. Rewers A, Kuppermann N, Stoner MJ, Garro A, Bennett JE, Quayle KS, et al. Effects of Fluid Rehydration Strategy on Correction of Acidosis and Electrolyte Abnormalities in Children With Diabetic Ketoacidosis. Diabetes Care. 2021;44(9):2061-8.
  27. Mahler SA, Conrad SA, Wang H, Arnold TC. Resuscitation with balanced electrolyte solution prevents hyperchloremic metabolic acidosis in patients with diabetic ketoacidosis. Am J Emerg Med. 2011;29(6):670-4.
  28. Siwakoti K, Giri S, Kadaria D. Cerebral edema among adults with diabetic ketoacidosis and hyperglycemic hyperosmolar syndrome: Incidence, characteristics, and outcomes. J Diabetes. 2017;9(2):208-9.
  29. Pillai S, Davies G, Lawrence M, Whitley J, Stephens J, Williams PR, et al. The effect of diabetic ketoacidosis (DKA) and its treatment on clot microstructure: Are they thrombogenic? Clin Hemorheol Microcirc. 2021;77(2):183-94.
  30. Wei WT, Lin SM, Hsu JY, Wu YY, Loh CH, Huang HK, et al. Association between Hyperosmolar Hyperglycemic State and Venous Thromboembolism in Diabetes Patients: A Nationwide Analysis in Taiwan. J Pers Med. 2022;12(2).
  31. Burzynski J. DKA and thrombosis. CMAJ. 2005;173(2):132; author reply -3.
  32. Li S, Mikhael B, van Zyl DG. Choice of Intravenous Fluid for Resuscitation in Diabetic Ketoacidosis. N Engl J Med. 2025;392(9):923-6.
  33. Jahangir A, Jahangir A, Siddiqui FS, Niazi MRK, Yousaf F, Muhammad M, et al. Normal Saline Versus Low Chloride Solutions in Treatment of Diabetic Ketoacidosis: A Systematic Review of Clinical Trials. Cureus. 2022;14(1):e21324.
  34. Self WH, Evans CS, Jenkins CA, Brown RM, Casey JD, Collins SP, et al. Clinical Effects of Balanced Crystalloids vs Saline in Adults With Diabetic Ketoacidosis: A Subgroup Analysis of Cluster Randomized Clinical Trials. JAMA Netw Open. 2020;3(11):e2024596.
  35. Lizzo JM, Goyal A, Gupta V. Adult Diabetic Ketoacidosis.StatPearls. Treasure Island (FL)2025.
  36. Gosmanov AR, Gosmanova EO, Kitabchi AE. Hyperglycemic Crises: Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State. In: Feingold KR, Anawalt B, Blackman MR, Boyce A, Chrousos G, Corpas E, et al., editors. Endotext. South Dartmouth (MA)2000.
  37. Mustafa OG, Haq M, Dashora U, Castro E, Dhatariya KK, Joint British Diabetes Societies for Inpatient Care G. Management of Hyperosmolar Hyperglycaemic State (HHS) in Adults: An updated guideline from the Joint British Diabetes Societies (JBDS) for Inpatient Care Group. Diabet Med. 2023;40(3):e15005.
  38. Kitabchi AE, Murphy MB, Spencer J, Matteri R, Karas J. Is a priming dose of insulin necessary in a low-dose insulin protocol for the treatment of diabetic ketoacidosis? Diabetes Care. 2008;31(11):2081-5.
  39. Thammakosol K, Sriphrapradang C. Effectiveness and safety of early insulin glargine administration in combination with continuous intravenous insulin infusion in the management of diabetic ketoacidosis: A randomized controlled trial. Diabetes Obes Metab. 2023;25(3):815-22.
  40. Dhatariya KK, Joint British Diabetes Societies for Inpatient C. The management of diabetic ketoacidosis in adults-An updated guideline from the Joint British Diabetes Society for Inpatient Care. Diabet Med. 2022;39(6):e14788.
  41. Jiang DH, Herrin J, Van Houten HK, McCoy RG. Evaluation of High-Deductible Health Plans and Acute Glycemic Complications Among Adults With Diabetes. JAMA Netw Open. 2023;6(1):e2250602.
  42. Hassan EM, Mushtaq H, Mahmoud EE, Chhibber S, Saleem S, Issa A, et al. Overlap of diabetic ketoacidosis and hyperosmolar hyperglycemic state. World J Clin Cases. 2022;10(32):11702-11.
  43. Kitabchi AE, Umpierrez GE, Miles JM, Fisher JN. Hyperglycemic crises in adult patients with diabetes. Diabetes Care. 2009;32(7):1335-43.
  44. Arora S, Cheng D, Wyler B, Menchine M. Prevalence of hypokalemia in ED patients with diabetic ketoacidosis. Am J Emerg Med. 2012;30(3):481-4.
  45. Murthy K, Harrington JT, Siegel RD. Profound hypokalemia in diabetic ketoacidosis: a therapeutic challenge. Endocr Pract. 2005;11(5):331-4.
  46. Sibai BM, Viteri OA. Diabetic ketoacidosis in pregnancy. Obstet Gynecol. 2014;123(1):167-78.
  47. Dhanasekaran M, Mohan S, Erickson D, Shah P, Szymanski L, Adrian V, et al. Diabetic Ketoacidosis in Pregnancy: Clinical Risk Factors, Presentation, and Outcomes. J Clin Endocrinol Metab. 2022;107(11):3137-43.
  48. Stathi D, Lee FN, Dhar M, Bobotis S, Arsenaki E, Agrawal T, et al. Diabetic Ketoacidosis in Pregnancy: A Systematic Review of the Reported Cases. Clin Med Insights Endocrinol Diabetes. 2025;18:11795514241312849.
  49. Metzger BE, Ravnikar V, Vileisis RA, Freinkel N. "Accelerated starvation" and the skipped breakfast in late normal pregnancy. Lancet. 1982;1(8272):588-92.
  50. Nayak S, Lippes HA, Lee RV. Hyperglycemic hyperosmolar syndrome (HHS) during pregnancy. J Obstet Gynaecol. 2005;25(6):599-601.
  51. Mohan M BK, Lindow S. Management of diabetic ketoacidosis in pregnancy. . The Obstetrician & Gynaecologist. 2017;19: 55–62.
  52. de Veciana M. Diabetes ketoacidosis in pregnancy. Semin Perinatol. 2013;37(4):267-73.
  53. Dabelea D, Rewers A, Stafford JM, Standiford DA, Lawrence JM, Saydah S, et al. Trends in the prevalence of ketoacidosis at diabetes diagnosis: the SEARCH for diabetes in youth study. Pediatrics. 2014;133(4):e938-45.
  54. Weinstock RS, Xing D, Maahs DM, Michels A, Rickels MR, Peters AL, et al. Severe hypoglycemia and diabetic ketoacidosis in adults with type 1 diabetes: results from the T1D Exchange clinic registry. J Clin Endocrinol Metab. 2013;98(8):3411-9.
  55. Talbot F, Nouwen A. A review of the relationship between depression and diabetes in adults: is there a link? Diabetes Care. 2000;23(10):1556-62.
  56. Gavard JA, Lustman PJ, Clouse RE. Prevalence of depression in adults with diabetes. An epidemiological evaluation. Diabetes Care. 1993;16(8):1167-78.
  57. Skinner TC. Recurrent diabetic ketoacidosis: causes, prevention and management. Horm Res. 2002;57 Suppl 1:78-80.
  58. Cooper H, Tekiteki A, Khanolkar M, Braatvedt G. Risk factors for recurrent admissions with diabetic ketoacidosis: a case-control observational study. Diabet Med. 2016;33(4):523-8.
  59. Mays JA, Jackson KL, Derby TA, Behrens JJ, Goel S, Molitch ME, et al. An Evaluation of Recurrent Diabetic Ketoacidosis, Fragmentation of Care, and Mortality Across Chicago, Illinois. Diabetes Care. 2016;39(10):1671-6.
  60. Umpierrez GE, Smiley D, Kitabchi AE. Narrative review: ketosis-prone type 2 diabetes mellitus. Ann Intern Med. 2006;144(5):350-7.
  61. Lebovitz HE, Banerji MA. Ketosis-Prone Diabetes (Flatbush Diabetes): an Emerging Worldwide Clinically Important Entity. Curr Diab Rep. 2018;18(11):120.
  62. Mauvais-Jarvis F, Sobngwi E, Porcher R, Riveline JP, Kevorkian JP, Vaisse C, et al. Ketosis-prone type 2 diabetes in patients of sub-Saharan African origin: clinical pathophysiology and natural history of beta-cell dysfunction and insulin resistance. Diabetes. 2004;53(3):645-53.
  63. Banerji MA, Chaiken RL, Lebovitz HE. Long-term normoglycemic remission in black newly diagnosed NIDDM subjects. Diabetes. 1996;45(3):337-41.
  64. Maldonado M, Hampe CS, Gaur LK, D'Amico S, Iyer D, Hammerle LP, et al. Ketosis-prone diabetes: dissection of a heterogeneous syndrome using an immunogenetic and beta-cell functional classification, prospective analysis, and clinical outcomes. J Clin Endocrinol Metab. 2003;88(11):5090-8.
  65. Koye DN, Magliano DJ, Nelson RG, Pavkov ME. The Global Epidemiology of Diabetes and Kidney Disease. Adv Chronic Kidney Dis. 2018;25(2):121-32.
  66. Kim HJ. Metabolic Acidosis in Chronic Kidney Disease: Pathogenesis, Clinical Consequences, and Treatment. Electrolyte Blood Press. 2021;19(2):29-37.
  67. Al Sadhan A, ElHassan E, Altheaby A, Al Saleh Y, Farooqui M. Diabetic Ketoacidosis in Patients with End-stage Kidney Disease: A Review. Oman Med J. 2021;36(2):e241.
  68. Galindo RJ, Pasquel FJ, Vellanki P, Zambrano C, Albury B, Perez-Guzman C, et al. Biochemical Parameters of Diabetes Ketoacidosis in Patients with End-stage Kidney Disease and Preserved Renal Function. J Clin Endocrinol Metab. 2021;106(7):e2673-e9.
  69. Sudha MJ, Salam HS, Viveka S, Udupa AL. Assessment of changes in insulin requirement in patients of type 2 diabetes mellitus on maintenance hemodialysis. J Nat Sci Biol Med. 2017;8(1):64-8.
  70. Galindo RJ, Pasquel FJ, Fayfman M, Tsegka K, Dhruv N, Cardona S, et al. Clinical characteristics and outcomes of patients with end-stage renal disease hospitalized with diabetes ketoacidosis. BMJ Open Diabetes Res Care. 2020;8(1).
  71. Seddik AA, Bashier A, Alhadari AK, AlAlawi F, Alnour HH, Bin Hussain AA, et al. Challenges in management of diabetic ketoacidosis in hemodialysis patients, case presentation and review of literature. Diabetes Metab Syndr. 2019;13(4):2481-7.
  72. Gupta A, Rohrscheib M, Tzamaloukas AH. Extreme hyperglycemia with ketoacidosis and hyperkalemia in a patient on chronic hemodialysis. Hemodial Int. 2008;12 Suppl 2:S43-7.
  73. Ting S, Chua HR, Cove ME. Euglycemic Ketosis During Continuous Kidney Replacement Therapy With Glucose-Free Solution: A Report of 8 Cases. Am J Kidney Dis. 2021;78(2):305-8.
  74. Coutrot M, Hekimian G, Moulin T, Brechot N, Schmidt M, Besset S, et al. Euglycemic ketoacidosis, a common and underecognized complication of continuous renal replacement therapy using glucose-free solutions. Intensive Care Med. 2018;44(7):1185-6.
  75. Rajdev K, Leifer L, Sandhu G, Mann B, Pervaiz S, Habib S, et al. Fluid resuscitation in patients with end-stage renal disease on hemodialysis presenting with severe sepsis or septic shock: A case control study. J Crit Care. 2020;55:157-62.
  76. Kanbay M, Copur S, Mizrak B, Ortiz A, Soler MJ. Intravenous fluid therapy in accordance with kidney injury risk: when to prescribe what volume of which solution. Clin Kidney J. 2023;16(4):684-92.
  77. Hurtado CR, Lemor A, Vallejo F, Lopez K, Garcia R, Mathew J, et al. Causes and Predictors for 30-Day Re-Admissions in Adult Patients with Diabetic Ketoacidosis in the United States: A Nationwide Analysis, 2010-2014. Endocr Pract. 2019;25(3):242-53.
  78. Culica D, Walton JW, Prezio EA. CoDE: Community Diabetes Education for uninsured Mexican Americans. Proc (Bayl Univ Med Cent). 2007;20(2):111-7.
  79. Prezio EA, Pagan JA, Shuval K, Culica D. The Community Diabetes Education (CoDE) program: cost-effectiveness and health outcomes. Am J Prev Med. 2014;47(6):771-9.
  80. Lam D, Shaikh A. Real-Life Prescribing of SGLT2 Inhibitors: How to Handle the Other Medications, Including Glucose-Lowering Drugs and Diuretics. Kidney360. 2021;2(4):742-6.

Risk of Fasting and Non-Fasting Hypertriglyceridemia in Coronary Vascular Disease and Pancreatitis

ABSTRACT

 

Cardiovascular disease (CVD) remains a major cause of mortality in the Western world and in spite of the reduction of CVD risk by the use of lipid lowering agents per current treatment goals there remains substantial residual and absolute risk of CVD in high-risk populations. Focus on elevated triglyceride (TG) levels deserves renewed attention, particularly as one-third of all adults in the United States suffer from elevated TG and a growing number of people are diagnosed with metabolic syndrome or type 2 diabetes mellitus (T2DM). The dyslipidemia of metabolic syndrome and T2DM is characterized by low high-density lipoprotein cholesterol (HDL-c) concentrations and marked elevations in triglyceride rich lipoproteins (TRL). There has been growing data that points towards an association of fasting and non-fasting TGs with CVD, including a number of genetic studies suggesting causality. However, the association of TG as an independent risk faster in CVD is confounded by its inverse metabolic relationship with HDL-c and the heterogeneity of TG lipoproteins. Current guidelines suggest diagnosis of hypertriglyceridemia based on fasting levels where the length of fasting is recommended to be 9-12 hours. Although non-fasting TG levels may be a better indicator of risk, the lack of standardization of non-fasting TG measurements, lack of specific reference ranges, and the variability of postprandial lipid measurements have hampered their routine clinical use. Current guidelines focus mainly on LDL-c levels; however, lowering TG may provide additional benefit for CVD prevention. Lifestyle changes including dietary changes and exercise play an important role in the treatment of hyperlipidemia. Pharmacological agents used in the treatment of hypertriglyceridemia include niacin, fibrates, fish oil, and statins. Most guidelines recommend treating elevated TG for prevention of pancreatitis. This chapter will discuss the role of elevated TG in pancreatitis and CVD risk.

 

INTRODUCTION

 

Cardiovascular disease (CVD) remains a major cause of mortality in the Western world, especially in individuals with obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM). With increasing incidence of the metabolic syndrome and T2DM worldwide, the global burden of CVD will also increase (1). In spite of the reduction of CVD risk by 25-35% with the use of lipid lowering agents, especially statins, there remains substantial residual and absolute risk of CVD in high-risk populations such as T2DM (2). Elevated low-density lipoprotein (LDL-c) is a well-established CVD risk factor and has been the primary target for lipid lowering treatment. However, growing evidence suggests that an elevated triglyceride (TG) level is also an independent risk factor (3,4).  Borderline high TGs or high TGs defined by National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) as TG concentration (150 – 199 mg/dL) and (200 – 499 mg/dL) respectively are present in 30% of the US adult population (5) and these levels have been associated with increased risk of CVD. The dyslipidemia of metabolic syndrome and T2DM is characterized by raised TG concentrations, low high-density lipoprotein cholesterol (HDL-c) concentrations and marked elevations in triglyceride rich lipoproteins (TRL). This triad is termed mixed or atherogenic dyslipidemia (6). Impaired metabolism of TRLs in the postprandial state have been observed in insulin resistant states such as visceral obesity, metabolic syndrome, and T2DM and this has been linked to the development of atherosclerosis  (7).

 

Severe hypertriglyceridemia and very severe hyperlipidemia defined by Endocrine Society Clinical Practice Guideline on Evaluation and Treatment of Hypertriglyceridemia as TG concentration (1000 – 1999 mg/dL) and (>2000 mg/dL) carries an increased risk for pancreatitis   (8). Case series and uncontrolled studies have shown that severely elevated TG levels are associated with the chylomicronemia syndrome and an increased risk of pancreatitis. Serum TG levels of 1000 mg/dL and higher have been observed in 12% to 38% of patients with acute pancreatitis (9). Hence, understanding the role of hypertriglyceridemia in CVD, chylomicronemia syndrome and risk of pancreatitis is important.

 

METABOLISM OF TRIGLYCERIDE RICH LIPOPROTEINS AND TRIGLYCERIDEMIA

 

Triglyceride Rich Lipoprotein Metabolism

 

Triglyceride rich lipoproteins (TRL) consist of chylomicrons carrying triglycerides from the diet, VLDLs synthesized in the liver, and their respective remnant particles. After a fatty meal, dietary triglycerides are hydrolyzed in the intestine to free fatty acids and monoglycerides. Fatty acids and monoglycerides are then absorbed by enterocytes and resynthesized to form triglycerides. Triglycerides within the intestinal enterocytes are assembled with apolipoprotein (apo) B-48 into large chylomicrons which are released from the cells into the lymphatic system. They access the plasma via the thoracic duct and are rapidly metabolized by lipoprotein lipase (LPL) to yield chylomicron remnants. These are taken up by remnant receptors and by LDL receptors in the liver. Free fatty acids liberated by the action of LPL are available to adipose tissue for storage and to other tissues (e.g., skeletal muscle, heart) for use as energy substrates. Lipids derived from chylomicron remnants, from de novo lipid synthesis, and from lipolysis of adipose tissue are reassembled in the liver as very-low-density lipoprotein (VLDL) particles, which are secreted into the plasma. VLDL particles are metabolized by LPL to yield intermediate density lipoprotein (IDL) particles, which are metabolized by LPL and hepatic lipase to yield low density lipoprotein (LDL) particles. IDL can be taken up by the liver through an apo E-dependent process, and LDL is taken up by the liver through the binding of apoB100 to LDL receptors. Small VLDL particles, IDL particles, and LDL particles may be taken up by peripheral tissues to deliver nutrients, cholesterol, and fat-soluble vitamins (10-12).

 

Hypertriglyceridemia 

 

Hypertriglyceridemia is a normal physiological state that occurs post ingestion of a meal where lipids undergo the above-mentioned metabolism. In insulin- resistant states there is an exaggerated lipid response leading to pathological hypertriglyceridemia which is thought to be atherogenic. In insulin-resistant states there is an increase in the production of VLDL by the liver and decreased hepatic uptake of VLDL, IDL and LDL. There is a reduction in LPL activity resulting in high triglyceride concentrations, especially in the postprandial state. The over secretion of VLDL, which competes with chylomicron remnants for clearance through the common pathway, can exacerbate the post prandial response. The large amount of TRLs and their prolonged residence time in the circulation leads to increased exchange of cholesteryl ester for triglycerides between TRL and LDL or HDL particles mediated by cholesteryl ester transfer protein (CETP). This process enriches LDL and HDL with triglyceride, and these particles are subsequently more readily hydrolyzed by hepatic lipase resulting in smaller, denser LDL particles and lower concentrations of HDL (13). These abnormalities result in a characteristic dyslipidemia in insulin resistant states, which is now recognized to be atherogenic.

 

Apo C-III

 

Apolipoprotein C-III (APOC3) has a key role in lipoprotein metabolism and regulation of triglyceride levels. APOC3 is synthesized in the liver and transported on triglyceride-rich lipoproteins. It inhibits LPL mediated hydrolysis of triglycerides, and at high concentrations can also inhibit hepatic lipase activity. In addition, APOC3 impairs the hepatic uptake of triglyceride rich lipoproteins by remnant receptors. Thus, increased APOC3 levels are an independent risk factor for CVD (14-16); genetic variants of APOC3 leading to lower levels are associated with a reduced risk for CVD (17-19).

 

ANGPTL

 

Angiopoietin-like proteins (ANGPTL) are regulators of lipoprotein metabolism. ANGPT3 and ANGPTL4 are natural inhibitors of LPL. Loss of function variants in these proteins have been associated with decreased triglyceride levels and decreased CVD. Murine studies have found that the suppression of ANGPTL3 decreases atherosclerosis (20).

 

Severe Hypertriglyceridemia 

 

In severe or very severe TG levels (> 1000 mg/dL), which occur as a result of defective lipolysis or excessive production of endogenous triglyceride, the LPL removal system is saturated. There is decreased degradation of dietary TGs incorporated into chylomicrons and a rapid increase of TG levels post fat-rich meals (worsened by dietary simple sugars, fructose, and alcohol) in susceptible individuals causing pancreatitis. The mechanism by which hypertriglyceridemia causes pancreatitis is not understood, but could include local accumulation of free fatty acids and serum hyperviscosity (8).

 

HYPERTRIGLYCERIDEMIA AND RISK OF PANCREATITIS AND CHYLOMICRONEMIA SYNDROME

 

Severe hypertriglyceridemia (> 1000 mg/dL) is an infrequent laboratory finding and is generally associated with genetic disorders of lipid metabolism or TG levels exacerbated by secondary causes. Familial chylomicronemia is a rare monogenic disorder that can cause severe hypertriglyceridemia. It is defined as the presence of chylomicronemia (TG > 1000 mg/dL) along with one or more of the following: eruptive xanthomas, lipemia retinalis, or abdominal findings of pain, acute pancreatitis and/or hepatosplenomegaly (21). Multifactorial chylomicronemia syndrome (MFCS) which is a much more common cause of severe hypertriglyceridemia is caused by the accumulation of genetic, non-genetic, and environmental factors. Individuals with severe hypertriglyceridemia may present with these classic findings and pancreatitis or may be asymptomatic. The mechanisms by which hypertriglyceridemia may lead to acute pancreatitis are not known. Possible mechanisms include intra-pancreatic hydrolysis of high triglycerides by pancreatic lipase leading to accumulation of fatty acids in the pancreas which may be toxic and lead to inflammation and ischemia. Another proposed mechanism is increased viscosity by high chylomicron levels leading to ischemia (22). A study looking at the frequency of signs and symptoms of hypertriglyceridemia including pancreatitis found that the incidence of pancreatitis and eruptive xanthomas was low unless TG levels were significantly elevated, e.g. > 1700 mg/dL (20 mmol/l); patients with extreme hypertriglyceridemia had a combination of primary and secondary factors (T2DM, obesity, alcohol intake, pregnancy) contributing to their high TG levels (23). Murphy et al. in their cohort study estimated the risk of pancreatitis with differing degrees of TG elevations and showed that the crude incidence of pancreatitis was 0.91 per 1000 person years (95% CI, 0.76 – 1.09) in individuals with TG levels <150 mg/dL, 1.24 (95% CI, 1.07 – 1.44) with TG levels 150 – 499 mg/dL and 2.48 (95% CI, 1.79 – 3.42) with TG levels >500 mg/dL (24). Increased incidence is seen with increased TG levels. The level of TG at which pancreatitis can be attributed to hypertriglyceridemia is not well defined nor is the level of TG reduction that is associated with reduced risk known. A study by Lindkist et al. (22) looked at the association of moderately elevated serum TG levels and acute pancreatitis. In this study, 33,260 individuals were followed for a median 25.7 years where overall incidence of acute pancreatitis in the cohort was 35.5/100,000-person years. There was a statistically significant association between TG levels and risk of pancreatitis with adjusted HR for pancreatitis of 1.21 (95% CI, 1.07 – 1.36) per 1 mmol/l (~88.5 mg/dL) increment in TG and a significant increased risk for acute pancreatitis in individuals with TG levels > 1.64 mmol/l (145 mg/dL). The analysis in this study was restricted to individuals with TG levels < 6 mmol/l (530 mg/dL) producing statistically significant results and showing that TG levels much lower than previously believed can be associated with an increased risk of acute pancreatitis. Another study evaluated the association between lower follow-up TG levels and the incidence of recurrent clinical events for patients with severe hypertriglyceridemia (>500 mg/dL). This study included 41,210 individuals with < 1% having a history of pancreatitis. Individuals with severe hypertriglyceridemia with follow up TG levels <200 mg/dL experienced a lower rate of recurrent pancreatitis episodes, with an adjusted rate ratio of 0.45 (95% CI, 0.34 – 0.60) compared to those with TG levels >500 mg/dL (25). There is an increased risk of pancreatitis with severe hypertriglyceridemia and in individuals with elevated dietary TG levels and in some cases pharmacological intervention is necessary to prevent severe complications such as pancreatitis.

 

HYPERTRIGLYCERIDEMIA AS A CARDIOVASCULAR RISK FACTOR

 

Epidemiological Data Supporting TG as a CVD Risk Factor

 

The association of elevated TG values with CVD remains controversial. Establishing TG level as an independent risk factor for CVD is confounded by its inverse metabolic relationship with HDL-c and the heterogeneity of TG risk lipoproteins. Growing evidence suggests that an elevated TG level is an independent risk factor for CVD and represents an important biomarker of CVD risk because of their association with atherogenic remnant particles. A meta-analysis by Hokanson and Austin (4), showed increased plasma TG levels are associated with a significant increase in the risk of CVD independent of HDL-c level. An overall relative risk (RR) for CVD of 1.32 for men and 1.76 for women per 1 mmol/L (~88.5 mg/dL) increase in TGs was noted. However, this analysis was limited to Caucasian study subjects. A non-overlapping meta-analysis involving data from 26 prospective studies in Asian and Pacific populations reported a RR for CVD of 1.8 (95% CI, 1.49 – 2.19), comparing subjects in the top fifth with the bottom fifth of TG levels (26). Sarwar et al. (27) reported data from two prospective cohort studies: the Reykjavik study and the European Prospective Investigational of Cancer (EPIC) - Norfolk study, which together comprised 44,237 Western middle-aged men and women and a total of 3582 incident cases of CVD. Comparing individuals with TGs in the top tertile with the bottom tertile, the adjusted odds ratio for CVD was 1.76 (95% CI, 1.39 – 2.21) in the Reykjavik study and 1.57 (95% CI, 1.10 – 2.24) in the EPIC-Norfolk study. However, adjustment for HDL-c substantially attenuated the magnitude of association of TG level with CVD. They also performed an updated meta-analysis of the Western population studies adding information to include a total of >10,000 CVD cases from 29 Western prospective studies involving a total of > 260,000 participants, and report an adjusted odds ratio of 1.72 (95% CI, 1.56 – 1.90) comparing top and the bottom tertiles of TG values (27). A more recent meta-analysis by Murad, et al. (9), included 35 studies with a total of 927,218 subjects who suffered 132,460 deaths and 72,654 cardiac events, myocardial infarctions or pancreatitis; with odds ratio of 1.80 (95% CI, 1.31 – 2.49) for cardiac events, 1.31 (95% CI, 1.15 – 1.49) for myocardial infarctions, and 3.96 (95%, CI 1.27 – 12.34) for pancreatitis.

 

Genetic Data Linking TG to CVD

 

Recent human genetic studies show that elevated TGs and TRLs are causal risk factors for CVD. A Mendelian randomization study based on several genetic variants affecting remnant cholesterol and/or HDL showed that a 1 mmol/l (39 mg/dL) increase in non-fasting remnant cholesterol is associated with a 2.8-fold causal risk for ischemic heart disease, independent of reduced HDL cholesterol (28). A meta-analysis of 46 lipid genome-wide-association studies (GWAS) together comprising >100,000 individuals of European descent identified four novel loci associated with CVD that were related to HDL-c and TG levels suggesting elevated TG metabolism may also be associated with CVD risk (29). Another large Mendelian randomization study based on a single APOA5 variant (-1131T>C) that regulates TG showed an association with CVD risk. The odds ratio for coronary heart disease was 1·18 (95% CI 1·11–1·26; p=2·6×10−7) per C allele, which was concordant with the hazard ratio of 1·10 (95% CI 1·08–1·12) per 16% higher TG concentration recorded in prospective studies (30).  This finding is similar to that seen in the study by Jorgensen et al. (31), where doubling of genetically raised remnant cholesterol and TG levels due to APOA5 genetic variants was associated with an increased risk of myocardial infarctions. In addition, a study using individuals from the Copenhagen City Heart Study with genetic variants in lipoprotein lipase (LPL), tested whether low concentrations of non-fasting TG were associated with reduced all-cause mortality in observational analyses (n = 13,957). The results showed that each genetically-derived 1 mmol/l (~88.5 mg/dL) reduction in TG levels was associated with a halved risk of all-cause mortality (32). Two large studies examining the relationship between the gene encoding apolipoprotein C3 (APOC3) found that loss of function mutations in APOC3 were associated with low levels of TG and reduced risk of CVD (17,19). ANGPTLs have also been linked to CVD. A large human study found that individuals with loss of function variants in ANGPTL3 had lower TG levels, as well as lower levels of HDL-c and LDL-c compared to control subjects, and decreased odds of CVD (20). Similarly, individuals with loss of function variants of ANGPTL4 also had lower TG levels and decreased risk for CVD (33). A study by Ference et al did a randomization analysis of a total of 654,783 participants to determine if there was any association with risk of CVD per unit of change in ApoB from either LDL-C lowering variants in the LDL receptor gene (LDLR) or TG-lowering variants in the lipoprotein lipase gene.  It showed that there was a similar decrease in risk of CVD per unit difference in ApoB from either TG-lowering LPL variants or LDL-C lowering LDLR variants. Due to differences in the composition of LDL and VLDL, TG levels must be decreased to a much greater extent than LDL-c to achieve a comparable decrease in ApoB levels. This has important implications in the interpretation of TG lowering trials, as studies may not sufficiently lower TG to effectively decrease ASCVD risk. To be noted, the results from this study are from genetic variants and not lipid lowering therapies (34). A genetic cause of lower LDL-c confers a lifetime reduction with associated decline of ASCVD risk up to three to four times greater than with statin therapy, which has a shorter period of lower LDL-c. This finding is likely similar for TG.  Collectively, these studies strongly point to a causal effect of elevated TG and TRLs with CVD.

 

Clinical Trial Evidence Supporting Lowering TG Reduces CVD

 

Results with clinical outcomes trials of fibrate therapy have been variable but primarily indicate a reduction in CV events. Post hoc analysis of several of these trials provides consistent evidence showing a clinical benefit in subgroups with elevated TG levels. A meta-analysis of the effect of TG lowering in 18 trials providing data for 45,058 participants showed that fibrate therapy produced a 10% RR reduction (95% CI 0-18) for major cardiovascular events (p=0.048) and a 13% RR reduction (95% CI 7-19) for coronary events (p<0.0001) (35). The Helsinki Heart Study (HHS) , a primary prevention trial showed that in an average follow up of 5 years, there was a 34% (95% CI 8.2-52.6, P =0.02) RR reduction in CVD in those treated with gemfibrozil compared to placebo  (36). In an 18 year follow up of this study, individuals randomized to gemfibrozil had a 24% adjusted RR reduction (p=0.05) in CVD, and individuals with elevated TG and body mass index (BMI) showed significant benefit from treatment with gemfibrozil. Those with TG level in the highest tertiles had a 71% lower RR of CVD mortality (p <0.001) (37). The Bezafibrate Infarction Prevention (BIP) study assessed the role of fibrates in secondary prevention. The initial reports showed no significant RR reductions in CVD outcomes in bezafibrate treated vs. placebo-treated subjects. However, a post-hoc analysis of individuals with TG >200 mg/dL demonstrated significant RR reduction by 39.5% (p=0.02); there was no significant RR in those with TG values < 200 mg/dL (38,39). In a subgroup analysis of patients in the BIP study by Tenenbaum at al. (40), patients with CVD, metabolic syndrome and TG > 150 mg/dL experienced significant benefits from the treatment with bezafibrate. Bezafibrate was associated with a reduced risk of any MI and nonfatal MI with HRs of 0.71 (95% CI, 0.54-0.95) and 0.67 (95% CI, 0.49-0.91), respectively. The cardiac mortality risk tended to be lower in patients taking bezafibrate (HR, 0.74; 95% CI, 0.54-1.03). The Veterans Affairs High-Density Lipoprotein Intervention (VA-HIT) involved 2531 males with CVD with low HDL-c and relatively low LDL-c who were treated with gemfibrozil or placebo and monitored for 5.1 years. Gemfibrozil safely reduced the risk of death from CVD or nonfatal myocardial infarction by 22 percent (41). For every 100 mg/dL increment in baseline TG there was a 14% increase in coronary risk (p=0.045). Further, those with highest tertile of TG values (>180 mg/dL) exhibited a more marked decrease in coronary risk with gemfibrozil compared with those in lower tertiles (42). In the Action to Control Cardiovascular Risk in Diabetes (ACCORD) lipid study using statin + fibrate combination therapy, fenofibrate + simvastatin had no effect on the primary outcome vs. simvastatin alone for all patients. However, in the fenofibrate + simvastatin group, there was a 31% reduction in CV risk in the subgroup with baseline TG levels in the upper tertile vs. simvastatin monotherapy (43).

 

Pemafibrate, a new selective PPAR-α activator, approved in Japan in 2017 for hyperlipidemia, is metabolized by cytochromes CYP2C8, CYP2C9, and CYP3A4, indicating potential drug interactions (44). The Pemafibrate to Reduce Cardiovascular Outcomes by Reducing Triglycerides in Patients with Diabetes (PROMINENT) trial evaluated its cardiovascular benefits in patients with high TGs, including those with diabetes. While pemafibrate significantly reduced TGs, remnant cholesterol, and apo C-III after 4 months, it also raised LDL cholesterol and apo B and did not improve HDL cholesterol. Adverse effects included renal issues and a risk of venous thromboembolism (45). This trial found no significant difference in major cardiovascular events among patients treated with pemafibrate compared to placebo. Despite initial promise, the trial's findings diminished support for combining fibrates like pemafibrate with statins for cardiovascular risk reduction.

 

PPAR alpha activators may decrease atherosclerosis by various pathways, not limited to affecting circulating lipid levels. Plutzky and Zandbergen discuss the reduction of acute phase reactants produced in the liver, including C-reactive protein, serum amyloid A, and fibrinogen, by PPAR alpha agonists.  These agents may also limit endothelial dysfunction through inhibition of the vasoconstrictor endothelin-1 and by promoting vasodilation by enhanced expression of endothelial nitric oxide synthase. PPARα agonists may also limit early atherogenesis by inhibiting cytokine-induced expression of a key molecule, vascular adhesion molecule-1, required for adhesion of leukocytes to injured vasculature (46). Additionally, PPAR alpha activators may activate PPARs differently, resulting in variable effects.

 

The Reduction of Cardiovascular Events with Icosapent Ethyl–Intervention (REDUCE-IT) and Statin Residual Risk with Epanova in High Cardiovascular Risk Patients with Hypertriglyceridemia (STRENGTH) trials present examples of conflicting cardiovascular outcomes in patients receiving omega-3 fatty acid therapy. The REDUCE-IT trail with 8,179 patients showed a decrease in major cardiac events with high dose icosapent ethyl (4g/d EPA), while the STRENGTH trial with 13,086 patients showed no effects on cardiac events with high dose EPA/DHA carboxylic acid (4g/d) (47,48). A difference in the two studies could be due to the EPA levels achieved in each study. REDUCE-IT achieved an EPA level of 144 (mg/mL) while the STRENGTH trial achieved an EPA level of 89.6 (mg/mL) (49). Another issue is that in the REDUCE-IT trial, mineral oil was used as the placebo in the control group which resulted in higher atherogenic lipoproteins in that arm. This raised concerns that both the negative effects from the mineral oil in the control group and the positive effects of EPA in the treatment group underlies the observed reduction in major cardiac events seen in the trial. However, Olshansky et al reviewed eight studies that used mineral oil as a placebo which showed no evidence that mineral oil in the dosage used in the REDUCE-IT trial had any effect on clinical outcomes (50). Given the opposite results of the two trials, further investigation is needed in regards to EPA levels and drug formulations. A secondary analysis of the STRENGTH trial showed no cardiovascular benefits at the highest levels of DHA or EPA (51). A meta-analysis which includes the REDUCE-IT and STRENGTH trails show that there was a higher risk of atrial fibrillation in groups treated with omega-3 fatty acids than placebo (52). These studies cast doubt on the benefits of lowering TG levels to reduce ASCVD and necessitate further evaluation in the potential adverse effects of omega 3 fatty acids.

 

Collectively, studies suggest that fibrate monotherapy leading to a reduction in TG levels prevents coronary events. Many of these studies also show improvements in HDL-c levels which may contribute to the improvements in CVD seen; however, recent HDL-c raising studies (using CETP inhibitors) have not found improved cardiovascular benefits suggesting that the decrease in TG levels contributed to the reduction of CVD seen in the fibrate studies. It has been difficult to demonstrate an ASCVD benefit with TG lowering in patients taking statins. At present, guidelines have not been recommending TG lowering in patients with elevated TG levels to reduce CVD. The lack of evidence to support an ASCVD benefit for TG lowering in patients already using statins may be due to insufficient lowering of TG levels, effects that counter the beneficial effects of lowering TG levels (e.g. in the PROMINENT trial non-HDL-c increased), or perhaps inclusion of inappropriate study populations.

 

Post-Prandial TG as a CVD Risk Factor

 

There is also growing evidence that postprandial hypertriglyceridemia may be a better indicator of the presence or development of CVD than fasting hypertriglyceridemia. In the Women’s Health Study, a prospective cohort of 26,330 initially healthy women with over 11 years of follow up, it was observed that higher non-fasting TG levels were strongly associated with an increased risk of future cardiovascular events independent of baseline cardiac risk factors, levels of other lipids, and markers of insulin resistance. The concentrations of lipids and apolipoproteins differed minimally when measurements were performed on non-fasting compared to fasting blood samples, except for TG, which were higher when non-fasting. There was a > 4-fold increased risk of a cardiovascular event among individuals with postprandial TG concentrations peaking at 2-4 hours following a meal. This study showed that HDL-c, TG, total cholesterol/HDL-c ratio, and apolipoprotein B predict CVD when measured in non-fasting samples. By contrast, total cholesterol, LDL, and non-HDL cholesterol, in addition to apolipoprotein B-100 and B-100/A-I ratio, may provide less useful CVD risk information when measured non-fasting (53,54). In a Norwegian study which included 42,600 women and 43,641 men ages 20 – 50 years at inclusion, with a mean follow-up of 27 years, non-fasting TG were positively associated with CVD death in both genders, with hazard ratios being higher in women than in men. However, after adjustment for cholesterol, systolic blood pressure, and smoking, and in a sub-sample also HDL-c, the associations were distinctly attenuated (55). In another study, the Copenhagen City Heart Study, a prospective cardiovascular study of the Danish general population initiated in 1976, 7581 women and 6391 men who had lipids measured at baseline in 1976-1978, were followed for up to 31 years without losses to follow-up, and most were not taking lipid-lowering therapy. The study found that the cumulative incidence of myocardial infarction, ischemic heart disease, and death increased with increasing levels of non-fasting TG levels. Non-fasting TG level were a better predictor of coronary heart disease in women whereas non-fasting cholesterol level was a better predictor in men. However, non-fasting cholesterol levels were not found to be associated with total mortality (56,57). A Japanese study which included 4,988 participants with diabetes already on statin therapy, evaluated the relationship between fasting and non-fasting TGs and cardiovascular events.  It showed that cardiac events were associated with elevated fasting and non-fasting TG.   However, the study found that non-fasting TG was more helpful for risk assessment for future CVD instead of fasting TG (58). Data from these studies provide evidence for a link between non-fasting TG and cardiovascular disease and support the concept that non-fasting TG levels may strongly predict the risk of cardiovascular events.

 

Mechanisms by Which TG are a CVD Risk Factor

 

The exact mechanism by which TG may promote vascular disease remains to be elucidated. A possible explanation for TG being associated with increased CVD is that elevated levels of postprandial TG may indicate a high content of TRLs derived from chylomicrons and VLDL. Given their relatively small size, these TRLs can enter the arterial wall, and contribute to the formation of foam cells and thus cause atherosclerosis. The remnant particles under normal conditions are rapidly taken up by the liver. However, in people with the metabolic syndrome or T2DM, hepatic clearance of remnant particles can be delayed and thus there is a predisposition towards increased production of remnant particles and small dense LDL and HDL particles. Thus, increased production along with prolonged exposure of circulating remnant particles enhances the possibility for the particles to be trapped in the arterial wall. Accordingly, remnant lipoproteins have been shown to increase the risk of atherosclerotic heart disease. This suggests a need to direct attention towards diagnosis and treatment of high TG levels in conjunction with treating high cholesterol levels (59). These studies also draw importance to further investigate independent association of fasting and non-fasting hypertriglyceridemia in CVD.

 

PREVALENCE AND ASSESMENT OF HYPERTRIGLYCERIDEMIA

 

Prevalence of Hypertriglyceridemia

 

There is high prevalence of hypertriglyceridemia in the US which necessitates periodic assessment of TG levels, especially in individuals with increased risk. A study looking at 5680 subjects, greater than or equal to 20 years of age who participated in the National Health and Nutrition Examination Survey from 2001 and 2006 evaluated the epidemiology of adults with hypertriglyceridemia. This study reports about 67.8% of the study participants had a normal TG level (<150 mg/dL), 14.2% had borderline high TG levels (150 – 200 mg/dL) and 16.3% had high TG levels (200 - 500 mg/dL). The prevalence of severe high TG (500 – 2000 mg/dL) was noted to be 1.7% equating to about 2.4 million Americans. Three participants were noted to have TG levels > 2000 mg/dL. The participants with severe high TG tended to be men (75.3%), non-Hispanic whites (70.1%), and aged 40 to 59 years (58.5%), and more than 14% of those reported having diabetes mellitus, and 31.3% reported having hypertension (60). A study published in 2018 surveyed 9593 American adults between 2007-2014 to determine the TG levels in patients taking and not taking a statin. It showed almost one-third of people taking statins have unsatisfactory TG levels, as well as one-fourth of overall US adults (61).

 

Assessment of Hypertriglyceridemia

 

Plasma lipids and lipoproteins are generally measured in the fasting state and guidelines for therapy for CVD prevention are based on these measurements. The Endocrine Society clinical practice guidelines on evaluation and treatment of hyperlipidemia suggest diagnosis of hypertriglyceridemia based on fasting levels where length of fast is recommended to be 12 hours (8). In insulin resistant states postprandial TG may be more relevant to CVD risk. To assess postprandial TG there is a need to identify an accurate and standardized methodology to measure postprandial triglycerides and TRLs. Currently, the lack of standardization of non-fasting TG measurements, lack of specific reference ranges, and the variability of postprandial lipid measurements have hampered their routine clinical use (62). A Fat Tolerance Test (FTT) has been used to assess post prandial lipoproteins.  An expert panel suggests that individuals with fasting TG concentrations between 1-2 mmol/l (89-180 mg/dL) would have better risk assessment by being tested with a FTT than with just fasting TG.  Individuals with fasting TG concentration of less than 1 mmol/l (88.5 mg/dL) commonly do not have exaggerated and delayed response of TGs to a FTT, whereas individuals with elevated fasting TG values above 2 mmol/l (180 mg/dL) are expected to have an exaggerated and delayed response of TG to a FTT. These two patient populations would not benefit from a FTT for better risk assessment(63).

 

Fat Tolerance Testing 

 

Given that humans spend most of their awake time in a post prandial state, various factors including fasting concentrations of serum TGs, time of the day when test is undertaken, the fat content and quality of FTT need to be considered. An expert panel statement recommends measuring total TGs to evaluate the post prandial lipemia response 4 hours after a standardized FTT performed after an 8 hour fast. There has been significant variability in the fat- rich meals used for FTT ranging from dairy products, eggs, oils, to liquid formulations. An expert panel suggests a FTT meal consisting of 75 g fat including both saturated and unsaturated fatty acids (63). ApoB-48 is an alternative marker for the assessment of post prandial hypertriglyceridemia as it measures the number of circulating chylomicrons and their remnants after a meal (there is one ApoB-48 per chylomicron particle). The level of ApoB-48 is very low compared to ApoB-100 in the fasting state but it increases after a FTT. However, the lack of internationally recognized standardized assays and reference ranges, limited availability of the ApoB-48 assay, and high costs limit the utilization of ApoB-48 in clinical settings (62,64).

 

Secondary Causes of Hypertriglyceridemia

 

Individuals found to have any elevation of fasting TG should be evaluated for secondary causes including endocrine conditions and medications (Table 1) (65,66). Patients with untreated diabetes, obesity, and insulin resistant states commonly have elevated TG levels (67,68). Other endocrine disorders such as hypothyroidism, Cushing’s disease, and growth hormone deficiency can also be associated with elevated TG levels (8). TG levels can also significantly increase during pregnancy owing to estrogen-induced stimulation of the secretion of hepatic TRLs (69). In women with underlying disorders of TG metabolism, this increase in TG levels during pregnancy can be associated with pancreatitis and fetal loss. Alcohol intake increases hepatic fatty acid synthesis and decreases breakdown resulting in increased hepatic VLDL secretion and hypertriglyceridemia. Lipodystrophies, either primary or as seen in HIV treated patients or with other diseases is also associated with hypertriglyceridemia (8). There are several monogenic autosomal recessive disorders that lead to hypertriglyceridemia (table 1). LPL deficiency, apo CII deficiency, and GPIHBP1 loss of function mutations (or antibodies to LPL or GPIHBP1) are associated with impaired LPL activity and present in young patients with an increased risk of chylomicronemia and pancreatitis. Additional genetic syndromes in the differential diagnosis of hypertriglyceridemia include mixed or familial combined hyperlipidemia (FCHL), type III dysbetalipoproteinemia, and familial hypertriglyceridemia (FHTG) (70). Many patients have multiple genetic variants and combined with environmental factors, can cause hypertriglyceridemia. However, a study with 563 patients with severe hypertriglyceridemia showed that 14.4% had heterozygous rare variants known to cause hypertriglyceridemia while 3.8% of the control group had these variants as well indicating that these variants are incompletely or partly penetrant. Polygenic risk can now be assessed by a polygenic score.  An elevated score increases the probability of developing hypertriglyceridemia, but it is not an absolute predictor of developing hypertriglyceridemia (71). Many drugs also raise triglyceride levels (table 1). Oral estrogens increase the hepatic secretion of VLDL causing an increase in serum TG levels (72). Other medications include Tamoxifen/Raloxifene, retinoids, beta blockers, thiazide inhibitors, corticosteroids, immunosuppressants, antipsychotics, and antiretroviral protease inhibitors (8). Clomiphene which has been successfully used to aid fertility in women with certain anovulatory disorders, is a synthetic estrogen analog whose biochemical structure is similar to that of tamoxifen. It has been noted to induce severe hypertriglyceridemia and pancreatitis in patients with baseline hypertriglyceridemia (73). If possible, individuals with secondary hypertriglyceridemia should have the secondary cause addressed, and such individuals may then not need primary, TG-lowering therapy. However, secondary causes of hypertriglyceridemia cannot always be addressed, in which case providers should consider TG-lowering therapy.

 

Table 1. Causes of Hypertriglyceridemia

Disorders

Drugs

Monogenic*

Hypothyroidism

Uncontrolled Diabetes

Obesity

Chronic renal failure

Nephrotic syndrome

Pregnancy

HIV

Cushing’s syndrome

Lipodystrophy

Inflammatory disease – rheumatoid arthritis, lupus, psoriasis, etc.

Alcohol

Estrogens

Beta blockers

Tamoxifen/Raloxifene

Glucocorticoids

Atypical anti-psychotics

Cyclosporine

Protease inhibitors

Clomiphene

Lipoprotein lipase deficiency

Apolipoprotein CII deficiency

Apolipoprotein AV deficiency

GPIHBP1 deficiency

Lipase Maturation factor 1 (LMF1)

*autosomal recessive disorders

 

GUIDELINES FOR TRIGLYCERIDE EVALUTION AND MANAGEMENT

 

The Endocrine Society Clinical Guidelines

 

The Endocrine Society Guidelines recommend that the diagnosis of hypertriglyceridemia be based on fasting serum triglyceride levels and defines TG levels of 150 to 199 mg/dL as mild hypertriglyceridemia; 200 to 999 mg/dL as moderate; 1,000 to 1,999 mg/dL as severe; and 2,000 mg/dL or greater as very severe hypertriglyceridemia. The screening for elevated TG levels for all adults is recommended as part of a lipid panel at least every five years. These guidelines recommend against the routine measurement of lipoprotein particle heterogeneity. The guidelines also recommend screening patients with hypertriglyceridemia for secondary causes (medications, alcohol use, endocrine diseases, renal disease, liver disease) and that patients with primary hyperlipidemia be evaluated for family history of dyslipidemia and CVD. The guidelines recommend the use of non-HDL-c (goal 30 mg/dL higher than the LDL-c goal) for both risk stratification and as a target for therapy in patients with moderate hypertriglyceridemia. Initial treatment of patients with mild to moderate hypertriglyceridemia should include lifestyle therapy. For patients with severe to very severe hypertriglyceridemia, dietary modifications in combination with drug treatment should be considered. A fibrate is recommended as a first-line agent in patients with severe or very severe hyperlipidemia (8).

 

American Association Of Clinical Endocrinologists (AACE) Guidelines

 

Similar to other guidelines, the AACE clinical practice guidelines recommend evaluating all adults >20 years of age for dyslipidemia every 5 years for risk assessment with a fasting (9 to 12-hour fast) lipid profile. In addition, it recommends more frequent assessments for patients with a family history of premature CVD. However, unlike other guidelines, AACE also recommends Apo B measurements to assess for residual risk in patients with increased TG levels (>150 mg/dL) or low HDL-c levels (< 40 mg/dL). TG levels less than 150 mg/dL are defined as normal, 150 – 199 mg/dL as borderline high, 200 – 499 mg/dL as high, and levels >500 mg/dL or greater as very high, and AACE recommends maintaining TG levels less than 150 mg/dL. Fibrates are recommended for the treatment of severe hypertriglyceridemia (>500 mg/dL) and lifestyle changes including physical activity, weight loss, and smoking cessation are recommended as first line therapy in moderate hypertriglyceridemia (74). For adults with hypertriglyceridemia and ASCVD or at increased risk of ASCVD, the use of eicosapentaenoic acid (EPA) is recommended in addition to statins, but not combinations of EPA and docosahexaenoic acid (DHA), and niacin use is strongly discouraged. There is insufficient evidence to support pharmacologic treatment recommendations for adults with severe hypertriglyceridemia (≥500 mg/dL) (75).

 

American College of Cardiology (ACC) Statement on Triglycerides and Cardiovascular Disease

 

In 2021 the ACC published an Expert Consensus Decision Pathway on the management of ASCVD risk reduction in patients with persistent hypertriglyceridemia. In this statement, persistent hypertriglyceridemia is defined as fasting triglycerides ≥150 mg/dL despite 4–12 weeks of lifestyle changes, stable use of maximally tolerated statins (if indicated), and management of secondary causes. Before starting non-statin therapies, at least two fasting lipid panels taken at least two weeks apart should guide clinical decisions. Both fasting and non-fasting lipid profiles are acceptable for ASCVD risk assessment in adults not on lipid-lowering therapy. However, fasting lipid testing is preferred when: a) Diagnosing metabolic syndrome (requires fasting triglycerides ≥150 mg/dL); b) Evaluating lipid disorders in those with a family history of premature ASCVD or genetic lipid disorders; c) Monitoring response to lifestyle or medication therapy in patients on lipid-lowering treatment; and d) Identifying and managing triglycerides ≥500 mg/dL to assess pancreatitis risk. In most people, postprandial triglyceride increases are modest. For non-fasting triglycerides ≥400 mg/dL, a repeat fasting test is advised. The expert panel supported the 2018 AHA/ACC guidelines on lifestyle changes, statins, and LDL-C–lowering therapies, and assessed the added benefit of triglyceride-lowering non-statin treatments across four patient groups: a) Secondary prevention in patients with ASCVD and triglycerides ≥150 mg/dL (fasting) or ≥175 mg/dL (non-fasting), but <500 mg/dL.
b) Diabetes (≥40 years) with no ASCVD, with similar triglyceride thresholds c) No ASCVD or diabetes (≥20 years) with similar triglyceride thresholds. d) Severe hypertriglyceridemia (≥20 years) with triglycerides ≥500 mg/dL, especially ≥1,000 mg/dL. Treatment options for these patient groups includes a combination of intensive lifestyle modifications, optimization of statin therapy, and, when appropriate, the addition of fibrates or omega-3 fatty acids to help manage triglyceride levels and reduce ASCVD risk (76).  

 

National Lipid Association (NLA)

 

The National Lipid Association guidelines recommend obtaining a fasting or a non-fasting lipoprotein profile in all adults (>20 years) every 5 years. It defines TG level of <150 mg/dL as normal, 150 – 199 mg/dL borderline high, 200 – 499 mg/dL as high and levels of >500 mg/dL as very high. The NLA Expert Panel views non-HDL-c as a better primary target for medication than LDL-c and recommends levels of non-HDL-c < 130 mg/dL as the desirable level of atherogenic cholesterol for primary prevention of CVD and non-HDL-c <100 mg/dL for high-risk patients or patients with ASCVD.  An elevated TG level is not a target of therapy, except when very high (>500 mg/dL). NLA recommends that when TG levels are between 200 – 499 mg/dL, the targets of therapy are non-HDL-c and LDL-c to reduce risk of CVD events and when TG levels are very high (>500 mg/dL, and especially if >1000 mg/dL), reducing the concentration to <500 mg/dL to prevent pancreatitis becomes the primary goal. The NLA recommends lifestyle interventions as first step in efforts to reduce triglycerides. If drug therapy is indicated NLA guidelines recommend using fibric acids, omega-3 fatty acids, or nicotinic acid as first line agents if fasting TG level is >1000 mg/dL. For patients with TG levels of 500 – 999 mg/dL a triglyceride-lowering agent or a statin is considered reasonable and for TG level between 200 – 499 mg/dL a statin generally is considered fist-line drug therapy with addition of a  triglyceride-lowering agent if non-HDL-c is not at goal post initiation of statin (77).

 

European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) Guidelines

 

The ESC/EAS guidelines also recommend checking lipid levels in the fasting state. Triglyceride levels are classified as optimal (<1.2 mmol/L or <100 mg/dL), borderline (1.2–1.7 mmol/L or 100–150 mg/dL), moderately elevated (1.7–5.7 mmol/L or 150–500 mg/dL), severe (5.7–10.0 mmol/L or 500–880 mg/dL), and extreme (>10 mmol/L or >880 mg/dL). First-line management of hypertriglyceridemia includes dietary changes and weight loss. The 2019 ESC/EAS guidelines note increased ASCVD risk at triglycerides >1.7 mmol/L (150 mg/dL) but recommend starting pharmacotherapy only in high-risk patients with levels >2.3 mmol/L (200 mg/dL), after ruling out secondary causes. There are no specific triglyceride treatment targets, as evidence linking triglyceride lowering to ASCVD risk reduction is limited (78). Statins are recommended as first choice for high-risk individuals with hypertriglyceridemia (triglycerides >2.3 mmol/L or 200 mg/dL). In patients already at LDL-C goal on statins but with persistent triglycerides >2.3 mmol/L (200 mg/dL), fenofibrate or bezafibrate may be considered. For high-risk (or higher) patients with triglycerides >1.5 mmol/L (135 mg/dL) despite statins and lifestyle changes, omega-3 fatty acids (icosapent ethyl 2 g/day) may be considered in combination with statin therapy (79).

 

TG Assessment Strategies

 

The different guidelines in general recommend screening for lipids using a fasting lipid profile, screening for secondary causes of dyslipidemia, and focusing on lifestyle interventions as the first approach to lower elevated TG. A practical approach is to request fasting lipid panels on patients, but to obtain non-fasting (random) panels if fasting samples cannot be provided. For any patient with a TG level that is elevated (for example, > 200 mg/dL), screen for secondary causes and address these if possible. For significantly elevated TG (e.g., > 500 mg/dL) consider the addition of TG-lowering therapy, with the goal of preventing any further elevations increasing the risk for pancreatitis. For individuals with moderately elevated TG (e.g., 150-500mg/dL) then we recommend the consideration of TG-lowering therapy on an individual basis. For example, individuals with existing CVD or at high CVD risk, or those with very low HDL levels might be candidates for therapy, whereas in those with low CVD risk, or desirable HDL levels, additional focus on lifestyle interventions to lower TG may be the appropriate first line of therapy. The use of non-HDL cholesterol levels can help guide decisions.

 

MANANGEMENT OF HYPERTRIGLYCERIDEMIA

 

We recommend different therapeutic interventions for hypertriglyceridemia dependent on the underlying etiology and triglyceride level(s).

 

  • In patients with mild-to-moderate hypertriglyceridemia (150-499 mg/dL), statin therapy should be incorporated based on ASCVD risk. Eicosapentaenoic acid (EPA) ethyl ester can be added in adults on statins who have moderately elevated TG levels >150 mg/dL with ASCVD or diabetes plus 2 additional risk factors to reduce risk of cardiovascular disease.
  • For patients with multifactorial chylomicronemia syndrome, the primary goal of treatment focuses on achieving TG level below 500 mg/dL to prevent pancreatitis. This is achieved through fibrate therapy, with addition of omega-3 fatty acid. Niacin therapy can be added for further TG lowering, although this can worsen diabetes control.

 

  • Individuals with familial chylomicronemia syndrome are typically nonresponsive to fibrate and omega-3 fatty acid therapy due to complete absence of lipolytic activity. Historically these individuals were treated with a low-fat diet, restricted to 10-30 g/day of fat or 10-15% of calories as fat, with further limitation of long-chain fatty acids; however, we now suggest consideration of new drugs to suppress apoCIII to reduce TG levels in patients living with familial chylomicronemia syndrome.

 

A more detailed discussion of the above-mentioned therapeutic agents follows below.

 

Lifestyle Intervention

 

Studies have shown that the consumption of a Western diet which includes highly processed, calorie-dense and nutrient poor foods leads to an exaggerated lipemia. In addition, factors such as physical inactivity, cigarette smoking, excessive alcohol intake, and obesity worsen lipemia (63). Hence, the control of secondary factors and lifestyle changes are considered to be the first line approach of the clinical management of both fasting hypertriglyceridemia and post prandial hyperlipidemia. Appropriate dietary changes include limiting fat and simple sugar content, caloric restriction resulting in weight loss, restriction of alcohol intake, and increased exercise are fundamental for management of hypertriglyceridemia (62,63). The type of carbohydrate consumed may affect serum triglycerides and a diet rich in simple carbohydrates and sugar-sweetened beverages is associated with hypertriglyceridemia. As compared with starches, sugars, particularly sucrose and fructose, tend to increase serum triacylglycerol concentrations by about 60%. Because fructose bypasses a major rate-determining step in glycolysis, a high influx of fructose to the liver promotes triacylglycerol synthesis and VLDL production (80). The effects of sucrose or fructose on fasting TG may be more pronounced in men, sedentary overweight individuals, or those with the metabolic syndrome. Sucrose and fructose also increase postprandial TG levels and may augment the lipemia associated with fat-containing meals (81).  There is mounting evidence that physical activity lowers risk for CVD (82). Mestek et al. (83) reported that aerobic exercise lowered the postprandial TG response to a high fat meal in subjects with the metabolic syndrome. The effects of exercise in reducing postprandial lipemia are seen both acutely right after exercise as well as delayed effects through the next day. Additionally, exercise does not need to be a single continuous bout but instead could be spread out throughout the day. Accumulated physical activity appears to be as effective in lowering postprandial TGs concentrations as a single bout (84). The mechanisms leading to decreased TG levels post meals are not completely understood and need further investigation.

 

Statins

 

Statins are the most widely used lipid lowering agents and have beneficial effects on cardiovascular morbidity and mortality. Statins are effective in lowering non-HDL-c, mainly because of their LDL lowering action and to a certain extent lowering TG levels. The higher the baseline TG levels, the greater the TG lowering effect. Available data also indicate that statins can reduce postprandial TG values (66). Statins inhibit HMG-CoA reductase, hence up-regulate the LDL receptor due to the intracellular depletion of cholesterol in the liver. Increased numbers of LDL receptors may improve the removal of TRL remnants in postprandial state. It is also postulated that statins inhibit VLDL synthesis (85). Parhofer et al showed that 10 mg of atorvastatin per day for 4 weeks improves, but does not normalize, post prandial lipoprotein metabolism in hypertriglyceridemic patients (86). Other studies have also shown that atorvastatin improved fasting as well as postprandial lipemia (87,88).

 

Fibrates

 

Fibrates have the most pronounced effect on lowering plasma TG levels of the currently available lipid lowering therapies. Through activation of peroxisomal proliferator activated receptor (PPAR) alpha, fibrates decrease TGs by increasing LPL activity and decreasing apolipoprotein CIII production leading to increased lipolysis. Fibrates also increase fatty acid oxidation in the liver leading to a decrease in VLDL secretion (63). The Endocrine Society Clinical Practice Guidelines on Evaluation and Treatment of Hypertriglyceridemia recommend that a fibrate be used as a first line agent for reduction of TGs in patients at risk for triglyceride- induced pancreatitis (8). The ACCORD trial evaluated the benefit of adding fenofibrate to simvastatin therapy concluded that the addition of fenofibrate in patients with diabetes did not reduce the rate of CVD events. However, in the fenofibrate + simvastatin group there was a significant reduction in cardiovascular risk in the subgroup with clinically significant dyslipidemia marked by elevated TG levels and low HDL levels (43). Rosenson et al. reported that fenofibrate treatment for 6 weeks significantly decreased both postprandial hypertriglyceridemia and the inflammatory response after the ingestion of a test meal consisting of a milkshake including standardized fat content (68% of energy) that was adjusted to body surface area (50 g/m2) in patients with hypertriglyceridemia and the metabolic syndrome (89). In a small study (n = 10), bezafibrate was shown to significantly decrease postprandial endothelial dysfunction and elevations of both exogenous and endogenous triglycerides in patients with metabolic syndrome (90). The effects of fibrates in decreasing postprandial TRLs may play a role in their vascular protective effects.

 

Niacin

 

Niacin decreases TG levels and has pronounced effects on increasing HDL concentration. The mechanism of action of niacin remains unclear, but it is proposed that niacin decreases TG synthesis and hepatic secretion of VLDL. The Coronary Drug Project was a randomized controlled trial that looked at the role of immediate-release niacin as a solo agent for coronary prevention. The Coronary Drug Project showed that niacin was associated with a significant reduction in cardiovascular events (91,92).  Studies have shown that both immediate-release and extended-release niacin suppress postprandial hypertriglyceridemia (93,94). The Atherothrombosis Intervention in Metabolic Syndrome with Low HDL/High Triglycerides: Impact on Global Health Outcomes (AIM-HIGH) trial showed that the addition of niacin to statin therapy in patients with CVD and LDL cholesterol levels of less than 70 mg per deciliter had no incremental clinical benefit during a 36-month follow-up period, despite significant improvements in HDL cholesterol and TG levels (2). However, a trend towards benefit (hazard ratio 0.74; p=0.073) was found for the subset of patients with both the highest TG levels and lowest HDL levels (>198 and <33mg/dL respectively) (95). Lipids in this study were measured in fasting state. Similarly, the Heart Protection Study 2-Treatment of HDL to Reduce the Incidence of Vascular Events (HPS2 –THRIVE) study, which compared niacin + laropiprant (a prostaglandin D2 receptor antagonist used as an anti-flushing agent) + statin vs statin alone did not find added benefit of niacin. However, this lack of additional benefit may be related to the patient population studied which did not have elevated TG levels (96) and a possible benefit may be seen for subjects with both elevated TG and low HDL. Further studies are needed to access the effects of niacin on hypertriglyceridemia in metabolic syndrome and patients with T2DM.

 

Ezetimibe

 

Ezetimibe is a cholesterol lowering agent that inhibits the intestinal absorption of cholesterol (97). Recent studies show that ezetimibe alone or in conjunction with statins also reduces postprandial hypertriglyceridemia. Masuda, et al. showed that ezetimibe significantly decreased TGs in the fasting state along with a decrease in postprandial elevations of cholesterol and TG levels in the chylomicrons (CM) size range, suggesting that the postprandial production of CM particles was suppressed by ezetimibe (98). In a study by Olijhoek et al, combination therapy with low dose simvastatin and ezetimibe was shown to preserve post-fat load endothelial function when compared to treatment with high-dose simvastatin monotherapy in male metabolic syndrome patients (99). The Improved Reduction of Outcomes: Vytorin Efficacy International trial (IMPROVE-IT), a multicenter, randomized, double-blind trial of 18,144 moderate-high risk patients stabilized following ACS, was conducted to investigate if the addition of ezetimibe to a statin improves cardiovascular outcomes relative to statin monotherapy in these patients. The results from this study suggest that the addition of ezetimibe to statin therapy improves cardiovascular outcomes, but likely via further LDL-c lowering (100).

 

Fish Oil

 

Omega 3 polyunsaturated fatty acids (PUFAs) have dose dependent TG lowering effects resulting from variety of mechanisms including decreased VLDL secretion and improved VLDL TG clearance (101). In the Japan EPA Lipid Intervention Study (JELIS) trial, 18,645 patients in Japan were recruited between 1996 and 1999 and assigned to receive either 1800 mg of eicosapentaenoic acid (EPA) daily with statin or statin only. A 19% relative reduction in major coronary events (p = 0.011) was seen in patients in the EPA group. Unstable angina and non-fatal coronary events were significantly reduced; however, sudden cardiac death and coronary death did not differ between the groups (102). As discussed above, REDUCE-IT and STRENGTH studied the effects of high dose omega-3 fatty acids and had differing results. The REDUCE-IT trail with 8,179 patients showed a decrease in major cardiac events with high dose icosapent ethyl (4g/d EPA), while the STRENGTH trial with 13,086 patients showed no effects on cardiac events with high dose EPA/DHA carboxylic acid (4g/d) (47,48).

 

A few studies have examined the effects of fish oil supplementation on postprandial lipemia and found that fish oil use decreases fasting and postprandial triglyceride levels (103,104). A study looking at the effect of fish oil, exercise and the combined treatments on fasting and postprandial chylomicron metabolism showed that combining fish oil with chronic exercise, reduced the plasma concentration of pro-atherogenic chylomicron remnants; in addition it reduced the fasting and postprandial TG response in viscerally obese insulin resistant subjects (105).

 

For additional information on drugs to treat hyperlipidemia see the chapters on triglyceride lowering drugs and cholesterol lowering drugs in Endotext (106,107).

 

Therapies Targeting APOC3

 

APOC3 is a CVD risk factor due to its association with increased triglyceride levels. Antisense oligonucleotides (ASOs) are novel therapeutic agents that bind mRNA leading to its degradation. An ASO to APOC3 was found to lower APOC3 and triglyceride levels. A RCT evaluating this ASO in patients with hypertriglyceridemia (fasting triglyceride levels between 350-2000 mg/dL if not on triglyceride-lowering therapy, or 225-2000 mg/dL if on a fibrate) found that it led to reductions in triglyceride levels of 30-71% over the 13-week trial period. After the ASO was discontinued triglyceride levels returned towards baseline levels over the next 13 weeks. There were no safety concerns in this trial (108).

 

Volanesorsen is an antisense oligonucleotide inhibitor of apolipoprotein CIII (apoCIII) mRNA, designed to decrease triglycerides by reducing hepatic apoCIII production (109). In Europe, Volanesorsen was approved in 2019 for the treatment of adults with genetically confirmed familial chylomicronemia syndrome (FCS) at high risk of pancreatitis and for which diet and triglyceride lowering therapy was insufficient. In the US, Volanesorsen received orphan drug status in 2015. Two multicenter international phase three randomized, placebo-controlled, double-blind trials, COMPASS and APPROACH, evaluated the efficacy and safety of Volanesorsen in patients with multifactorial severe hypertriglyceridemia or FCS (110,111). Injection-site reactions and thrombocytopenia were observed in both studies. In the APPROACH trial 77% of individuals who received 300 mg volanesorsen subcutaneously once weekly, had fasting triglyceride levels less than 750 mg/dL compared to 10% in the placebo group at 3 months (OR, 186.16; 95% CI, 12.86 to could not be estimated; P<0.001) (111). A common side effect with volanesorsen is thrombocytopenia and it is currently only approved for use in Europe. Volanesorsen at 300 mg once weekly, decreased mean fasting plasma triglyceride concentration by 71.2% (95% CI-79.3 to -63.2) after 3 months of therapy compared to 0.9% (-13.9 to 12.2) in participants in the placebo group (p<0.0001) in the COMPASS trial (110). Inhibition of APOC3 may be a therapeutic option in individuals with LPL deficiency (112); at present there are no effective therapies except for extreme dietary restrictions for these individuals.

 

Olezarsen (Tryngolza™) is another antisense oligonucleotide inhibitor of apoCIII manufactured by Ionis Pharmaceuticals, Inc. and FDA approved for treatment of FCS as an adjunct to diet on December 19, 2024. The composition of olezarsen incorporates the nucleotide sequence and backbone chemical composition found in volanesorsen, differing only by inclusion of Triantennary N-acetylgalactosamine (GalNAc3) (113). GalNAc3 is a carbohydrate ligand for asialoglycoprotein receptors found on the surface of hepatocytes which promotes uptake of the drug into hepatocyte nuclei where olezarsen binds APOC3 mRNA prompting degradation by ribonuclease H1-mediated cleavage of the sense strand. The BALANCE trial was a multicenter international Phase III, randomized, double-blinded, placebo-controlled study examining the safety and efficacy of olezarsen (113). Participants were assigned to receive 50 or 80 mg olezarsen, or a placebo every 4 weeks for 49 weeks. Fasting triglycerides at 6-months were significantly decreased in the 80 mg cohort as compared with placebo (−43.5 percentage points; 95% confidence interval [CI], −69.1 to −17.9; P<0.001) but not with the 50-mg dose (−22.4 percentage points;95% CI, −47.2 to 2.5; P = 0.08).

 

Plozasiran (ARO-APOC3) is a small interfering RNA (siRNA) therapy targeting cytoplasmic APOC3 mRNA, differing from nucleus-acting drugs like volanesorsen and olezarsen (114). In the phase 3 PALISADE trial involving patients with FCS with severe hypertriglyceridemia, plozasiran significantly reduced triglyceride levels by up to 80%, independent of sex or genetic background. At 10 months, reductions in median triglyceride levels of 2044 mg/dL (23.0 mmol/L) reached −80 and −78% in the 25 and 50 mg plozasiran groups, respectively (p < 0.001) (115). It also lowered non-HDL cholesterol and increased HDL and LDL cholesterol (with LDL remaining below 55 mg/dL). The treatment reduced the risk of acute pancreatitis and showed a similar safety profile to placebo, though it caused a transient rise in liver enzymes and a possible increase in HbA1c in diabetic or prediabetic patients. Plozasiran has been designated an orphan drug by the EMA and received FDA breakthrough therapy status in 2024. A phase 3 cardiovascular outcomes trial is planned.

 

Inhibition of APOC3 may be a therapeutic option in individuals with LPL deficiency (112); at present there are no effective therapies except for extreme dietary restrictions for these individuals.

 

Therapies Targeting ANGPTL3

 

ANGPTL3 is another potential target for triglyceride lowering. Genetic causes of decreased activity are associated with lower TG, HDL, and LDL levels as well as a decreased risk for CVD. A small trial using a human monoclonal antibody to target ANGPTL3 reported decreases in triglycerides up to 76% (20).  A recent study by Harada-Shiba et al, a phase 1 study took a total of 96 Caucasian and Japanese patients and randomized them to receive varying doses and routes of evinacumab or placebo. In the evinacumab cohorts, reduced TGs were rapidly seen in a dose-dependent manner. The study showed no serious or severe treatment emergent adverse events (116). Further clinical trials using either monoclonal antibody or antisense technology are ongoing. Zodasiran, a GalNAc-conjugated siRNA targeting ANGPTL3 mRNA, was evaluated in the phase 2 ARCHES-2 trial involving 204 patients with mixed hyperlipidemia. It produced dose-dependent triglyceride reductions of up to 63%, with 88% of patients on the highest dose (200 mg) achieving target TG levels. The treatment also lowered LDL-C, non-HDL-C, HDL-C, remnant cholesterol, lipoprotein(a), and apoB, though LDL-C reductions were less in patients with higher baseline TG levels. Zodasiran was generally well tolerated, with no major safety concerns. A transient HbA1c rise and increased urinary tract infections were observed in diabetic patients at the highest dose (117).

 

New Agents on the Horizon

 

FGF21 is a key metabolic regulator that enhances insulin sensitivity, promotes fatty acid oxidation, and facilitates triglyceride-rich lipoprotein (TRL) clearance, ultimately lowering non-HDL cholesterol and improving atherosclerosis in animal models (118-120). Its analog, pegozafermin, developed to extend FGF21’s half-life and reduce off-target effects, significantly reduced triglycerides (up to 54%) and increased HDL-C in clinical trials involving patients with elevated triglycerides (121) . In the phase 2 ENTRIGUE trial, nearly 80% of treated patients achieved TG levels below 500 mg/dL, with additional improvements in apoB, apoC-III, and HDL-C (122). Pegozafermin was well tolerated, with only mild-to-moderate GI side effects. A phase 3 trial (ENTRUST) is ongoing to further evaluate its long-term efficacy and safety.

 

Weight Management Therapies and Hypertriglyceridemia

 

Please see other chapters for further discussion of the role of weight management (68).

 

CONCLUSION

 

Recent data strongly indicate that fasting as well as non-fasting hypertriglyceridemia is a risk factor for atherosclerosis and CVD. Current treatment goals aimed at lowering LDL-c still do not eliminate residual risk of CVD. Current guidelines focus mainly on LDL-c levels and correction of hypertriglyceridemia is not the focus of current treatment. However, focus on elevated hypertriglyceridemia deserves renewed attention, particularly as one-third of all adults in the United States suffer from elevated TG and growing number of people are diagnosed with metabolic syndrome or T2DM. There is a need for more studies specifically testing the benefits of lowering hypertriglyceridemia. Additionally, the usefulness of “fat tolerance test” using a standardized meal, analogous to a glucose tolerance test, warrants further evaluation as potential indicator of a metabolic state identifying individuals at higher risk for cardiovascular events. Given the association with CVD, elevated postprandial TGs levels may represent a particularly attractive therapeutic target and further studies particularly looking at the effect of various lipid lowering agents on postprandial along with fasting TGs are necessary.

 

Table 2. Targeted Treatment of Hypertriglyceridemia

 

Primary Treatment

Secondary Treatment

ASCVD (150-499 mg/dL)

Statin

Omega-3 Fatty Acid

MFCS

Fibrate

Omega-3 Fatty Acid, Niacin

FCS

Olezarsen

 

 

REFERENCES

 

  1. Chapman MJ, Ginsberg HN, Amarenco P, Andreotti F, Boren J, Catapano AL, Descamps OS, Fisher E, Kovanen PT, Kuivenhoven JA, Lesnik P, Masana L, Nordestgaard BG, Ray KK, Reiner Z, Taskinen MR, Tokgozoglu L, Tybjaerg-Hansen A, Watts GF, European Atherosclerosis Society Consensus P. Triglyceride-rich lipoproteins and high-density lipoprotein cholesterol in patients at high risk of cardiovascular disease: evidence and guidance for management. Eur Heart J. 2011;32(11):1345-1361.
  2. Boden WE, Probstfield JL, Anderson T, Chaitman BR, Desvignes-Nickens P, Koprowicz K, McBride R, Teo K, Weintraub W. Niacin in patients with low HDL cholesterol levels receiving intensive statin therapy. N Engl J Med. 2011;365(24):2255-2267.
  3. Talayero BG, Sacks FM. The role of triglycerides in atherosclerosis. Curr Cardiol Rep. 2011;13(6):544-552.
  4. Hokanson JE, Austin MA. Plasma triglyceride level is a risk factor for cardiovascular disease independent of high-density lipoprotein cholesterol level: a meta- analysis of population-based prospective studies. J Cardiovasc Risk. 1996;3(2):213-219.
  5. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). Jama. 2001;285(19):2486-2497.
  6. Abdel-Maksoud M, Sazonov V, Gutkin SW, Hokanson JE. Effects of modifying triglycerides and triglyceride-rich lipoproteins on cardiovascular outcomes. J Cardiovasc Pharmacol. 2008;51(4):331-351.
  7. Zilversmit DB. Atherogenesis: a postprandial phenomenon. Circulation. 1979;60(3):473-485.
  8. Berglund L, Brunzell JD, Goldberg AC, Goldberg IJ, Sacks F, Murad MH, Stalenhoef AF, Endocrine s. Evaluation and treatment of hypertriglyceridemia: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(9):2969-2989.
  9. Murad MH, Hazem A, Coto-Yglesias F, Dzyubak S, Gupta S, Bancos I, Lane MA, Erwin PJ, Berglund L, Elraiyah T, Montori VM. The association of hypertriglyceridemia with cardiovascular events and pancreatitis: a systematic review and meta-analysis. BMC Endocr Disord. 2012;12:2.
  10. Champe P. Cholesterol and Steroid Metabolism. Vol 3rd Edition. Philadelphia: Lippincott Williams & Wilkins.
  11. Melmed S. Disorders of Lipid Metabolism. Williams Textbook of Endocrinology. Philadelphia: Elsevier/Saunders; 2011.
  12. Feingold KR, Grunfeld C. Introduction to Lipids and Lipoproteins. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  13. Adiels M, Olofsson SO, Taskinen MR, Boren J. Overproduction of very low-density lipoproteins is the hallmark of the dyslipidemia in the metabolic syndrome. Arterioscler Thromb Vasc Biol. 2008;28(7):1225-1236.
  14. Mendivil CO, Rimm EB, Furtado J, Chiuve SE, Sacks FM. Low-density lipoproteins containing apolipoprotein C-III and the risk of coronary heart disease. Circulation. 2011;124(19):2065-2072.
  15. Ooi EM, Barrett PH, Chan DC, Watts GF. Apolipoprotein C-III: understanding an emerging cardiovascular risk factor. Clinical science. 2008;114(10):611-624.
  16. Sacks FM, Alaupovic P, Moye LA, Cole TG, Sussex B, Stampfer MJ, Pfeffer MA, Braunwald E. VLDL, apolipoproteins B, CIII, and E, and risk of recurrent coronary events in the Cholesterol and Recurrent Events (CARE) trial. Circulation. 2000;102(16):1886-1892.
  17. Jorgensen AB, Frikke-Schmidt R, Nordestgaard BG, Tybjaerg-Hansen A. Loss-of-function mutations in APOC3 and risk of ischemic vascular disease. N Engl J Med. 2014;371(1):32-41.
  18. Pollin TI, Damcott CM, Shen H, Ott SH, Shelton J, Horenstein RB, Post W, McLenithan JC, Bielak LF, Peyser PA, Mitchell BD, Miller M, O'Connell JR, Shuldiner AR. A null mutation in human APOC3 confers a favorable plasma lipid profile and apparent cardioprotection. Science. 2008;322(5908):1702-1705.
  19. Tg, Hdl Working Group of the Exome Sequencing Project NHL, Blood I, Crosby J, Peloso GM, Auer PL, Crosslin DR, Stitziel NO, Lange LA, Lu Y, Tang ZZ, Zhang H, Hindy G, Masca N, Stirrups K, Kanoni S, Do R, Jun G, Hu Y, Kang HM, Xue C, Goel A, Farrall M, Duga S, Merlini PA, Asselta R, Girelli D, Olivieri O, Martinelli N, Yin W, Reilly D, Speliotes E, Fox CS, Hveem K, Holmen OL, Nikpay M, Farlow DN, Assimes TL, Franceschini N, Robinson J, North KE, Martin LW, DePristo M, Gupta N, Escher SA, Jansson JH, Van Zuydam N, Palmer CN, Wareham N, Koch W, Meitinger T, Peters A, Lieb W, Erbel R, Konig IR, Kruppa J, Degenhardt F, Gottesman O, Bottinger EP, O'Donnell CJ, Psaty BM, Ballantyne CM, Abecasis G, Ordovas JM, Melander O, Watkins H, Orho-Melander M, Ardissino D, Loos RJ, McPherson R, Willer CJ, Erdmann J, Hall AS, Samani NJ, Deloukas P, Schunkert H, Wilson JG, Kooperberg C, Rich SS, Tracy RP, Lin DY, Altshuler D, Gabriel S, Nickerson DA, Jarvik GP, Cupples LA, Reiner AP, Boerwinkle E, Kathiresan S. Loss-of-function mutations in APOC3, triglycerides, and coronary disease. N Engl J Med. 2014;371(1):22-31.
  20. Dewey FE, Gusarova V, Dunbar RL, O'Dushlaine C, Schurmann C, Gottesman O, McCarthy S, Van Hout CV, Bruse S, Dansky HM, Leader JB, Murray MF, Ritchie MD, Kirchner HL, Habegger L, Lopez A, Penn J, Zhao A, Shao W, Stahl N, Murphy AJ, Hamon S, Bouzelmat A, Zhang R, Shumel B, Pordy R, Gipe D, Herman GA, Sheu WHH, Lee IT, Liang KW, Guo X, Rotter JI, Chen YI, Kraus WE, Shah SH, Damrauer S, Small A, Rader DJ, Wulff AB, Nordestgaard BG, Tybjaerg-Hansen A, van den Hoek AM, Princen HMG, Ledbetter DH, Carey DJ, Overton JD, Reid JG, Sasiela WJ, Banerjee P, Shuldiner AR, Borecki IB, Teslovich TM, Yancopoulos GD, Mellis SJ, Gromada J, Baras A. Genetic and Pharmacologic Inactivation of ANGPTL3 and Cardiovascular Disease. N Engl J Med. 2017;377(3):211-221.
  21. Leaf DA. Chylomicronemia and the chylomicronemia syndrome: a practical approach to management. Am J Med. 2008;121(1):10-12.
  22. Lindkvist B, Appelros S, Regner S, Manjer J. A prospective cohort study on risk of acute pancreatitis related to serum triglycerides, cholesterol and fasting glucose. Pancreatology. 2012;12(4):317-324.
  23. Sandhu S, Al-Sarraf A, Taraboanta C, Frohlich J, Francis GA. Incidence of pancreatitis, secondary causes, and treatment of patients referred to a specialty lipid clinic with severe hypertriglyceridemia: a retrospective cohort study. Lipids Health Dis. 2011;10:157.
  24. Murphy MJ, Sheng X, MacDonald TM, Wei L. Hypertriglyceridemia and acute pancreatitis. JAMA Intern Med. 2013;173(2):162-164.
  25. Christian JB, Arondekar B, Buysman EK, Jacobson TA, Snipes RG, Horwitz RI. Determining triglyceride reductions needed for clinical impact in severe hypertriglyceridemia. Am J Med. 2014;127(1):36-44 e31.
  26. Patel A, Barzi F, Jamrozik K, Lam TH, Ueshima H, Whitlock G, Woodward M, Asia Pacific Cohort Studies C. Serum triglycerides as a risk factor for cardiovascular diseases in the Asia-Pacific region. Circulation. 2004;110(17):2678-2686.
  27. Sarwar N, Danesh J, Eiriksdottir G, Sigurdsson G, Wareham N, Bingham S, Boekholdt SM, Khaw KT, Gudnason V. Triglycerides and the risk of coronary heart disease: 10,158 incident cases among 262,525 participants in 29 Western prospective studies. Circulation. 2007;115(4):450-458.
  28. Varbo A, Benn M, Tybjaerg-Hansen A, Jorgensen AB, Frikke-Schmidt R, Nordestgaard BG. Remnant cholesterol as a causal risk factor for ischemic heart disease. J Am Coll Cardiol. 2013;61(4):427-436.
  29. Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, Johansen CT, Fouchier SW, Isaacs A, Peloso GM, Barbalic M, Ricketts SL, Bis JC, Aulchenko YS, Thorleifsson G, Feitosa MF, Chambers J, Orho-Melander M, Melander O, Johnson T, Li X, Guo X, Li M, Shin Cho Y, Jin Go M, Jin Kim Y, Lee JY, Park T, Kim K, Sim X, Twee-Hee Ong R, Croteau-Chonka DC, Lange LA, Smith JD, Song K, Hua Zhao J, Yuan X, Luan J, Lamina C, Ziegler A, Zhang W, Zee RY, Wright AF, Witteman JC, Wilson JF, Willemsen G, Wichmann HE, Whitfield JB, Waterworth DM, Wareham NJ, Waeber G, Vollenweider P, Voight BF, Vitart V, Uitterlinden AG, Uda M, Tuomilehto J, Thompson JR, Tanaka T, Surakka I, Stringham HM, Spector TD, Soranzo N, Smit JH, Sinisalo J, Silander K, Sijbrands EJ, Scuteri A, Scott J, Schlessinger D, Sanna S, Salomaa V, Saharinen J, Sabatti C, Ruokonen A, Rudan I, Rose LM, Roberts R, Rieder M, Psaty BM, Pramstaller PP, Pichler I, Perola M, Penninx BW, Pedersen NL, Pattaro C, Parker AN, Pare G, Oostra BA, O'Donnell CJ, Nieminen MS, Nickerson DA, Montgomery GW, Meitinger T, McPherson R, McCarthy MI, McArdle W, Masson D, Martin NG, Marroni F, Mangino M, Magnusson PK, Lucas G, Luben R, Loos RJ, Lokki ML, Lettre G, Langenberg C, Launer LJ, Lakatta EG, Laaksonen R, Kyvik KO, Kronenberg F, Konig IR, Khaw KT, Kaprio J, Kaplan LM, Johansson A, Jarvelin MR, Janssens AC, Ingelsson E, Igl W, Kees Hovingh G, Hottenga JJ, Hofman A, Hicks AA, Hengstenberg C, Heid IM, Hayward C, Havulinna AS, Hastie ND, Harris TB, Haritunians T, Hall AS, Gyllensten U, Guiducci C, Groop LC, Gonzalez E, Gieger C, Freimer NB, Ferrucci L, Erdmann J, Elliott P, Ejebe KG, Doring A, Dominiczak AF, Demissie S, Deloukas P, de Geus EJ, de Faire U, Crawford G, Collins FS, Chen YD, Caulfield MJ, Campbell H, Burtt NP, Bonnycastle LL, Boomsma DI, Boekholdt SM, Bergman RN, Barroso I, Bandinelli S, Ballantyne CM, Assimes TL, Quertermous T, Altshuler D, Seielstad M, Wong TY, Tai ES, Feranil AB, Kuzawa CW, Adair LS, Taylor HA, Jr., Borecki IB, Gabriel SB, Wilson JG, Holm H, Thorsteinsdottir U, Gudnason V, Krauss RM, Mohlke KL, Ordovas JM, Munroe PB, Kooner JS, Tall AR, Hegele RA, Kastelein JJ, Schadt EE, Rotter JI, Boerwinkle E, Strachan DP, Mooser V, Stefansson K, Reilly MP, Samani NJ, Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, Kathiresan S. Biological, clinical and population relevance of 95 loci for blood lipids. Nature. 2010;466(7307):707-713.
  30. Triglyceride Coronary Disease Genetics C, Emerging Risk Factors C, Sarwar N, Sandhu MS, Ricketts SL, Butterworth AS, Di Angelantonio E, Boekholdt SM, Ouwehand W, Watkins H, Samani NJ, Saleheen D, Lawlor D, Reilly MP, Hingorani AD, Talmud PJ, Danesh J. Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies. Lancet. 2010;375(9726):1634-1639.
  31. Jorgensen AB, Frikke-Schmidt R, West AS, Grande P, Nordestgaard BG, Tybjaerg-Hansen A. Genetically elevated non-fasting triglycerides and calculated remnant cholesterol as causal risk factors for myocardial infarction. Eur Heart J. 2013;34(24):1826-1833.
  32. Thomsen M, Varbo A, Tybjaerg-Hansen A, Nordestgaard BG. Low nonfasting triglycerides and reduced all-cause mortality: a mendelian randomization study. Clin Chem. 2014;60(5):737-746.
  33. Myocardial Infarction G, Investigators CAEC, Stitziel NO, Stirrups KE, Masca NG, Erdmann J, Ferrario PG, Konig IR, Weeke PE, Webb TR, Auer PL, Schick UM, Lu Y, Zhang H, Dube MP, Goel A, Farrall M, Peloso GM, Won HH, Do R, van Iperen E, Kanoni S, Kruppa J, Mahajan A, Scott RA, Willenberg C, Braund PS, van Capelleveen JC, Doney AS, Donnelly LA, Asselta R, Merlini PA, Duga S, Marziliano N, Denny JC, Shaffer CM, El-Mokhtari NE, Franke A, Gottesman O, Heilmann S, Hengstenberg C, Hoffman P, Holmen OL, Hveem K, Jansson JH, Jockel KH, Kessler T, Kriebel J, Laugwitz KL, Marouli E, Martinelli N, McCarthy MI, Van Zuydam NR, Meisinger C, Esko T, Mihailov E, Escher SA, Alver M, Moebus S, Morris AD, Muller-Nurasyid M, Nikpay M, Olivieri O, Lemieux Perreault LP, AlQarawi A, Robertson NR, Akinsanya KO, Reilly DF, Vogt TF, Yin W, Asselbergs FW, Kooperberg C, Jackson RD, Stahl E, Strauch K, Varga TV, Waldenberger M, Zeng L, Kraja AT, Liu C, Ehret GB, Newton-Cheh C, Chasman DI, Chowdhury R, Ferrario M, Ford I, Jukema JW, Kee F, Kuulasmaa K, Nordestgaard BG, Perola M, Saleheen D, Sattar N, Surendran P, Tregouet D, Young R, Howson JM, Butterworth AS, Danesh J, Ardissino D, Bottinger EP, Erbel R, Franks PW, Girelli D, Hall AS, Hovingh GK, Kastrati A, Lieb W, Meitinger T, Kraus WE, Shah SH, McPherson R, Orho-Melander M, Melander O, Metspalu A, Palmer CN, Peters A, Rader D, Reilly MP, Loos RJ, Reiner AP, Roden DM, Tardif JC, Thompson JR, Wareham NJ, Watkins H, Willer CJ, Kathiresan S, Deloukas P, Samani NJ, Schunkert H. Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease. N Engl J Med. 2016;374(12):1134-1144.
  34. Ference BA, Kastelein JJP, Ray KK, Ginsberg HN, Chapman MJ, Packard CJ, Laufs U, Oliver-Williams C, Wood AM, Butterworth AS, Di Angelantonio E, Danesh J, Nicholls SJ, Bhatt DL, Sabatine MS, Catapano AL. Association of Triglyceride-Lowering LPL Variants and LDL-C-Lowering LDLR Variants With Risk of Coronary Heart Disease. JAMA. 2019;321(4):364-373.
  35. Jun M, Zhu B, Tonelli M, Jardine MJ, Patel A, Neal B, Liyanage T, Keech A, Cass A, Perkovic V. Effects of fibrates in kidney disease: a systematic review and meta-analysis. J Am Coll Cardiol. 2012;60(20):2061-2071.
  36. Frick MH, Elo O, Haapa K, Heinonen OP, Heinsalmi P, Helo P, Huttunen JK, Kaitaniemi P, Koskinen P, Manninen V, et al. Helsinki Heart Study: primary-prevention trial with gemfibrozil in middle-aged men with dyslipidemia. Safety of treatment, changes in risk factors, and incidence of coronary heart disease. N Engl J Med. 1987;317(20):1237-1245.
  37. Tenkanen L, Manttari M, Kovanen PT, Virkkunen H, Manninen V. Gemfibrozil in the treatment of dyslipidemia: an 18-year mortality follow-up of the Helsinki Heart Study. Arch Intern Med. 2006;166(7):743-748.
  38. Haim M, Benderly M, Brunner D, Behar S, Graff E, Reicher-Reiss H, Goldbourt U. Elevated serum triglyceride levels and long-term mortality in patients with coronary heart disease: the Bezafibrate Infarction Prevention (BIP) Registry. Circulation. 1999;100(5):475-482.
  39. Bezafibrate Infarction Prevention s. Secondary prevention by raising HDL cholesterol and reducing triglycerides in patients with coronary artery disease. Circulation. 2000;102(1):21-27.
  40. Tenenbaum A, Motro M, Fisman EZ, Tanne D, Boyko V, Behar S. Bezafibrate for the secondary prevention of myocardial infarction in patients with metabolic syndrome. Arch Intern Med. 2005;165(10):1154-1160.
  41. Rubins HB, Robins SJ, Collins D, Fye CL, Anderson JW, Elam MB, Faas FH, Linares E, Schaefer EJ, Schectman G, Wilt TJ, Wittes J. Gemfibrozil for the secondary prevention of coronary heart disease in men with low levels of high-density lipoprotein cholesterol. Veterans Affairs High-Density Lipoprotein Cholesterol Intervention Trial Study Group. N Engl J Med. 1999;341(6):410-418.
  42. Miller M, Cosgrove B, Havas S. Update on the role of triglycerides as a risk factor for coronary heart disease. Curr Atheroscler Rep. 2002;4(6):414-418.
  43. Ginsberg HN, Elam MB, Lovato LC, Crouse JR, 3rd, Leiter LA, Linz P, Friedewald WT, Buse JB, Gerstein HC, Probstfield J, Grimm RH, Ismail-Beigi F, Bigger JT, Goff DC, Jr., Cushman WC, Simons-Morton DG, Byington RP. Effects of combination lipid therapy in type 2 diabetes mellitus. N Engl J Med. 2010;362(17):1563-1574.
  44. Xu J, Ashjian E. Treatment of Hypertriglyceridemia: A Review of Therapies in the Pipeline. J Pharm Pract. 2023;36(3):650-661.
  45. Pradhan AD, Paynter NP, Everett BM, Glynn RJ, Amarenco P, Elam M, Ginsberg H, Hiatt WR, Ishibashi S, Koenig W, Nordestgaard BG, Fruchart JC, Libby P, Ridker PM. Rationale and design of the Pemafibrate to Reduce Cardiovascular Outcomes by Reducing Triglycerides in Patients with Diabetes (PROMINENT) study. Am Heart J. 2018;206:80-93.
  46. Zandbergen F, Plutzky J. PPARalpha in atherosclerosis and inflammation. Biochim Biophys Acta. 2007;1771(8):972-982.
  47. Nicholls SJ, Lincoff AM, Garcia M, Bash D, Ballantyne CM, Barter PJ, Davidson MH, Kastelein JJP, Koenig W, McGuire DK, Mozaffarian D, Ridker PM, Ray KK, Katona BG, Himmelmann A, Loss LE, Rensfeldt M, Lundstrom T, Agrawal R, Menon V, Wolski K, Nissen SE. Effect of High-Dose Omega-3 Fatty Acids vs Corn Oil on Major Adverse Cardiovascular Events in Patients at High Cardiovascular Risk: The STRENGTH Randomized Clinical Trial. JAMA. 2020;324(22):2268-2280.
  48. Bhatt DL, Steg PG, Miller M, Brinton EA, Jacobson TA, Ketchum SB, Doyle RT, Jr., Juliano RA, Jiao L, Granowitz C, Tardif JC, Ballantyne CM, Investigators R-I. Cardiovascular Risk Reduction with Icosapent Ethyl for Hypertriglyceridemia. N Engl J Med. 2019;380(1):11-22.
  49. Mason RP, Eckel RH. Mechanistic Insights from REDUCE-IT STRENGTHen the Case Against Triglyceride Lowering as a Strategy for Cardiovascular Disease Risk Reduction. Am J Med. 2021;134(9):1085-1090.
  50. Olshansky B, Chung MK, Budoff MJ, Philip S, Jiao L, Doyle RT, Jr., Copland C, Giaquinto A, Juliano RA, Bhatt DL. Mineral oil: safety and use as placebo in REDUCE-IT and other clinical studies. Eur Heart J Suppl. 2020;22(Suppl J):J34-J48.
  51. Nissen SE, Lincoff AM, Wolski K, Ballantyne CM, Kastelein JJP, Ridker PM, Ray KK, McGuire DK, Mozaffarian D, Koenig W, Davidson MH, Garcia M, Katona BG, Himmelmann A, Loss LE, Poole M, Menon V, Nicholls SJ. Association Between Achieved omega-3 Fatty Acid Levels and Major Adverse Cardiovascular Outcomes in Patients With High Cardiovascular Risk: A Secondary Analysis of the STRENGTH Trial. JAMA Cardiol. 2021;6(8):910-917.
  52. Lombardi M, Carbone S, Del Buono MG, Chiabrando JG, Vescovo GM, Camilli M, Montone RA, Vergallo R, Abbate A, Biondi-Zoccai G, Dixon DL, Crea F. Omega-3 fatty acids supplementation and risk of atrial fibrillation: an updated meta-analysis of randomized controlled trials. Eur Heart J Cardiovasc Pharmacother. 2021;7(4):e69-e70.
  53. Mora S, Rifai N, Buring JE, Ridker PM. Fasting compared with nonfasting lipids and apolipoproteins for predicting incident cardiovascular events. Circulation. 2008;118(10):993-1001.
  54. Bansal S, Buring JE, Rifai N, Mora S, Sacks FM, Ridker PM. Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women. JAMA. 2007;298(3):309-316.
  55. Lindman AS, Veierod MB, Tverdal A, Pedersen JI, Selmer R. Nonfasting triglycerides and risk of cardiovascular death in men and women from the Norwegian Counties Study. European journal of epidemiology. 2010;25(11):789-798.
  56. Langsted A, Freiberg JJ, Tybjaerg-Hansen A, Schnohr P, Jensen GB, Nordestgaard BG. Nonfasting cholesterol and triglycerides and association with risk of myocardial infarction and total mortality: the Copenhagen City Heart Study with 31 years of follow-up. Journal of internal medicine. 2011;270(1):65-75.
  57. Nordestgaard BG, Benn M, Schnohr P, Tybjaerg-Hansen A. Nonfasting triglycerides and risk of myocardial infarction, ischemic heart disease, and death in men and women. Jama. 2007;298(3):299-308.
  58. Tada H, Nomura A, Yoshimura K, Itoh H, Komuro I, Yamagishi M, Takamura M, Kawashiri MA. Fasting and Non-Fasting Triglycerides and Risk of Cardiovascular Events in Diabetic Patients Under Statin Therapy. Circ J. 2020;84(3):509-515.
  59. Nordestgaard BG, Langsted A, Freiberg JJ. Nonfasting hyperlipidemia and cardiovascular disease. Current drug targets. 2009;10(4):328-335.
  60. Christian JB, Bourgeois N, Snipes R, Lowe KA. Prevalence of severe (500 to 2,000 mg/dl) hypertriglyceridemia in United States adults. Am J Cardiol. 2011;107(6):891-897.
  61. Fan W, Philip S, Granowitz C, Toth PP, Wong ND. Hypertriglyceridemia in statin-treated US adults: the National Health and Nutrition Examination Survey. J Clin Lipidol. 2019;13(1):100-108.
  62. Boren J, Matikainen N, Adiels M, Taskinen MR. Postprandial hypertriglyceridemia as a coronary risk factor. Clin Chim Acta. 2014;431:131-142.
  63. Kolovou GD, Mikhailidis DP, Kovar J, Lairon D, Nordestgaard BG, Ooi TC, Perez-Martinez P, Bilianou H, Anagnostopoulou K, Panotopoulos G. Assessment and clinical relevance of non-fasting and postprandial triglycerides: an expert panel statement. Curr Vasc Pharmacol. 2011;9(3):258-270.
  64. Smith D, Watts GF, Dane-Stewart C, Mamo JC. Post-prandial chylomicron response may be predicted by a single measurement of plasma apolipoprotein B48 in the fasting state. Eur J Clin Invest. 1999;29(3):204-209.
  65. Feingold KR, Brinton EA, Grunfeld C. The Effect of Endocrine Disorders on Lipids and Lipoproteins. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dhatariya K, Dungan K, Grossman A, Hershman JM, Hofland J, Kalra S, Kaltsas G, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, McGee EA, McLachlan R, Morley JE, New M, Purnell J, Sahay R, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2000.
  66. Herink M, Ito MK. Medication Induced Changes in Lipid and Lipoproteins. In: Feingold KR, Anawalt B, Boyce A, Chrousos G, de Herder WW, Dhatariya K, Dungan K, Grossman A, Hershman JM, Hofland J, Kalra S, Kaltsas G, Koch C, Kopp P, Korbonits M, Kovacs CS, Kuohung W, Laferrere B, McGee EA, McLachlan R, Morley JE, New M, Purnell J, Sahay R, Singer F, Stratakis CA, Trence DL, Wilson DP, eds. Endotext. South Dartmouth (MA)2000.
  67. Feingold KR, Grunfeld C. Diabetes and Dyslipidemia. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  68. Feingold KR, Grunfeld C. Obesity and Dyslipidemia. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  69. Grimes SB, Wild R. Effect of Pregnancy on Lipid Metabolism and Lipoprotein Levels. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  70. Miller M, Stone NJ, Ballantyne C, Bittner V, Criqui MH, Ginsberg HN, Goldberg AC, Howard WJ, Jacobson MS, Kris-Etherton PM, Lennie TA, Levi M, Mazzone T, Pennathur S, American Heart Association Clinical Lipidology T, Prevention Committee of the Council on Nutrition PA, Metabolism, Council on Arteriosclerosis T, Vascular B, Council on Cardiovascular N, Council on the Kidney in Cardiovascular D. Triglycerides and cardiovascular disease: a scientific statement from the American Heart Association. Circulation. 2011;123(20):2292-2333.
  71. Dron JS, Hegele RA. Genetics of Hypertriglyceridemia. Front Endocrinol (Lausanne). 2020;11:455.
  72. Kissebah AH, Harrigan P, Wynn V. Mechanism of hypertriglyceridaemia associated with contraceptive steroids. Horm Metab Res. 1973;5(3):184-190.
  73. Castro MR, Nguyen TT, O'Brien T. Clomiphene-induced severe hypertriglyceridemia and pancreatitis. Mayo Clin Proc. 1999;74(11):1125-1128.
  74. Jellinger PS, Smith DA, Mehta AE, Ganda O, Handelsman Y, Rodbard HW, Shepherd MD, Seibel JA, Dyslipidemia ATFfMo, Prevention of A. American Association of Clinical Endocrinologists' Guidelines for Management of Dyslipidemia and Prevention of Atherosclerosis. Endocr Pract. 2012;18 Suppl 1:1-78.
  75. Patel SB, Wyne KL, Afreen S, Belalcazar LM, Bird MD, Coles S, Marrs JC, Peng CC, Pulipati VP, Sultan S, Zilbermint M. American Association of Clinical Endocrinology Clinical Practice Guideline on Pharmacologic Management of Adults With Dyslipidemia. Endocr Pract. 2025;31(2):236-262.
  76. Virani SS, Morris PB, Agarwala A, Ballantyne CM, Birtcher KK, Kris-Etherton PM, Ladden-Stirling AB, Miller M, Orringer CE, Stone NJ. 2021 ACC Expert Consensus Decision Pathway on the Management of ASCVD Risk Reduction in Patients With Persistent Hypertriglyceridemia: A Report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol. 2021;78(9):960-993.
  77. Jacobson TA, Ito MK, Maki KC, Orringer CE, Bays HE, Jones PH, McKenney JM, Grundy SM, Gill EA, Wild RA, Wilson DP, Brown WV. National lipid association recommendations for patient-centered management of dyslipidemia: part 1--full report. J Clin Lipidol. 2015;9(2):129-169.
  78. Ginsberg HN, Packard CJ, Chapman MJ, Boren J, Aguilar-Salinas CA, Averna M, Ference BA, Gaudet D, Hegele RA, Kersten S, Lewis GF, Lichtenstein AH, Moulin P, Nordestgaard BG, Remaley AT, Staels B, Stroes ESG, Taskinen MR, Tokgozoglu LS, Tybjaerg-Hansen A, Stock JK, Catapano AL. Triglyceride-rich lipoproteins and their remnants: metabolic insights, role in atherosclerotic cardiovascular disease, and emerging therapeutic strategies-a consensus statement from the European Atherosclerosis Society. Eur Heart J. 2021;42(47):4791-4806.
  79. Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B, Societies ESCNC, Group ESCSD. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021;42(34):3227-3337.
  80. Fried SK, Rao SP. Sugars, hypertriglyceridemia, and cardiovascular disease. Am J Clin Nutr. 2003;78(4):873S-880S.
  81. Johnson RK, Appel LJ, Brands M, Howard BV, Lefevre M, Lustig RH, Sacks F, Steffen LM, Wylie-Rosett J, American Heart Association Nutrition Committee of the Council on Nutrition PA, Metabolism, the Council on E, Prevention. Dietary sugars intake and cardiovascular health: a scientific statement from the American Heart Association. Circulation. 2009;120(11):1011-1020.
  82. Li J, Siegrist J. Physical activity and risk of cardiovascular disease--a meta-analysis of prospective cohort studies. Int J Environ Res Public Health. 2012;9(2):391-407.
  83. Mestek ML, Plaisance EP, Ratcliff LA, Taylor JK, Wee SO, Grandjean PW. Aerobic exercise and postprandial lipemia in men with the metabolic syndrome. Medicine and science in sports and exercise. 2008;40(12):2105-2111.
  84. Maraki MI, Sidossis LS. The latest on the effect of prior exercise on postprandial lipaemia. Sports Med. 2013;43(6):463-481.
  85. Karpe F. Postprandial lipemia--effect of lipid-lowering drugs. Atheroscler Suppl. 2002;3(1):41-46.
  86. Parhofer KG, Laubach E, Barrett PH. Effect of atorvastatin on postprandial lipoprotein metabolism in hypertriglyceridemic patients. J Lipid Res. 2003;44(6):1192-1198.
  87. Parhofer KG, Barrett PH, Schwandt P. Atorvastatin improves postprandial lipoprotein metabolism in normolipidemlic subjects. J Clin Endocrinol Metab. 2000;85(11):4224-4230.
  88. Schaefer EJ, McNamara JR, Tayler T, Daly JA, Gleason JA, Seman LJ, Ferrari A, Rubenstein JJ. Effects of atorvastatin on fasting and postprandial lipoprotein subclasses in coronary heart disease patients versus control subjects. Am J Cardiol. 2002;90(7):689-696.
  89. Rosenson RS, Wolff DA, Huskin AL, Helenowski IB, Rademaker AW. Fenofibrate therapy ameliorates fasting and postprandial lipoproteinemia, oxidative stress, and the inflammatory response in subjects with hypertriglyceridemia and the metabolic syndrome. Diabetes Care. 2007;30(8):1945-1951.
  90. Ohno Y, Miyoshi T, Noda Y, Oe H, Toh N, Nakamura K, Kohno K, Morita H, Ito H. Bezafibrate improves postprandial hypertriglyceridemia and associated endothelial dysfunction in patients with metabolic syndrome: a randomized crossover study. Cardiovasc Diabetol. 2014;13:71.
  91. Clofibrate and niacin in coronary heart disease. Jama. 1975;231(4):360-381.
  92. Canner PL, Berge KG, Wenger NK, Stamler J, Friedman L, Prineas RJ, Friedewald W. Fifteen year mortality in Coronary Drug Project patients: long-term benefit with niacin. J Am Coll Cardiol. 1986;8(6):1245-1255.
  93. King JM, Crouse JR, Terry JG, Morgan TM, Spray BJ, Miller NE. Evaluation of effects of unmodified niacin on fasting and postprandial plasma lipids in normolipidemic men with hypoalphalipoproteinemia. Am J Med. 1994;97(4):323-331.
  94. Usman MH, Qamar A, Gadi R, Lilly S, Goel H, Hampson J, Mucksavage ML, Nathanson GA, Rader DJ, Dunbar RL. Extended-release niacin acutely suppresses postprandial triglyceridemia. Am J Med. 2012;125(10):1026-1035.
  95. Guyton JR, Slee AE, Anderson T, Fleg JL, Goldberg RB, Kashyap ML, Marcovina SM, Nash SD, O'Brien KD, Weintraub WS, Xu P, Zhao XQ, Boden WE. Relationship of lipoproteins to cardiovascular events: the AIM-HIGH Trial (Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides and Impact on Global Health Outcomes). J Am Coll Cardiol. 2013;62(17):1580-1584.
  96. Group HTC, Landray MJ, Haynes R, Hopewell JC, Parish S, Aung T, Tomson J, Wallendszus K, Craig M, Jiang L, Collins R, Armitage J. Effects of extended-release niacin with laropiprant in high-risk patients. N Engl J Med. 2014;371(3):203-212.
  97. Nutescu EA, Shapiro NL. Ezetimibe: a selective cholesterol absorption inhibitor. Pharmacotherapy. 2003;23(11):1463-1474.
  98. Masuda D, Nakagawa-Toyama Y, Nakatani K, Inagaki M, Tsubakio-Yamamoto K, Sandoval JC, Ohama T, Nishida M, Ishigami M, Yamashita S. Ezetimibe improves postprandial hyperlipidaemia in patients with type IIb hyperlipidaemia. Eur J Clin Invest. 2009;39(8):689-698.
  99. Olijhoek JK, Hajer GR, van der Graaf Y, Dallinga-Thie GM, Visseren FL. The effects of low-dose simvastatin and ezetimibe compared to high-dose simvastatin alone on post-fat load endothelial function in patients with metabolic syndrome: a randomized double-blind crossover trial. J Cardiovasc Pharmacol. 2008;52(2):145-150.
  100. Cannon CP, Blazing MA, Giugliano RP, McCagg A, White JA, Theroux P, Darius H, Lewis BS, Ophuis TO, Jukema JW, De Ferrari GM, Ruzyllo W, De Lucca P, Im K, Bohula EA, Reist C, Wiviott SD, Tershakovec AM, Musliner TA, Braunwald E, Califf RM, Investigators I-I. Ezetimibe Added to Statin Therapy after Acute Coronary Syndromes. N Engl J Med. 2015;372(25):2387-2397.
  101. Harris WS, Miller M, Tighe AP, Davidson MH, Schaefer EJ. Omega-3 fatty acids and coronary heart disease risk: clinical and mechanistic perspectives. Atherosclerosis. 2008;197(1):12-24.
  102. Yokoyama M, Origasa H, Matsuzaki M, Matsuzawa Y, Saito Y, Ishikawa Y, Oikawa S, Sasaki J, Hishida H, Itakura H, Kita T, Kitabatake A, Nakaya N, Sakata T, Shimada K, Shirato K. Effects of eicosapentaenoic acid on major coronary events in hypercholesterolaemic patients (JELIS): a randomised open-label, blinded endpoint analysis. Lancet. 2007;369(9567):1090-1098.
  103. Tinker LF, Parks EJ, Behr SR, Schneeman BO, Davis PA. (n-3) fatty acid supplementation in moderately hypertriglyceridemic adults changes postprandial lipid and apolipoprotein B responses to a standardized test meal. J Nutr. 1999;129(6):1126-1134.
  104. Park Y, Harris WS. Omega-3 fatty acid supplementation accelerates chylomicron triglyceride clearance. J Lipid Res. 2003;44(3):455-463.
  105. Slivkoff-Clark KM, James AP, Mamo JC. The chronic effects of fish oil with exercise on postprandial lipaemia and chylomicron homeostasis in insulin resistant viscerally obese men. Nutr Metab (Lond). 2012;9:9.
  106. Feingold KR, Grunfeld C. Cholesterol Lowering Drugs. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  107. Feingold K, Grunfeld C. Triglyceride Lowering Drugs. In: De Groot LJ, Chrousos G, Dungan K, Feingold KR, Grossman A, Hershman JM, Koch C, Korbonits M, McLachlan R, New M, Purnell J, Rebar R, Singer F, Vinik A, eds. Endotext. South Dartmouth (MA)2000.
  108. Gaudet D, Alexander VJ, Baker BF, Brisson D, Tremblay K, Singleton W, Geary RS, Hughes SG, Viney NJ, Graham MJ, Crooke RM, Witztum JL, Brunzell JD, Kastelein JJ. Antisense Inhibition of Apolipoprotein C-III in Patients with Hypertriglyceridemia. N Engl J Med. 2015;373(5):438-447.
  109. Paik J, Duggan S. Volanesorsen: First Global Approval. Drugs. 2019;79(12):1349-1354.
  110. Gouni-Berthold I, Alexander VJ, Yang Q, Hurh E, Steinhagen-Thiessen E, Moriarty PM, Hughes SG, Gaudet D, Hegele RA, O'Dea LSL, Stroes ESG, Tsimikas S, Witztum JL, group Cs. Efficacy and safety of volanesorsen in patients with multifactorial chylomicronaemia (COMPASS): a multicentre, double-blind, randomised, placebo-controlled, phase 3 trial. Lancet Diabetes Endocrinol. 2021;9(5):264-275.
  111. Witztum JL, Gaudet D, Freedman SD, Alexander VJ, Digenio A, Williams KR, Yang Q, Hughes SG, Geary RS, Arca M, Stroes ESG, Bergeron J, Soran H, Civeira F, Hemphill L, Tsimikas S, Blom DJ, O'Dea L, Bruckert E. Volanesorsen and Triglyceride Levels in Familial Chylomicronemia Syndrome. N Engl J Med. 2019;381(6):531-542.
  112. Gaudet D, Brisson D, Tremblay K, Alexander VJ, Singleton W, Hughes SG, Geary RS, Baker BF, Graham MJ, Crooke RM, Witztum JL. Targeting APOC3 in the familial chylomicronemia syndrome. N Engl J Med. 2014;371(23):2200-2206.
  113. Stroes ESG, Alexander VJ, Karwatowska-Prokopczuk E, Hegele RA, Arca M, Ballantyne CM, Soran H, Prohaska TA, Xia S, Ginsberg HN, Witztum JL, Tsimikas S, Balance I. Olezarsen, Acute Pancreatitis, and Familial Chylomicronemia Syndrome. N Engl J Med. 2024;390(19):1781-1792.
  114. Chebli J, Larouche M, Gaudet D. APOC3 siRNA and ASO therapy for dyslipidemia. Curr Opin Endocrinol Diabetes Obes. 2024;31(2):70-77.
  115. Watts GF, Rosenson RS, Hegele RA, Goldberg IJ, Gallo A, Mertens A, Baass A, Zhou R, Muhsin M, Hellawell J, Leeper NJ, Gaudet D, Group PS. Plozasiran for Managing Persistent Chylomicronemia and Pancreatitis Risk. N Engl J Med. 2025;392(2):127-137.
  116. Harada-Shiba M, Ali S, Gipe DA, Gasparino E, Son V, Zhang Y, Pordy R, Catapano AL. A randomized study investigating the safety, tolerability, and pharmacokinetics of evinacumab, an ANGPTL3 inhibitor, in healthy Japanese and Caucasian subjects. Atherosclerosis. 2020;314:33-40.
  117. Rosenson RS, Gaudet D, Hegele RA, Ballantyne CM, Nicholls SJ, Lucas KJ, San Martin J, Zhou R, Muhsin M, Chang T, Hellawell J, Watts GF, Team A-T. Zodasiran, an RNAi Therapeutic Targeting ANGPTL3, for Mixed Hyperlipidemia. N Engl J Med. 2024;391(10):913-925.
  118. Szczepanska E, Gietka-Czernel M. FGF21: A Novel Regulator of Glucose and Lipid Metabolism and Whole-Body Energy Balance. Horm Metab Res. 2022;54(4):203-211.
  119. Geng L, Lam KSL, Xu A. The therapeutic potential of FGF21 in metabolic diseases: from bench to clinic. Nat Rev Endocrinol. 2020;16(11):654-667.
  120. Schlein C, Talukdar S, Heine M, Fischer AW, Krott LM, Nilsson SK, Brenner MB, Heeren J, Scheja L. FGF21 Lowers Plasma Triglycerides by Accelerating Lipoprotein Catabolism in White and Brown Adipose Tissues. Cell Metab. 2016;23(3):441-453.
  121. Rader DJ, Maratos-Flier E, Nguyen A, Hom D, Ferriere M, Li Y, Kompa J, Martic M, Hinder M, Basson CT, Yowe D, Diener J, Goldfine AB, Team CXS. LLF580, an FGF21 Analog, Reduces Triglycerides and Hepatic Fat in Obese Adults With Modest Hypertriglyceridemia. J Clin Endocrinol Metab. 2022;107(1):e57-e70.
  122. Bhatt DL, Bays HE, Miller M, Cain JE, 3rd, Wasilewska K, Andrawis NS, Parli T, Feng S, Sterling L, Tseng L, Hartsfield CL, Agollah GD, Mansbach H, Kastelein JJP, Investigators EP. The FGF21 analog pegozafermin in severe hypertriglyceridemia: a randomized phase 2 trial. Nat Med. 2023;29(7):1782-1792.

Assay of Thyroid Hormone and Related Substances

ABSTRACT

 

This chapter reviews how improvements in the sensitivity and specificity of thyroid tests [total and free thyroid hormones (T4 and T3), TSH, thyroid autoantibodies (TRAb, TPOAb, and TgAb) and thyroglobulin (Tg)] have advanced the detection and treatment of thyroid disorders. The strengths and limitations of current methodologies [Radioimmunoassay (RIA), Immunometric assay (IMA) and Liquid Chromatography/Tandem Mass Spectrometry (LC-MS/MS)] are discussed, together with their propensity for analyte-specific and non-specific interferences relating to analyte heterogeneity (TSH, TgAb and Tg), analyte-specific autoantibodies (T4Ab, T3Ab, TSHAb and TgAb) and interferences from heterophile antibodies (HAb) or assay reagents such as Biotin and Rhuthenium. Currently, between-method differences preclude establishing universal thyroid test reference ranges. However, collaborations between the International Federation of Clinical Chemistry (IFCC), the committee for the standardization of thyroid function tests (C-STFT), and the in-vitro diagnostic (IVD) industry are now focused on eliminating these between-method differences.

 

INTRODUCTION  

 

Figure 1 shows the timeline for improvements in the sensitivity and specificity of thyroid test methodologies made over the last 60 years (1). In the 1950s the only thyroid test available was an indirect estimate of the serum total (free + protein-bound) thyroxine (T4) concentration, using the protein bound iodine (PBI) technique (2). Early technological advances in radioimmunoassay (RIA) (3-6), immunometric assay (IMA) (7-11), and most recently, liquid chromatography-tandem mass spectrometry (LC-MS/MS) methodologies (12-14) have progressively improved the sensitivity and specificity of thyroid tests. Currently, most thyroid testing is made on serum specimens using automated IMA methodology to measure total thyroid hormones (TT4 and TT3), estimate free thyroid hormones (FT4 and FT3) (13,15,16), and measure TSH (13) and thyroglobulin (Tg) (14,17). Automated IMA methodology is also used to detect autoantibodies that target the TSH receptor (TRAb) (18-20), the thyroid peroxidase enzyme (TPOAb) (21), and the thyroglobulin protein (TgAb) (22-24). When indicated, the thyroid hormone binding proteins thyroxine binding globulin (TBG), transthyretin (TTR)/prealbumin (TBPA), and albumin can also be measured (25-27). The IFCC and CDC continue their efforts to encourage test manufacturers to identify the causes of, and reduce the magnitude of, between-method variability in thyroid hormone and TSH measurements (12,28-33). Isotope-dilution liquid chromatography/tandem mass spectrometry (ID-LC-MS/MS) has become the reference measurement procedure (RMP) for total thyroid hormone measurements (28) and free hormone (FT4 and FT3) measurement in equilibrium dialysates (15,28,34,35). TSH methods are now being re-standardized to the new International Reference Preparation (81/615) and harmonized to the all-method mean (13,33,36). Although serum Tg can now be detected by LC-MS/MS as tryptic peptides (37-42), the clinical value relative to the expense of this technique is still debated (14,41,43). Thus, despite technical improvements in sensitivity, specificity and standardization, the problem of substantial between-method variabilities remains for all tests (13,14,28,30,32,33,35,44-46). Establishing universal thyroid test reference ranges that would apply to all methods, by removing current between-method biases, would greatly benefit healthcare systems worldwide. Current guidelines for managing pregnant (47,48) and non-pregnant patients with hypothyroidism (49-52), hyperthyroidism (53,54), thyroid nodules (55), or differentiated thyroid cancers (DTC) (17,23,56-60) are also referenced.

Figure 1. Timeline for the Major Technical Advances in Thyroid Testing. The figure shows the development of increasingly more sensitive TSH tests: first generation, (1G), second generation (2G), and third generation (3G), and advances in the methodologies used to measure total thyroid hormones (TT4 and TT3), indirectly estimate free thyroid hormones (FT4 and FT3), directly measure FT4, and measure the thyroid autoantibodies TPOAb, TgAb, and TRAb and Thyroglobulin (Tg). From reference 1.

TOTAL THYROID HORMONE MEASUREMENTS (TT4 and TT3)

 

Thyroxine (T4) circulates 99.97 percent bound to the plasma proteins, primarily TBG (60-75 %) but also transthyretin TTR/TBPA (15-30 %) and albumin (~10 %) (25,26,61).  In contrast 99.7 % of Triiodothyronine (T3) is bound to TBG (26,61). The total (free + protein-bound) thyroid hormones (TT4 and TT3) circulate at nanomolar concentrations that are considerably easier to measure than the free hormone moieties (FT4 and FT3) that circulate in the picomolar range (62). Serum TT4 methods have evolved over the past five decades from protein-bound iodine and competitive protein binding tests (2,63) to non-isotopic immunometric assays and most recently, isotope dilution tandem mass spectrometry (ID-LC-MS/MS) methods (13,64,65) (66). Since total thyroid hormone concentrations are influenced by conditions that change the binding protein concentrations (Figure 2), the measurement of the free thyroid hormone is considered more clinically reliable (13).

Figure 2. Conditions that Influence Thyroid Hormone Binding Proteins. From references 25, 27 and 61.

Total thyroid hormone methods typically require the inclusion of inhibitors, such as 8-anilino-1-napthalene-sulphonic acid to block hormone binding to serum proteins and facilitate the binding of thyroid hormone to the antibody reagent(s) (67). T3 concentrations are ten-fold lower than T4, so measuring T3 has always presented a greater sensitivity and precision challenge than measuring T4. Currently both TT4 and TT3 are measured by immunometric assays performed on automated platforms using enzymes, fluorescence, or chemiluminescent molecules as signals (11,13,62).

 

Between-method variability among eleven TT4 and twelve TT3 immunoassays are shown in Figure 3 (28) from sera from healthy individuals and compared with values reported by isotope dilution tandem mass spectrometry (ID-LC-MS/MS) - the reference measurement procedure (RMP) that uses primary T4 and T3 standards for calibration (13,28). Although most methods fell short of the optimal 5 percent goal established by the C-STFT, 4/11 TT4 assays agreed within 10 percent of the reference, whereas most TT3 assays exhibited a positive bias that would necessitate re-standardization (28,68,69). Thus, as would be expected, TT4 assays are more reliable than TT3 assays. However, variability persists likely resulting from matrix differences between calibrators and patient sera, the efficiency of the blocking agent employed, and reagent lot-to-lot variability (13,69-72).

Figure 3. (a) TT4 and (b) TT3 Between-Method Variability. The figure shows the variability among 11 TT4 (A-P) and 12 TT3 (A-M) methods (shown as assay means 2 sd) relative to the RMP for the method. For the assays differing >10% from the RMP mean, the numerical value of the mean is listed (28).

 

TT4 and TT3 Reference Ranges

 

The problem of between-method differences in TT4 and TT3 measurements (Figure 3) is compounded by the continued use of non-SI units by some countries. TT4 reference ranges have approximated 58 to 160 nmol/L (4.5-12.5 µg/dL) for more than four decades. However, in euthyroid pregnant women there is an approximate 2-fold rise in TBG concentrations by mid-gestation that produce a steady TT4 increase beginning in the first trimester and plateauing at approximately 1.5-fold pre-pregnancy levels by mid-gestation (73-75). As a result, some have suggested that the non-pregnant TT4 reference range be adjusted by a factor of 1.5 when assessing thyroid status in the latter half of gestation (47,73,74,76). TT3 reference ranges generally approximate 1.2 - 2.7 nmol/L (80 –180 ng/dL) (77), but as shown in Figure 3, TT3 displays more between-method variability than TT4 (69,78).

 

FREE THYROID HORMONE TESTS (FT4 and FT3)

 

In accordance with the free hormone hypothesis, it is the free thyroid hormone fractions (0.02 % of TT4 and 0.2 % of TT3) that exert biologic activity at the cellular level (79) and protein-bound hormone is considered biologically inert. Since binding-protein abnormalities are highly prevalent (Figure 2) (25,27,61), free hormone measurements (FT4 and FT3) are preferable to total hormone (TT4 and TT3) (13,15). However, the measurement of free hormone concentrations independent of protein-bound hormone remains technically challenging (13,15,80). This is especially the case for FT3, because FT3 immunoassays are more susceptible to interference by free fatty acids and drugs present in the circulation, prompting many laboratories to prefer a TT3 over a FT3 assay (13). FT4 and FT3 fall into two categories – direct methods that employ a physical separation of free from protein-bound hormone and indirect free hormone estimate tests (16).

 

Direct FT4 and FT3 Methods

 

Direct free hormone methods have employed equilibrium dialysis (ED) (13,81,82), ultrafiltration (83-85), or gel filtration (86) to separate free hormone from the dominant protein-bound moiety. The IFCC has now established equilibrium dialysis, isotope dilution, liquid chromatography, tandem mass spectrometry (ED ID-LC-MS/MS) using primary calibrators as the RMP for FT4 measurements (13,32,87-89). Specifically, equilibrium dialysis of serum is performed under defined conditions before measuring FT4 in the dialysate by ID-LC-MS/MS (12,34,35). Manufacturers are recommended to use this RMP to recalibrate their FT4 immunoassay tests (13). However, even direct methods that employ equilibrium dialysis or ultrafiltration to separate free from protein-bound hormone are not immune from technical problems relating to dilution, adsorption, membrane defects, temperature, the influence of endogenous binding protein inhibitors, fatty acid formation, and sample-related effects (13,80,82,90). Because direct free hormone methods are technically demanding, inconvenient, and expensive, they are typically only readily available in reference laboratories and most clinical laboratories use FT4 and FT3 estimate tests - immunoassay “sequestration” methods (see below). However, a direct free hormone test can be especially useful for evaluating thyroid status when immunoassay values appear discordant with the clinical presentation and/or the TSH measurement (15,91). All current FT4 and FT3 estimate tests remain binding-protein dependent to some extent (69).

 

EQUILIBRIUM DIALYSIS (ED)

 

Early equilibrium dialysis methods used I131 and later I125 labeled T4 tracers to measure the free T4 fraction, that when multiplied by a total hormone measurement gave an estimate of the free hormone concentration (81). Subsequently, symmetric dialysis in which serum was dialyzed without dilution (or employing a near-physiological medium) was used to overcome dilution effects (82). By the early 1970s higher affinity T4 antibodies (>1x1011 L/mol) and high specific activity T4-I125 tracers were used to develop sensitive RIA methods that could directly measure FT4 and FT3 in dialysates and ultrafiltrates (83,92). Subsequent improvements have involved employing more physiological buffer diluents and improving the dialysis cell design (82,92). More recently, isotope-dilution liquid chromatography/tandem mass spectrometry (ID-LC-MS/MS) (93) has been used to measure FT4 in ultrafiltrates (94) and dialysates (13,32,35,36,87,95,96).

 

ULTRAFILTRATION METHODS

 

Ultrafiltration has also been used to remove protein-bound T4 prior to LC-MS/MS measurement of FT4 in the ultrafiltrate (97). Direct FT4 measurements employing ultrafiltration are sometimes higher than those made by equilibrium dialysis, because ultrafiltration avoids dilution effects (98). Moreover, ultrafiltration is not influenced by dialyzable inhibitors of T4-protein binding that can be present in conditions such as non-thyroidal illness (NTI) (90). However, ultrafiltration can be prone to errors when there is a failure to completely exclude protein-bound hormone and/or adsorption of hormone onto the filters, glassware, and tubing (99). In addition, ultrafiltration is temperature dependent such that ultrafiltration performed at ambient temperature (25°C) will report FT4 results that are 67 percent lower than ultrafiltration performed at 37°C (97). However, FT4 concentrations measured by ID-LC-MS/MS following either ultrafiltration at 37°C or equilibrium dialysis usually correlate (100).

 

GEL ABSORPTION METHODS  

 

Some early direct FT4 methods used Sephadex LH-20 columns to separate free from bound hormone before eluting the free T4 from the column for measurement by a sensitive RIA. However, because of a variety of technical issues, assays based on this methodologic approach are not currently used (62).

 

Indirect Free T4 and Free T3 Estimate Tests

 

The first free hormone estimate tests were free hormone “indexes” (FT4I and FT3I) – a correction of the total hormone concentration for the influence of binding proteins assessed either using a direct TBG measurement or a binding-protein estimate (uptake) test (101,102). Current free hormone estimate tests are typically automated immunoassays that employ an antibody to sequester a small amount of the total hormone that is purportedly proportional to the free hormone concentration (13,15). Both index tests (FT4I and FT3I) and FT4 and FT3 immunoassays are typically protein-dependent to some extent and may under- or overestimate free hormone when binding proteins are grossly abnormal (80,103-105). As with TT4 methods, current FT4 immunoassays have significant between-method variability and biases (relative to the RMP) that far exceed the biological FT4 variation (Figure 4) (13,28,69). Recalibrating methods against the RMP has been shown to significantly reduce biases (32). It is hoped that manufacturers will continue to work to eliminate between-method biases and establish reference intervals that would apply to all methods (106).

 

Figure 4. FT4 Between-Method Variability in FT4 Immunoassays. This figure shows deviations in FT4 measurements made by 13 different immunoassays relative to the reference measurement procedure (RMP = ED-ID-LC-MS/MS) (89).

 

TWO TEST INDEX METHODS (FT4I AND FT3I)

 

Free hormone indices (FT4I and FT3I) are unitless mathematical calculations made by correcting the total hormone test result for the influence of binding proteins, primarily TBG (107). These indexes that have been used for more than 50 years require two separate tests to estimate free hormone (80). The first test involves the measurement of total hormone (TT4 or TT3) whereas the second test assesses the binding protein concentration by either a direct TBG immunoassay (103), a Thyroid Hormone Binding Ratio (THBR) or “Uptake” test (102), or an isotopic determination of the free hormone fraction (80,108).

 

TBG Immunoassays

 

Data has been conflicting concerning whether indexes that employ THBR in preference to a direct TBG are diagnostically superior (109). Free hormone indexes calculated using TBG measurement (TT4/TBG) may offer improved diagnostic accuracy over THBR when the total hormone concentration is abnormally high (i.e. hyperthyroidism), or when drug therapies interfere with THBR tests (110). Regardless, the TT4/TBG index is not totally independent of the TBG concentration, nor does it correct for albumin or transthyretin binding protein abnormalities (figure 2) (104).

 

Thyroid Hormone Binding Ratio (THBR) / "Uptake" Tests

 

The first "T3 uptake" tests developed in the 1950s employed the partitioning of T3-I131 tracer between the plasma proteins in the specimen and an inert scavenger (red cell membranes, talc, charcoal, ion-exchange resin, or antibody) (111-113). The "uptake" of T3 tracer onto the scavenger provided an indirect, reciprocal estimate of the TBG concentration in the specimen. Initially, T3 uptake tests were reported as percent uptakes (free/total tracer). Sera with normal TBG concentrations typically had approximately 30 percent of the T3 tracer taken up by the scavenger. During the 1970s methods were refined by replacing I131-T3 tracers by I125-T3 with a calculation of the hormone uptake based on the ratio of isotopic counts between the absorbent, and total minus absorbent counts. Results were expressed as a ratio with normal sera having an assigned value of 1.00 (108). Historically, the use of T3 as opposed to T4 tracer was made for practical reasons relating to the ten-fold lower affinity of TBG for T3 versus T4, facilitating a higher percentage of T3 tracer binding to the scavenger, thereby allowing shorter isotopic counting times.  Because current methods use non-isotopic proprietary T4 or T3 "analogs", counting time is no longer an issue and current tests may use a "T4 uptake" approach - which may be more appropriate for correcting for T4-binding protein effects. Differences between T3 and T4 "uptakes" have not been extensively studied (114). Although all THBR tests are to some degree TBG dependent, the calculated FT4I and FT3I usually provides an adequate correction for mild TBG abnormalities (i.e. pregnancy and estrogen therapy) (73,102,103,115) but may fail to correct for grossly abnormal binding proteins (26) seen in euthyroid patients with congenital TBG extremes (103,104,116), familial dysalbuminemias (62,105,117-119), thyroid hormone autoantibodies (120-122), or medications that directly or indirectly influence thyroid hormone binding to plasma proteins (13,62,104,123).

 

Isotopic Index Methods

 

The first free hormone tests developed in the 1960s were indexes calculated from the product of the free hormone fraction, measured isotopically by dialysis, and TT4 measured by PBI and later RIA (81). These early isotopic detection systems were technically demanding and included paper chromatography, electrophoresis, magnesium chloride precipitation, and column chromatography (81,124-126). The free fraction index approach was later extended to ultrafiltration (83,85) and symmetric dialysis (127), the latter measuring the rate of transfer of isotopically labeled hormone across a membrane separating two chambers containing the same undiluted specimen. Ultrafiltration and symmetric dialysis had the advantage of eliminating dilution effects that influenced tracer dialysis values (82,128). However, free hormone indexes calculated using an isotopic free fraction were not completely independent of the TBG concentration and were influenced by tracer purity and the buffer matrix employed (92,129).

 

Clinical Utility of Two-Test Index Methods (FT4I and FT3I)

 

In the past some have favored the two-test FT4I approach for evaluating the thyroid status of patients with abnormal binding protein states like pregnancy or NTI (73,82). However, the continued use of these FT4I tests remains controversial (130). Until FT4 immunoassays are re-standardized to remove biases (13,69), FT4I remains a useful confirmatory test when binding proteins are abnormal or for diagnosing central hypothyroidism (69).

 

Free Thyroid Hormone Immunoassay Methods (FT4 and FT3)

 

Currently, most free hormone testing is made using automated FT4 and FT3 immunoassays (62,131). These immunoassays are based on "one-step", "labeled antibody" or "two-step" principles (80). For more than twenty years controversy has surrounded the standardization and diagnostic accuracy of these methods, especially in pathophysiologic conditions associated with the binding protein abnormalities such as pregnancy (15,73,131). These assays are subject to variability due to polymorphisms, drug interactions, high free fatty acid (FFA) levels, or thyroid binding inhibitors such as those present in non-thyroidal illness (NTI) (11,30, 62, 69, 90, 99,104,105,121,132). Studies of the inverse FT4/TSH log/linear relationship have emphasized the need to evaluate each method with clinical specimens containing abnormal binding proteins (94,133,134). Currently, most FT4 and FT3 immunoassays display significant negative or positive biases that exceed the intra-individual biological variability (12,13). As shown in Figure 4, all but one of the FT4 immunoassays tested had a negative bias relative to the FT4 RMP. Although the IVD industry is being encouraged to recalibrate their free hormone immunoassays against the RMP to reduce between-method biases (13, 28, 69, 87,135), implementation of a global re-calibration effort has been delayed by cost as well as practical, educational, and regulatory complexity.

 

ONE-STEP FT4 AND FT3 METHODS

 

The “one-step” approach uses a proprietary labeled hormone analog, designed for minimal interaction with thyroid hormone binding proteins, that competes with hormone in the specimen for a solid-phase anti-hormone antibody in a classic competitive immunoassay format (15,62,80). After washing away unbound constituents, the free hormone concentration should be inversely proportional to the labeled analog bound to the solid support. Although conceptually attractive, the diagnostic utility of the one-step approach has been shown to be dependent on the degree that the analog is "inert" with respect to binding proteins (80,94,133,134). 

 

LABELED ANTIBODY FT4 AND FT3 METHODS

 

Labeled antibody methods are "one-step" methods that use a labeled antibody in preference to a labeled hormone analog. The free hormone in the specimen competes with solid-phase hormone for the labeled antibody and is quantified as a function of the fractional occupancy of hormone-antibody binding sites in the reaction mixture (15,62,80,136). The labeled antibody approach is used as the basis for several automated immunoassay platforms because it is easy to automate and considered less binding-protein dependent than the labeled analog approach, since the solid phase hormone does not compete with endogenous free hormone for hormone binding proteins (15,80,137-139).

 

TWO-STEP, BACK TITRATION FT4 AND FT3 METHODS

 

The two-step approach was first developed by Ekins and colleagues in the late 1970s (79,113). Two-step methods typically employ immobilized T4 or T3 antibody (for FT4 and FT3 immunoassays, respectively) to sequester a small proportion of total hormone from a diluted serum specimen without disturbing the original free to protein-bound equilibrium (62,80). After removing unbound serum constituents by washing, a labeled probe (originally 125-I T4, or more recently a macromolecular T4 conjugate) is added to quantify unoccupied antibody-binding sites that are inversely related to the free hormone concentration - a procedure that has been referred to as "back-titration (80).

 

CLINICAL UTILITY OF FT4 AND T3 IMMUNOASSAY MEASURMENTS

 

Current reference ranges for FT4 and FT3 immunoassays are method-dependent because of calibration biases that preclude establishing a universal reference range that would apply across methods (13,68,86). These biases are evident for FT4 immunoassay methods shown in Figure 4. Most FT4 methods give diagnostically reliable results when binding proteins are near-normal, provided that a method-specific reference range is employed (69). However, both TT3 and FT3 immunoassays tend to be inaccurate in the low range (78,140) and have no value for diagnosing or monitoring treatment for hypothyroidism (52,141), although FT3 measurements can be useful for diagnosing or confirming unusual cases of hyperthyroidism.

 

Ambulatory Patients

 

FT4 and FT3 tests are used in preference to TT4 or TT3 measurements because they have better diagnostic accuracy for detecting hypo- and hyperthyroidism in patients with abnormal thyroid hormone binding proteins (figure 2). FT4 typically serves as a second-line test for confirming primary thyroid dysfunction detected by an abnormal TSH, but is the first-line test when thyroid status is unstable (early phase of treating hypo- or hyperthyroidism); in the presence of pituitary/hypothalamic disease (when TSH is unreliable); or when patients are taking drugs such as dopamine or glucocorticoids that are known to affect TSH secretion (10,104,110,142). Mild "subclinical" thyroid dysfunction is characterized by a TSH/FT4 discordance (abnormal TSH/normal FT4) reflecting the intrinsic complex nature of the inverse log/linear TSH/FT4 relationship (8,10,143) - a relationship that is modified by age and sex (144,145). Thus, small changes in FT4, even within normal limits, are expected to produce a mild degree of TSH abnormality - between 0.05 and 0.3 mIU/L (with subclinical hyperthyroidism) and 5 and 10 mIU/L (with subclinical hypothyroidism). An unexpected TSH/FT4 discordance if confirmed, should prompt an investigation for interference with FT4, TSH or both tests (91,146,147). FT4 interference can result from severe binding protein abnormalities such as congenital TBG excess or deficiency (26,62,103,148,149), dysalbuminemias (105,150-152), thyroid hormone autoantibodies (147,153-155), or drug interferences (62,104,123).

 

Pregnant Patients

 

Current reference ranges for FT4 immunoassays are method-dependent because of calibration biases that precludes establishing a universal reference range that would apply across methods (Figure 4) (156,157). This between-method variability has profound effects on the setting of the FT4 reference range for pregnancy (Figure 5).  As with non-pregnant patients, TSH is the first-line test to use for assessing thyroid status during pregnancy (48,158). However, FT4 measurement is needed for monitoring anti-thyroid drug treatment of hyperthyroid pregnant patients who have an undetectable TSH. The question whether an isolated low FT4 during pregnancy is a maternal or fetal risk factor, remains controversial (159,160), although some studies suggest that low FT4 may be a risk factor for gestational diabetes and fetal complications (161-163). Non-pregnant FT4 reference ranges do not apply to pregnancy since FT4 progressively declines as gestation progresses, necessitating the use of a trimester-specific reference ranges (73,158,164,165). Setting universal trimester-specific FT4 reference ranges is currently hampered by the between-method differences shown in Figure 4 and 5 (69,156,165), compounded by the differences related to ethnicity (166-170), iodine intake (171-173), smoking (174), and BMI (145,166). Establishing institution-specific trimester-specific reference ranges from the 2.5 to 97.5 percentiles by recruiting at least 400 pregnant patients (170) is not practical for most institutions. After the proposed re-standardization of FT4 methods against the RMP the feasibility of establishing universal trimester-specific reference ranges will improve (13,69,135). However, binding protein effects will remain, and population-specific factors will still have to be considered.

Figure 5. Between-Method FT4 Variability Impacts Thyroid Testing in Pregnancy. The figure shows the upper and lower FT4 reference limits (2.5–97.5%) from 43 published studies of FT4 measurements made in each trimester of pregnancy by four different methods: Abbott (1), Beckman (2), Roche (3) and Siemens (4). The data shows the expected trend for higher FT4 in the first trimester, resulting from thyroidal human chorionic gonadotropin (HCG) stimulation which is maximal in early pregnancy. The data is re-drawn with permission from reference 156.

Hospitalized Patients with Nonthyroidal Illnesses (NTI)

 

The diagnostic performance of current FT4 methods has not been evaluated in hospitalized patients with NTI where the severity of illness, binding protein inhibitors, and drug therapies can negatively impact the reliability of both thyroid hormone and TSH testing (10,30,62,90,122,132,181-183). Three categories of hospitalized patients deserve special attention: a) patients with NTI without known thyroid dysfunction who have a high or low T4 status; b) patients with primary hypothyroidism and concurrent NTI and, c) patients with hyperthyroidism and concurrent NTI (13). Because the diagnostic reliability of FT4 testing is still questionable in sick hospitalized patients, a combination of both T4 (FT4 or TT4) and TSH may be needed to assess thyroid status in this setting (10,13).

 

In most clinical situations where FT4 and TSH results are discordant, the TSH test is the most diagnostically reliable, provided that the patient does not have pituitary failure or receiving medications such as glucocorticoids or dopamine that directly inhibit TSH secretion (110,142,181). Repetitive TSH testing may be helpful in resolving the cause of an abnormal FT4, because the TSH abnormalities of NTI are typically transient (Figure 6b) whereas the TSH abnormality will persist if due to underlying thyroid dysfunction (184-187). In some cases, it may be useful to test for TPOAb as a marker for underlying thyroid autoimmunity.

Figure 6. Effects of Nonthyroidal Illness (NTI) on Thyroid Tests. Figure 6a shows the magnitude and direction of changes in total (TT4 and TT3) and free (FT4 and FT3) thyroid hormone IMA tests versus FT4 measured by the RMP (ED-ID-LC-MS/MS), as the severity of illness increases, followed by recovery. Figure 6b shows the magnitude and direction of TSH changes as the severity of illness increases, followed by recovery. Data redrawn from reference 188 with permission.

Pediatric Patients

 

The determination of normal reference limits for pediatric age groups is especially challenging, given the limited number of studies involving large numbers of healthy children (175-177). Most studies report that serum TSH peaks after birth and steadily declines throughout childhood to reach adult levels at puberty. Likewise, FT3 declines across the pediatric age groups during childhood and approaches the adult range at puberty, whereas FT4 levels for infants less than a year old are higher than for children 1 to 18 years old who have FT4 comparable to adults (175-180).

 

Interferences with Thyroid Hormone Tests

 

Only the ordering physician can suspect interference with a test result and request that the laboratory perform interference checks. This is because the hallmark of interference is discordance between the test result and the clinical presentation of the patient, and most specimens are sent to the laboratory with no clinical information. Failure to recognize interferences can have adverse clinical consequences (91,146,189-197).

 

Laboratory checks for interferences include, a) showing a discordance between different manufacturers methods (196,198-200), b) re-measurement of the analyte after adding a blocker of Heterophile antibodies (HAb) (196,200,201), c) performing linearity studies or d) precipitating interfering immunoglobulins with polyethylene glycol (PEG) (196,198). A change in the analyte concentration in response to any one of these maneuvers suggests interference, but a lack of an effect does not rule out interference.

 

Interferences can be classified as either (a) non-analyte-specific, or (b) analyte-specific (191,195,199).

 

NON-ANALYTE SPECIFIC INTERFERENCES

 

Protein Interferences

 

Either paraproteins or abnormal immunoglobulins can interfere with immunoassays (90,202-205).

 

Congenital TBG excess or deficiency: Free hormone immunoassays and free T4 index tests may be susceptible to interference from grossly abnormal TBG concentrations, such as seen in congenital TBG excess or deficiency states (26,62,103,148,149).

 

Pregnancy: Estrogen stimulation increases TBG, and consequently both TT4 and TT3, concentrations progressively rise to plateau at 2.5-fold pre-pregnancy values by mid-gestation (73). Despite the rise in total hormone, both FT4 and FT3 decline during gestation, in accordance with the law of mass action (73,157,158,206,207). However, the degree of FT4 decline during pregnancy is variable and method-dependent (Figure 5). The declining albumin concentrations typical of late gestation also affect some methods (208).

 

Familial Dysalbuminemias and Transthyretin Hyperthyroxinemias:  Autosomal dominant mutations in the albumin or transthyretin (prealbumin) gene (209) can result in altered protein structures with enhanced affinity for thyroxine and/or triiodothyronine. These abnormal proteins can interfere with FT4 and/or FT3 measurements and result in inappropriately high FT4 and/or FT3 immunoassay values (105,151,210-212). Familial Dysalbuminemic Hyperthyroxinemia (FDH) is a rare condition with a prevalence of ~1.8 percent in the Hispanic population (119,213). It arises from a few genetic variants in the albumin gene, with the R218H being the most common. Some variants result in extremely high TT4, whereas other mutations (i.e. L66P) affect mainly TT3 (150). Affected individuals are euthyroid and have normal TSH and FT4 when measured by direct techniques such as equilibrium dialysis (105). Unfortunately, most FT4 estimate tests (immunoassays and indexes) report falsely high values for FDH patients that may prompt inappropriate treatment for presumed hyperthyroidism if the condition is not recognized (105,119).

 

Heterophile Antibodies (HAb)

 

It is well recognized that heterophile antibodies (HAb) - human poly-specific antibodies targeting animal antigens, can interfere with immunometric assays causing falsely high/positive or falsely low/negative test results (214,215). The most common interferant is human anti-mouse antibodies (HAMA) (199,215-220). Rheumatoid factor (RF), an immunoglobulin commonly associated with autoimmune conditions, is also considered a heterophile antibody that can interfere by targeting human antigens (199,217,221,222). Although HAb usually causes false positive tests, false-negative tests have also been reported (214). HAb has been shown to interfere with multiple endocrine tests that use IMA principles, including free and total thyroid hormones, TSH, Tg, and TgAb (138,193,200,214,221,223-225). The prevalence of HAbs is variable but has been reported as high as eleven percent (223,226,227). In recent years assay manufacturers have increased the immunoglobulin blocker reagents added to their tests and this has reduced HAb interference somewhat (223,225-227). However, interference is still seen in some patients with a high enough HAb to overcome the assay blocker (198,223,228). HAb interference mostly affects non-competitive immunometric assays (IMA) that employ monoclonal antibodies of murine origin (216). Assays based on the competitive format that employ high affinity polyclonal antibody reagents, are rarely affected (216). The test marketed by one manufacturer can be severely affected, whereas the test from a different manufacturer may appear unaffected (200). This is why the first step for investigating interference is re-measurement of the analyte by a different method. It should be noted that patients receiving recent vaccines, blood transfusions, or monoclonal antibodies (given for treatment or scintigraphy), as well as veterinarians and those in contact with animals, are especially prone to test interferences caused by induced HAb and human anti-mouse antibodies (HAMA) (198,229).

 

Anti-Reagent Antibodies

 

Interference can be caused by antibodies targeting assay reagents. For example, a number of reports have found that anti-rhuthenium antibodies can interfere with TSH, FT4, and FT3 tests (200,230).  In addition, antibodies targeting either streptavidin (231,232) or Biotin (233,234) can interfere with assays employing streptavidin or biotin reagents.

 

High Dose Dietary Biotin

 

Some IMA tests have employed a biotin-streptavidin separation system (232). Patients who take a high dose of dietary biotin risk having test interferences with such methods (232). Depending on the specific test formulation, biotin interference can cause falsely high- or low- test results (234-236). Manufacturers are now prioritizing replacing their biotin-streptavidin separation systems to eliminate this problem (237).

 

ANALYTE-SPECIFIC INTERENCES

 

Analyte-specific interferences typically result from autoantibodies targeting the analyte (238). Autoantibodies targeting both TSH (macro-TSH) (238-241) and both thyroid hormones (T4 and/or T3) (154,155) have been reported. Autoantibody interferences may be more prevalent in patients with non-thyroid autoimmune conditions (242,243). Depending on the analyte and test formulation, thyroid hormone and TSH autoantibodies typically cause falsely high tests (239,244).  It should be noted that transplacental passage of either HAb or anti-analyte autoantibodies (i.e. TSHAb or T4Ab) have the potential to interfere with neonatal screening tests (245-247). Specifically, maternal TSH autoantibodies can cross the placenta and cause a falsely high TSH screening test in the newborn mimicking congenital hypothyroidism (247), whereas maternal T4 autoantibodies could cause a falsely high neonatal T4 test and mask the presence of congenital hypothyroidism (246).

 

Thyroid Hormone Autoantibodies (T4Ab/T3Ab)

 

T4 and T3 autoantibodies can falsely elevate total hormone, free hormone, or THBR measurements depending on the method employed (153,155,210). The prevalence of thyroid hormone autoantibodies occurs in approximately 2 percent of the general population but may be present in over 30 percent of patients with autoimmune thyroid disease or other autoimmune conditions (242,243,248). However, despite their high prevalence, significant interference caused by thyroid autoantibodies is not common and depends on the qualitative characteristics of the autoantibody present (i.e. its affinity for the test reagents). Furthermore, different methods exhibit such interferences to a greater or lesser extent (120,154). Because autoantibody interference is difficult for the laboratory to detect proactively, it is the physician who should first suspect interference from an unexpected discordance between the clinical presentation of the patient and the test result(s) (249,250).

 

TSH (THYROID STIMULATING HORMONE) MEASUREMENT

 

Over the last five decades the dramatic improvements in TSH assay sensitivity and specificity have revolutionized thyroid testing and firmly established TSH as the first-line test for ambulatory patients who are not receiving drugs known to alter TSH secretion (10,13,251). Serum TSH has become the therapeutic target for levothyroxine (L-T4) replacement therapy for hypothyroidism (52) and suppression therapy for differentiated thyroid cancer (DTC) (57,252,253). The diagnostic superiority of TSH versus FT4 measurement arises from the inverse, predominantly log/linear, TSH/FT4 relationship, that is modified to some extent by factors such as age, sex, active smoking, and TPOAb status (8,10,13,143,144,254,255).

 

TSH Assays

 

TSH assay "quality" has historically been defined by clinical sensitivity – the ability to discriminate between hyperthyroid and euthyroid TSH values (8,10,13,256). The first generation of RIA methods had a detection limit approximating 1.0 mIU/L (1,3,257) that limited their clinical utility to diagnosing primary hyperthyroidism (258) and necessitated the use of TRH stimulation to diagnose hyperthyroidism, characterized by an absent TRH-stimulated TSH response (259-261). With the advent of immunometric assay (IMA) methodology that uses a combination of poly- and/or monoclonal antibodies targeting different TSH epitopes in a "sandwich" format (262-264), a ten-fold improvement in TSH assay sensitivity (~ 0.1 mIU/L) was achieved when using isotopic (I125) signals (265). This level of sensitivity facilitated the determination of the lower TSH reference limit (0.3-0.4 mIU/L) and the detection of overt hyperthyroidism without the need for TRH stimulation (266,267) but was still insufficient for distinguishing between differing degrees of hyperthyroidism (i.e. subclinical versus overt) (268). Assay sensitization continued until a third generation of TSH IMAs was developed by employing non-isotopic signals that could achieve a sensitivity of 0.01 mIU/L (8,251,267). Initially different non-isotopic signals were used that gave rise to a lexicon of terminology to distinguish between assays: immunoenzymometric assays (IEMA) used enzyme signals; immunofluorometric assays (IFMA) used fluorophors as signals, immunochemiluminometric assays (ICMA) used chemiluminescent molecules as signals, and immunobioluminometric assays (IBMA) used bioluminescent signal molecules (112,267). Current TSH methods are mostly automated ICMAs that achieve third generation functional sensitivity (FS = ≤0.01 mIU/L) - a FS level that has now become the standard of care (10,13,269).

 

FUNCTIONAL SENSITIVITY (FS) = THE LOWEST REPORTABLE ASSAY LIMIT

 

During the period of active TSH assay sensitization, different non-isotopic IMAs made competing claims for sensitivity. Methods were described as: "sensitive", "highly sensitive", "ultrasensitive", or "supersensitive" - marketing terms that had no scientific definition. This confusion led to a debate concerning what was the most clinically relevant parameter to use to determine the lowest reliable reportable TSH value for clinical practice (10,251,267). Functional sensitivity (FS) became defined as the lowest analyte concentration measured with 20 percent coefficient of variation (10) established over a clinically relevant timespan (6-8 weeks for TSH). FS is now recognized as the parameter that best represents the between-run precision for measuring low analyte concentrations in clinical practice (10,270,271). FS is used to define the lower reportable limit for not only TSH but also Tg and TgAb, as well as other non-thyroid assays for which analytic sensitivity is critical (10). FS protocols recognize that immunoassays tend to be matrix-sensitive and specify that precision be determined in human sera rather than a quality control material that uses an artificial protein matrix (71,72,272). The timespan used for determining precision is also analyte-specific and should reflect the frequency of testing employed in clinical practice - 6 to 8 weeks for TSH, but 6 to 12 months for the Tg and TgAb - assays that are used as tumor markers for monitoring DTC. An optimal timescale is important, because low-end precision erodes over time due to a myriad of variables including reagent lot-to-lot variability (71). Note that the FS parameter is more stringent than other biochemical sensitivity parameters such as limit of detection (LOD - a within-run parameter) and limit of quantitation (LOQ - a between-run parameter without stipulations regarding the matrix and the timespan used for determining precision (72,271,273). A ten-fold difference in FS has been used to define each generation of increasingly more sensitive methods (17,251,271,274). Thus, TSH RIA methods with FS approximating 1.0 mIU/L were designated "first generation", the TSH immunoradiometric (IRMA) methods that had a functional sensitivity approximating 0.1 mIU/L were designated " second generation", and current TSH ICMAs with FS approximating 0.01 mIU/L are now designated "third generation" assays (267,270,275).

 

TSH BIOLOGIC VARIABILITY

 

TSH is a heterogeneous glycoprotein (276-278), and TRH-mediated changes in TSH glycosylation and thus detection by IMA methodology (279,280) have the potential to influence immunoactivity (277,281). Alterations in TSH glycosylation can occur in a number of pathophysiologic circumstances (278,282). Seasonal variability in TSH has been shown with 10% higher TSH levels in the winter than in the summer months (283). However, FT4 and FT3 levels show no such seasonal variability (283). The demonstration that harmonization of TSH methods successfully minimizes between-method differences (69), suggesting that under normal conditions current TSH IMAs appear to be "glycosylation blind" and detect different TSH glycoforms in an equimolar fashion (277,278). However, future studies need to include sera from conditions where TRH dysregulation may lead to abnormal TSH glycosylation and bioactivity, such as pituitary dysfunction, NTI, and aging (278,280,281,284-286).

 

TSH intra-individual variability is relatively narrow (20-25 percent) in both non-pregnant and pregnant subjects, as compared with between-person variability (13,287,288). In fact, the serum TSH of euthyroid volunteers was found to vary only ~0.5 mIU/L when tested every month over a span of one year (287). Twin studies suggest that there are genetic factors that determine hypothalamic-pituitary-thyroid setpoints (289-291). These studies report that the inheritable contribution to the serum TSH level approximates 65 percent (290,291). This genetic influence appears in part to involve single nucleotide polymorphisms in thyroid hormone pathway genes such as the phosphodiesterase gene (PDE8B) (292), polymorphisms causing gain (293) or loss of function TSH receptors (294), and the type II deiodinase enzyme polymorphisms (293). Undoubtedly, such polymorphisms account for some of the euthyroid outliers that skew TSH reference range calculations (295). The narrow TSH within-person variability and low (< 0.6) index of individuality (IoI) (287,288) limits the clinical utility of using the TSH population-based reference range to detect thyroid dysfunction in an individual patient (288,296-298). When evaluating patients with marginally (confirmed) low (0.1–0.4 mIU/L) or high (4–10 mIU/L) TSH abnormalities, it is more important to consider the degree of TSH abnormality relative to patient-specific risk factors for cardiovascular disease rather than the degree of the abnormality relative to the TSH reference range (13,52,299).

 

TSH REFERENCE RANGES   

 

As with the thyroid hormone tests, the significant biases between different TSH methods (Figure 7) prevent establishing universal population or trimester-specific reference ranges that would apply across methods (13,170). These method biases also impact the detection of subclinical hypothyroidism (299,300). Since TSH is a complex glycoprotein, no reference measurement procedure (RMP) is available, or will likely be feasible in the future (13), given the current lack of commutability between the pituitary TSH reference preparations and patient specimens (33). A harmonization approach (31,301), whereby methods are recalibrated to the "all method mean", has been shown to have the potential to effectively eliminate current between-method TSH differences that are most pronounced at pathophysiologic levels (29,302). Better harmonization may also be possible using a reference panel of serum specimens (33). The IFCC is actively working with the IVD industry to encourage manufacturers to harmonize their methods. A reduction of between-method variability could eliminate the need to establish method-specific TSH reference ranges - a practice that is costly and inconvenient given the large numbers of rigorously screened participants that are necessary to establish reliable 2.5th to 97.5th percentiles for a population (87,303). However, even after harmonization minimizes inter-method differences, it remains to be determined to what extent universal ranges would be impacted by other factors such as age (254,304), ethnicity (254), and iodine intake (305). It may be that a reference range established in one geographic location may not be representative of a different locale or population. The harmonization of TSH methods would be advantageous for consolidating data from different studies and establishing universal reference limits (13).

Figure 7. TSH Between-Method Variability. Figure shows deviations in TSH measurements made in the low (<0.5), medium (0.5-5.0), and high (>5) mIU/L range using 14 different immunoassays. Data is expressed as deviations from the trimmed all method mean (88).

TSH POPULATION REFERENCE RANGE

 

The log/linear TSH/FT4 relationship (8,10,143,144,255) dictates that TSH will be the first abnormality to appear as mild (subclinical) as hypo- or hyperthyroidism develops. It follows that the setting of the TSH reference limits critically influences the frequency of diagnosing subclinical thyroid disease (50,53). It is recommended that “TSH reference intervals should be established from the 95 percent confidence limits of the log-transformed values of at least 120 rigorously screened normal euthyroid volunteers who have: (a) no detectable thyroid autoantibodies, TPOAb or TgAb; (b) no personal or family history of thyroid dysfunction; (c) no visible or palpable goiter and, (d) who are taking no medications (except estrogen)”  (10,303).

 

Multiple factors influence population TSH reference limits, especially the upper (97.5th percentile) limit. Different methods report different ranges for the same population resulting from between-methods biases (Figure 7) (13). A key factor affecting the upper limit is the stringency used for eliminating individuals with thyroid autoimmunity from the population (306-308). Other factors relate to population demographics such as sex (254), ethnicity (254,309,310), iodine intake (311,312), BMI (313,314), and smoking status (311,315). The relationship between TSH and age is complex with most studies in iodine sufficient populations reporting an increase in the TSH upper limit with age (143,254,308,309,316). This has led to the suggestion that age-and sex-specific TSH reference limits be used (50,316). Conflicting data on this issue could merely represent population differences with an increasing prevalence of thyroid autoimmunity in iodine-sufficient populations (254,317). Whereas in iodine deficient populations, increasing autonomy of nodular goiter can result in decreased TSH with aging (318). Some studies have reported that a mild TSH elevation in elderly individuals may convey a survival benefit (319), whereas other studies dispute this (320). However, TSH is a labile hormone, and studies cannot assume that a TSH abnormality found in a single determination is representative of thyroid status in the long-term (321).

 

PEDIATRIC TSH REFERENCE RANGES

 

The adult TSH population reference range does not apply to neonates or children. Serum TSH values are generally higher in neonates and then gradually decline until the adult range is reached after puberty (178,179,322,323). This necessitates using age-specific TSH reference ranges for diagnosing thyroid dysfunction in different pediatric age groups.

 

SUBCLINICAL THYROID DYSFUNCTION  

 

Subclinical Hyperthyroidism (SCHY) is defined as a low (<2.5th percentile) but detectable TSH (0.01 - 0.3 mIU/L range) without a FT4 abnormality. SCHY seems relatively independent of the method used (324-326). Endogenous SCHY prevalence is low (0.7 %) in iodine-sufficient populations (254) but may increase as an iatrogenic consequence of L-T4 replacement therapy (327-330). SCHY is a risk factor for osteoporosis and increased fracture risk (331) as well as atrial fibrillation and cardiovascular disease (325,332-334), especially in older patients.

 

Subclinical Hypothyroidism (SCHO) is defined as a TSH above the upper (>97.5th percentile) TSH reference limit without a FT4 abnormality (50,300,308,335). However, the setting of the TSH upper limit remains controversial, thus the prevalence of SCHO is highly variable - 4 to 8.5 percent rising to 15 percent in older populations (254,299,307,335). In most cases, SCHO is associated with TPOAb positivity, indicative of an autoimmune etiology (307). The clinical consequences of SCHO relate to the degree of TSH elevation (336,337). Most guidelines recommend L-T4 treatment of SCHO when TSH is above 10 mIU/L (49,50), but below 10 mIU/L L-T4 treatment is usually based on patient-specific risk factors (50). There is active debate concerning the efficacy of treating SCHO to prevent progression (338-340), or improve renal (341), cardiovascular (333,336,342-346), or lipid (347,348) abnormalities that can be associated with SCHO.

 

THYROID DYSFUNCTION IN PREGNANCY  

 

Overt hypo- or hyperthyroidism is associated with both maternal and fetal complications (349-352). However, the impact of maternal subclinical thyroid dysfunction remains controversial (51), although no maternal or fetal complications appear associated with subclinical hyperthyroidism during pregnancy (349,353). First trimester "gestational hyperthyroidism" is typically transient and hCG-related (354). In contrast, short-term and long-term outcome studies of maternal subclinical hypothyroidism (51,355) are complicated by heterogeneity among studies arising from a myriad of factors influencing TSH cutoffs, such as gestational stage, TSH method used, maternal TPOAb status, and current and pre-pregnancy iodine intake (160,172). Using gestational age-specific reference intervals the frequency of SCHO in first trimester pregnancy approximates 2-5 percent (355,356). Studies have found that subclinical hypothyroidism is associated with increased frequency of maternal and fetal complications, especially when TPOAb is positive (51,160,349,357-362).  Maternal complications have included miscarriage (358), preeclampsia (363,364), placental abruption (350), preterm delivery (349,358,365,366), and post-partum thyroiditis (359). Fetal complications have included intrauterine growth retardation and low birth weight (350,353) and possible impaired neuropsychological development (367,368). It remains controversial whether L-T4 treatment of SCHO in early gestation decreases the risk of complications (358,362,369).

 

Trimester-Specific TSH Reference Ranges. As with non-pregnant patients, TSH is the first-line test used for assessing thyroid status during pregnancy when gestation-related TSH changes occur (47,51,76,158,355). Currently, method specific TSH reference ranges are needed for each trimester because of between-method variability (Figure 8). In the first trimester, there is a transient rise in FT4 caused by high hCG concentrations stimulating the TSH receptor - because hCG shares some homology with TSH (370-372). The degree of TSH suppression is inversely related to the hCG concentration and can be quite profound in patients with hyperemesis who have an especially high hCG (165,370,372-374). As gestation progresses, TSH tends to return towards pre-pregnancy levels (165). Recent studies from different geographic areas with diverse iodine intakes using different TSH methods have reported higher trimester-specific TSH upper limits than recommended by previous guidelines (51,159,164,165, 355, 375). In response, the American Thyroid Association have revised their pregnancy guidelines (47,48) to replace trimester-specific reference limits by a universal upper TSH limit of 4.0 mIU/L, when TPOAb is negative and no local reference range data is available (376). However, at this time between-method biases (Figure 7) clearly preclude proposing universal TSH cut offs that would apply to all methods and all populations including pregnant patients (69,87,164,165). IVD manufacturers are being encouraged to harmonize their TSH methods so that universal reference limits can be established for pregnancy (69,87). Requiring each institution to establish their own trimester-specific reference ranges is impractical, given the costs, logistics and ethical considerations involved in recruiting the more than 400 disease-free pregnant women that would be needed to represent each trimester (158). Even after methods are re-standardized (FT4) or harmonized (TSH), trimester-specific reference ranges would still be influenced by differences in ethnicity and iodine intake, especially the pre-pregnancy iodine intake that influences thyroidal iodine stores (172). In addition, since the TSH upper limit is skewed by the inclusion of individuals with thyroid autoimmunity, reliable method-specific TPOAb cutoffs need to be established (165,372,377).

 

Figure 8. Between-Method TSH Variability Impacts Thyroid Testing in Pregnancy. The figure is a summary of 43 published studies showing the upper and lower TSH reference limits (2.5–97.5 %) measured in each trimester of pregnancy by four different methods – Abbott (1), Beckman (2), Roche (3), and Siemens (4). The data shows the expected trend for a lower TSH in the first trimester, resulting from thyroidal human chorionic gonadotropin (HCG) stimulation of thyroxine, which is maximal in the first trimester. The data is re- drawn with permission from reference 156.

Clinical Utility of TSH Measurement

 

AMBULATORY PATIENTS

 

In the outpatient setting the reliability of TSH testing is not usually influenced by the time of day of the blood draw, because the diurnal TSH peak occurs between midnight and 0400 (378-381). However, seasonal changes in TSH have been shown, with TSH approximately 10 % higher in winter than in summer (283). Third generation TSH assays (FS ~0.01 mIU/L) have now become the standard of care because they can reliably detect the full spectrum of thyroid dysfunction from overt hyperthyroidism to overt hypothyroidism, provided that hypothalamic-pituitary function is intact, and thyroid status stable (10,49,382,383). TSH is also used for optimizing L-T4 therapy - a drug with a narrow therapeutic range (49,384). Because TSH secretion is slow to respond to changes in thyroxine status there is no need to withhold the L-T4 dose on the day of the blood test (10,384). In addition, in differentiated thyroid cancer (DTC) patients, targeting the degree of TSH suppression relative to recurrence risk plays a critical role in management (57,385,386).

 

HOSPITALIZED PATIENTS WITH NONTHYROIDAL ILLNESSES (NTI)

 

Non-thyroidal illness, sometimes called the "sick euthyroid syndrome" is associated with alterations in hypothalamic/pituitary function and thyroid hormone peripheral metabolism, often exacerbated by drug influences (104,181,186,387-389). Routine thyroid testing in the hospital setting is not recommended because thyroid test abnormalities are frequently seen in sick euthyroid patients (Figure 6) (388-391). TSH also usually remains within normal limits or may become somewhat depressed in the early phase, especially in response to drug therapies such as dopamine or glucocorticoid (104,110,181). During the recovery phase, TSH frequently rebounds above the reference range (184).  High TSH may also be seen associated with psychiatric illness (392). It is important to distinguish the generally mild, transient TSH alterations typical of NTI from the more profound and persistent TSH changes associated with hyper- or hypothyroidism (10,183,185,390).

 

Causes of Misleading TSH Measurements 

 

A diagnostically misleading TSH can result from biological factors or interferants in the serum such as drugs, heterophile antibodies (i.e. HAMA), or endogenous TSH autoantibodies (91,195,197,378,393). In most cases such interferences cause a falsely high TSH.

 

BIOLOGIC FACTORS CAUSING MISLEADING TSH

 

Unstable Thyroid Function

 

TSH can be misleading when there is unstable thyroid status - such as in the early phase of treating hypo- or hyperthyroidism or non-compliance with L-T4 therapy - when there is a lag in the resetting of pituitary TSH to reflect a new thyroid status (394). During such periods of instability TSH will be misleading and FT4 will be the more diagnostically reliable test. 

 

 Pituitary/Hypothalamic Dysfunction

 

Pituitary dysfunction is rare in ambulatory patients (395). TSH measurement is unreliable in cases of both central hypothyroidism and central hyperthyroidism (285,395-397).  

 

Central hypothyroidism (CH) is rare, 1/1000 less prevalent than primary hypothyroidism, 1/160,000 detected by neonatal screening) (395). CH can arise from disease at either the pituitary or hypothalamic level, or both (395). A major limitation of using a TSH-centered screening strategy is that current TSH tests will miss a diagnosis of CH because TSH IMAs are “glycosylation blind” and detect the abnormally glycosylated biologically inactive TSH as “normal” TSH, despite clinical hypothyroidism (276,285,396). This limitation necessitates that the clinical diagnosis of CH be confirmed biochemically as a low FT4/normal-low TSH discordance. and that L-T4 replacement therapy for CH be optimized using the serum FT4 not TSH. It should be noted that in the absence of clinical suspicion, investigations for pituitary dysfunction should only be initiated after ruling-out technical interference.

 

TSH secreting pituitary adenomas are characterized by a non-suppressed TSH associated with high thyroid hormone levels and clinical hyperthyroidism (397,398). Since this is a rare type of pituitary adenoma (0.7 %), technical interferences such as heterophile antibody (HAb) or TSH autoantibodies (macro TSH) should be excluded before initiating inconvenient and unnecessary pituitary imaging or dynamic diagnostic testing such as T3 suppression or TRH stimulation. This clinical/biochemical discordance reflects the TSH isoforms with enhanced biologic activity secreted by the adenoma. As with CH, current TSH IMA methods cannot distinguish these abnormal isoforms from normal TSH. Failure to diagnose the pituitary as the cause of the hyperthyroidism can lead to inappropriate thyroid ablation. The treatment of choice is surgery but in cases of surgical failure somatostatin analog treatment has been found effective (398). Note that the biochemical profile (high thyroid hormones and non-suppressed TSH) resembles that seen with thyroid hormone resistance syndromes (399,400) or interference from thyroid autoantibodies (120).

 

Resistance to Thyroid Hormone (RTH)

 

Resistance to thyroid hormone is caused by mutations in the THRB gene encoding the thyroid hormone receptor Band is biochemically characterized by high thyroid hormone (FT4 +/- T3) levels and a non-suppressed, sometimes slightly elevated TSH (402,403). Tissues expressing primarily the thyroid hormone receptor B  are hypothyroid (e.g. the liver), whereas organs with a predominant expression of thyroid receptor A (e.g. the heart) display alterations consistent with thyroid hormone excess (400,401). Early cases of thyroid hormone resistance were shown to result from mutations in the thyroid hormone receptor B (400). More recently the syndromes with decreased sensitivity to thyroid hormones have been broadened to include mutations in thyroid hormone transporters (e.g. MCT8), the metabolism of thyroid hormone (e.g. SBP2), and resistance mediated by mutations in thyroid receptor A (401) (for detailed discussion see the Endotext chapter entitled “Impaired Sensitivity to Thyroid Hormone: Defects of Transport, Metabolism and Action”). These insensitivity and resistance syndromes display a spectrum of clinical and biochemical profiles and can now be identified by genetic testing.

 

Activating or Inactivating TSH Receptor Mutations

 

Non-autoimmune hyperthyroidism resulting from an activating mutation of the TSH receptor (TSHR) is rare (293,402). A spectrum of loss-of-function TSHR mutations (TSH resistance) causing clinical and subclinical hypothyroidism despite high thyroid hormone levels, have also been described (295,400,403,404). Because TSHR mutations are a rare cause of TSH/FT4 discordances, technical interferences should first be excluded before considering a TSHR mutation as the cause of these discordant biochemical profiles.

 

TECHNICAL FACTORS CAUSING MISLEADING TSH

 

Non-Analyte Specific Interferences

 

Heterophile Antibodies (HAbs) such as Human Anti Mouse Antibody (HAMA) can cause falsely high TSH IMA tests (200,220,241,405,406) and interfere with neonatal TSH screening (407). Since the HAb in some patient's sera interfere strongly with some manufacturers tests but appear inert in others (200), re-measurement using a different manufacturers assay should be the first test to identify interference. A fall in TSH in response to a blocker-tube treatment (43) is typically used to confirm HAb interference.

 

Anti-Reagent Antibody Interferences. As discussed for free hormone tests, some patients have antibodies that target test reagents such as rhuthenium and cause interference with TSH tests. (408). It should be noted that the anti-rhuthenium antibodies of different patients may affect different analytes to differing degrees (230,409,410).

 

Biotin Interferences. Tests employing streptavidin or biotin reagents are prone to interferences from antibodies targeting either streptavidin (231) or biotin (233). Alternatively, high dose biotin ingestion has been known to produce interference in an analyte-specific, platform-specific manner (241,411). The popularity of biotin therapy is now prompting assay manufacturers to reformulate their tests to remove biotin interference (237,412).

 

Analyte-Specific Interferences

 

Analyte-specific interferences typically result from autoantibodies targeting the analyte. Depending on the analyte and test formulation, autoantibody interferences most commonly cause falsely high test results. It should be noted that transplacental passage of both heterophile antibodies or anti-analyte autoantibodies (i.e. TSHAb or T4Ab) have the potential to interfere with neonatal screening tests (245-247,413). Patients with autoantibodies targeting both TSH and prolactin (PRL) have been described (414).

 

TSH Autoantibodies (Macro TSH). Analytically suspicious TSH measurements are not uncommon (205,238,239,244,415) and have been reported in up to five percent of specimens subjected to rigorous screening (405). There have been many reports of TSHAb, often referred to as "macro TSH” causing spuriously high TSH results in a range of different methods used for both adult (238,416) and neonatal screening (244,415). The prevalence of TSHAb approximates 0.8 percent but can be as high as 1.6 percent in patients with subclinical hypothyroidism (238). The most convenient test for TSHAb is to show a lowering of TSH in response to a polyethylene glycol (PEG) precipitation of immunoglobulins (415-417). Alternatively, column chromatography can show TSH immunoactivity in a high molecular weight peak representing a bioinactive TSH-immunglobulin complex (415,416).

 

TSH Variants. TSH variants are a rare cause of interference (403). Nine different TSH beta variants have been identified to date (286). These mutant TSH molecules may have altered immunoactivity and be detected by some TSH IMA methods but not others (403). The bioactivity of these TSH mutants is variable and can range from normal to bio-inert (286,403), resulting in discordances between the TSH concentration and clinical status (403) and/or a discordant TSH/FT4 relationship (286). These TSH genetic variants are one of the causes of central congenital hypothyroidism (418,419).

 

THYROID SPECIFIC AUTOANTIBODIES (TRAb, TPOAb and TgAb)

 

Tests for antibodies targeting thyroid-specific antigens such as thyroid peroxidase (TPO), thyroglobulin (Tg) and TSH receptors (TSHR) are used as markers for autoimmune thyroid conditions (420-422). Over the last four decades, thyroid antibody test methodologies have evolved from semi-quantitative agglutination, complement fixation techniques and whole animal bioassays to specific ligand assays using recombinant antigens or cell culture systems transfected with the human TSH receptor (20,420). Unfortunately, the diagnostic and prognostic value of these tests has been hampered by methodologic differences as well as difficulties with assay standardization (423,424). Although most thyroid autoantibody testing is currently made on automated immunoassay platforms, methods vary in sensitivity, specificity, and the numeric values they report because of standardization issues (45,377,425).  Thyroid autoantibody testing can be useful for diagnosing or monitoring treatment for several clinical conditions, although these tests should be selectively employed as adjunctive tests to other diagnostic testing procedures.

 

TSH Receptor Autoantibodies (TRAb)

 

The TSH receptor (TSHR) serves as a major autoantigen (19,422,426-428). Thyroid gland stimulation occurs when TSH binds to the TSHR on thyrocyte plasma membranes and activates the cAMP and phospholipase C signaling pathways (427). The TSH receptor belongs to the G protein-coupled class of transmembrane receptors. It undergoes complex posttranslational processing in which the ectodomain of the receptor is cleaved to release a subunit into the circulation (426). The TSH-like thyroid stimulator found uniquely in the serum of Graves’ disease patients was first described using a guinea pig bioassay system in 1956 (429). Later, a mouse thyroid bioassay system was used to show this serum factor displayed a prolonged stimulatory effect as compared to TSH and hence was termed to be a “long-acting thyroid stimulator” or LATS (430,431). Much later, the LATS factor was recognized not to be a TSH-like protein but an antibody capable of stimulating the TSH receptor that was the cause of Graves’ hyperthyroidism (432). TSH receptor antibodies (TRAb) have also become implicated in the pathogenesis of Graves’ ophthalmopathy (432-436). TRAbs are heterogeneous (polyclonal) and fall into two general classes both of which can be associated with autoimmune thyroid disorders – (a) thyroid stimulating autoantibodies (TSAb) that mimic the actions of TSH and cause Graves’ hyperthyroidism and (b), blocking antibodies (TBAb) that block TSH binding to its receptor and can cause hypothyroidism (19,20,420,427,432,437-440). TSH, TSAb and TBAb appear to bind to different sites on the TSH receptor ectoderm with similar affinities and often overlapping epitope specificities (441). In some cases of Graves’ hyperthyroidism, TBAb have been detected in association with TSAb (442,443) and the dominance of one over the other can change over time in response to treatment (444,445). Because both TSAb and TBAb can be present in the same patient, the relative concentrations and receptor binding characteristics of these two classes of TRAb can influence the severity of Graves’ hyperthyroidism and the response to antithyroid drug therapy or pregnancy (426,442,446-448). For completeness, it should also be mentioned that a third class of “neutral” TRAb has also been described, of which the functional significance has yet to be determined (432,438,448,449).

 

Two different methodologic approaches have been used to quantify TSH receptor antibodies (425,437,450,451): (a) TSH receptor antibody tests (TRAb assays) also called TSH Binding Inhibition Immunoglobulin (TBII) assays, and (b) Bioassays that use whole cells transfected with human or chimeric TSH receptors that produce a biologic response (cAMP or bioreporter gene) when TSAb or TBAb are present in a serum specimen. In recent years automated immunometric assays using recombinant human TSHR constructs have been shown to have high sensitivity for reporting positive results in Graves' disease sera (18,425). However, assay sensitivity varies among current receptor versus bioassay methods (452).

 

TSH RECEPTOR (TRAb)/TSH BINDING INHIBITORY IMMUNOGLOBULIN (TBII)

 

TRAb methods detect serum immunoglobulins that bind TSHR but do not functionally discriminate stimulating from blocking antibodies (453). TRAb methods are based on standard competitive or noncompetitive principles. The first generation of methods were liquid-based whereby immunoglobulins in the serum inhibited the binding of 125I-labeled TSH or enzyme-labeled TSH to a TSH receptor preparation (451). These methods used TSH receptors of human, guinea pig, or porcine origin (454). After 1990, a second generation of both isotopic and non-isotopic methods were developed that used and immobilized porcine or recombinant human TSH receptors (451,455). These second-generation methods were shown to have significantly more sensitivity for detecting Graves' thyroid stimulating immunoglobulins than first generation tests (425). In 2003 a third generation of non-isotopic methods were developed that were based on serum immunoglobulins competing for immobilized TSHR preparation (recombinant human or porcine TSHR) with a monoclonal antibody (M22) (420,425,451,455-457). Third generation assays have also shown a good correlation and comparable overall diagnostic sensitivity with bioassay methods (425,442,458). Current third generation TRAb tests have now been automated on several immunoassay platforms (425). However, between-method variability remains high and between assay precision is often suboptimal (CVs > 10 %) despite calibration using the same International Reference Preparation (08/204) (423,459). This fact makes it difficult to compare values using different methods and indicates that further efforts focused on additional assay improvements are needed (420,423,455).

 

Over the last ten years automated IMA methods have dramatically lowered the cost and increased the availability of TRAb testing (18,428,452). Automated TRAb IMAs are not functional tests and do not distinguish between stimulating and blocking TRAbs (455), however, this distinction is usually unnecessary, since it is evident from clinical evidence of hyper- or hypothyroid features. Also, both TSHR stimulating and blocking antibodies may be detected simultaneously in the same patient and cause diagnostic confusion (460). Because the sensitivity and specificity of current third generation TRAb tests is over 98 percent, TRAb testing can be useful for determining the etiology of hyperthyroidism (425,428), as an independent risk factor for Graves’ ophthalmopathy (435,436,440), and may be useful for monitoring responses to therapy (76,425). TRAb measured prior to radioiodine therapy for Graves' hyperthyroidism can also help predict the risk for exacerbating ophthalmopathy (433,436,461). There is conflicting data concerning the value of using TRAb to predict the response to antithyroid drug treatment or the risk of relapse (443,458,462,463). An important application of TRAb testing is to detect high TRAb concentrations in pregnant patients with a history of autoimmune thyroid disease or active or previously treated Graves’ hyperthyroidism, in whom transplacental passage of stimulating or blocking TRAb can cause neonatal hyper- or hypothyroidism, respectively (76,352,425,437,451,464-466). Because the expression of thyroid dysfunction may be different in the mother and infant, automated IMA methods have the advantage of being able to detect both stimulating and blocking antibodies (467). It is currently recommended that TRAb be measured in the first trimester in all pregnant patients with active Graves’ hyperthyroidism or who have received prior ablative (radioiodine or surgery) therapy for Graves’ disease in whom TRAb can remain high even after patients have been rendered hypothyroid and are being maintained on L-T4 replacement therapy (47,48). When TRAb is high in the first trimester additional TRAb testing is recommended at 18-22 and 30-34 weeks (47,48,76,420,442,468).

 

BIOASSAY METHODS (TSAb/TBAb)

 

The first TSH receptor assays used surgical human thyroid specimens, mouse, or guinea pig thyroid cells, or rat FRTL-5 cell lines to detect TSH receptor antibodies. These methods typically required pre-extraction of immunoglobulins from the serum specimen (429,437,439,469,470). Later, TRAb bioassays used cells with endogenously expressed or stably transfected human TSH receptors and unextracted serum specimens (471-473). Current TRAb bioassays are functional assays that use intact (typically CHO) cells transfected with human or chimeric TSH receptors, which when exposed to serum containing TSH receptor antibodies use cAMP or a reporter gene (luciferase) as a biological marker for any stimulating or blocking activity in a serum (425,451,463). Bioassays are more technically demanding than the more commonly used receptor assays because they use viable cells. However, these functional assays can be modified to detect TBAb that may coexist with TSAb in the same sera and make interpretation difficult (451). The most recent development is for second generation assays to use a chimeric human/rat LH TSHR to effectively eliminate the influence of blocking antibodies. This new approach has shown excellent sensitivity and specificity for diagnosing Graves' hyperthyroidism and clinical utility for monitoring the effects of anti-thyroid drug therapy (463).

 

Thyroid Peroxidase Autoantibodies (TPOAb)

 

TPO is a large, dimeric, membrane-associated, globular glycoprotein that is expressed on the apical surface of thyrocytes. TPO autoantibodies (TPOAb) found in sera typically have high affinities for an immunodominant region of the intact TPO molecule. When present, these autoantibodies vary in titer and IgG subclass and display complement-fixing properties (474). Studies have shown that epitope fingerprints are genetically conserved suggesting a possible functional importance (475). However, it is still unclear whether the TPOAb epitope profile correlates with the presence of, or potential for, the development of thyroid dysfunction (474-477). TPOAb antibodies were initially detected as antibodies against thyroid microsomes (antimicrosomal antibodies, AMA) using semi-quantitative complement fixation and tanned erythrocyte hemaagglutination techniques (478). Studies have identified the principal antigen in AMA tests as the thyroid peroxidase (TPO) enzyme, a 100 kD glycosylated protein present in thyroid microsomes. Manual agglutination tests have now been replaced by more specific, automated TPOAb immunoassay or immunometric assay methods that use purified or recombinant TPO (10,420,479-482). There is considerable inter-method variability of current TPOAb assays (correlation coefficients 0.65 and 0.87), despite calibration against the same International Reference Preparation (MRC 66/387) (420,479,480,482). It appears that both the methodologic principles of the test and the purity of the TPO reagent used may influence the sensitivity, specificity, and reference range of the method (420,479). The variability in sensitivity limits and the reference ranges of different methods has led to different interpretations regarding the normalcy of having a detectable TPOAb (377,420,424,482).

 

TPOAb CLINICAL SIGNIFICANCE  

 

Estimates of TPOAb prevalence depend on the sensitivity and specificity of the method employed (377,424,482). In addition, ethnic and/or geographic factors (such as iodine intake) influence the TPOAb prevalence in population studies (317). For example, TPOAb prevalence is significantly higher (~11 percent) in countries like the United States and Japan where dietary iodine is sufficient, as compared with iodine deficient areas in Europe (~ 6 percent) (254,483). The prevalence of TPOAb is higher in women of all age groups and ethnicities, presumably reflecting the higher propensity for autoimmunity as compared with men (254,483). Approximately 70-80 percent of patients with Graves' disease and virtually all patients with Hashimoto’s or post-partum thyroiditis have detected TPOAb (479,484).  TPOAb has, in fact, been implicated as a cytotoxic agent in the destructive thyroiditic process (477,485,486).

 

TPOAb prevalence is also significantly higher in various non-thyroidal autoimmune disorders in which no apparent thyroid dysfunction is evident (487). Aging is associated with an increasing prevalence of TPOAb that parallels the increasing prevalence of both subclinical and clinical hypothyroidism (254). In fact, the NHANES III survey reported that TPOAb prevalence increases with age and approaches 15-20 percent in elderly females even in the iodine-sufficient United States (254). This same study found that the odds ratio for hypothyroidism was strongly associated with the presence of TPOAb but not TgAb, suggesting that primarily TPOAb contribute to the autoimmune etiology of hypothyroidism (254). Although the presence of TgAb alone did not appear to be associated with hypothyroidism or TSH elevations, the combination of TPOAb and TgAb versus TPOAb alone may be more pathologically significant (Figure 9), however further studies would be needed to confirm this (254,307,477). It is now apparent that the presence of TPOAb in apparently euthyroid individuals (TSH within reference range) appears to be a risk factor for future development of overt hypothyroidism that subsequently becomes evident at the rate of approximately two percent per year in such populations (474,488,489). Furthermore, TPO-positivity in pregnant women is a risk factor for preterm birth (490).

 

Figure 9. Prevalence of thyroid antibodies in women (A) and men (B). Abscissa TSH values correspond to the upper and lower limits of the intervals spanning each set of bars. Asterisks denote a significant difference in prevalence from the TSH range with lowest antibody prevalence, 0.1 and 1.5 mIU/liter for women and 0.1 and 2.0 mIU/liter for men from reference 307.

TPOAb measurement can serve as a useful prognostic indicator for future thyroid dysfunction (489,491). However, a hypoechoic ultrasound pattern can often be seen before the biochemical TPOAb abnormality appears (492). Further, some individuals with unequivocal TSH elevations, presumably resulting from autoimmune destructive disease of the thyroid, do not have TPOAb detected (307). Presumably, this paradoxical absence of TPOAb in some patients with elevated TSH likely reflects the suboptimal sensitivity and/or specificity of current TPOAb tests or a non-autoimmune cause of thyroid failure (i.e. atrophic thyroiditis) (254,307,482,493).

 

Although changes in autoantibody concentrations often occur with treatment, or reflect a change in disease activity, serial TPOAb measurements are not recommended for monitoring treatment for autoimmune thyroid diseases (49,479,494). This is not surprising since treatment of these disorders addresses the consequence (thyroid dysfunction) and not the cause (autoimmunity) of the disease. However, where it may have an important clinical application is to use the presence of serum TPOAb as a risk factor for developing thyroid dysfunction in patients receiving amiodarone, interferon-alpha, interleukin-2, or lithium therapies which all appear to act as triggers for initiating autoimmune thyroid dysfunction in susceptible (especially TPOAb-positive) individuals (10,110,495-500).

 

During pregnancy the presence of TPOAb has been linked to reproductive complications such as miscarriage, infertility, IVF failure, fetal death, pre-eclampsia, pre-term delivery, post-partum thyroiditis, and depression (47,76,484,501-508). However, whether this association represents cause or effect remains unresolved.

 

Thyroglobulin Autoantibodies (TgAb)

 

Thyroglobulin autoantibodies belong predominantly to the immunoglobulin G (IgG) class, are not complement fixing and are generally conformational (509). Tg autoantibodies were the first thyroid antibody to be detected in the serum of patients with autoimmune thyroid disorders using tanned red cell hemagglutination techniques (478). Subsequently, methodologies for detecting TgAb have evolved in parallel with those for TPOAb measurement, from semi-quantitative techniques to more sensitive ELISA and RIA methods and now to non-isotopic competitive or non-competitive immunoassays (45,420,482,510,511). Unfortunately, the between-method variability of TgAb assays is even greater than that of the TPOAb tests (Figure 10) (45,420,510-512). Additionally, high levels of thyroglobulin in the serum have the potential to influence TgAb measurements (511). Between-method variability is influenced by the purity and the epitope specificity of the Tg reagent, as well as the patient-specific epitope specificity of the TgAb secreted (513). As with TPOAb methods, TgAb tests have highly variable sensitivity limits and manufacturer-recommended cut-off values for "positivity", despite the use of the same International Reference Preparation (MRC 65/93) (Figure 10) (45,510-512,514). Whereas the FS limit is the recommended cutoff to define TgAb-positivity for DTC monitoring, the FS is typically much lower than the manufacturer-recommended cut-off for “positivity” (Figure 10) (10,45). This is because manufacturer-recommended cutoffs (MCO) are set for diagnosing thyroid autoimmunity and are too high to detect the low TgAb levels that can interfere with Tg measurements (515,516). Although there are reports that low levels of TgAb may be present in normal euthyroid individuals, it is unclear whether this represents assay noise due to matrix effects or "natural" antibodies (21). Further complicating this question are studies suggesting that there may be qualitative differences in TgAb epitope specificities expressed by normal individuals versus patients with either differentiated thyroid cancers (DTC) or autoimmune thyroid disorders (517). These differences in test sensitivity and specificity negatively impact the reliability of determining the TgAb status (positive versus negative) of specimens prior to Tg testing of DTC patients.

Figure 10. TgAb Measurements Made by Different Methods. Figure shows the relative TgAb concentrations reported for 143 DTC patient sera with evidence of TgAb interference with serum Tg measurements. Each serum was measured by four different methods each with a different manufacturer-recommended cutoff value for “TgAb positivity” (open bars) and with different experimentally determined (10) functional sensitivity limits (closed bars). From reference 45.

CLINICAL UTILITY OF TgAb TESTING

 

Tg autoantibodies (TgAb) are encountered in autoimmune thyroid conditions, usually in association with TPOAb (254,489,490). However, the NHANES III survey found that only three percent of subjects with no risk factors for thyroid disease had serum TgAb present without detectable TPOAb (Figure 9) (254,307). Furthermore, there was no association between the isolated presence of TgAb and TSH abnormalities in these subjects (254,307). This suggests that it is unnecessary to measure both TPOAb and TgAb for a routine evaluation for thyroid autoimmunity (307,420,489). However, when autoimmune thyroid disease is present, there is some evidence that assessing the combination of TPOAb and TgAb has greater diagnostic utility than the TPOAb measurement alone (Figure 9) (307,489,490,518). In pregnant women, both TPOAb and TgAb-positivity have been shown to be risk factors for preterm birth (490).

 

The role of TgAb for monitoring patients with DTC is two-fold: 1) to authenticate that a Tg measurement is not compromised by TgAb interference, and 2) as an independent surrogate tumor-marker (519,520). Immunoassay methods detect TgAb in approximately 25 percent of patients presenting with DTC, double the TgAb prevalence of the general population (45,254,521,522). In patients with thyroid nodules the presence of TgAb is a risk factor for lymph node metastases (520,523,524) and may be a useful marker for papillary thyroid cancer in cases of indeterminate cytology (523,525,526). The prevalence of TgAb is typically higher in patients with papillary versus follicular tumors (22,510,519,527-529). After TgAb-positive patients are rendered disease-free by surgery, TgAb concentrations typically progressively decline during the first few post-operative years and typically become undetectable after a median of three years of follow-up (22,530,531). In contrast, a rise in, or de novo appearance of, TgAb is often the first indication of tumor recurrence (14,22,531,532). In patients with persistent disease, serially determined TgAb concentrations may serve as an independent surrogate tumor marker for changes in tumor mass (Figure 11) (14,17,22,520,530,531,533-536). However, the use of the TgAb trend as a surrogate tumor marker necessitates that TgAb be measured by the same method in preferably the same laboratory, because of the large differences in the sensitivities and cut off values for “positivity” between different methods (Figure 10) (9,45,511,512,514,519,521).

 

THYROGLOBULIN (Tg)

 

Thyroglobulin plays a central role in a variety of pathophysiologic thyroid conditions, including acting as an autoantigen for thyroid autoimmunity (421,509,537). Serum Tg levels can serve as a marker for iodine status of a population (538-540) and genetic defects in Tg biosynthesis causing dyshormonogenesis can result in congenital hypothyroidism (10,541,542). Because Tg has a thyroid-tissue specific origin, a serum Tg measurement can be used to investigate the etiology of congenital hypothyroidism (athyreosis versus dyshormonogenesis) (543,544). Likewise, a paradoxically low serum Tg can be used to distinguish factitious hyperthyroidism from the high Tg expected with endogenous hyperthyroidism (14,545-547). However, the primary clinical use of Tg measurement is as a post-operative tumor-marker test used to monitor patients with follicular-derived (differentiated) thyroid cancer (DTC) (14,17,57,271,274,548-550).

 

Most Tg testing is currently by rapid, automated immunometric assays (IMA), most of which now have second generation functional sensitivity (FS≤ 0.1 µg/L) - a sensitivity level that obviates the need for recombinant human TSH (rhTSH) stimulation (57,274,551-554). TgAb interference, causes falsely low/undetectable serum Tg IMA tests and this is the major limitation of using IMA methodology since this direction of interference can mask disease (14,17,23,512,521,555,556). Currently, most laboratories first establish the TgAb status of the specimen (negative or positive) and restrict Tg-IMA testing to TgAb-negative sera, while reflexing TgAb-positive specimens to other methodologies believed less prone to TgAb interference from TgAb - RIA (14,274,512,521) or LC-MS/MS (14,24,43,555,557,558).

 

Technical Limitations of Tg Methods

 

Thyroglobulin measurement remains technically challenging. Five methodologic problems impair the clinical utility of this test: (a) suboptimal functional sensitivity; (b) between-method biases; (c) "hook" problems (some IMA methods) and interferences caused by (e) Heterophile antibodies (HAb) and/or (f) Tg autoantibodies (TgAb).

 

Tg ASSAY SENSITIVITY  

 

As with TSH, assay functional sensitivity (FS) represents the lowest analyte concentration that can be measured in human serum with 20 percent CV, calculated from runs made over a clinically relevant timespan (6 -12 months for Tg) and using at least two different lots of reagents (10). These stipulations are necessary because assay precision erodes over time, especially during the long clinical interval (6-12 month) typically used when monitoring Tg as a tumor marker for DTC, during which time assay reagents and conditions can change (9,71,559). The use of FS as the assay sensitivity limit is more relevant than either a limit of detection (LOD) or limit of quantitation (LOQ) calculation - parameters that do not stipulate using a clinically relevant time span for assessing precision (10,560). The FS protocol (10) also stipulates that precision be determined in human sera rather than a commercial QC preparation, because instruments and methods are matrix-sensitive (72,560). Tg IMA methods should have precision determined in TgAb-negative human sera (560) and TgAb-positive human serum pools should be used to determine the precision of Tg methodologies used to measure TgAb-positive specimens - most commonly RIA or LC-MS/MS.

 

In accord with TSH a generational approach to Tg assay nomenclature has been adopted (1,17). Early Tg RIAs (5) had FS approximating 1 μg/L and were designated "first generation" assays. Currently, some RIAs, IMAs and LC-MS/MS methods still only have first generation functional sensitivity (FS = 0.5-1.0 µg/L) (17,271,274,512,561,562). However, in recent years 2nd generation assays (FS 0.05-0.10 µg/L) have become the standard of care (57,271,274,549,550,561,563). These second-generation tests obviate the need for recombinant human TSH (rhTSH) stimulation, because basal Tg correlates with rhTSH-stimulated Tg (17,57,561). However, the use of a second-generation assay does not eliminate the need for periodic ultrasound examinations, because many histologically confirmed lymph nodes metastases may not secrete enough Tg to be detected (14,563,564).

 

SERUM Tg REFERENCE RANGES

 

The adult serum Tg reference range approximates 2-40 µg/L (10,565). Newborn infants have a higher serum Tg that falls to the adult range after two years of age (566). However, most Tg testing is made following surgery (thyroidectomy or lobectomy) for DTC, the Tg reference range is only relevant in the preoperative period (567-570). Different Tg methods may report two-fold differences in numeric values for the same serum specimen (14,274,571). This between-method variability reflects differences in assay standardization as well as the assay specificity for detecting different Tg isoforms in the serum (512,572-576). When evaluating a thyroidectomized patient, the assay reference range should be adjusted for thyroid mass (thyroidectomy versus lobectomy) as well as the TSH status of the patient (10,570).

 

BETWEEN METHOD Tg BIASES

 

Thyroglobulin in frozen sera is remarkably stable. The between-run precision for repetitive serum Tg measurements made over 6-12 months (the typical DTC monitoring interval), approximates 10 percent. In contrast, between-method variability can exceed 30 percent (14,274,516,571) despite CRM-457 standardization (584,585). In fact, in some cases different methods can report more than a two-fold difference in Tg for the same serum specimen (14,274,571). This between-method variability significantly exceeds the biologic variability of Tg in normal euthyroid subjects (~16 %) (559,577).  This between-method variability reflects matrix differences between methods as well as specificity differences for detecting different Tg isoforms in the serum (45,512,572-574,576).

 

Some Tg should be detected in all TgAb-negative normal euthyroid subjects when using a second-generation IMA method standardized against the International Reference Preparation CRM-457. Although the intra-individual serum Tg variability is relatively narrow (CV ~15 %) (577), the Tg population reference range is quite broad (2-40 µg/L) (512,565,575,578). It follows that 1 gram of normal thyroid tissue gives rise to ~1.0 µg/L Tg in the circulation, unless TSH is elevated (10,579). Following a lobectomy, euthyroid patients should be evaluated using a mass-adjusted reference range (1.5 - 20 µg/L). The range should be lowered a further 50 percent (0.75 - 10 µg/L) during TSH-suppression (10,570). After thyroidectomy, the typical 1-to-2-gram thyroid remnant (580) would be expected to produce a serum Tg below 2 µg/L (at low-normal TSH) (581,582). By this same reasoning, truly athyreotic patients would be expected to have no Tg detected irrespective of their TSH status (10). However, a rising Tg trend after lobectomy in the absence of recurrent disease is not unexpected due to a compensatory increase in normal remnant tissue (583).

 

Since TgAb interferes with different methods to differing extents (14,45,586), a false negative TgAb test could also lead to significant between-method differences with the potential to disrupt serial Tg monitoring and negatively impact clinical management (516). Between method variability is the reason current guidelines stress the necessity of using the same Tg method (and preferably the same laboratory) for monitoring Tg trends and the need to re-baseline the Tg level if a change in method becomes necessary (57,587).

Figure 11. Between-Method Serum Tg Variability in DTC Patients +/- TgAb. Serum Tg measured by different methodologies in patients with distant metastatic DTC who were either TgAb-negative (panel A) or TgAb-positive (panel B). Three Tg methodologies were compared: IMA, LC-MS/MS (MS-M = Mayo; MS-Q = Quest), and RIA. Tg measurements below the assay FS limit are indicated in the shaded areas and expressed as a percentage relative to the total number of tests performed with that method. Patients who died of DTC-related complications are shown by solid symbols. From reference 14.

HIGH-DOSE HOOK EFFECT

 

Tumor marker tests employing IMA methodology can be prone to so-called "high-dose hook effects", whereby very high antigen concentrations can overwhelm the binding capacity of the monoclonal antibody reagents leading to a falsely normal/low value (9,588-591). Manufacturers have largely overcome hook problems by adopting a two-step procedure, whereby a wash step is used to remove unbound antigen after the first incubation of specimen with the capture monoclonal antibody before introducing the labeled monoclonal during which the signal binds the captured antigen during a second incubation (580). When using IMA methodology, it is the laboratory’s responsibility to determine whether a hook effect is likely to generate falsely normal or low values.

 

There are two approaches for detecting and overcoming hook effects with Tg IMA methods when an unexpectedly low serum Tg value is encountered for a patient with known metastatic disease: 1) Measure the Tg in the specimen at two dilutions. For example, a hook effect is likely present when the value of the test serum measured at a 1/5 or 1/10 dilution is higher than that obtained with the undiluted specimen. 2) Assess the recovery of added Tg antigen. If a hook effect is present, the Tg result will be inappropriately low.

 

INTERFERENCES WITH Tg MEASUREMENT    

 

Heterophile Antibody (HAb) Interferences

 

HAb interferes with Tg IMAs, but not RIA or Tg-LC-MS/MS methodologies (43, 214, 221, 223, 228, 592-595). HAb interferences are thought to reflect the binding of HAb to the monoclonal antibody IMA reagents (murine origin).  RIA methods are not prone to HAb interference because their polyclonal antibody reagents (rabbit origin) do not bind human IgG. In most cases HAb interferences are characterized by a false-positive Tg-IMA result (223,228,592), although falsely low Tg IMA results have also been reported (214,596). Recent reports find that Tg LC-MS/MS methodology appears free from HAb interferences (43,595). A presumptive test for HAb interference is a lowering of the analyte value in the presence of a blocking agent (43,201,597). The laboratory cannot proactively test for HAb because specimens are typically sent to the laboratory without clinical information. Physicians should request the laboratory test for HAb interference when an apparently disease-free patient has an unexpectedly high Tg result.

 

Tg Autoantibody (TgAb) Interference

 

TgAb interference with Tg measurement remains the major limitation for using Tg as a DTC tumor marker. TgAb has the potential to interfere with Tg measured by each of the current methodologies: IMA, RIA and LC-MS/MS. The prevalence of TgAb in DTC patients approximates 25 percent - twice that of the general population (9,254,522). There appears to be no threshold TgAb concentration that precludes TgAb interference (45,57,386,510,512,521). TgAb is thought to interfere by both in vitro (epitope masking) (45,512,521,598) and/or in vivo mechanisms such as enhanced TgAb-mediated Tg clearance (599-603). High TgAb concentrations do not necessarily interfere, whereas low TgAb may profoundly interfere (9,22,45,521,555,598,604,605). Unfortunately, the recovery approach appears to be unreliable for detecting TgAb interference (512,521,598).

 

TgAb Interference - In-Vivo Mechanisms. Studies over past decades have suggested that the presence of TgAb enhances Tg metabolic clearance. In 1967 Weigle showed enhanced clearance of endogenously I25-labeled Tg in rabbits, after inducing TgAb by immunizing the animals with an immunogenic Tg preparation (599,603). In humans, Tg and TgAb acute responses to sub-total thyroidectomy have also suggested that TgAb may increase Tg metabolic clearance (603,606). Changes (a rise or fall) in TgAb versus Tg-RIA concentrations have typically been concordant and appropriate for clinical status, whereas the direction of change in Tg-IMA is typically discordant with Tg-RIA and clinical status (45,274,521,556). In general, the change in TgAb concentrations tends to be steeper than for Tg-RIA (521), as would be consistent with TgAb-mediated Tg clearance, perhaps because some TgAbs act as "sweeper" antibodies that facilitate clearance of antigen (602,603,607).

 

TgAb Interference - In-Vitro Mechanisms. TgAb interferes with Tg measurement in a qualitative, quantitative, and method-dependent manner (22,45,521,608,609). The potential for in vitro interference is multifactorial and depends not only on the assay methodology (IMA, RIA or LC-MS/MS) (39), but also the concentration and epitope specificity of the TgAb secreted by the patient (22,512,610). RIA methodology appears to quantify total Tg (free Tg + TgAb-bound Tg) whereas IMA primarily detects only the free Tg moiety, i.e. Tg molecules with epitopes not masked by TgAb complexing. Steric masking of Tg epitopes is the reason why TgAb interference with IMA methodology is always unidirectional (underestimation) and why a low Tg-IMA/Tg-RIA ratio has been used to indicate TgAb interference (45,521,555,611,612). The recently developed Tg-LC-MS/MS methodology uses trypsin digestion of Tg-TgAb complexes to liberate a proteotypic Tg peptide. This conceptually attractive approach was primarily developed to overcome TgAb interference with IMA methods thereby eliminating falsely low/undetectable Tg-IMA results that can mask disease. However, recent studies report that a high percentage (>40 %) of TgAb-positive DTC patients with structural disease have paradoxically undetectable Tg-LC-MS/MS tests (14,24,43,555,557,558). More studies are needed to determine why LC-MS/MS fails to detect Tg in TgAb-positive DTC patients with disease. Possibilities to investigate include tumor Tg polymorphisms that prevent the production of the Tg-specific tryptic peptide (38), suboptimal trypsinization of Tg-TgAb complexes, or Tg levels that are truly below detection because of increased clearance of Tg-TgAb complexes by the hepatic asialoglycoprotein receptor (599-602).

 

TgAb interference with Tg-RIA Methodology. Radioimmunoassay (RIA) was the earliest methodology used to measure Tg (5). Thyroglobulin antigen (from serum or added 125I-Tg tracer) competes for a low concentration of polyclonal (PAb) (usually rabbit) Tg antibody. After incubation, the Tg-PAb complex is precipitated by an anti-rabbit second antibody and the serum Tg concentration is quantified from the 125I-Tg in the precipitate. The first Tg-RIAs developed in the 1970s were insensitive (~2 µg/L) (5,613). Over subsequent decades some Tg-RIAs have achieved first generation functional sensitivity (FS = 0.5 µg/L) by using a long (48-hour) pre-incubation before adding a high specific activity 125I-Tg tracer (614,615). The use of a high affinity polyclonal antibody (616) coupled with a species-specific second antibody appears to minimize TgAb interference. Resistance to TgAb interference is evidenced by appropriately normal Tg-RIA values for TgAb-positive euthyroid controls (512) and detectable Tg-RIA in TgAb-positive DTC patients with structural disease (14,555). The clinical performance of this Tg-RIA contrasts with IMA methods that fail to detect Tg in some TgAb-positive normal euthyroid subjects (512), some TgAb-positive Graves' hyperthyroid patients (14,617), or TgAb-positive patients with structural disease (14,512,618). It should be noted that the propensity of TgAb to interfere with Tg-RIA determinations and cause under- or overestimation (546,608) depends on the patient-specific interactions between Tg and TgAb in the specimen and the RIA reagents (609).

 

TgAb interference with Tg-IMA Methodology. Most Tg testing is currently made by automated IMAs, whereby antigen is captured by two monoclonal antibodies (MAb) that target different epitopes on the Tg protein (619). TgAb interferes with IMA methodology by steric inhibition – i.e. by blocking the epitope(s) necessary for Tg to bind the MAb(s), so that the MAb-Tg-MAb reaction cannot take place and Tg is reported as falsely low or undetectable. This mechanism of epitope masking is supported by timed recovery studies. Clinically, TgAb interference is evident from the paradoxically low/undetectable Tg-IMA seen for TgAb-positive normal controls (512), patients with Graves' hyperthyroidism (14,617), and DTC patients with active disease (Figures 10 and 11) (14,43,555). High Tg concentrations can overwhelm the TgAb binding capacity rendering Tg-IMA concentrations detectable and lessening the degree of interference (45,555). It follows that as Tg concentrations rise, more Tg is free, the influence of TgAb lessens and the discordance between Tg-IMA and Tg-RIA lessens (Figure 11B) (45,555). Although some IMA methods have claimed to overcome TgAb interference by using monoclonal antibodies directed against specific epitopes not involved in thyroid autoimmunity (580), this approach has not overcome TgAb interferences in clinical practice, possibly because less restricted TgAb epitopes are associated with thyroid carcinomas than with autoimmune thyroid conditions (510,517,620).

 

TgAb Interference with Tg LC-MS/MS. Liquid Chromatography, Tandem Mass Spectrometry (LC-MS/MS) is the newest methodology used to measure Tg. This methodology measures Tg by trypsinizing the Tg-TgAb complexes in the serum to generate a Tg-specific peptide(s) that can be measured by LC-MS/MS (37-39,41,580,621). Most Tg LC-MS/MS methods only have first generation functional sensitivity (FS ~ 0.5 µg/L) (24,39,40) although more sensitive methods are being developed (621). Tg-LC-MS/MS methodology has been shown free from HAb interferences (43,595) and has been promoted as being free from TgAb interference (24,39,40). However, these claims are not supported by clinical studies in which paradoxically undetectable LC-MS/MS Tg tests are seen for many TgAb-positive DTC patients with structural disease (14,24,43,555,557,558). The higher the TgAb, the more likely that no Tg would be detected by LC-MS/MS in patients with disease (558).  It currently appears that when TgAb is present LC-MS/MS methodology offers no diagnostic advantage over IMA.

 

Clinical Utility of TGAb Used as a Surrogate DTC Tumor Marker   

 

The serum TgAb trend has become recognized as a postoperative surrogate DTC tumor-marker. A declining TgAb trend is a good prognostic sign, whereas a stable or rising TgAb may indicate persistent/recurrent disease (23,57,509,519,521,530,531,533,536,612,622-624). The TgAb half-life in blood approximates 10 weeks (522). Following successful surgery (± radioiodine treatment), TgAb typically falls more than 50 percent in first post-operative year and often decreases to <10 percent after 3-4 years eventually becoming undetectable with reduced stimulation of the immune system by lower Tg antigen levels (45,57,274,522,524,530,531,625). The time needed for a TgAb-positive patient to become TgAb-negative in response to successful treatment is inversely related the initial TgAb concentration, perhaps representing the long-lived memory of plasma cells (274,626). Patients exhibiting a TgAb decline of more than 50 percent by the end of the first post-operative year have been shown to have a low recurrence risk (515,531,534,612,627). However, a significant percentage (~5 %) of TgAb-negative patients may develop transient de novo TgAb-positivity in the early post-operative period, presumably in response to Tg antigen released by surgical trauma (532,628,629). A rise in TgAb can also be seen soon after fine needle aspiration (FNA) biopsy (630-632) or more chronically (months) in response to radiolytic damage following radioiodine treatment (22,633,634). However, the 5 percent of DTC patients that display a sustained de novo TgAb appearance are likely to have recurrent disease (Figure 11B) (532,635). These TgAb-negative to TgAb-positive conversions are the reason why guidelines mandate that TgAb be measured with every Tg test (23,57,635). Patients with persistent disease may exhibit only a marginal TgAb decline or have stable, rising or a de novo TgAb appearance (511,521,531-533,612,622). If serum Tg remains detectable after TgAb becomes negative (~3 % of cases), the risk for disease remains (Figure 11A). Since TgAb tests differ in sensitivity and specificity (Figure 10) (23,45,513,514,636) it is essential to measure the serum TgAb trend by the same method, preferably in the same laboratory (23,45,57,482,511,512,514,535,636).

 

Serum Tg Monitoring of Patients with DTC

 

Over the past decade, the incidence of DTC has substantially risen with the detection of small thyroid nodules and micropapillary cancers by ultrasound and other anatomic imaging modalities (57,637-640). Although most DTC patients are rendered disease-free by their initial surgery, approximately 15 percent of patients experience recurrences and approximately 5 percent die from disease-related complications (580,641-644). A risk-stratified approach to diagnosis and treatment is now recommended by current guidelines (57).

 

In most cases, persistent/recurrent disease is detected within the first five post-operative years, although recurrences can occur decades after initial surgery necessitating life-long monitoring for recurrence (642,643). Since most patients have a low pre-test probability for disease, protocols for follow-up need a high negative predictive value (NPV) to eliminate unnecessary testing, as well as a high positive predictive value (PPV) for identifying patients with persistent/recurrent disease. Because Tg testing is generally recognized as being more sensitive for detecting disease than diagnostic 131I whole body scanning (645), biochemical testing (serum Tg. + TgAb) is used in conjunction with periodic ultrasound (57,645). The persistent technical limitations of Tg and TgAb measurements necessitate close physician-laboratory cooperation.  

 

The majority (~75 %) of DTC patients have no Tg antibodies detected (521). In the absence of TgAb, four factors influence the interpretation of serum Tg concentrations: (1) the mass of thyroid tissue present (normal tissue + tumor); (2) The intrinsic ability of the tumor to secrete Tg; (3) the presence of any inflammation of, or injury to, thyroid tissue following fine needle aspiration biopsy, surgery, RAI therapy, or thyroiditis; and (4) the degree of TSH receptor stimulation by TSH, hCG, or TSAb (10). The presence of TgAb necessitates a shift in focus from monitoring serum Tg as the primary tumor-marker, to monitoring the serum TgAb trend as a surrogate tumor-marker (519).

Figure 12. TgAb Effects on Serial Tg IMA and Tg RIA Measurements. Serial TgAb, Tg-RIA and Tg-IMA measurements made in two DTC patients who underwent a change in TgAb status (panel A, positive to negative) or (panel B negative to positive) before death from structural DTC. These cases illustrate why a Tg measurement cannot be interpreted without knowing the TgAb status of the patient (57). The de novo appearance of TgAb (Patient B) either reflects a change in tumor-derived Tg heterogeneity (secretion of a more immunogenic Tg molecule), or recognition of tumor-derived Tg by the immune system. In contrast, TgAb can become undetectable despite the exacerbation of disease (Patient A).

Figure 13. TgAb Trends in Response to Treatment. Typical trends in TgAb following thyroidectomy in patients rendered disease-free by thyroidectomy (pattern A) versus patents with persistent/recurrent disease (pattern B). TgAb levels may rise or become detectable de novo in response to an increase in Tg antigen following surgical injury, lymph node recurrence(s), lymph node resection(s), FNA biopsy of metastatic lymph nodes or radioiodine therapy.

PRE-OPERATIVE Tg MEASUREMENT

 

An elevated Tg is merely a non-specific indicator of thyroid pathology and cannot be used to diagnose malignancy (568). However, studies have reported that a Tg elevation detected decades before a DTC diagnosis, is a risk factor for thyroid malignancy (567-569,646-648). This suggests that most thyroid cancers secrete Tg protein to an equal or greater degree than normal thyroid tissue, underscoring the importance of using Tg as a DTC tumor marker. Approximately 50 percent of DTC patients have an elevated preoperative serum Tg the highest being seen in follicular > oncocytic (formerly “Hurthle cell cancer”) > papillary thyroid carcinoma (567-569). Up to one-third of tumors may be poor Tg secretors relative to tumor mass, especially BRAF-positive tumors that are associated with reduced expression of Tg protein (649). Although current guidelines do not recommend routine pre-operative serum Tg measurement (57,549,650), some believe that a preoperative serum Tg (drawn before or more than two weeks after FNA) can provide information regarding the tumor’s intrinsic ability to secrete Tg and thus aid with the interpretation of postoperative Tg changes (567-569,648,650). For example, knowing that a tumor is an inefficient Tg secretor could prompt a physician to focus more on anatomic imaging and less on postoperative Tg monitoring (649,651,652).

 

POST-OPERATIVE Tg MEASUREMENT

 

Because TSH exerts such a strong influence on serum Tg concentrations it is important to promptly initiate thyroid hormone therapy after surgery to establish a stable post-operative Tg baseline to begin biochemical monitoring. When surgery is followed by RAI treatment it may take time (months) to establish a stable Tg baseline because the Tg rises in response to TSH-stimulation and may be augmented by Tg release from radiolytic damage of the thyroid remnant. Short-term rhTSH stimulation is expected to produce an approximate 10-fold serum Tg elevation (561), whereas chronic endogenous TSH stimulation following thyroid hormone withdrawal results in an approximate 20-fold serum Tg rise (653). Serum Tg measurements performed as early as 6 to 8 weeks after thyroidectomy have been shown to have prognostic value - the higher the serum Tg the greater the risk of persistent/recurrent disease (526, 654, 655). Since the half-life of Tg in the circulation approximates 3 days (656), the acute Tg release resulting from the surgical trauma and healing of surgical margins should largely resolve within the first six months, provided that post-operative thyroid hormone therapy prevents TSH from rising. Patients who receive RAI for remnant ablation may exhibit a slow Tg decline over subsequent years, presumably reflecting the long-term radiolytic destruction of remnant tissue (657,658).

 

The Tg secretion expected from the ~1 gram of normal remnant tissue left after thyroidectomy (580) is expected to produce a serum Tg concentration ~1.0 µg/L, provided TSH is not elevated (10). A recent study found that in the first six months following thyroidectomy (without RAI treatment) disease-free PTC patients had a serum Tg nadir < 0.5 µg/L when TSH was maintained below 0.5 mIU/L (274,581,582). This is consistent with earlier studies using receiver operator curve (ROC) analysis that found a 6-week serum Tg of <1.0 µg/L, when measured during TSH suppression, had a 98 percent negative predictive value (NPV) for disease (although positive predictive value (PPV) was only 43 percent) (654).

 

LONG-TERM Tg MONITORING (WITHOUT TSH STIMULATION)

 

The higher the post-operative serum Tg measured without TSH stimulation, the greater the risk for persistent/recurrent disease (654). If a stable TSH is maintained (≤0.5 mIU/L) (274,582) changes in serum Tg will reflect changes in tumor mass. Under these conditions a rising Tg would be suspicious for tumor recurrence whereas declining Tg levels suggests the absence or regression of disease. When using a sensitive Tg-IMA method, the trend in serum Tg (measured without TSH stimulation) is a more reliable indicator of disease status than using a fixed Tg cutoff value for disease (57,274,548,562,587,654,659-661). It is the degree of Tg elevation, not merely a "detectable" Tg that is the risk factor for disease, since Tg “detectability” varies according to the method used (563,575,578,582). As with other tumor-markers, such as calcitonin, the Tg doubling time (measured without TSH stimulation) is a useful prognostic marker that has an inverse relationship to mortality (252,581,660,662-666).  However, between-method variability necessitates that the serum Tg trend be established using the same method, and preferably the same laboratory (Figure 11) (57,587). One approach used to mitigate between-run imprecision and improve the reliability of assessing the Tg trend has been to measure the current specimen concurrently (in the same run) with the patient’s previous archived specimen, thereby eliminating run-to-run variability and increasing the confidence to detect small Tg changes (9,10,587).

 

SERUM Tg RESPONSES TO TSH STIMULATION

 

The degree of tumor differentiation determines the presence and density of TSH receptors that in large part determines the magnitude of the serum Tg response to TSH stimulation (667,668). The serum Tg rise in response to endogenous TSH (thyroid hormone withdrawal) is twice that seen with short-term rhTSH stimulation (~20-fold versus ~10-fold, respectively) (386,653,669). Recombinant human TSH (rhTSH) administration was adopted as a standardized approach for stimulating serum Tg into the measurable range of the insensitive first-generation tests (386,549,561,653,669,670). A rhTSH-stimulated serum Tg cut-off of ≥2.0 µg/L, measured 72 hours after the second dose of rhTSH, was found to be a risk factor for disease (653,669). A "positive" rhTSH response had a higher NPV (>95 percent) than the basal Tg measured by an insensitive first-generation test, (553,564,654,671). However, a negative rhTSH test did not guarantee the absence of tumor (653,671). Furthermore, the reliability of adopting a fixed numeric rhTSH-Tg cut-off value for a positive response is problematic, given that different methods can report different numeric Tg values for the same specimen (Figure 11) (14, 512, 575). Other variables include differences in the dose of rhTSH delivered relative to absorption from the injection site as well as the surface area and age of the patient (672,673). One critical variable is the TSH sensitivity of tumor tissues, with poorly differentiated tumors having blunted TSH-mediated Tg responses (649,651,652,668). When using a sensitive second-generation Tg-IMA, an undetectable basal Tg (<0.10 µg/L) had a comparable NPV to rhTSH stimulation and was rarely associated with a "positive" rhTSH-stimulated response (>2.0 µg/L) (561, 563, 575, 674, 675). This would be expected given the strong relationship between basal Tg and rhTSH-stimulated Tg values (553,561,578,676). Once sensitive Tg-IMA methods had become the standard of care, it became apparent that rhTSH-stimulation provided no additional information over and above a basal Tg measured by second generation assay (57, 553, 561, 563, 575, 578, 674-676).

 

One potential use of rhTSH-stimulated Tg would be to test for HAb interferences. Specifically, when a Tg-IMA value appears clinically inappropriate (usually high), an absent rhTSH-stimulated Tg response would suggest interference that could be confirmed by a blocker tube test (561). An alternative reason for an absent/blunted rhTSH-stimulated response would be the presence of TgAb (578), with TgAb-enhanced clearance of Tg-TgAb complexes (599,602,606).

 

Tg MEASUREMENT IN FNA NEEDLE WASHOUTS (FNA-Tg)

 

Because the Tg protein is tissue-specific, the detection of Tg in non-thyroidal tissues or fluids (such as pleural fluid) indicates the presence of metastatic thyroid cancer (677). Struma ovarii is the only (rare) condition in which the Tg in the circulation does not originate from the thyroid (678,679). Cystic thyroid nodules are commonly encountered in clinical practice, the large majority arising from follicular epithelium and the minority from parathyroid epithelium. A high concentration of Tg or parathyroid hormone (PTH) measured in the cyst fluid provides a reliable indicator of the tissue origin of the cyst (thyroid versus parathyroid, respectively), information critical for surgical decision-making (677,680). Lymph node metastases are found in up to 50 percent of patients with papillary cancers but only 20 percent of follicular cancers (681,682). High-resolution ultrasound has now become an important component of postoperative surveillance for recurrence (57,386,669). Although ultrasound characteristics are helpful for distinguishing benign reactive lymph nodes from those suspicious for malignancy, the finding of Tg in the needle washout of a lymph node biopsy has higher diagnostic accuracy than the ultrasound appearance (632,683-691). An FNA needle washout is now widely accepted as a useful adjunctive test that improves the diagnostic sensitivity of a cytological evaluation of a suspicious lymph node or thyroid mass, even in the presence of TgAb (683-687). The current protocol for obtaining FNA-Tg samples recommends rinsing the biopsy needle in 1.0 mL of saline and sending this specimen to the laboratory for Tg analysis. In thyroidectomized patients a common cutoff value for a "positive" FNA-Tg result is 1.0 µg/L, however this cutoff can vary by method and institution (685,686,690-692). For investigations of suspicious lymph nodes in patients with an intact thyroid, a higher FNA-Tg cutoff value (~35-40 µg/L) is recommended (683). There is still controversy whether TgAb interferes with FNA-Tg analyses (528,684). It should be noted that when the serum TgAb concentration is high there can be TgAb contamination of the FNA wash fluid. Although a ~40-fold dilution of TgAb in the wash fluid would be expected, this could still be insufficient to lower TgAb below detection and eliminate the possibility of TgAb interference with the FNA-Tg IMA test producing a falsely low result. The FNA needle wash-out procedure can also be used to detect calcitonin in neck masses of patients with primary and metastatic medullary thyroid cancer (680,693,694). In addition, FNA-PTH determinations may be useful for identifying lymph nodes arising from parathyroid tissue (680).

 

THYROID SPECIFIC mRNAs USED AS THYROID TUMOR MARKERS

 

Reverse transcription-polymerase chain reaction (RT-PCR) has been used to detect thyroid-specific mRNAs (Tg, TSHR, TPO and NIS) in the peripheral blood of patients with DTC (579,695-697). Initial studies suggested that circulating Tg mRNA might be employed as a useful tumor marker for thyroid cancer, especially in TgAb-positive patients in whom Tg measurements were subject to TgAb interference (695,698,699). More recently, this approach has been applied to the detection of NIS, TPO, and TSH receptor (TSHR) mRNAs (699,700). Although some studies have suggested that thyroid specific mRNA measurements could be useful for cancer diagnosis and detecting recurrent disease, most studies have concluded that they offer no advantages over sensitive serum Tg measurements (579,699,701). Further, the recent report of false positive Tg mRNA results in patients with congenital athyreosis (702) suggests that Tg mRNA can arise as an assay artifact originating from non-thyroid tissues, or illegitimate transcription (703,704). Conversely, false negative Tg mRNA results have also been observed in patients with documented metastatic disease (705,706). Although Tg, TSHR, NIS and TPO are generally considered “thyroid specific” proteins, mRNAs for these antigens have been detected in non-thyroidal tissues such as lymphocytes, leukocytes, kidney, hepatocytes, brown fat and skin (427,707,708)). Additional sources of variability in mRNA analyses relate to the use of primers that detect splice variants, sample-handling techniques that introduce variability, and difficulties in quantifying the mRNA detected (701,705). The general consensus is that thyroid specific mRNA measurements lack the optimal specificity and practicality to be useful tumor markers (579,699,701). MicroRNA (miRNA) has recently been proposed as an alternate candidate biomarker when Tg measurement is unreliable (709). The growing number of reports of functional TSH receptors and Tg mRNA present in non-thyroidal tissues further suggests that these mRNA measurements will have limited clinical utility in the management of DTC in the future (427,707,708). Further studies in thyroid cancer genomics may yield additional DTC tumor markers with optimal sensitivity and specificity to monitor DTC (710).

 

REFERENCES

 

  1. Spencer CA. Laboratory Thyroid Tests: A Historical Perspective. Thyroid. 2023;33(4):407-419.
  2. Chaney A. Protein-bound iodine. Advances in clinical chemistry. 1958;Vol. 1(2):81-109.
  3. Utiger RD. RADIOIMMUNOASSAY OF HUMAN PLASMA THYROTROPIN. J Clin Invest. 1965;44(8):1277-1286.
  4. Chopra IJ. A radioimmunoassay for measurement of thyroxine in unextracted serum. J Clin Endocrinol Metab.1972;34(6):938-947.
  5. Van Herle AJ, Uller RP, Matthews NL, Brown J. Radioimmunoassay for measurement of thyroglobulin in human serum. J Clin Invest. 1973;52:1320-1327.
  6. Chopra IJ. A radioimmunoassay for measurement of 3,3',5'-triiodothyronine (reverse T3). J Clin Invest.1974;54(3):583-592.
  7. Woodhead J, Addison G, Hales C. The immunoradiometric assay and related techniques. Br Med Bull.1974;30:44-49.
  8. Spencer CA, LoPresti JS, Patel A, Guttler RB, Eigen A, Shen D, Gray D, Nicoloff JT. Applications of a new chemiluminometric thyrotropin assay to subnormal measurement. J Clin Endocrinol Metab. 1990;70:453-460.
  9. Spencer CA TM, Kazarosyan M,. Current Status and Performance Goals for Serum Thyroglobulin Assays. Clin Chem. 1996;42(In Press 1/96).
  10. Baloch Z, Carayon P, Conte-Devolx B, Demers LM, Feldt-Rasmussen U, Henry JF, LiVosli VA, Niccoli-Sire P, John R, Ruf J, Smyth PP, Spencer CA, Stockigt JR. Laboratory medicine practice guidelines. Laboratory support for the diagnosis and monitoring of thyroid disease. Thyroid. 2003;13(1):3-126.
  11. Dufour DR. Laboratory tests of thyroid function: uses and limitations. Endocrinol Metab Clin North Am.2007;36(3):579-594, v.
  12. Thienpont LM, Van Uytfanghe K, Beastall G, Faix JD, Ieiri T, Miller WG, Nelson JC, Ronin C, Ross HA, Thijssen JH, Toussaint B. Report of the IFCC Working Group for Standardization of Thyroid Function Tests; part 2: free thyroxine and free triiodothyronine. Clin Chem. 2010;56(6):912-920.
  13. Van Uytfanghe K, Ehrenkranz J, Halsall D, Hoff K, Loh TP, Spencer CA, Köhrle J. Thyroid Stimulating Hormone and Thyroid Hormones (Triiodothyronine and Thyroxine): An American Thyroid Association-Commissioned Review of Current Clinical and Laboratory Status. Thyroid. 2023;33(9):1013-1028.
  14. Petrovic I, LoPresti J, Fatemi S, Gianoukakis A, Burman K, Gomez-Lima CJ, Nguyen CT, Spencer CA. Influence of Thyroglobulin Autoantibodies on Thyroglobulin Levels Measured by Different Methodologies: IMA, LC-MS/MS, and RIA. J Clin Endocrinol Metab. 2024;109(12):3254-3263.
  15. Thienpont LM, Van Uytfanghe K, Poppe K, Velkeniers B. Determination of free thyroid hormones. Best practice & research Clinical endocrinology & metabolism. 2013;27(5):689-700.
  16. Westbye AB, Aas FE, Kelp O, Dahll LK, Thorsby PM. Analysis of free, unbound thyroid hormones by liquid chromatography-tandem mass spectrometry: A mini-review of the medical rationale and analytical methods. Anal Sci Adv. 2023;4(7-8):244-254.
  17. Giovanella L, D'Aurizio F, Algeciras-Schimnich A, Görges R, Petranovic Ovcaricek P, Tuttle RM, Visser WE, Verburg FA. Thyroglobulin and thyroglobulin antibody: an updated clinical and laboratory expert consensus. Eur J Endocrinol. 2023;189(2):R11-r27.
  18. Tozzoli R, D'Aurizio F, Villalta D, Giovanella L. Evaluation of the first fully automated immunoassay method for the measurement of stimulating TSH receptor autoantibodies in Graves' disease. Clin Chem Lab Med. 2017;55(1):58-64.
  19. Kahaly GJ, Diana T, Olivo PD. TSH Receptor Antibodies: Relevance & Utility. Endocr Pract. 2020;26(1):97-106.
  20. Lupo MA, Olivo PD, Luffy M, Wolf J, Kahaly GJ. US-based, Prospective, Blinded Study of Thyrotropin Receptor Antibody in Autoimmune Thyroid Disease. J Clin Endocrinol Metab. 2024.
  21. Jensen EA, Petersen PH, Blaabjerg O, Hansen PS, Brix TH, Hegedüs L. Establishment of reference distributions and decision values for thyroid antibodies against thyroid peroxidase (TPOAb), thyroglobulin (TgAb) and the thyrotropin receptor (TRAb). Clin Chem Lab Med. 2006;44(8):991-998.
  22. Spencer CA. Clinical review: Clinical utility of thyroglobulin antibody (TgAb) measurements for patients with differentiated thyroid cancers (DTC). J Clin Endocrinol Metab. 2011;96(12):3615-3627.
  23. Verburg FA, Luster M, Cupini C, Chiovato L, Duntas L, Elisei R, Feldt-Rasmussen U, Rimmele H, Seregni E, Smit JW, Theimer C, Giovanella L. Implications of thyroglobulin antibody positivity in patients with differentiated thyroid cancer: a clinical position statement. Thyroid. 2013;23(10):1211-1225.
  24. Netzel BC, Grebe SK, Carranza Leon BG, Castro MR, Clark PM, Hoofnagle AN, Spencer CA, Turcu AF, Algeciras-Schimnich A. Thyroglobulin (Tg) Testing Revisited: Tg Assays, TgAb Assays, and Correlation of Results With Clinical Outcomes. J Clin Endocrinol Metab. 2015;100(8):E1074-1083.
  25. Schussler GC. The thyroxine-binding proteins. Thyroid. 2000;10(2):141-149.
  26. Pappa T, Ferrara AM, Refetoff S. Inherited defects of thyroxine-binding proteins. Best practice & research Clinical endocrinology & metabolism. 2015;29(5):735-747.
  27. L Bartalena, D Gallo, E Piantanida. Serum thyroid hormone-binding proteins. In: Encyclopedia of Endocrine Diseases. 2024:442-447.
  28. Thienpont LM, Van Uytfanghe K, Van Houcke S. Standardization activities in the field of thyroid function tests: a status report. Clin Chem Lab Med. 2010;48(11):1577-1583.
  29. Thienpont LM, Van Uytfanghe K, Beastall G, Faix JD, Ieiri T, Miller WG, Nelson JC, Ronin C, Ross HA, Thijssen JH, Toussaint B. Report of the IFCC Working Group for Standardization of Thyroid Function Tests; part 1: thyroid-stimulating hormone. Clin Chem. 2010;56(6):902-911.
  30. Jonklaas J, Sathasivam A, Wang H, Gu J, Burman KD, Soldin SJ. Total and free thyroxine and triiodothyronine: measurement discrepancies, particularly in inpatients. Clin Biochem. 2014;47(13-14):1272-1278.
  31. Vesper HW, Myers GL, Miller WG. Current practices and challenges in the standardization and harmonization of clinical laboratory tests. Am J Clin Nutr. 2016;104 Suppl 3(Suppl 3):907s-912s.
  32. Ribera A, Zhang L, Ribeiro C, Vazquez N, Thonkulpitak J, Botelho JC, Danilenko U, van Uytfanghe K, Vesper HW. Practical considerations for accurate determination of free thyroxine by equilibrium dialysis. J Mass Spectrom Adv Clin Lab. 2023;29:9-15.
  33. Cowper B, Lyle AN, Vesper HW, Van Uytfanghe K, Burns C. Standardisation and harmonisation of thyroid-stimulating hormone measurements: historical, current, and future perspectives. Clin Chem Lab Med.2024;62(5):824-829.
  34. Thienpont LM, Beastall G, Christofides ND, Faix JD, Ieiri T, Jarrige V, Miller WG, Miller R, Nelson JC, Ronin C, Ross HA, Rottmann M, Thijssen JH, Toussaint B. Proposal of a candidate international conventional reference measurement procedure for free thyroxine in serum. Clin Chem Lab Med. 2007;45(7):934-936.
  35. Van Houcke SK, Van Uytfanghe K, Shimizu E, Tani W, Umemoto M, Thienpont LM. IFCC international conventional reference procedure for the measurement of free thyroxine in serum: International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Working Group for Standardization of Thyroid Function Tests (WG-STFT)(1). Clin Chem Lab Med. 2011;49(8):1275-1281.
  36. Jansen HI, van der Steen R, Brandt A, Olthaar AJ, Vesper HW, Shimizu E, Heijboer AC, Van Uytfanghe K, van Herwaarden AE. Description and validation of an equilibrium dialysis ID-LC-MS/MS candidate reference measurement procedure for free thyroxine in human serum. Clin Chem Lab Med. 2023;61(9):1605-1611.
  37. Hoofnagle AN, Becker JO, Wener MH, Heinecke JW. Quantification of thyroglobulin, a low-abundance serum protein, by immunoaffinity peptide enrichment and tandem mass spectrometry. Clin Chem. 2008;54(11):1796-1804.
  38. Hoofnagle AN, Roth MY. Clinical review: improving the measurement of serum thyroglobulin with mass spectrometry. J Clin Endocrinol Metab. 2013;98(4):1343-1352.
  39. Clarke NJ, Zhang Y, Reitz RE. A novel mass spectrometry-based assay for the accurate measurement of thyroglobulin from patient samples containing antithyroglobulin autoantibodies. Journal of Investigative Medicine: the official publication of the American Federation for Clinical Research. 2012;60(8):1157-1163.
  40. Kushnir MM, Rockwood AL, Roberts WL, Abraham D, Hoofnagle AN, Meikle AW. Measurement of thyroglobulin by liquid chromatography-tandem mass spectrometry in serum and plasma in the presence of antithyroglobulin autoantibodies. Clin Chem. 2013;59(6):982-990.
  41. Netzel BC, Grant RP, Hoofnagle AN, Rockwood AL, Shuford CM, Grebe SK. First Steps toward Harmonization of LC-MS/MS Thyroglobulin Assays. Clin Chem. 2016;62(1):297-299.
  42. Shuford CM, Walters JJ, Holland PM, Sreenivasan U, Askari N, Ray K, Grant RP. Absolute Protein Quantification by Mass Spectrometry: Not as Simple as Advertised. Anal Chem. 2017;89(14):7406-7415.
  43. Barbesino G, Algeciras-Schimnich A, Bornhorst J. Thyroglobulin Assay Interferences: Clinical Usefulness of Mass-Spectrometry Methods. J Endocr Soc. 2022;7(1):bvac169.
  44. Thienpont LM, De Brabandere VI, Stöckl D, De Leenheer AP. Development of a new method for the determination of thyroxine in serum based on isotope dilution gas chromatography mass spectrometry. Biol Mass Spectrom.1994;23(8):475-482.
  45. Spencer C, Petrovic I, Fatemi S. Current thyroglobulin autoantibody (TgAb) assays often fail to detect interfering TgAb that can result in the reporting of falsely low/undetectable serum Tg IMA values for patients with differentiated thyroid cancer. J Clin Endocrinol Metab. 2011;96(5):1283-1291.
  46. Westbye AB, Aas FE, Dahl SR, Zykova SN, Kelp O, Dahll LK, Thorsby PM. Large method differences for free thyroid hormone assays in the hyperthyroid range can affect assessment of hyperthyroid status: Comparison of Abbott Alinity to Roche Cobas, Siemens Centaur and equilibrium dialysis LC-MS/MS. Clin Biochem. 2023;121-122:110676.
  47. Stagnaro-Green A, Abalovich M, Alexander E, Azizi F, Mestman J, Negro R, Nixon A, Pearce EN, Soldin OP, Sullivan S, Wiersinga W. Guidelines of the American Thyroid Association for the diagnosis and management of thyroid disease during pregnancy and postpartum. Thyroid. 2011;21(10):1081-1125.
  48. Alexander EK, Pearce EN, Brent GA, Brown RS, Chen H, Dosiou C, Grobman WA, Laurberg P, Lazarus JH, Mandel SJ, Peeters RP, Sullivan S. 2017 Guidelines of the American Thyroid Association for the Diagnosis and Management of Thyroid Disease During Pregnancy and the Postpartum. Thyroid. 2017;27(3):315-389.
  49. Garber JR, Cobin RH, Gharib H, Hennessey JV, Klein I, Mechanick JI, Pessah-Pollack R, Singer PA, Woeber KA. Clinical practice guidelines for hypothyroidism in adults: cosponsored by the American Association of Clinical Endocrinologists and the American Thyroid Association. Thyroid. 2012;22(12):1200-1235.
  50. Pearce SH, Brabant G, Duntas LH, Monzani F, Peeters RP, Razvi S, Wemeau JL. 2013 ETA Guideline: Management of Subclinical Hypothyroidism. Eur Thyroid J. 2013;2(4):215-228.
  51. Lazarus J, Brown RS, Daumerie C, Hubalewska-Dydejczyk A, Negro R, Vaidya B. 2014 European thyroid association guidelines for the management of subclinical hypothyroidism in pregnancy and in children. Eur Thyroid J. 2014;3(2):76-94.
  52. Jonklaas J, Bianco AC, Bauer AJ, Burman KD, Cappola AR, Celi FS, Cooper DS, Kim BW, Peeters RP, Rosenthal MS, Sawka AM. Guidelines for the treatment of hypothyroidism: prepared by the american thyroid association task force on thyroid hormone replacement. Thyroid. 2014;24(12):1670-1751.
  53. Biondi B, Bartalena L, Cooper DS, Hegedüs L, Laurberg P, Kahaly GJ. The 2015 European Thyroid Association Guidelines on Diagnosis and Treatment of Endogenous Subclinical Hyperthyroidism. Eur Thyroid J. 2015;4(3):149-163.
  54. Ross DS, Burch HB, Cooper DS, Greenlee MC, Laurberg P, Maia AL, Rivkees SA, Samuels M, Sosa JA, Stan MN, Walter MA. 2016 American Thyroid Association Guidelines for Diagnosis and Management of Hyperthyroidism and Other Causes of Thyrotoxicosis. Thyroid. 2016;26(10):1343-1421.
  55. Gharib H, Papini E, Garber JR, Duick DS, Harrell RM, Hegedüs L, Paschke R, Valcavi R, Vitti P. Medical Guidelines for Clinical Practice for the Diagnosis and Management of Thyroid Nodules--2016 Update. Endocr Pract. 2016;22(5):622-639.
  56. Francis GL, Waguespack SG, Bauer AJ, Angelos P, Benvenga S, Cerutti JM, Dinauer CA, Hamilton J, Hay ID, Luster M, Parisi MT, Rachmiel M, Thompson GB, Yamashita S. Management Guidelines for Children with Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2015;25(7):716-759.
  57. Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, Pacini F, Randolph GW, Sawka AM, Schlumberger M, Schuff KG, Sherman SI, Sosa JA, Steward DL, Tuttle RM, Wartofsky L. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid. 2016;26(1):1-133.
  58. Filetti S, Durante C, Hartl D, Leboulleux S, Locati LD, Newbold K, Papotti MG, Berruti A. Thyroid cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up†. Ann Oncol. 2019;30(12):1856-1883.
  59. Bible KC, Kebebew E, Brierley J, Brito JP, Cabanillas ME, Clark TJ, Jr., Di Cristofano A, Foote R, Giordano T, Kasperbauer J, Newbold K, Nikiforov YE, Randolph G, Rosenthal MS, Sawka AM, Shah M, Shaha A, Smallridge R, Wong-Clark CK. 2021 American Thyroid Association Guidelines for Management of Patients with Anaplastic Thyroid Cancer. Thyroid. 2021;31(3):337-386.
  60. Giannoula E, Exadaktylou P, Melidis C, Koutsouki G, Katsadouros I, Tsangaridi A, Charalambous P, Papadopoulou K, Frangos S, Iakovou I. Real-world applicability of differentiated thyroid cancer guidelines. Hell J Nucl Med.2024;27(2):121-130.
  61. Bartalena L, Robbins J. Thyroid hormone transport proteins. Clin Lab Med. 1993;13(3):583-598.
  62. Stockigt JR. Free thyroid hormone measurement. A critical appraisal. Endocrinol Metab Clin North Am.2001;30(2):265-289.
  63. Murphy BE, Pattee CJ. Determination of Thyroxine Utilizing the Property of Protein-Binding. J Clin Endocrinol Metab. 1964;24:187-196.
  64. Thienpont LM, Fierens C, De Leenheer AP, Przywara L. Isotope dilution-gas chromatography/mass spectrometry and liquid chromatography/electrospray ionization-tandem mass spectrometry for the determination of triiodo-L-thyronine in serum. Rapid Commun Mass Spectrom. 1999;13(19):1924-1931.
  65. Soldin SJ, Soukhova N, Janicic N, Jonklaas J, Soldin OP. The measurement of free thyroxine by isotope dilution tandem mass spectrometry. Clin Chim Acta. 2005;358(1-2):113-118.
  66. Li W, Gao B, Yang T, Tang L, Song D, Li H, Sun K, Xiao P. Development and validation of an isotope dilution-liquid chromatography (ID-LC-MS/MS)-based candidate reference measurement procedure for total 3,3',5-triiodothyronine in human serum. Anal Bioanal Chem. 2025.
  67. Matsuda M, Sakata S, Komaki T, Nakamura S, Kojima N, Takuno H, Miura K. Effect of 8-anilino-1-naphthalene sulfonic acid (ANS) on the interaction between thyroid hormone and anti-thyroid hormone antibodies. Clin Chim Acta. 1989;185(2):139-146.
  68. Thienpont LM, Van Uytfanghe K, Marriott J, Stokes P, Siekmann L, Kessler A, Bunk D, Tai S. Feasibility study of the use of frozen human sera in split-sample comparison of immunoassays with candidate reference measurement procedures for total thyroxine and total triiodothyronine measurements. Clin Chem. 2005;51(12):2303-2311.
  69. Faix JD, Miller WG. Progress in standardizing and harmonizing thyroid function tests. Am J Clin Nutr. 2016;104 Suppl 3(Suppl 3):913s-917s.
  70. Zhou Q, Li S, Li X, Wang W, Wang Z. Comparability of five analytical systems for the determination of triiodothyronine, thyroxine and thyroid-stimulating hormone. Clin Chem Lab Med. 2006;44(11):1363-1366.
  71. Algeciras-Schimnich A, Bruns DE, Boyd JC, Bryant SC, La Fortune KA, Grebe SK. Failure of current laboratory protocols to detect lot-to-lot reagent differences: findings and possible solutions. Clin Chem. 2013;59(8):1187-1194.
  72. Van Houcke SK, Thienpont LM. "Good samples make good assays" – the problem of sourcing clinical samples for a standardization project. Clin Chem Lab Med. 2013;51(5):967-972.
  73. Lee RH, Spencer CA, Mestman JH, Miller EA, Petrovic I, Braverman LE, Goodwin TM. Free T4 immunoassays are flawed during pregnancy. Am J Obstet Gynecol. 2009;200(3):260.e261-266.
  74. Wilson KL, Casey BM, McIntire DD, Cunningham FG. Is total thyroxine better than free thyroxine during pregnancy? Am J Obstet Gynecol. 2014;211(2):132.e131-136.
  75. Korevaar TI, Chaker L, Medici M, de Rijke YB, Jaddoe VW, Steegers EA, Tiemeier H, Visser TJ, Peeters RP. Maternal total T4 during the first half of pregnancy: physiologic aspects and the risk of adverse outcomes in comparison with free T4. Clin Endocrinol (Oxf). 2016;85(5):757-763.
  76. De Groot L, Abalovich M, Alexander EK, Amino N, Barbour L, Cobin RH, Eastman CJ, Lazarus JH, Luton D, Mandel SJ, Mestman J, Rovet J, Sullivan S. Management of thyroid dysfunction during pregnancy and postpartum: an Endocrine Society clinical practice guideline. J Clin Endocrinol Metab. 2012;97(8):2543-2565.
  77. Klee GG. Clinical usage recommendations and analytic performance goals for total and free triiodothyronine measurements. Clin Chem. 1996;42(1):155-159.
  78. Welsh KJ, Soldin SJ. Diagnosis of Endocrine Disease: How reliable are free thyroid and total T3 hormone assays? Eur J Endocrinol. 2016;175(6):R255-r263.
  79. Ekins R. Measurement of free hormones in blood. Endocr Rev. 1990;11(1):5-46.
  80. Faix JD. Principles and pitfalls of free hormone measurements. Best practice & research Clinical endocrinology & metabolism. 2013;27(5):631-645.
  81. Sterling K, Brenner MA. Free thyroxine in human serum: simplified measurement with the aid of magnesium precipitation. J Clin Invest. 1966;45(1):153-163.
  82. Nelson JC, Weiss RM. The effect of serum dilution on free thyroxine (T4) concentration in the low T4 syndrome of nonthyroidal illness. J Clin Endocrinol Metab. 1985;61(2):239-246.
  83. Sophianopoulos J, Jerkunica I, Lee CN, Sgoutas D. An improved ultrafiltration method for free thyroxine and triiodothyronine in serum. Clin Chem. 1980;26(1):159-162.
  84. Wang YS, Hershman JM, Pekary AE. Improved ultrafiltration method for simultaneous measurement of free thyroxin and free triiodothyronine in serum. Clin Chem. 1985;31(4):517-522.
  85. Weeke J, Boye N, Orskov H. Ultrafiltration method for direct radioimmunoassay measurement of free thyroxine and free tri-iodothyronine in serum. Scand J Clin Lab Invest. 1986;46(4):381-389.
  86. Romelli PB, Pennisi F, Vancheri L. Measurement of free thyroid hormones in serum by column adsorption chromatography and radioimmunoassay. J Endocrinol Invest. 1979;2(1):25-40.
  87. Thienpont LM, Van Uytfanghe K, Van Houcke S, Das B, Faix JD, MacKenzie F, Quinn FA, Rottmann M, Van den Bruel A. A Progress Report of the IFCC Committee for Standardization of Thyroid Function Tests. Eur Thyroid J.2014;3(2):109-116.
  88. Thienpont L, Uytfanghe KV, Grande LD, Reynders D, Das B, Faix J, MacKenzie F, Decallonne B, Hishinuma A, Lapauw B, Taelman P, Crombrugge PV, Bruel AVd, Velkeniers B, Williams P. Harmonization of Serum Thyroid-Stimulating Hormone Measurements Paves the Way for the Adoption of a More Uniform Reference Interval. Clin Chem. 2017;63:1248-1260.
  89. De Grande LAC, Van Uytfanghe K, Reynders D, Das B, Faix JD, MacKenzie F, Decallonne B, Hishinuma A, Lapauw B, Taelman P, Van Crombrugge P, Van den Bruel A, Velkeniers B, Williams P, Thienpont LM. Standardization of Free Thyroxine Measurements Allows the Adoption of a More Uniform Reference Interval. Clin Chem. 2017;63(10):1642-1652.
  90. Iitaka M, Kawasaki S, Sakurai S, Hara Y, Kuriyama R, Yamanaka K, Kitahama S, Miura S, Kawakami Y, Katayama S. Serum substances that interfere with thyroid hormone assays in patients with chronic renal failure. Clin Endocrinol (Oxf). 1998;48(6):739-746.
  91. Moran C, Schoenmakers N, Halsall D, Oddy S, Lyons G, van den Berg S, Gurnell M, Chatterjee K. Approach to the Patient With Raised Thyroid Hormones and Nonsuppressed TSH. J Clin Endocrinol Metab. 2024;109(4):1094-1108.
  92. Nelson JC, Tomei RT. Direct determination of free thyroxin in undiluted serum by equilibrium dialysis/radioimmunoassay. Clin Chem. 1988;34(9):1737-1744.
  93. Hopley CJ, Stokes P, Webb KS, Baynham M. The analysis of thyroxine in human serum by an 'exact matching' isotope dilution method with liquid chromatography/tandem mass spectrometry. Rapid Commun Mass Spectrom.2004;18(10):1033-1038.
  94. Jonklaas J, Kahric-Janicic N, Soldin OP, Soldin SJ. Correlations of free thyroid hormones measured by tandem mass spectrometry and immunoassay with thyroid-stimulating hormone across 4 patient populations. Clin Chem.2009;55(7):1380-1388.
  95. Van Uytfanghe K, Stöckl D, Ross HA, Thienpont LM. Use of frozen sera for FT4 standardization: investigation by equilibrium dialysis combined with isotope dilution-mass spectrometry and immunoassay. Clin Chem.2006;52(9):1817-1821.
  96. Yue B, Rockwood AL, Sandrock T, La'ulu SL, Kushnir MM, Meikle AW. Free thyroid hormones in serum by direct equilibrium dialysis and online solid-phase extraction--liquid chromatography/tandem mass spectrometry. Clin Chem. 2008;54(4):642-651.
  97. Christofides ND, Midgley JE. Inaccuracies in free thyroid hormone measurement by ultrafiltration and tandem mass spectrometry. Clin Chem. 2009;55(12):2228-2229; author reply 2229-2230.
  98. Tikanoja S. Ultrafiltration devices tested for use in a free thyroxine assay validated by comparison with equilibrium dialysis. Scand J Clin Lab Invest. 1990;50(6):663-669.
  99. Fritz KS, Wilcox RB, Nelson JC. Quantifying spurious free T4 results attributable to thyroxine-binding proteins in serum dialysates and ultrafiltrates. Clin Chem. 2007;53(5):985-988.
  100. Tractenberg RE, Jonklaas J, Soldin SJ. Agreement of immunoassay and tandem mass spectrometry in the analysis of cortisol and free t4: interpretation and implications for clinicians. Int J Anal Chem. 2010;2010.
  101. Tuttlebee J, R B. A comparison of free thyroxine concentration and the free thyroxine index as diagnostic tests of thyroid function. Ann Clin Biochem. 1981;18:88-92.
  102. Roberts RF, La'ulu SL, Roberts WL. Performance characteristics of seven automated thyroxine and T-uptake methods. Clin Chim Acta. 2007;377(1-2):248-255.
  103. Nelson JC, Tomei RT. Dependence of the thyroxin/thyroxin-binding globulin (TBG) ratio and the free thyroxin index on TBG concentrations. Clin Chem. 1989;35(4):541-544.
  104. Stockigt JR, Lim CF. Medications that distort in vitro tests of thyroid function, with particular reference to estimates of serum free thyroxine. Best practice & research Clinical endocrinology & metabolism. 2009;23(6):753-767.
  105. Cartwright D, O'Shea P, Rajanayagam O, Agostini M, Barker P, Moran C, Macchia E, Pinchera A, John R, Agha A, Ross HA, Chatterjee VK, Halsall DJ. Familial dysalbuminemic hyperthyroxinemia: a persistent diagnostic challenge. Clin Chem. 2009;55(5):1044-1046.
  106. D'Aurizio F, Kratzsch J, Gruson D, Petranović Ovčariček P, Giovanella L. Free thyroxine measurement in clinical practice: how to optimize indications, analytical procedures, and interpretation criteria while waiting for global standardization. Crit Rev Clin Lab Sci. 2023;60(2):101-140.
  107. Felicetta JV, Green WL. Value of free thyroxine index. N Engl J Med. 1980;302(26):1480-1481.
  108. Larsen PR, Alexander NM, Chopra IJ, Hay ID, Hershman JM, Kaplan MM, Mariash CN, Nicoloff JT, Oppenheimer JH, Solomon DH, et al. Revised nomenclature for tests of thyroid hormones and thyroid-related proteins in serum. J Clin Endocrinol Metab. 1987;64(5):1089-1094.
  109. Litherland PG, Bromage NR, Hall RA. Thyroxine binding globulin (TBG) and thyroxine binding prealbumin (TBPA) measurement, compared with the conventional T3 uptake in the diagnosis of thyroid disease. Clin Chim Acta.1982;122(3):345-352.
  110. Kundra P, Burman KD. The effect of medications on thyroid function tests. Med Clin North Am. 2012;96(2):283-295.
  111. Witherspoon LR, Shuler SE, Garcia MM. The triiodothyronine uptake test: an assessment of methods Clin Chem.1981;27:1272-1276.
  112. Hay ID, Bayer MF, Kaplan MM, Klee GG, Larsen PR, Spencer CA. American Thyroid Association assessment of current free thyroid hormone and thyrotropin measurements and guidelines for future clinical assays. The Committee on Nomenclature of the American Thyroid Association. Clin Chem. 1991;37(11):2002-2008.
  113. Midgley JE. Direct and indirect free thyroxine assay methods: theory and practice. Clin Chem. 2001;47(8):1353-1363.
  114. Harpen MD, Lee WN, Siegel JA, Greenfield MA. Serum binding of triiodothyronine: theoretical and practical implications for in vitro triiodothyronine uptake. Endocrinology. 1982;110(5):1732-1739.
  115. Faix JD, Rosen HN, Velazquez FR. Indirect estimation of thyroid hormone-binding proteins to calculate free thyroxine index: comparison of nonisotopic methods that use labeled thyroxine ("T-uptake"). Clin Chem.1995;41(1):41-47.
  116. Burr WA, Ramsden DB, Hoffenberg R. Hereditary abnormalities of thyroxine-binding globulin concentration. A study of 19 kindreds with inherited increase or decrease of thyroxine-binding globulin. Q J Med. 1980;49(195):295-313.
  117. Jensen IW, Faber J. Familial dysalbuminemic hyperthyroxinemia. Acta Med Scand. 1987;221(5):469-473.
  118. Hoshikawa S, Mori K, Kaise N, Nakagawa Y, Ito S, Yoshida K. Artifactually elevated serum-free thyroxine levels measured by equilibrium dialysis in a pregnant woman with familial dysalbuminemic hyperthyroxinemia. Thyroid.2004;14(2):155-160.
  119. Ting MJM, Zhang R, Lim EM, Ward BK, Wilson SG, Walsh JP. Familial Dysalbuminemic Hyperthyroxinemia as a Cause for Discordant Thyroid Function Tests. J Endocr Soc. 2021;5(4):bvab012.
  120. Zouwail SA, O'Toole AM, Clark PM, Begley JP. Influence of thyroid hormone autoantibodies on 7 thyroid hormone assays. Clin Chem. 2008;54(5):927-928.
  121. Fillée C, Cumps J, Ketelslegers JM. Comparison of three free T4 (FT4) and free T3 (FT3) immunoassays in healthy subjects and patients with thyroid diseases and severe non-thyroidal illnesses. Clin Lab. 2012;58(7-8):725-736.
  122. Sapin R, Schlienger JL, Gasser F, Noel E, Lioure B, Grunenberger F, Goichot B, Grucker D. Intermethod discordant free thyroxine measurements in bone marrow-transplanted patients. Clin Chem. 2000;46(3):418-422.
  123. Surks MI, Sievert R. Drugs and thyroid function. N Engl J Med. 1995;333(25):1688-1694.
  124. Levinson SS, Rieder SV. Parameters affecting a rapid method in which Sephadex is used to determine the percentage of free thyroxine in serum. Clin Chem. 1974;20(12):1568-1572.
  125. Oppenheimer JH, Squef R, Surks MI, Hauer H. BINDING OF THYROXINE BY SERUM PROTEINS EVALUATED BY EQUILIBRUM DIALYSIS AND ELECTROPHORETIC TECHNIQUES. ALTERATIONS IN NONTHYROIDAL ILLNESS. J Clin Invest. 1963;42(11):1769-1782.
  126. Snyder SM, Cavalieri RR, Ingbar SH. Simultaneous measurement of percentage free thyroxine and triiodothyronine: comparison of equilibrium dialysis and Sephadex chromatography. J Nucl Med. 1976;17(7):660-664.
  127. Ross HA, Benraad TJ. Is free thyroxine accurately measurable at room temperature? Clin Chem. 1992;38(6):880-886.
  128. Uchimura H, Nagataki S, Tabuchi T, MMizuno, Ingbar S. Measurements of free thyroxine: comparison of per cent of free thyroxine in diluted and undiluted sera. J Clin Endocrinol Metab. 1976;42:561-566.
  129. Witherspoon LR, Shuler SE, Garcia MM, Zollinger LA. Effects of contaminant radioactivity on results of 125I-radioligand assay. Clin Chem. 1979;25(11):1975-1977.
  130. Midgley JE, Hoermann R. Measurement of total rather than free thyroxine in pregnancy: the diagnostic implications. Thyroid. 2013;23(3):259-261.
  131. Ma Z, Liu Z, Deng Y, Bai X, Zhou W, Zhang C. Free thyroid hormone: Methods and standardization. Clin Chim Acta. 2025;565:119944.
  132. Toldy E, Locsei Z, Szabolcs I, Bezzegh A, Kovács GL. Protein interference in thyroid assays: an in vitro study with in vivo consequences. Clin Chim Acta. 2005;352(1-2):93-104.
  133. van Deventer HE, Mendu DR, Remaley AT, Soldin SJ. Inverse log-linear relationship between thyroid-stimulating hormone and free thyroxine measured by direct analog immunoassay and tandem mass spectrometry. Clin Chem.2011;57(1):122-127.
  134. Gounden V, Jonklaas J, Soldin SJ. A pilot study: subclinical hypothyroidism and free thyroid hormone measurement by immunoassay and mass spectrometry. Clin Chim Acta. 2014;430:121-124.
  135. Kratzsch J, Baumann NA, Ceriotti F, Lu ZX, Schott M, van Herwaarden AE, Henriques Vieira JG, Kasapic D, Giovanella L. Global FT4 immunoassay standardization: an expert opinion review. Clin Chem Lab Med.2021;59(6):1013-1023.
  136. Piketty ML, Bounaud MP, Bounaud JY, Lebtahi R, Valat C, Askienazy S, Begon F, Besnard JC. Multicentre evaluation of a two-step automated enzyme immunoassay of free thyroxine. Eur J Clin Chem Clin Biochem.1992;30(8):485-492.
  137. Christofides ND, Sheehan CP. Multicenter evaluation of enhanced chemiluminescence labeled-antibody immunoassay (Amerlite-MAB) for free thyroxine. Clin Chem. 1995;41(1):24-31.
  138. Martel J, Després N, Ahnadi CE, Lachance JF, Monticello JE, Fink G, Ardemagni A, Banfi G, Tovey J, Dykes P, John R, Jeffery J, Grant AM. Comparative multicentre study of a panel of thyroid tests using different automated immunoassay platforms and specimens at high risk of antibody interference. Clin Chem Lab Med. 2000;38(8):785-793.
  139. Sapin R, d'Herbomez M. Free thyroxine measured by equilibrium dialysis and nine immunoassays in sera with various serum thyroxine-binding capacities. Clin Chem. 2003;49(9):1531-1535.
  140. Masika LS, Zhao Z, Soldin SJ. Is measurement of TT3 by immunoassay reliable at low concentrations? A comparison of the Roche Cobas 6000 vs. LC-MSMS. Clin Biochem. 2016;49(12):846-849.
  141. Livingston M, Birch K, Guy M, Kane J, Heald AH. No role for tri-iodothyronine (T3) testing in the assessment of levothyroxine (T4) over-replacement in hypothyroid patients. Br J Biomed Sci. 2015;72(4):160-163.
  142. Berberoğlu M. Drugs and thyroid interaction. Pediatr Endocrinol Rev. 2003;1 Suppl 2:251-256.
  143. Brown SJ, Bremner AP, Hadlow NC, Feddema P, Leedman PJ, O'Leary PC, Walsh JP. The log TSH-free T4 relationship in a community-based cohort is nonlinear and is influenced by age, smoking and thyroid peroxidase antibody status. Clin Endocrinol (Oxf). 2016;85(5):789-796.
  144. Hadlow NC, Rothacker KM, Wardrop R, Brown SJ, Lim EM, Walsh JP. The relationship between TSH and free T₄in a large population is complex and nonlinear and differs by age and sex. J Clin Endocrinol Metab.2013;98(7):2936-2943.
  145. Chaker L, Korevaar TI, Medici M, Uitterlinden AG, Hofman A, Dehghan A, Franco OH, Peeters RP. Thyroid Function Characteristics and Determinants: The Rotterdam Study. Thyroid. 2016;26(9):1195-1204.
  146. Jones AM, Honour JW. Unusual results from immunoassays and the role of the clinical endocrinologist. Clin Endocrinol (Oxf). 2006;64(3):234-244.
  147. Teti C, Nazzari E, Galletti MR, Mandolfino MG, Pupo F, Pesce G, Lillo F, Bagnasco M, Benvenga S. Unexpected Elevated Free Thyroid Hormones in Pregnancy. Thyroid. 2016;26(11):1640-1644.
  148. Soheilipour F, Fazilaty H, Jesmi F, Gahl WA, Behnam B. First report of inherited thyroxine-binding globulin deficiency in Iran caused by a known de novo mutation in SERPINA7. Mol Genet Metab Rep. 2016;8:13-16.
  149. Jin HY. Thyroxine binding globulin excess detected by neonatal screening. Ann Pediatr Endocrinol Metab.2016;21(2):105-108.
  150. Greenberg SM, Ferrara AM, Nicholas ES, Dumitrescu AM, Cody V, Weiss RE, Refetoff S. A novel mutation in the Albumin gene (R218S) causing familial dysalbuminemic hyperthyroxinemia in a family of Bangladeshi extraction. Thyroid. 2014;24(6):945-950.
  151. Osaki Y, Hayashi Y, Nakagawa Y, Yoshida K, Ozaki H, Fukazawa H. Familial Dysalbuminemic Hyperthyroxinemia in a Japanese Man Caused by a Point Albumin Gene Mutation (R218P). Jpn Clin Med. 2016;7:9-13.
  152. Cho YY, Song JS, Park HD, Kim YN, Kim HI, Kim TH, Chung JH, Ki CS, Kim SW. First Report of Familial Dysalbuminemic Hyperthyroxinemia With an ALB Variant. Ann Lab Med. 2017;37(1):63-65.
  153. Pietras SM, Safer JD. Diagnostic confusion attributable to spurious elevation of both total thyroid hormone and thyroid hormone uptake measurements in the setting of autoantibodies: case report and review of related literature. Endocr Pract. 2008;14(6):738-742.
  154. Massart C, Elbadii S, Gibassier J, Coignard V, Rasandratana A. Anti-thyroxine and anti-triiodothyronine antibody interferences in one-step free triiodothyronine and free thyroxine immunoassays. Clin Chim Acta. 2009;401(1-2):175-176.
  155. Loh TP, Leong SM, Loke KY, Deepak DS. Spuriously elevated free thyroxine associated with autoantibodies, a result of laboratory methodology: case report and literature review. Endocr Pract. 2014;20(8):e134-139.
  156. Okosieme OE, Agrawal M, Usman D, Evans C. Method-dependent variation in TSH and FT4 reference intervals in pregnancy: A systematic review. Ann Clin Biochem. 2021;58(5):537-546.
  157. Osinga JAJ, Nelson SM, Walsh JP, Ashoor G, Palomaki GE, López-Bermejo A, Bassols J, Aminorroaya A, Broeren MAC, Chen L, Lu X, Brown SJ, Veltri F, Huang K, Männistö T, Vafeiadi M, Taylor PN, Tao FB, Chatzi L, Kianpour M, Suvanto E, Grineva EN, Nicolaides KH, D'Alton ME, Poppe KG, Alexander E, Feldt-Rasmussen U, Bliddal S, Popova PV, Chaker L, Visser WE, Peeters RP, Derakhshan A, Vrijkotte TGM, Pop VJM, Korevaar TIM. Defining gestational thyroid dysfunction through modified non-pregnancy reference intervals: an individual participant meta-analysis. J Clin Endocrinol Metab. 2024.
  158. Osinga JAJ, Derakhshan A, Palomaki GE, Ashoor G, Männistö T, Maraka S, Chen L, Bliddal S, Lu X, Taylor PN, Vrijkotte TGM, Tao FB, Brown SJ, Ghafoor F, Poppe K, Veltri F, Chatzi L, Vaidya B, Broeren MAC, Shields BM, Itoh S, Mosso L, Popova PV, Anopova AD, Kishi R, Aminorroaya A, Kianpour M, López-Bermejo A, Oken E, Pirzada A, Vafeiadi M, Bramer WM, Suvanto E, Yoshinaga J, Huang K, Bassols J, Boucai L, Feldt-Rasmussen U, Grineva EN, Pearce EN, Alexander EK, Pop VJM, Nelson SM, Walsh JP, Peeters RP, Chaker L, Nicolaides KH, D'Alton ME, Korevaar TIM. TSH and FT4 Reference Intervals in Pregnancy: A Systematic Review and Individual Participant Data Meta-Analysis. J Clin Endocrinol Metab. 2022;107(10):2925-2933.
  159. Chan S, Boelaert K. Optimal management of hypothyroidism, hypothyroxinaemia and euthyroid TPO antibody positivity preconception and in pregnancy. Clin Endocrinol (Oxf). 2015;82(3):313-326.
  160. Varner MW, Mele L, Casey BM, Peaceman AM, Reddy UM, Wapner RJ, Thorp JM, Saade GR, Tita ATN, Rouse DJ, Sibai BM, Costantine MM, Mercer BM, Caritis SN. Progression of Gestational Subclinical Hypothyroidism and Hypothyroxinemia to Overt Hypothyroidism After Pregnancy: Pooled Analysis of Data from Two Randomized Controlled Trials. Thyroid. 2024;34(9):1171-1176.
  161. Oguz A, Tuzun D, Sahin M, Usluogullari AC, Usluogullari B, Celik A, Gul K. Frequency of isolated maternal hypothyroxinemia in women with gestational diabetes mellitus in a moderately iodine-deficient area. Gynecol Endocrinol. 2015;31(10):792-795.
  162. Haddow JE, Craig WY, Neveux LM, Palomaki GE, Lambert-Messerlian G, Malone FD, D'Alton ME. Free Thyroxine During Early Pregnancy and Risk for Gestational Diabetes. PloS one. 2016;11(2):e0149065.
  163. Yang S, Shi FT, Leung PC, Huang HF, Fan J. Low Thyroid Hormone in Early Pregnancy Is Associated With an Increased Risk of Gestational Diabetes Mellitus. J Clin Endocrinol Metab. 2016;101(11):4237-4243.
  164. Berta E, Samson L, Lenkey A, Erdei A, Cseke B, Jenei K, Major T, Jakab A, Jenei Z, Paragh G, Nagy EV, Bodor M. Evaluation of the thyroid function of healthy pregnant women by five different hormone assays. Pharmazie.2010;65(6):436-439.
  165. Laurberg P, Andersen SL, Hindersson P, Nohr EA, Olsen J. Dynamics and Predictors of Serum TSH and fT4 Reference Limits in Early Pregnancy: A Study Within the Danish National Birth Cohort. J Clin Endocrinol Metab.2016;101(6):2484-2492.
  166. Price A, Obel O, Cresswell J, Catch I, Rutter S, Barik S, Heller SR, Weetman AP. Comparison of thyroid function in pregnant and non-pregnant Asian and western Caucasian women. Clin Chim Acta. 2001;308(1-2):91-98.
  167. Dhatt GS, Jayasundaram R, Wareth LA, Nagelkerke N, Jayasundaram K, Darwish EA, Lewis A. Thyrotrophin and free thyroxine trimester-specific reference intervals in a mixed ethnic pregnant population in the United Arab Emirates. Clin Chim Acta. 2006;370(1-2):147-151.
  168. La'ulu SL, Roberts WL. Ethnic differences in first-trimester thyroid reference intervals. Clin Chem. 2011;57(6):913-915.
  169. Korevaar TI, Medici M, de Rijke YB, Visser W, de Muinck Keizer-Schrama SM, Jaddoe VW, Hofman A, Ross HA, Visser WE, Hooijkaas H, Steegers EA, Tiemeier H, Bongers-Schokking JJ, Visser TJ, Peeters RP. Ethnic differences in maternal thyroid parameters during pregnancy: the Generation R study. J Clin Endocrinol Metab.2013;98(9):3678-3686.
  170. Medici M, Korevaar TI, Visser WE, Visser TJ, Peeters RP. Thyroid function in pregnancy: what is normal? Clin Chem. 2015;61(5):704-713.
  171. Antonangeli L, Maccherini D, Cavaliere R, Di Giulio C, Reinhardt B, Pinchera A, Aghini-Lombardi F. Comparison of two different doses of iodide in the prevention of gestational goiter in marginal iodine deficiency: a longitudinal study. Eur J Endocrinol. 2002;147(1):29-34.
  172. Moleti M, Di Bella B, Giorgianni G, Mancuso A, De Vivo A, Alibrandi A, Trimarchi F, Vermiglio F. Maternal thyroid function in different conditions of iodine nutrition in pregnant women exposed to mild-moderate iodine deficiency: an observational study. Clin Endocrinol (Oxf). 2011;74(6):762-768.
  173. Shi X, Han C, Li C, Mao J, Wang W, Xie X, Li C, Xu B, Meng T, Du J, Zhang S, Gao Z, Zhang X, Fan C, Shan Z, Teng W. Optimal and safe upper limits of iodine intake for early pregnancy in iodine-sufficient regions: a cross-sectional study of 7190 pregnant women in China. J Clin Endocrinol Metab. 2015;100(4):1630-1638.
  174. Männistö T, Hartikainen AL, Vääräsmäki M, Bloigu A, Surcel HM, Pouta A, Järvelin MR, Ruokonen A, Suvanto E. Smoking and early pregnancy thyroid hormone and anti-thyroid antibody levels in euthyroid mothers of the Northern Finland Birth Cohort 1986. Thyroid. 2012;22(9):944-950.
  175. Lem AJ, de Rijke YB, van Toor H, de Ridder MA, Visser TJ, Hokken-Koelega AC. Serum thyroid hormone levels in healthy children from birth to adulthood and in short children born small for gestational age. J Clin Endocrinol Metab. 2012;97(9):3170-3178.
  176. Chaler EA, Fiorenzano R, Chilelli C, Llinares V, Areny G, Herzovich V, Maceiras M, Lazzati JM, Mendioroz M, Rivarola MA, Belgorosky A. Age-specific thyroid hormone and thyrotropin reference intervals for a pediatric and adolescent population. Clin Chem Lab Med. 2012;50(5):885-890.
  177. La'ulu SL, Rasmussen KJ, Straseski JA. Pediatric Reference Intervals for Free Thyroxine and Free Triiodothyronine by Equilibrium Dialysis-Liquid Chromatography-Tandem Mass Spectrometry. J Clin Res Pediatr Endocrinol. 2016;8(1):26-31.
  178. Soldin SJ, Cheng LL, Lam LY, Werner A, Le AD, Soldin OP. Comparison of FT4 with log TSH on the Abbott Architect ci8200: Pediatric reference intervals for free thyroxine and thyroid-stimulating hormone. Clin Chim Acta.2010;411(3-4):250-252.
  179. Loh TP, Sethi SK, Metz MP. Paediatric reference interval and biological variation trends of thyrotropin (TSH) and free thyroxine (T4) in an Asian population. J Clin Pathol. 2015;68(8):642-647.
  180. Lauffer P, Heinen CA, Goorsenberg AWM, Malekzadeh A, Henneman P, Heijboer AC, Zwaveling-Soonawala N, Boelen A, van Trotsenburg ASP. Analysis of Serum Free Thyroxine Concentrations in Healthy Term Neonates Underlines Need for Local and Laboratory-Specific Reference Interval: A Systematic Review and Meta-Analysis of Individual Participant Data. Thyroid. 2024;34(5):559-565.
  181. Haugen BR. Drugs that suppress TSH or cause central hypothyroidism. Best practice & research Clinical endocrinology & metabolism. 2009;23(6):793-800.
  182. Koulouri O, Moran C, Halsall D, Chatterjee K, Gurnell M. Pitfalls in the measurement and interpretation of thyroid function tests. Best practice & research Clinical endocrinology & metabolism. 2013;27(6):745-762.
  183. Fliers E, Boelen A. An update on non-thyroidal illness syndrome. J Endocrinol Invest. 2021;44(8):1597-1607.
  184. Hamblin PS, SA. D, Mohr VS, Le Grand B, Lim CF, Tuxen DV, Topliss DJ, Stockigt JR. Relationship between thyrotropin and thyroxine changes during recovery from severe hypothyroxinemia of critical illness. J Clin Endocrinol Metab. 1986;62:717-722.
  185. Spencer CA, Eigen A, Shen D, Duda M, Qualls S, Weiss S, Nicoloff JT. Specificity of sensitive assays of thyrotropin (TSH) used to screen for thyroid disease in hospitalized patients. Clin Chem. 1987;33:1391-1396.
  186. de Vries EM, Fliers E, Boelen A. The molecular basis of the non-thyroidal illness syndrome. J Endocrinol.2015;225(3):R67-81.
  187. Moura Neto A, Zantut-Wittmann DE. Abnormalities of Thyroid Hormone Metabolism during Systemic Illness: The Low T3 Syndrome in Different Clinical Settings. Int J Endocrinol. 2016;2016:2157583.
  188. LoPresti J, Patil K. Assessing thyroid function in hospitalized patients. New York: Springer.
  189. Rotmensch S, Cole LA. False diagnosis and needless therapy of presumed malignant disease in women with false-positive human chorionic gonadotropin concentrations. Lancet. 2000;355(9205):712-715.
  190. Ballieux BE, Weijl NI, Gelderblom H, van Pelt J, Osanto S. False-positive serum human chorionic gonadotropin (HCG) in a male patient with a malignant germ cell tumor of the testis: a case report and review of the literature. Oncologist. 2008;13(11):1149-1154.
  191. Dimeski G. Interference testing. Clin Biochem Rev. 2008;29 Suppl 1(Suppl 1):S43-48.
  192. Henry N, Sebe P, Cussenot O. Inappropriate treatment of prostate cancer caused by heterophilic antibody interference. Nat Clin Pract Urol. 2009;6(3):164-167.
  193. Georges A, Charrié A, Raynaud S, Lombard C, Corcuff JB. Thyroxin overdose due to rheumatoid factor interferences in thyroid-stimulating hormone assays. Clin Chem Lab Med. 2011;49(5):873-875.
  194. Pishdad GR, Pishdad P, Pishdad R. The effect of glucocorticoid therapy on a falsely raised thyrotropin due to heterophilic antibodies. Thyroid. 2013;23(12):1657-1658.
  195. Favresse J, Burlacu MC, Maiter D, Gruson D. Interferences With Thyroid Function Immunoassays: Clinical Implications and Detection Algorithm. Endocr Rev. 2018;39(5):830-850.
  196. Ghazal K, Brabant S, Prie D, Piketty ML. Hormone Immunoassay Interference: A 2021 Update. Ann Lab Med.2022;42(1):3-23.
  197. Campi I, Dell'Acqua M, Stellaria Grassi E, Cristina Vigone M, Persani L. Unusual causes of hyperthyrotropinemia and differential diagnosis of primary hypothyroidism: a revised diagnostic flowchart. Eur Thyroid J. 2023;12(4).
  198. Ismail Y, Ismail AA, Ismail AA. Erroneous laboratory results: what clinicians need to know. Clin Med (Lond).2007;7(4):357-361.
  199. Sturgeon CM, Viljoen A. Analytical error and interference in immunoassay: minimizing risk. Ann Clin Biochem.2011;48(Pt 5):418-432.
  200. Gulbahar O, Konca Degertekin C, Akturk M, Yalcin MM, Kalan I, Atikeler GF, Altinova AE, Yetkin I, Arslan M, Toruner F. A Case With Immunoassay Interferences in the Measurement of Multiple Hormones. J Clin Endocrinol Metab. 2015;100(6):2147-2153.
  201. Massart C, Corcuff JB, Bordenave L. False-positive results corrected by the use of heterophilic antibody-blocking reagent in thyroglobulin immunoassays. Clin Chim Acta. 2008;388(1-2):211-213.
  202. King RI, Florkowski CM. How paraproteins can affect laboratory assays: spurious results and biological effects. Pathology. 2010;42(5):397-401.
  203. LeGatt DF, Higgins TN. Paraprotein interference in immunoassays. Ther Drug Monit. 2015;37(3):417.
  204. Mandal K, Ashorobi D, Lee A, Liao H, Kumar SC, Rosenthal DS. Factitiously Elevated Total Triiodothyronine in a Euthyroid Patient with Multiple Myeloma. Case Rep Endocrinol. 2021;2021:8479193.
  205. Sarkar R. A simple method to overcome paraproteinemic interferences in chemistry and immunoassays. Lab Med.2024.
  206. Sapin R, D'Herbomez M, Schlienger JL. Free thyroxine measured with equilibrium dialysis and nine immunoassays decreases in late pregnancy. Clin Lab. 2004;50(9-10):581-584.
  207. Anckaert E, Poppe K, Van Uytfanghe K, Schiettecatte J, Foulon W, Thienpont LM. FT4 immunoassays may display a pattern during pregnancy similar to the equilibrium dialysis ID-LC/tandem MS candidate reference measurement procedure in spite of susceptibility towards binding protein alterations. Clin Chim Acta. 2010;411(17-18):1348-1353.
  208. Guven S, Alver A, Mentese A, Ilhan FC, Calapoglu M, Unsal MA. The novel ischemia marker 'ischemia-modified albumin' is increased in normal pregnancies. Acta Obstet Gynecol Scand. 2009;88(4):479-482.
  209. Cameron SJ, Hagedorn JC, Sokoll LJ, Caturegli P, Ladenson PW. Dysprealbuminemic hyperthyroxinemia in a patient with hyperthyroid graves disease. Clin Chem. 2005;51(6):1065-1069.
  210. Sapin R, Gasser F, Schlienger JL. Familial dysalbuminemic hyperthyroxinemia and thyroid hormone autoantibodies: interference in current free thyroid hormone assays. Horm Res. 1996;45(3-5):139-141.
  211. Kragh-Hansen U, Galliano M, Minchiotti L. Clinical, Genetic, and Protein Structural Aspects of Familial Dysalbuminemic Hyperthyroxinemia and Hypertriiodothyroninemia. Front Endocrinol (Lausanne). 2017;8:297.
  212. Refetoff S, Scherberg NH, Yuan C, Wu W, Wu Z, McPhaul MJ. Free Thyroxine Concentrations in Sera of Individuals with Familial Dysalbuminemic Hyperthyroxinemia: A Comparison of Three Methods of Measurement. Thyroid. 2020;30(1):37-41.
  213. DeCosimo DR, Fang SL, Braverman LE. Prevalence of familial dysalbuminemic hyperthyroxinemia in Hispanics. Ann Intern Med. 1987;107(5):780-781.
  214. Giovanella L, Keller F, Ceriani L, Tozzoli R. Heterophile antibodies may falsely increase or decrease thyroglobulin measurement in patients with differentiated thyroid carcinoma. Clin Chem Lab Med. 2009;47(8):952-954.
  215. Bolstad N, Warren DJ, Nustad K. Heterophilic antibody interference in immunometric assays. Best practice & research Clinical endocrinology & metabolism. 2013;27(5):647-661.
  216. Weber TH, Käpyaho KI, Tanner P. Endogenous interference in immunoassays in clinical chemistry. A review. Scand J Clin Lab Invest Suppl. 1990;201:77-82.
  217. Levinson SS, Miller JJ. Towards a better understanding of heterophile (and the like) antibody interference with modern immunoassays. Clin Chim Acta. 2002;325(1-2):1-15.
  218. Bjerner J, Olsen KH, Børmer OP, Nustad K. Human heterophilic antibodies display specificity for murine IgG subclasses. Clin Biochem. 2005;38(5):465-472.
  219. Ellis MJ, Livesey JH. Techniques for identifying heterophile antibody interference are assay specific: study of seven analytes on two automated immunoassay analyzers. Clin Chem. 2005;51(3):639-641.
  220. Sun HG, Xu XP, He LQ. Pseudo Elevation of TSH and ACTH Caused by Heterophilic Antibodies: a Case Report and Literature Review. Clin Lab. 2024;70(6).
  221. Astarita G, Gutiérrez S, Kogovsek N, Mormandi E, Otero P, Calabrese C, Alcaraz G, Vázquez A, Abalovich M. False positive in the measurement of thyroglobulin induced by rheumatoid factor. Clin Chim Acta. 2015;447:43-46.
  222. Mongolu S, Armston AE, Mozley E, Nasruddin A. Heterophilic antibody interference affecting multiple hormone assays: Is it due to rheumatoid factor? Scand J Clin Lab Invest. 2016;76(3):240-242.
  223. Preissner CM, O'Kane DJ, Singh RJ, Morris JC, Grebe SKG. Phantoms in the assay tube; Heterophile antibody interferences in serum thyroglobulin assays. J Clin Endocrinol Metab. 2003;88:3069-3074.
  224. Ghosh S, Howlett M, Boag D, Malik I, Collier A. Interference in free thyroxine immunoassay. Eur J Intern Med.2008;19(3):221-222.
  225. Preissner CM, Dodge LA, O'Kane DJ, Singh RJ, Grebe SK. Prevalence of heterophilic antibody interference in eight automated tumor marker immunoassays. Clin Chem. 2005;51(1):208-210.
  226. Marks V. False-positive immunoassay results: a multicenter survey of erroneous immunoassay results from assays of 74 analytes in 10 donors from 66 laboratories in seven countries. Clin Chem. 2002;48(11):2008-2016.
  227. Koshida S, Asanuma K, Kuribayashi K, Goto M, Tsuji N, Kobayashi D, Tanaka M, Watanabe N. Prevalence of human anti-mouse antibodies (HAMAs) in routine examinations. Clin Chim Acta. 2010;411(5-6):391-394.
  228. Verburg FA, Wäschle K, Reiners C, Giovanella L, Lentjes EG. Heterophile antibodies rarely influence the measurement of thyroglobulin and thyroglobulin antibodies in differentiated thyroid cancer patients. Horm Metab Res. 2010;42(10):736-739.
  229. Nakano K, Yasuda K, Shibuya H, Moriyama T, Kahata K, Shimizu C. Transient human anti-mouse antibody generated with immune enhancement in a carbohydrate antigen 19-9 immunoassay after surgical resection of recurrent cancer. Ann Clin Biochem. 2016;53(Pt 4):511-515.
  230. Gessl A, Blueml S, Bieglmayer C, Marculescu R. Anti-ruthenium antibodies mimic macro-TSH in electrochemiluminescent immunoassay. Clin Chem Lab Med. 2014;52(11):1589-1594.
  231. Rulander NJ, Cardamone D, Senior M, Snyder PJ, Master SR. Interference from anti-streptavidin antibody. Arch Pathol Lab Med. 2013;137(8):1141-1146.
  232. Dahll LK, Haave EM, Dahl SR, Aas FE, Thorsby PM. Endogenous anti-streptavidin antibodies causing erroneous laboratory results more common than anticipated. Scand J Clin Lab Invest. 2021;81(2):92-103.
  233. Vos MJ, Rondeel JMM, Mijnhout GS, Endert E. Immunoassay interference caused by heterophilic antibodies interacting with biotin. Clin Chem Lab Med. 2017;55(6):e122-e126.
  234. Ylli D, Soldin SJ, Stolze B, Wei B, Nigussie G, Nguyen H, Mendu DR, Mete M, Wu D, Gomes-Lima CJ, Klubo-Gwiezdzinska J, Burman KD, Wartofsky L. Biotin Interference in Assays for Thyroid Hormones, Thyrotropin and Thyroglobulin. Thyroid. 2021;31(8):1160-1170.
  235. McBride M, Dasgupta A. Technical Note: Approach to Identify and Eliminate Biotin Interference in Thyroid Function Tests Using Beckman DXI 800 Analyzer by Taking Advantage of Assay Harmonization with Alinity i Analyzer. Ann Clin Lab Sci. 2023;53(3):482-484.
  236. McBride M, Dasgupta A. Significant Interference of Biotin in Thyroid Function Tests Using Beckman Analyzer: How to Identify such Interferences? Ann Clin Lab Sci. 2023;53(1):130-133.
  237. Countryman B, McBride M, McCracken T, Dasgupta A. Effect of biotin on currently used Beckman thyroglobulin assay and newly reformulated thyroglobulin assay not affected by biotin. Am J Clin Pathol. 2024.
  238. Tang M, Meng X, Ni J, Liu X, Wang X, Li Y, Chai Y, Kou C, Zhang L, Zhang H. The interference of anti-TSH autoantibody on clinical TSH detection. Front Endocrinol (Lausanne). 2024;15:1289923.
  239. Hattori N, Ishihara T, Matsuoka N, Saito T, Shimatsu A. Anti-Thyrotropin Autoantibodies in Patients with Macro-Thyrotropin and Long-Term Changes in Macro-Thyrotropin and Serum Thyrotropin Levels. Thyroid.2017;27(2):138-146.
  240. Chiardi I, Rotondi M, Cantù M, Keller F, Trimboli P. Macro-TSH: An Uncommon Explanation for Persistent TSH Elevation That Thyroidologists Have to Keep in Mind. J Pers Med. 2023;13(10).
  241. Al-Bahadili H, Powers Carson J, Markov A, Jasim S. The Complex Web of Interferences with Thyroid Function Tests. Endocr Pract. 2025;31(1):92-101.
  242. Gangemi S, Saitta S, Lombardo G, Patafi M, Benvenga S. Serum thyroid autoantibodies in patients with idiopathic either acute or chronic urticaria. J Endocrinol Invest. 2009;32(2):107-110.
  243. Colucci R, Lotti F, Dragoni F, Arunachalam M, Lotti T, Benvenga S, Moretti S. High prevalence of circulating autoantibodies against thyroid hormones in vitiligo and correlation with clinical and historical parameters of patients. Br J Dermatol. 2014;171(4):786-798.
  244. Hattori N, Aisaka K, Yamada A, Matsuda T, Shimatsu A. Prevalence and Pathogenesis of Macro-Thyrotropin in Neonates: Analysis of Umbilical Cord Blood from 939 Neonates and Their Mothers. Thyroid. 2023;33(1):45-52.
  245. Newman JD, Bergman PB, Doery JC, Balazs ND. Factitious increase in thyrotropin in a neonate caused by a maternally transmitted interfering substance. Clin Chem. 2006;52(3):541-542.
  246. Benvenga S, Ordookhani A, Pearce EN, Tonacchera M, Azizi F, Braverman LE. Detection of circulating autoantibodies against thyroid hormones in an infant with permanent congenital hypothyroidism and her twin with transient congenital hypothyroidism: possible contribution of thyroid hormone autoantibodies to neonatal and infant hypothyroidism. J Pediatr Endocrinol Metab. 2008;21(10):1011-1020.
  247. Rix M, Laurberg P, Porzig C, Kristensen SR. Elevated thyroid-stimulating hormone level in a euthyroid neonate caused by macro thyrotropin-IgG complex. Acta Paediatr. 2011;100(9):e135-137.
  248. Ni J, Long Y, Zhang L, Yang Q, Kou C, Li S, Li J, Zhang H. High prevalence of thyroid hormone autoantibody and low rate of thyroid hormone detection interference. J Clin Lab Anal. 2022;36(1):e24124.
  249. Giovanella L, Dorizzi RM, Keller F. A hypothyroid patient with increased free thyroid hormones. Clin Chem Lab Med. 2008;46(11):1650-1651.
  250. van der Watt G, Haarburger D, Berman P. Euthyroid patient with elevated serum free thyroxine. Clin Chem.2008;54(7):1239-1241.
  251. Nicoloff J SC. Use and misuse of the sensitive thyrotropin assays. J Clin Endocrinol Metab. 1990;71:553-558.
  252. Zhang X, Higuchi T, Tomonaga H, Lamid-Ochir O, Bhattarai A, Nguyen-Thu H, Taketomi-Takahashi A, Hirasawa H, Tsushima Y. Early detection of progressive disease using thyroglobulin doubling-time in metastatic differentiated thyroid carcinoma treated with radioactive iodine. Nucl Med Commun. 2020;41(4):350-355.
  253. Biondi B. TSH Suppression in Differentiated Thyroid Cancer Patients. Still More Questions than Answers after 30 Years. Thyroid. 2024;34(6):671-673.
  254. Hollowell JG, Staehling NW, Hannon WH, Flanders WD, Gunter EW, Spencer CA, Braverman LE. Serum thyrotropin, thyroxine, and thyroid antibodies in the United States population (1988 to 1994): NHANES III. J Clin Endocrinol Metab. 2002;87:489-499.
  255. De Grande LA, Van Uytfanghe K, Thienpont LM. A Fresh Look at the Relationship between TSH and Free Thyroxine in Cross-Sectional Data. Eur Thyroid J. 2015;4(1):69-70.
  256. Spencer CA, Nicoloff JT. Improved radioimmunoassay for human TSH. Clin Chim Acta. 1980;108:415-424.
  257. Odell WD, Wilber JF, Paul WE. Radioimmunoassay of thyrotropin in human serum. J Clin Endocrinol Metab.1965;25(9):1179-1188.
  258. Hershman J, Pittman J. Utility of the radioimmunoassay of serum thyrotrophin in man Ann Intern Med.1971;74:481-490.
  259. Haigler E, Pittman J, Hershman J, Baugh C. Direct evaluation of pituitary Thyrotropin reserve utilizing synthetic Thyrotropin Releasing Hormone. J Clin Endocrinol Metab. 1971;33:573-581.
  260. Hall R, Ormston B, Besser G, Cryer R. The Thyrotropin-Releasing Hormone test in diseases of the pituitary and hypothalamus. Lancet. 1972;1:7754-7765.
  261. Spencer CA, Schwarzbein D, Guttler RB, LoPresti JS, Nicoloff JT. TRH stimulation test responses employing third and fourth generation TSH assays. J Clin Endocrinol Metab. 1993;76:494-498.
  262. Miles L, CN H. Labeled antibodies and immunological assay systems. Nature. 1968;219:186-189.
  263. Köhler G, Milstein C. Continuous cultures of fused cells secreting antibody of predefined specificity. Nature.1975;256(5517):495-497.
  264. García de la Rosa I, Feal Carballo S, Almenares Guasch PR, Segura González MT, Pupo Infante M, Frómeta Suárez A, Martínez Beltrán L, Quintana Guerra JM, Lafita Delfino Y, Morejón García G, Pérez Morás PL, Hernández Pérez L, Castells Martínez EM. Generation and characterization of monoclonal antibodies against thyroid-stimulating hormone for newborn screening of congenital hypothyroidism. J Immunoassay Immunochem.2019;40(4):350-366.
  265. Seth J, Kellett H, Caldwell G, Sweeting V, Beckett G, Gow S, Toft A. A sensitive immunoradiometric assay for serum thyroid stimulating hormone: a replacement for the thyrotropin releasing test. Br Med J. 1984;289:1334-1336.
  266. Spencer C, Schwarzbein D, Guttler R, LoPresti J, Nicoloff J. TRH stimulation test responses employing 3rd. and 4th. generation TSH assay technology. J Clin Endocrinol Metab. 1993;76:494-499.
  267. Spencer C, Takeuchi M, Kazarosyan M. Current status and performance goals for serum thyrotropin (TSH) assays. Clinical Chemistry. 1996;42(1):141-145.
  268. Taimela E, R T, P K, Nuutila P FJ, S T, SL K, M V, K I. Ability of two new thyrotropin (TSH) assays to separate hyperthyroid patients from euthyroid patients with low TSH. Clin Chem. 1994;40:101-105.
  269. Moussallieh FM, Ranaivosoa MK, Romain S, Reix N. Analytical validation of two second generation thyroglobulin immunoassays (Roche and Thermo Fisher). Clin Chem Lab Med. 2018;56(12):e302-e305.
  270. Owen WE, Gantzer ML, Lyons JM, Rockwood AL, Roberts WL. Functional sensitivity of seven automated thyroid stimulating hormone immunoassays. Clin Chim Acta. 2011;412(23-24):2336-2339.
  271. Giovanella L, Feldt-Rasmussen U, Verburg FA, Grebe SK, Plebani M, Clark PM. Thyroglobulin measurement by highly sensitive assays: focus on laboratory challenges. Clin Chem Lab Med. 2015;53(9):1301-1314.
  272. Rigo RB, Panyella MG, Bartolomé LR, Ramos PA, Soria PR, Navarro MA. Variations observed for insulin concentrations in an interlaboratory quality control program may be due to interferences between reagents and the matrix of the control materials. Clin Biochem. 2007;40(13-14):1088-1091.
  273. Armbruster DA, Pry T. Limit of blank, limit of detection and limit of quantitation. Clin Biochem Rev. 2008;29 Suppl 1(Suppl 1):S49-52.
  274. Spencer C, LoPresti J, Fatemi S. How sensitive (second-generation) thyroglobulin measurement is changing paradigms for monitoring patients with differentiated thyroid cancer, in the absence or presence of thyroglobulin autoantibodies. Current opinion in endocrinology, diabetes, and obesity. 2014;21(5):394-404.
  275. Rawlins ML, Roberts WL. Performance characteristics of six third-generation assays for thyroid-stimulating hormone. Clin Chem. 2004;50(12):2338-2344.
  276. Schaaf L, Theodoropoulou M, Gregori A, Leiprecht A, Trojan J, Klostermeier J, Stalla GK. Thyrotropin-releasing hormone time-dependently influences thyrotropin microheterogeneity--an in vivo study in euthyroidism. J Endocrinol. 2000;166(1):137-143.
  277. Donadio S, Morelle W, Pascual A, Romi-Lebrun R, Michalski JC, Ronin C. Both core and terminal glycosylation alter epitope expression in thyrotropin and introduce discordances in hormone measurements. Clin Chem Lab Med. 2005;43(5):519-530.
  278. Estrada JM, Soldin D, Buckey TM, Burman KD, Soldin OP. Thyrotropin isoforms: implications for thyrotropin analysis and clinical practice. Thyroid. 2014;24(3):411-423.
  279. Persani L. Hypothalamic thyrotropin-releasing hormone and thyrotropin biological activity. Thyroid. 1998;8(10):941-946.
  280. Ikegami K, Liao XH, Hoshino Y, Ono H, Ota W, Ito Y, Nishiwaki-Ohkawa T, Sato C, Kitajima K, Iigo M, Shigeyoshi Y, Yamada M, Murata Y, Refetoff S, Yoshimura T. Tissue-specific posttranslational modification allows functional targeting of thyrotropin. Cell Rep. 2014;9(3):801-810.
  281. Persani L, C A, P B-P. Dissociation between immunological and buiological activities of circulating TSH. Exp Clin Endocrinol. 1994;102:38-48.
  282. Oliveira JH, Barbosa ER, Kasamatsu T, Abucham J. Evidence for thyroid hormone as a positive regulator of serum thyrotropin bioactivity. J Clin Endocrinol Metab. 2007;92(8):3108-3113.
  283. Yoshihara A, Noh JY, Watanabe N, Iwaku K, Kunii Y, Ohye H, Suzuki M, Matsumoto M, Suzuki N, Sugino K, Thienpont LM, Hishinuma A, Ito K. Seasonal Changes in Serum Thyrotropin Concentrations Observed from Big Data Obtained During Six Consecutive Years from 2010 to 2015 at a Single Hospital in Japan. Thyroid.2018;28(4):429-436.
  284. Persani L, Asteria C, Tonacchera M, Vitti P, Krishna V, Chatterjee K, Beck-Peccoz P. Evidence for the secretion of thyrotropin with enhanced bioactivity in syndromes of thyroid hormone resistance. J Clin Endocrinol Metab.1994;78:1035-1039.
  285. Persani L, Ferretti E, Borgato S, Faglia G, Beck-Peccoz P. Circulating thyrotropin bioactivity in sporadic central hypothyroidism. J Clin Endocrinol Metab. 2000;85(10):3631-3635.
  286. Pappa T, Johannesen J, Scherberg N, Torrent M, Dumitrescu A, Refetoff S. A TSHβ Variant with Impaired Immunoreactivity but Intact Biological Activity and Its Clinical Implications. Thyroid. 2015;25(8):869-876.
  287. Andersen S, Pedersen KM, Bruun NH, Laurberg P. Narrow individual variations in serum T4 and T3 in normal subjects: a clue to the understanding of subclinical thyroid disease. J Clin Endocrinol Metab. 2002;87:1068-1072.
  288. Boas M, Forman JL, Juul A, Feldt-Rasmussen U, Skakkebaek NE, Hilsted L, Chellakooty M, Larsen T, Larsen JF, Petersen JH, Main KM. Narrow intra-individual variation of maternal thyroid function in pregnancy based on a longitudinal study on 132 women. Eur J Endocrinol. 2009;161(6):903-910.
  289. Meikle AW, Stringham JD, Woodward MG, Nelson JC. Hereditary and environmental influences on the variation of thyroid hormones in normal male twins. J Clin Endocrinol Metab1. 1988;66:588-592.
  290. Hansen PS, Brix TH, Sørensen TI, Kyvik KO, Hegedüs L. Major genetic influence on the regulation of the pituitary-thyroid axis: a study of healthy Danish twins. J Clin Endocrinol Metab. 2004;89(3):1181-1187.
  291. Panicker V, Wilson SG, Spector TD, Brown SJ, Falchi M, Richards JB, Surdulescu GL, Lim EM, Fletcher SJ, Walsh JP. Heritability of serum TSH, free T4 and free T3 concentrations: a study of a large UK twin cohort. Clin Endocrinol (Oxf). 2008;68(4):652-659.
  292. Arnaud-Lopez L, Usala G, Ceresini G, Mitchell BD, Pilia MG, Piras MG, Sestu N, Maschio A, Busonero F, Albai G, Dei M, Lai S, Mulas A, Crisponi L, Tanaka T, Bandinelli S, Guralnik JM, Loi A, Balaci L, Sole G, Prinzis A, Mariotti S, Shuldiner AR, Cao A, Schlessinger D, Uda M, Abecasis GR, Nagaraja R, Sanna S, Naitza S. Phosphodiesterase 8B gene variants are associated with serum TSH levels and thyroid function. American journal of human genetics. 2008;82(6):1270-1280.
  293. Larsen CC, Karaviti LP, Seghers V, Weiss RE, Refetoff S, Dumitrescu AM. A new family with an activating mutation (G431S) in the TSH receptor gene: a phenotype discussion and review of the literature. Int J Pediatr Endocrinol. 2014;2014(1):23.
  294. De Marco G, Agretti P, Camilot M, Teofoli F, Tatò L, Vitti P, Pinchera A, Tonacchera M. Functional studies of new TSH receptor (TSHr) mutations identified in patients affected by hypothyroidism or isolated hyperthyrotrophinaemia. Clin Endocrinol (Oxf). 2009;70(2):335-338.
  295. Alberti L, Proverbio MC, Costagliola S, Romoli R, Boldrighini B, Vigone MC, Weber G, Chiumello G, Beck-Peccoz P, Persani L. Germline mutations of TSH receptor gene as cause of nonautoimmune subclinical hypothyroidism. J Clin Endocrinol Metab. 2002;87(6):2549-2555.
  296. van de Ven AC, Netea-Maier RT, Medici M, Sweep FC, Ross HA, Hofman A, de Graaf J, Kiemeney LA, Hermus AR, Peeters RP, Visser TJ, den Heijer M. Underestimation of effect of thyroid function parameters on morbidity and mortality due to intra-individual variation. J Clin Endocrinol Metab. 2011;96(12):E2014-2017.
  297. Jonklaas J. TSH Reference Intervals: Their Importance and Complexity. Thyroid. 2024;34(8):957-959.
  298. Kuś A, Sterenborg R, Haug EB, Galesloot TE, Visser WE, Smit JWA, Bednarczuk T, Peeters RP, Åsvold BO, Teumer A, Medici M. Towards Personalized TSH Reference Ranges: A Genetic and Population-Based Approach in Three Independent Cohorts. Thyroid. 2024;34(8):969-979.
  299. Biondi B, Cooper DS. The clinical significance of subclinical thyroid dysfunction. Endocr Rev. 2008;29(1):76-131.
  300. Coene KL, Demir AY, Broeren MA, Verschuure P, Lentjes EG, Boer AK. Subclinical hypothyroidism: a 'laboratory-induced' condition? Eur J Endocrinol. 2015;173(4):499-505.
  301. Stöckl D, Van Uytfanghe K, Van Aelst S, Thienpont LM. A statistical basis for harmonization of thyroid stimulating hormone immunoassays using a robust factor analysis model. Clin Chem Lab Med. 2014;52(7):965-972.
  302. Strich D, Karavani G, Levin S, Edri S, Gillis D. Normal limits for serum thyrotropin vary greatly depending on method. Clin Endocrinol (Oxf). 2016;85(1):110-115.
  303. Solberg HE. The IFCC recommendation on estimation of reference intervals. The RefVal program. Clin Chem Lab Med. 2004;42(7):710-714.
  304. Kahapola-Arachchige KM, Hadlow N, Wardrop R, Lim EM, Walsh JP. Age-specific TSH reference ranges have minimal impact on the diagnosis of thyroid dysfunction. Clin Endocrinol (Oxf). 2012;77(5):773-779.
  305. Fan L, Bu Y, Chen S, Wang S, Zhang W, He Y, Sun D. Iodine nutritional status and its associations with thyroid function of pregnant women and neonatal TSH. Front Endocrinol (Lausanne). 2024;15:1394306.
  306. Jensen E, Hyltoft Petersen P, Blaabjerg O, Hansen PS, Brix TH, Kyvik KO, Hegedüs L. Establishment of a serum thyroid stimulating hormone (TSH) reference interval in healthy adults. The importance of environmental factors, including thyroid antibodies. Clin Chem Lab Med. 2004;42(7):824-832.
  307. Spencer CA, Hollowell JG, Kazarosyan M, Braverman LE. National Health and Nutrition Examination Survey III thyroid-stimulating hormone (TSH)-thyroperoxidase antibody relationships demonstrate that TSH upper reference limits may be skewed by occult thyroid dysfunction. J Clin Endocrinol Metab. 2007;92(11):4236-4240.
  308. Surks MI, Hollowell JG. Age-specific distribution of serum thyrotropin and antithyroid antibodies in the US population: implications for the prevalence of subclinical hypothyroidism. J Clin Endocrinol Metab.2007;92(12):4575-4582.
  309. Surks MI, Boucai L. Age- and race-based serum thyrotropin reference limits. J Clin Endocrinol Metab.2010;95(2):496-502.
  310. Sletner L, Jenum AK, Qvigstad E, Hammerstad SS. Thyroid Function During Pregnancy in A Multiethnic Population in Norway. J Endocr Soc. 2021;5(7):bvab078.
  311. Vejbjerg P, Knudsen N, Perrild H, Carlé A, Laurberg P, Pedersen IB, Rasmussen LB, Ovesen L, Jørgensen T. The impact of smoking on thyroid volume and function in relation to a shift towards iodine sufficiency. Eur J Epidemiol.2008;23(6):423-429.
  312. Ittermann T, Khattak RM, Nauck M, Cordova CM, Völzke H. Shift of the TSH reference range with improved iodine supply in Northeast Germany. Eur J Endocrinol. 2015;172(3):261-267.
  313. Nyrnes A, Jorde R, Sundsfjord J. Serum TSH is positively associated with BMI. Int J Obes (Lond). 2006;30(1):100-105.
  314. Duntas LH, Biondi B. The interconnections between obesity, thyroid function, and autoimmunity: the multifold role of leptin. Thyroid. 2013;23(6):646-653.
  315. Soldin OP, Goughenour BE, Gilbert SZ, Landy HJ, Soldin SJ. Thyroid hormone levels associated with active and passive cigarette smoking. Thyroid. 2009;19(8):817-823.
  316. Raverot V, Bonjour M, Abeillon du Payrat J, Perrin P, Roucher-Boulez F, Lasolle H, Subtil F, Borson-Chazot F. Age- and Sex-Specific TSH Upper-Limit Reference Intervals in the General French Population: There Is a Need to Adjust Our Actual Practices. J Clin Med. 2020;9(3).
  317. Meisinger C, Ittermann T, Wallaschofski H, Heier M, Below H, Kramer A, Döring A, Nauck M, Völzke H. Geographic variations in the frequency of thyroid disorders and thyroid peroxidase antibodies in persons without former thyroid disease within Germany. Eur J Endocrinol. 2012;167(3):363-371.
  318. Berghout A, Wiersinga WM, Smits NJ, touber JL. Interrelationships between age, thyroid volume, thyroid nodularity, and thyroid function in patients with sporadic nontoxic goiter. Amer J Med. 1990;89:602-608.
  319. Atzmon G, Barzilai N, Hollowell JG, Surks MI, Gabriely I. Extreme longevity is associated with increased serum thyrotropin. J Clin Endocrinol Metab. 2009;94(4):1251-1254.
  320. Akirov A, Gimbel H, Grossman A, Shochat T, Shimon I. Elevated TSH in adults treated for hypothyroidism is associated with increased mortality. Eur J Endocrinol. 2017;176(1):57-66.
  321. Somwaru LL, Rariy CM, Arnold AM, Cappola AR. The natural history of subclinical hypothyroidism in the elderly: the cardiovascular health study. J Clin Endocrinol Metab. 2012;97(6):1962-1969.
  322. Kapelari K, Kirchlechner C, Högler W, Schweitzer K, Virgolini I, Moncayo R. Pediatric reference intervals for thyroid hormone levels from birth to adulthood: a retrospective study. BMC Endocr Disord. 2008;8:15.
  323. Verburg FA, Kirchgässner C, Hebestreit H, Steigerwald U, Lentjes EG, Ergezinger K, Grelle I, Reiners C, Luster M. Reference ranges for analytes of thyroid function in children. Horm Metab Res. 2011;43(6):422-426.
  324. Goichot B, Sapin R, Schlienger JL. Subclinical hyperthyroidism: considerations in defining the lower limit of the thyrotropin reference interval. Clin Chem. 2009;55(3):420-424.
  325. Biondi B, Cooper DS. Subclinical Hyperthyroidism. N Engl J Med. 2018;379(15):1485-1486.
  326. Kim HJ, McLeod DSA. Subclinical Hyperthyroidism and Cardiovascular Disease. Thyroid. 2024.
  327. Canaris GJ, Manowitz NR, Mayor G, Ridgway EC. The Colorado thyroid disease prevalence study. Arch Intern Med. 2000;160:526-534.
  328. Surks MI, Ortiz E, Daniels GH, Sawin CT, Col NF, Cobin RH, Franklyn JA, Hershman JM, Burman KD, Denke MA, Gorman C, Cooper RS, Weissman NJ. Subclinical thyroid disease: scientific review and guidelines for diagnosis and management. Jama. 2004;291(2):228-238.
  329. Efthymiadis A, Henry M, Spinos D, Bourlaki M, Tsikopoulos A, Bourazana A, Bastounis A, Tsikopoulos K. Adequacy of thyroid hormone replacement for people with hypothyroidism in real-world settings: A systematic review and meta-analysis of observational studies. Clin Endocrinol (Oxf). 2024;100(5):488-501.
  330. Yu OHY, Filliter C, Filion KB, Platt RW, Grad R, Renoux C. Levothyroxine Treatment of Subclinical Hypothyroidism and the Risk of Adverse Cardiovascular Events. Thyroid. 2024;34(10):1214-1224.
  331. Blum MR, Bauer DC, Collet TH, Fink HA, Cappola AR, da Costa BR, Wirth CD, Peeters RP, Åsvold BO, den Elzen WP, Luben RN, Imaizumi M, Bremner AP, Gogakos A, Eastell R, Kearney PM, Strotmeyer ES, Wallace ER, Hoff M, Ceresini G, Rivadeneira F, Uitterlinden AG, Stott DJ, Westendorp RG, Khaw KT, Langhammer A, Ferrucci L, Gussekloo J, Williams GR, Walsh JP, Jüni P, Aujesky D, Rodondi N. Subclinical thyroid dysfunction and fracture risk: a meta-analysis. Jama. 2015;313(20):2055-2065.
  332. Collet TH, Gussekloo J, Bauer DC, den Elzen WP, Cappola AR, Balmer P, Iervasi G, Åsvold BO, Sgarbi JA, Völzke H, Gencer B, Maciel RM, Molinaro S, Bremner A, Luben RN, Maisonneuve P, Cornuz J, Newman AB, Khaw KT, Westendorp RG, Franklyn JA, Vittinghoff E, Walsh JP, Rodondi N. Subclinical hyperthyroidism and the risk of coronary heart disease and mortality. Arch Intern Med. 2012;172(10):799-809.
  333. Taylor PN, Razvi S, Pearce SH, Dayan CM. Clinical review: A review of the clinical consequences of variation in thyroid function within the reference range. J Clin Endocrinol Metab. 2013;98(9):3562-3571.
  334. Jay M, Huan P, Cliffe N, Rakoff J, Morris E, Kavsak P, Luthra M, Punthakee Z. Treatment of Subclinical Hyperthyroidism and Incident Atrial Fibrillation. Clin Endocrinol (Oxf). 2024.
  335. Zhang X, Zhang G, Wang S, Jin J, Zhang S, Teng X. The change in thyroid function categories with time in patients with subclinical hypothyroidism: a systematic review and meta-analysis. BMC Endocr Disord.2024;24(1):224.
  336. McQuade C, Skugor M, Brennan DM, Hoar B, Stevenson C, Hoogwerf BJ. Hypothyroidism and moderate subclinical hypothyroidism are associated with increased all-cause mortality independent of coronary heart disease risk factors: a PreCIS database study. Thyroid. 2011;21(8):837-843.
  337. Javed Z, Sathyapalan T. Levothyroxine treatment of mild subclinical hypothyroidism: a review of potential risks and benefits. Ther Adv Endocrinol Metab. 2016;7(1):12-23.
  338. Helfand M. Screening for subclinical thyroid dysfunction in nonpregnant adults: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med. 2004;140(2):128-141.
  339. Åsvold BO, Vatten LJ, Midthjell K, Bjøro T. Serum TSH within the reference range as a predictor of future hypothyroidism and hyperthyroidism: 11-year follow-up of the HUNT Study in Norway. J Clin Endocrinol Metab.2012;97(1):93-99.
  340. Åsvold BO, Vatten LJ, Bjøro T, Bauer DC, Bremner A, Cappola AR, Ceresini G, den Elzen WP, Ferrucci L, Franco OH, Franklyn JA, Gussekloo J, Iervasi G, Imaizumi M, Kearney PM, Khaw KT, Maciel RM, Newman AB, Peeters RP, Psaty BM, Razvi S, Sgarbi JA, Stott DJ, Trompet S, Vanderpump MP, Völzke H, Walsh JP, Westendorp RG, Rodondi N. Thyroid function within the normal range and risk of coronary heart disease: an individual participant data analysis of 14 cohorts. JAMA Intern Med. 2015;175(6):1037-1047.
  341. Asvold BO, Bjøro T, Vatten LJ. Association of thyroid function with estimated glomerular filtration rate in a population-based study: the HUNT study. Eur J Endocrinol. 2011;164(1):101-105.
  342. Cappola AR, Ladenson PW. Hypothyroidism and atherosclerosis. J Clin Endocrinol Metab. 2003;88(6):2438-2444.
  343. Ochs N, Auer R, Bauer DC, Nanchen D, Gussekloo J, Cornuz J, Rodondi N. Meta-analysis: subclinical thyroid dysfunction and the risk for coronary heart disease and mortality. Ann Intern Med. 2008;148(11):832-845.
  344. Ittermann T, Lorbeer R, Dörr M, Schneider T, Quadrat A, Heßelbarth L, Wenzel M, Lehmphul I, Köhrle J, Mensel B, Völzke H. High levels of thyroid-stimulating hormone are associated with aortic wall thickness in the general population. Eur Radiol. 2016;26(12):4490-4496.
  345. Andersen MN, Olsen AS, Madsen JC, Kristensen SL, Faber J, Torp-Pedersen C, Gislason GH, Selmer C. Long-Term Outcome in Levothyroxine Treated Patients With Subclinical Hypothyroidism and Concomitant Heart Disease. J Clin Endocrinol Metab. 2016;101(11):4170-4177.
  346. Baretella O, Blum MR, Abolhassani N, Alwan H, Wildisen L, Del Giovane C, Tal K, Moutzouri E, Åsvold BO, Cappola AR, Gussekloo J, Iacoviello M, Iervasi G, Imaizumi M, Weiler S, Razvi S, Sgarbi JA, Völzke H, Brown SJ, Walsh JP, Vaes B, Yeap BB, Dullaart RPF, Bakker SJL, Kavousi M, Ceresini G, Ferrucci L, Aujesky D, Peeters RP, Bauer DC, Feller M, Rodondi N. Associations between subclinical thyroid dysfunction and cardiovascular risk factors according to age and sex. J Clin Endocrinol Metab. 2024.
  347. Iqbal A, Jorde R, Figenschau Y. Serum lipid levels in relation to serum thyroid-stimulating hormone and the effect of thyroxine treatment on serum lipid levels in subjects with subclinical hypothyroidism: the Tromsø Study. J Intern Med. 2006;260(1):53-61.
  348. Asvold BO, Bjøro T, Vatten LJ. Associations of TSH levels within the reference range with future blood pressure and lipid concentrations: 11-year follow-up of the HUNT study. Eur J Endocrinol. 2013;169(1):73-82.
  349. Casey BM, Dashe JS, Wells CE, McIntire DD, Leveno KJ, Cunningham FG. Subclinical hyperthyroidism and pregnancy outcomes. Obstet Gynecol. 2006;107(2 Pt 1):337-341.
  350. Ajmani SN, Aggarwal D, Bhatia P, Sharma M, Sarabhai V, Paul M. Prevalence of overt and subclinical thyroid dysfunction among pregnant women and its effect on maternal and fetal outcome. J Obstet Gynaecol India.2014;64(2):105-110.
  351. Debbarma R, Gothwal M, Singh P, Yadav G, Purohit P, Ghuman NK, Gupta N. The Spectrum of Thyroid Dysfunction During Pregnancy and Fetomaternal Outcome, A Study from the Premier Institute of Western India. Indian J Community Med. 2024;49(5):734-738.
  352. Zaccarelli-Marino MA, Dsouki NA, de Carvalho RP, Maciel RMB. Evaluation of Anti-Thyroperoxidase (A-TPO) and Anti-Thyroglobulin (A-Tg) Antibodies in Women with Previous Hashimoto's Thyroiditis during and after Pregnancy. J Clin Med. 2024;13(15).
  353. Tong Z, Xiaowen Z, Baomin C, Aihua L, Yingying Z, Weiping T, Zhongyan S. The Effect of Subclinical Maternal Thyroid Dysfunction and Autoimmunity on Intrauterine Growth Restriction: A Systematic Review and Meta-Analysis. Medicine (Baltimore). 2016;95(19):e3677.
  354. Iijima S. Pitfalls in the assessment of gestational transient thyrotoxicosis. Gynecol Endocrinol. 2020;36(8):662-667.
  355. Brabant G, Peeters RP, Chan SY, Bernal J, Bouchard P, Salvatore D, Boelaert K, Laurberg P. Management of subclinical hypothyroidism in pregnancy: are we too simplistic? Eur J Endocrinol. 2015;173(1):P1-p11.
  356. Negro R, Stagnaro-Green A. Diagnosis and management of subclinical hypothyroidism in pregnancy. Bmj.2014;349:g4929.
  357. Negro R. Thyroid autoimmunity and pre-term delivery: brief review and meta-analysis. J Endocrinol Invest.2011;34(2):155-158.
  358. Negro R, Schwartz A, Stagnaro-Green A. Impact of Levothyroxine in Miscarriage and Preterm Delivery Rates in First Trimester Thyroid Antibody-Positive Women With TSH Less Than 2.5 mIU/L. J Clin Endocrinol Metab.2016;101(10):3685-3690.
  359. Chen X, Jin B, Xia J, Tao X, Huang X, Sun L, Yuan Q. Effects of Thyroid Peroxidase Antibody on Maternal and Neonatal Outcomes in Pregnant Women in an Iodine-Sufficient Area in China. Int J Endocrinol.2016;2016:6461380.
  360. Dhillon-Smith RK, Tobias A, Smith PP, Middleton LJ, Sunner KK, Baker K, Farrell-Carver S, Bender-Atik R, Agrawal R, Bhatia K, Chu JJ, Edi-Osagie E, Ewies A, Ghobara T, Gupta P, Jurkovic D, Khalaf Y, Mulbagal K, Nunes N, Overton C, Quenby S, Rai R, Raine-Fenning N, Robinson L, Ross J, Sizer A, Small R, Underwood M, Kilby MD, Daniels J, Thangaratinam S, Chan S, Boelaert K, Coomarasamy A. The Prevalence of Thyroid Dysfunction and Autoimmunity in Women With History of Miscarriage or Subfertility. J Clin Endocrinol Metab.2020;105(8).
  361. Yu M, Long Y, Wang Y, Zhang R, Tao L. Effect of levothyroxine on the pregnancy outcomes in recurrent pregnancy loss women with subclinical hypothyroidism and thyroperoxidase antibody positivity: a systematic review and meta-analysis. J Matern Fetal Neonatal Med. 2023;36(2):2233039.
  362. Maraka S, Dosiou C. Subclinical Hypothyroidism and Thyroid Autoimmunity in Pregnancy: To Treat or Not to Treat. Endocrinol Metab Clin North Am. 2024;53(3):363-376.
  363. Wilson KL, Casey BM, McIntire DD, Halvorson LM, Cunningham FG. Subclinical thyroid disease and the incidence of hypertension in pregnancy. Obstet Gynecol. 2012;119(2 Pt 1):315-320.
  364. Alavi A, Adabi K, Nekuie S, Jahromi EK, Solati M, Sobhani A, Karmostaji H, Jahanlou AS. Thyroid dysfunction and autoantibodies association with hypertensive disorders during pregnancy. J Pregnancy. 2012;2012:742695.
  365. Nazarpour S, Ramezani Tehrani F, Rahmati M, Azizi F. Prediction of preterm delivery based on thyroid peroxidase antibody levels and other identified risk factors. Eur J Obstet Gynecol Reprod Biol. 2023;284:125-130.
  366. Liu X, Zhang C, Lin Z, Zhu K, He R, Jiang Z, Wu H, Yu J, Luo Q, Sheng J, Fan J, Pan J, Huang H. Association of maternal mild hypothyroidism in the first and third trimesters with obstetric and perinatal outcomes: a prospective cohort study. Am J Obstet Gynecol. 2024.
  367. Haddow JE, Palomaki GE, Allan WC, Williams JR KG, Gagnon J, O'Heir CE, Mitchell ML, Hermos RJ WS, Faix JD, Klein RZ. Maternal thyroid deficiency during pregnancy and subsequent neuropsychological development of the child. NEJM. 1999;341:549-555.
  368. Li Y, Shan Z, Teng W, Yu X, Li Y, Fan C, Teng X, Guo R, Wang H, Li J, Chen Y, Wang W, Chawinga M, Zhang L, Yang L, Zhao Y, Hua T. Abnormalities of maternal thyroid function during pregnancy affect neuropsychological development of their children at 25-30 months. Clin Endocrinol (Oxf). 2010;72(6):825-829.
  369. Nazarpour S, Ramezani Tehrani F, Simbar M, Tohidi M, Alavi Majd H, Azizi F. Effects of levothyroxine treatment on pregnancy outcomes in pregnant women with autoimmune thyroid disease. Eur J Endocrinol. 2017;176(2):253-265.
  370. Pekonen F, Alfthan H, Stenman UH, Ylikorkala O. Human chorionic gonadotropin (hCG) and thyroid function in early human pregnancy: circadian variation and evidence for intrinsic thyrotropic activity of hCG. J Clin Endocrinol Metab. 1988;66(4):853-856.
  371. Goodwin TM, Montoro M, Mestman JH, Pekary AE, Hershman JM. The role of chorionic gonadotropin in transient hyperthyroidism of hyperemesis gravidarum. J Clin Endocrinol Metab. 1992;75(5):1333-1337.
  372. Korevaar TI, Steegers EA, de Rijke YB, Visser WE, Jaddoe VW, Visser TJ, Medici M, Peeters RP. Placental Angiogenic Factors Are Associated With Maternal Thyroid Function and Modify hCG-Mediated FT4 Stimulation. J Clin Endocrinol Metab. 2015;100(10):E1328-1334.
  373. Grün JP, Meuris S, De Nayer P, Glinoer D. The thyrotrophic role of human chorionic gonadotrophin (hCG) in the early stages of twin (versus single) pregnancies. Clin Endocrinol (Oxf). 1997;46(6):719-725.
  374. Barjaktarovic M, Korevaar TIM, Jaddoe VWV, de Rijke YB, Peeters RP, Steegers EAP. Human chorionic gonadotropin and risk of pre-eclampsia: prospective population-based cohort study. Ultrasound Obstet Gynecol.2019;54(4):477-483.
  375. Männistö T, Surcel HM, Ruokonen A, Vääräsmäki M, Pouta A, Bloigu A, Järvelin MR, Hartikainen AL, Suvanto E. Early pregnancy reference intervals of thyroid hormone concentrations in a thyroid antibody-negative pregnant population. Thyroid. 2011;21(3):291-298.
  376. McNeil AR, Stanford PE. Reporting Thyroid Function Tests in Pregnancy. Clin Biochem Rev. 2015;36(4):109-126.
  377. Tozzoli R, D'Aurizio F, Ferrari A, Castello R, Metus P, Caruso B, Perosa AR, Sirianni F, Stenner E, Steffan A, Villalta D. The upper reference limit for thyroid peroxidase autoantibodies is method-dependent: A collaborative study with biomedical industries. Clin Chim Acta. 2016;452:61-65.
  378. Caruso B, Bovo C, Guidi GC. Causes of Preanalytical Interferences on Laboratory Immunoassays - A Critical Review. Ejifcc. 2020;31(1):70-84.
  379. Roelfsema F, Pijl H, Kok P, Endert E, Fliers E, Biermasz NR, Pereira AM, Veldhuis JD. Thyrotropin secretion in healthy subjects is robust and independent of age and gender, and only weakly dependent on body mass index. J Clin Endocrinol Metab. 2014;99(2):570-578.
  380. Roelfsema F, Boelen A, Kalsbeek A, Fliers E. Regulatory aspects of the human hypothalamus-pituitary-thyroid axis. Best practice & research Clinical endocrinology & metabolism. 2017;31(5):487-503.
  381. van der Spoel E, Roelfsema F, van Heemst D. Within-Person Variation in Serum Thyrotropin Concentrations: Main Sources, Potential Underlying Biological Mechanisms, and Clinical Implications. Front Endocrinol (Lausanne).2021;12:619568.
  382. Beckett G, MacKenzie F. Thyroid guidelines - are thyroid-stimulating hormone assays fit for purpose? Ann Clin Biochem. 2007;44(Pt 3):203-208.
  383. Roelfsema F, Pereira AM, Veldhuis JD, Adriaanse R, Endert E, Fliers E, Romijn JA. Thyrotropin secretion profiles are not different in men and women. J Clin Endocrinol Metab. 2009;94(10):3964-3967.
  384. Walsh JP, Ward LC, Burke V, Bhagat CI, Shiels L, Henley D, Gillett MJ, Gilbert R, Tanner M, Stuckey BG. Small changes in thyroxine dosage do not produce measurable changes in hypothyroid symptoms, well-being, or quality of life: results of a double-blind, randomized clinical trial. J Clin Endocrinol Metab. 2006;91(7):2624-2630.
  385. Jonklaas J, Sarlis NJ, Litofsky D, Ain KB, Bigos ST, Brierley JD, Cooper DS, Haugen BR, Ladenson PW, Magner J, Robbins J, Ross DS, Skarulis M, Maxon HR, Sherman SI. Outcomes of patients with differentiated thyroid carcinoma following initial therapy. Thyroid. 2006;16(12):1229-1242.
  386. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Pacini F, Schlumberger M, Sherman SI, Steward DL, Tuttle RM. Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2009;19(11):1167-1214.
  387. Mebis L, van den Berghe G. The hypothalamus-pituitary-thyroid axis in critical illness. Neth J Med.2009;67(10):332-340.
  388. Van den Berghe G. Non-thyroidal illness in the ICU: a syndrome with different faces. Thyroid. 2014;24(10):1456-1465.
  389. Aidoo ED, Ababio GK, Arko-Boham B, Tagoe EA, Aryee NA. Thyroid dysfunction among patients assessed by thyroid function tests at a tertiary care hospital: a retrospective study. Pan Afr Med J. 2024;49:7.
  390. Stockigt JR. Guidelines for diagnosis and monitoring of thyroid disease: nonthyroidal illness. Clin Chem.1996;42:188-192.
  391. Stathatos N, Levetan C, Burman KD, Wartofsky L. The controversy of the treatment of critically ill patients with thyroid hormone. Best practice & research Clinical endocrinology & metabolism. 2001;15(4):465-478.
  392. Bunevicius R, Steibliene V, Prange AJ, Jr. Thyroid axis function after in-patient treatment of acute psychosis with antipsychotics: a naturalistic study. BMC Psychiatry. 2014;14:279.
  393. Soh SB, Aw TC. Laboratory Testing in Thyroid Conditions - Pitfalls and Clinical Utility. Ann Lab Med. 2019;39(1):3-14.
  394. Uy HL, Reasner CA, Samuels MH. Pattern of recovery of the hypothalamic-pituitary-thyroid axis following radioactive iodine therapy in patients with Graves' disease. Am J Med. 1995;99(2):173-179.
  395. Persani L. Clinical review: Central hypothyroidism: pathogenic, diagnostic, and therapeutic challenges. J Clin Endocrinol Metab. 2012;97:3068-3078.
  396. Lania A, Persani L, Beck-Peccoz P. Central hypothyroidism. Pituitary. 2008;11(2):181-186.
  397. Roelfsema F, Kok S, Kok P, Pereira AM, Biermasz NR, Smit JW, Frolich M, Keenan DM, Veldhuis JD, Romijn JA. Pituitary-hormone secretion by thyrotropinomas. Pituitary. 2009;12(3):200-210.
  398. Beck-Peccoz P, Giavoli C, Lania A. A 2019 update on TSH-secreting pituitary adenomas. J Endocrinol Invest.2019;42(12):1401-1406.
  399. Refetoff S, Weiss RE, Usala SJ. The syndromes of resistance to thyroid hormone. Endocrine Rev. 1993;14:348-399.
  400. Persani L, Rodien P, Moran C, Edward Visser W, Groeneweg S, Peeters R, Refetoff S, Gurnell M, Beck-Peccoz P, Chatterjee K. 2024 European Thyroid Association Guidelines on diagnosis and management of genetic disorders of thyroid hormone transport, metabolism and action. Eur Thyroid J. 2024;13(4).
  401. Dumitrescu AM, Refetoff S. The syndromes of reduced sensitivity to thyroid hormone. Biochim Biophys Acta.2013;1830(7):3987-4003.
  402. Bertalan R, Sallai A, Sólyom J, Lotz G, Szabó I, Kovács B, Szabó E, Patócs A, Rácz K. Hyperthyroidism caused by a germline activating mutation of the thyrotropin receptor gene: difficulties in diagnosis and therapy. Thyroid.2010;20(3):327-332.
  403. Drees JC, Stone JA, Reamer CR, Arboleda VE, Huang K, Hrynkow J, Greene DN, Petrie MS, Hoke C, Lorey TS, Dlott RS. Falsely undetectable TSH in a cohort of South Asian euthyroid patients. J Clin Endocrinol Metab.2014;99(4):1171-1179.
  404. Kalveram L, Kleinau G, Szymańska K, Scheerer P, Rivero-Müller A, Grüters-Kieslich A, Biebermann H. The Pathogenic TSH β-subunit Variant C105Vfs114X Causes a Modified Signaling Profile at TSHR. Int J Mol Sci.2019;20(22).
  405. Emerson JF, Ngo G, Emerson SS. Screening for interference in immunoassays. Clin Chem. 2003;49:1163-1169.
  406. Nayeemuddin SN, Panigrahi A, Bhattacharjee R, Chowdhury S. Heterophilic Interference of Rheumatoid Factor in TSH Immunometric Assay: A Cross-Sectional Observational Study. Indian J Endocrinol Metab. 2024;28(1):29-34.
  407. Czernichow P, Vandalem JL, Hennen G. Transient neonatal hyperthyrotropinemia: a factitious syndrome due to the presence of heterophilic antibodies in the plasma of infants and their mothers. J Clin Endocrinol Metab.1981;53(2):387-393.
  408. Favresse J, Paridaens H, Pirson N, Maiter D, Gruson D. Massive interference in free T4 and free T3 assays misleading clinical judgment. Clin Chem Lab Med. 2017;55(4):e84-e86.
  409. Ohba K, Noh JY, Unno T, Satoh T, Iwahara K, Matsushita A, Sasaki S, Oki Y, Nakamura H. Falsely elevated thyroid hormone levels caused by anti-ruthenium interference in the Elecsys assay resembling the syndrome of inappropriate secretion of thyrotropin. Endocr J. 2012;59(8):663-667.
  410. Takahashi S, Nishikawa M, Nishihara E, Deguchi H, Kohsaka K, Yamaoka H, Hisakado M, Fukata S, Ito M, Miyauchi A, Akamizu T. Interference against a newly labeled substance with ruthenium sulfonate complexes showing discrepant thyroid function test results. Clin Chim Acta. 2024;553:117706.
  411. Elston MS, Sehgal S, Du Toit S, Yarndley T, Conaglen JV. Factitious Graves' Disease Due to Biotin Immunoassay Interference-A Case and Review of the Literature. J Clin Endocrinol Metab. 2016;101(9):3251-3255.
  412. Balzer AHA, Whitehurst CB. An Analysis of the Biotin-(Strept)avidin System in Immunoassays: Interference and Mitigation Strategies. Curr Issues Mol Biol. 2023;45(11):8733-8754.
  413. Lazarus JH, John R, Ginsberg J, Hughes IA, Shewring G, Smith BR, Woodhead JS, Hall R. Transient neonatal hyperthyrotrophinaemia: a serum abnormality due to transplacentally acquired antibody to thyroid stimulating hormone. Br Med J (Clin Res Ed). 1983;286(6365):592-594.
  414. Sazonova DV, Perepelova MA, Shutova AS, Nikankina LV, Kolesnikova GS, Pigarova EA, Dzeranova LK. [Combination of macro-TSH and macroprolactinemia phenomena in a patient with autoimmune thyroiditis and vitiligo]. Probl Endokrinol (Mosk). 2024;70(5):34-39.
  415. Hattori N, Ishihara T, Shimatsu A. Variability in the detection of macro TSH in different immunoassay systems. Eur J Endocrinol. 2016;174(1):9-15.
  416. Verhoye E, Van den Bruel A, Delanghe JR, Debruyne E, Langlois MR. Spuriously high thyrotropin values due to anti-thyrotropin antibodies in adult patients. Clin Chem Lab Med. 2009;47(5):604-606.
  417. Piticchio T, Chiardi I, Tumminia A, Frasca F, Rotondi M, Trimboli P. PEG Precipitation to Detect Macro-TSH in Clinical Practice: A Systematic Review. Clin Endocrinol (Oxf). 2024.
  418. Grünert SC, Schmidts M, Pohlenz J, Kopp MV, Uhl M, Schwab KO. Congenital Central Hypothyroidism due to a Homozygous Mutation in the TSHβ Subunit Gene. Case Rep Pediatr. 2011;2011:369871.
  419. Yeste D, Baz-Redón N, Antolín M, Garcia-Arumí E, Mogas E, Campos-Martorell A, González-Llorens N, Aguilar-Riera C, Soler-Colomer L, Clemente M, Fernández-Cancio M, Camats-Tarruella N. Genetic and Functional Studies of Patients with Thyroid Dyshormonogenesis and Defects in the TSH Receptor (TSHR). Int J Mol Sci. 2024;25(18).
  420. Feldt-Rasmussen U. Analytical and clinical performance goals for thyroid testing: thyroid antibodies. Clin Chem.1996;46:In press.
  421. Saravanan P, Dayan CM. Thyroid autoantibodies. Endocrinol Metab Clin North Am. 2001;30(2):315-337, viii.
  422. McLachlan SM, Rapoport B. Discoveries in Thyroid Autoimmunity in the Past Century. Thyroid. 2023;33(3):278-286.
  423. Massart C, Sapin R, Gibassier J, Agin A, d'Herbomez M. Intermethod variability in TSH-receptor antibody measurement: implication for the diagnosis of Graves disease and for the follow-up of Graves ophthalmopathy. Clin Chem. 2009;55(1):183-186.
  424. D'Aurizio F, Metus P, Ferrari A, Caruso B, Castello R, Villalta D, Steffan A, Gaspardo K, Pesente F, Bizzaro N, Tonutti E, Valverde S, Cosma C, Plebani M, Tozzoli R. Definition of the upper reference limit for thyroglobulin antibodies according to the National Academy of Clinical Biochemistry guidelines: comparison of eleven different automated methods. Auto Immun Highlights. 2017;8(1):8.
  425. Tozzoli R, Bagnasco M, Giavarina D, Bizzaro N. TSH receptor autoantibody immunoassay in patients with Graves' disease: improvement of diagnostic accuracy over different generations of methods. Systematic review and meta-analysis. Autoimmun Rev. 2012;12(2):107-113.
  426. Rapoport B, Chazenbalk GD, Jaume JC, McLachlan SM. The thyrotropin (TSH) receptor: interaction with TSH and autoantibodies. Endocr Rev. 1998;19(6):673-716.
  427. Davies T, Marians R, Latif R. The TSH receptor reveals itself. J Clin Invest. 2002;110(2):161-164.
  428. Barbesino G, Tomer Y. Clinical review: Clinical utility of TSH receptor antibodies. J Clin Endocrinol Metab.2013;98(6):2247-2255.
  429. Rees Smith B, McLachlan SM, Furmaniak J. Autoantibodies to the thyrotropin receptor. Endocr Rev.1988;9(1):106-121.
  430. Adams DD. Long-acting thyroid stimulator: how receptor autoimmunity was discovered. Autoimmunity.1988;1(1):3-9.
  431. McKenzie MJ, Zakarija M. Antibodies in autoimmune thyroid disease. 6th. Edition ed. Philadelphia: J B Lippincott.
  432. Ando T, Latif R, Davies TF. Thyrotropin receptor antibodies: new insights into their actions and clinical relevance. Best practice & research Clinical endocrinology & metabolism. 2005;19(1):33-52.
  433. Noh JY, Hamada N, Inoue Y, Abe Y, Ito K, Ito K. Thyroid-stimulating antibody is related to Graves' ophthalmopathy, but thyrotropin-binding inhibitor immunoglobulin is related to hyperthyroidism in patients with Graves' disease. Thyroid. 2000;10(9):809-813.
  434. Mizutori Y, Chen CR, Latrofa F, McLachlan SM, Rapoport B. Evidence that shed thyrotropin receptor A subunits drive affinity maturation of autoantibodies causing Graves' disease. J Clin Endocrinol Metab. 2009;94(3):927-935.
  435. Ko J, Kook KH, Yoon JS, Woo KI, Yang JW. Longitudinal association of thyroid-stimulating immunoglobulin levels with clinical characteristics in thyroid eye disease. BMJ Open. 2022;12(6):e050337.
  436. Abeillon-du Payrat J, Caron P. The key data from the 2022 European Thyroid Association congress: Toward personalized treatment of Graves' orbitopathy. Ann Endocrinol (Paris). 2023;84(6):756-757.
  437. Gupta MK. Thyrotropin-receptor antibodies in thyroid diseases: advances in detection techniques and clinical application. Clin Chem Acta. 2000;293:1-29.
  438. Michalek K, Morshed SA, Latif R, Davies TF. TSH receptor autoantibodies. Autoimmun Rev. 2009;9(2):113-116.
  439. Kahaly GJ. Bioassays for TSH Receptor Antibodies: Quo Vadis? Eur Thyroid J. 2015;4(1):3-5.
  440. Kahaly GJ, Diana T, Glang J, Kanitz M, Pitz S, König J. Thyroid Stimulating Antibodies Are Highly Prevalent in Hashimoto's Thyroiditis and Associated Orbitopathy. J Clin Endocrinol Metab. 2016;101(5):1998-2004.
  441. Morgenthaler NG, Ho SC, Minich WB. Stimulating and blocking thyroid-stimulating hormone (TSH) receptor autoantibodies from patients with Graves' disease and autoimmune hypothyroidism have very similar concentration, TSH receptor affinity, and binding sites. J Clin Endocrinol Metab. 2007;92(3):1058-1065.
  442. Yoshida K, Aizawa Y, Kaise N, Fukazawa H, Kiso Y, Sayama N, Mori K, Hori H, Abe K. Relationship between thyroid-stimulating antibodies and thyrotropin-binding inhibitory immunoglobulins years after administration of radioiodine for Graves' disease: retrospective clinical survey. J Endocrinol Invest. 1996;19(10):682-686.
  443. Quadbeck B, Hoermann R, Hahn S, Roggenbuck U, Mann K, Janssen OE. Binding, stimulating and blocking TSH receptor antibodies to the thyrotropin receptor as predictors of relapse of Graves' disease after withdrawal of antithyroid treatment. Horm Metab Res. 2005;37(12):745-750.
  444. McLachlan SM, Rapoport B. Thyrotropin-blocking autoantibodies and thyroid-stimulating autoantibodies: potential mechanisms involved in the pendulum swinging from hypothyroidism to hyperthyroidism or vice versa. Thyroid.2013;23(1):14-24.
  445. Kamijo K. Shift in Dominance from Blocking to Stimulating Type of Thyrotropin Receptor Antibodies, Resulting in Conversion from Hypothyroidism to Hyperthyroidism during Late Pregnancy. Intern Med. 2024;63(4):521-526.
  446. Seetharamaiah GS, Kurosky A, Desai RK, Dallas JS, Prabhakar BS. A recombinant extracellular domain of the thyrotropin (TSH) receptor binds TSH in the absence of membranes. Endocrinology. 1994;134(2):549-554.
  447. Kung AW, Jones BM. A change from stimulatory to blocking antibody activity in Graves' disease during pregnancy. J Clin Endocrinol Metab. 1998;83(2):514-518.
  448. Davies TF, Ando T, Lin RY, Tomer Y, Latif R. Thyrotropin receptor-associated diseases: from adenomata to Graves disease. J Clin Invest. 2005;115(8):1972-1983.
  449. Morshed SA, Ando T, Latif R, Davies TF. Neutral antibodies to the TSH receptor are present in Graves' disease and regulate selective signaling cascades. Endocrinology. 2010;151(11):5537-5549.
  450. Kamijo K. TSH-receptor antibodies determined by the first, second and third generation assays and thyroid-stimulating antibody in pregnant patients with Graves' disease. Endocr J. 2007;54(4):619-624.
  451. Ajjan RA, Weetman AP. Techniques to quantify TSH receptor antibodies. Nature clinical practice Endocrinology & metabolism. 2008;4(8):461-468.
  452. Diana T, Wüster C, Kanitz M, Kahaly GJ. Highly variable sensitivity of five binding and two bio-assays for TSH-receptor antibodies. J Endocrinol Invest. 2016;39(10):1159-1165.
  453. Zöphel K, Roggenbuck D, Schott M. Clinical review about TRAb assay's history. Autoimmun Rev. 2010;9(10):695-700.
  454. Iida Y, Konishi J, Kasagi K, Kuma K, Torizuka K. Detection of TSH-binding inhibitor immunoglobulins by using the triton-solubilized receptor from human thyroid membranes. Endocrinol Jpn. 1982;29(2):227-231.
  455. Ehlers M, Allelein S, Schott M. TSH-receptor autoantibodies: pathophysiology, assay methods, and clinical applications. Minerva Endocrinol. 2018;43(3):323-332.
  456. Massart C, Gibassier J, d'Herbomez M. Clinical value of M22-based assays for TSH-receptor antibody (TRAb) in the follow-up of antithyroid drug treated Graves' disease: comparison with the second generation human TRAb assay. Clin Chim Acta. 2009;407(1-2):62-66.
  457. Smith BR, Sanders J, Furmaniak J. TSH receptor antibodies. Thyroid. 2007;17(10):923-938.
  458. Feldt-Rasmussen U, Schleusener H, Carayon P. Meta-analysis evaluation of the impact of thyrotropin receptor antibodies on long term remission after medical therapy of Graves' disease. J Clin Endocrinol Metab.1994;78(1):98-102.
  459. Furmaniak J, Sanders J, Sanders P, Miller-Gallacher J, Ryder MM, Rees Smith B. Practical applications of studies on the TSH receptor and TSH receptor autoantibodies. Endocrine. 2020;68(2):261-264.
  460. Evans M, Sanders J, Tagami T, Sanders P, Young S, Roberts E, Wilmot J, Hu X, Kabelis K, Clark J, Holl S, Richards T, Collyer A, Furmaniak J, Smith BR. Monoclonal autoantibodies to the TSH receptor, one with stimulating activity and one with blocking activity, obtained from the same blood sample. Clin Endocrinol (Oxf).2010;73(3):404-412.
  461. Takamura Y, Nakano K, Uruno T, Ito Y, Miya A, Kobayashi K, Yokozawa T, Matsuzuka F, Kuma K, Miyauchi A. Changes in serum TSH receptor antibody (TRAb) values in patients with Graves' disease after total or subtotal thyroidectomy. Endocr J. 2003;50(5):595-601.
  462. Carella C, Mazziotti G, Sorvillo F, Piscopo M, Cioffi M, Pilla P, Nersita R, Iorio S, Amato G, Braverman LE, Roti E. Serum thyrotropin receptor antibodies concentrations in patients with Graves' disease before, at the end of methimazole treatment, and after drug withdrawal: evidence that the activity of thyrotropin receptor antibody and/or thyroid response modify during the observation period. Thyroid. 2006;16(3):295-302.
  463. Giuliani C, Cerrone D, Harii N, Thornton M, Kohn LD, Dagia NM, Bucci I, Carpentieri M, Di Nenno B, Di Blasio A, Vitti P, Monaco F, Napolitano G. A TSHR-LH/CGR chimera that measures functional thyroid-stimulating autoantibodies (TSAb) can predict remission or recurrence in Graves' patients undergoing antithyroid drug (ATD) treatment. J Clin Endocrinol Metab. 2012;97(7):E1080-1087.
  464. McKenzie JM, Zakarija M. Fetal and neonatal hyperthyroidism and hypothyroidism due to maternal TSH receptor antibodies. Thyroid. 1992;2(2):155-159.
  465. Nor Azlin MI, Bakin YD, Mustafa N, Wahab NA, Johari MJ, Kamarudin NA, Jamil MA. Thyroid autoantibodies and associated complications during pregnancy. J Obstet Gynaecol. 2010;30(7):675-678.
  466. Hamada N, Momotani N, Ishikawa N, Yoshimura Noh J, Okamoto Y, Konishi T, Ito K, Ito K. Persistent high TRAb values during pregnancy predict increased risk of neonatal hyperthyroidism following radioiodine therapy for refractory hyperthyroidism. Endocr J. 2011;58(1):55-58.
  467. Heithorn R, Hauffa BP, Reinwein D. Thyroid antibodies in children of mothers with autoimmune thyroid disorders. Eur J Pediatr. 1999;158:24-28.
  468. Abeillon-du Payrat J, Chikh K, Bossard N, Bretones P, Gaucherand P, Claris O, Charrié A, Raverot V, Orgiazzi J, Borson-Chazot F, Bournaud C. Predictive value of maternal second-generation thyroid-binding inhibitory immunoglobulin assay for neonatal autoimmune hyperthyroidism. Eur J Endocrinol. 2014;171(4):451-460.
  469. Tokuda Y, Kasagi K, Iida Y, Hatabu H, Hidaka A, Misaki T, Konishi J. Sensitive, practical bioassay of thyrotropin, with use of FRTL-5 thyroid cells and magnetizable solid-phase-bound antibodies. Clin Chem. 1988;34(11):2360-2364.
  470. Morris JC, 3rd, Hay ID, Nelson RE, Jiang NS. Clinical utility of thyrotropin-receptor antibody assays: comparison of radioreceptor and bioassay methods. Mayo Clin Proc. 1988;63(7):707-717.
  471. Michelangeli VP, Munro DS, Poon CW, Frauman AG, Colman PG. Measurement of thyroid stimulating immunoglobulins in a new cell line transfected with a functional human TSH receptor (JPO9 cells), compared with an assay using FRTL-5 cells. Clin Endocrinol (Oxf). 1994;40(5):645-652.
  472. Michelangeli VP, Poon CW, Arnus EE, Frauman AG, Connelly J, Colman PG. Measurement of TSH receptor blocking immunoglobulins using 3H-adenine incorporation into FRTL-5 and JPO9 cells: use in a child with neonatal hypothyroidism. Clin Endocrinol (Oxf). 1995;42(1):39-44.
  473. Morgenthaler NG, Pampel I, Aust G, Seissler J, Scherbaum WA. Application of a bioassay with CHO cells for the routine detection of stimulating and blocking autoantibodies to the TSH-receptor. Horm Metab Res.1998;30(3):162-168.
  474. McLachlan SM, Rapoport B. Thyroid peroxidase autoantibody epitopes revisited*. Clin Endocrinol (Oxf).2008;69(4):526-527.
  475. Paparodis R, Livadas S, Karvounis E, Bantouna D, Zoupas I, Angelopoulos N, Imam S, Jaume JC. Elevated Preoperative TPO Ab Titers Decrease Risk for DTC in a Linear Fashion: A Retrospective Analysis of 1635 Cases. J Clin Endocrinol Metab. 2023;109(1):e347-e355.
  476. Jaume JC, Burek CL, Hoffman WH, Rose NR, McLachlan SM, Rapoport B. Thyroid peroxidase autoantibody epitopic 'fingerprints' in juvenile Hashimoto's thyroiditis: evidence for conservation over time and in families. Clin Exp Immunol. 1996;104(1):115-123.
  477. Ehlers M, Thiel A, Bernecker C, Porwol D, Papewalis C, Willenberg HS, Schinner S, Hautzel H, Scherbaum WA, Schott M. Evidence of a combined cytotoxic thyroglobulin and thyroperoxidase epitope-specific cellular immunity in Hashimoto's thyroiditis. J Clin Endocrinol Metab. 2012;97(4):1347-1354.
  478. Cayzer I, Chalmers SR, Doniach D, Swana G. An evaluation of two new haemagglutination tests for the rapid diagnosis of autoimmune thyroid diseases. J Clin Path. 1978;31:1147-1151.
  479. Mariotti S, Caturegli P, Piccolo P, Barbesino G, Pinchera A. Antithyroid peroxidase autoantibodies in thyroid diseases. J Clin Endocrinol Metab. 1990;71:661-669.
  480. Beever K, Bradbury J, Phillips D, McLachlan SM, Pegg C, Goral A, Overbeck W, Feifel G, Smith BR. Highly sensitive assays of autoantibodies to thyroglobulin and to thyroid peroxidase. Clin Chem. 1989;35:1949-1954.
  481. Laurberg P, Pedersen KM, Vittinghus E, Ekelund S. Sensitive enzyme-linked immunosorbent assay for measurement of autoantibodies to human thyroid peroxidase. Scandinavian Journal Of Clinical And Laboratory Investigation. 1992;52(7):663-669.
  482. La'ulu SL, Slev PR, Roberts WL. Performance characteristics of 5 automated thyroglobulin autoantibody and thyroid peroxidase autoantibody assays. Clin Chim Acta. 2007;376(1-2):88-95.
  483. Kasagi K, Takahashi N, Inoue G, Honda T, Kawachi Y, Izumi Y. Thyroid function in Japanese adults as assessed by a general health checkup system in relation with thyroid-related antibodies and other clinical parameters. Thyroid. 2009;19(9):937-944.
  484. Liu Q, Yang H, Chen Y, He X, Dong L, Zhang X, Yang Y, Tian M, Cheng W, Liu D, Yang G, Li K. Effect of thyroid peroxidase antibody titers trajectories during pregnancy and postpartum on postpartum thyroid dysfunction. Arch Gynecol Obstet. 2024.
  485. Karanikas G, Schuetz M, Wahl K, Paul M, Kontur S, Pietschmann P, Kletter K, Dudczak R, Willheim M. Relation of anti-TPO autoantibody titre and T-lymphocyte cytokine production patterns in Hashimoto's thyroiditis. Clin Endocrinol (Oxf). 2005;63(2):191-196.
  486. Rebuffat SA, Nguyen B, Robert B, Castex F, Peraldi-Roux S. Antithyroperoxidase antibody-dependent cytotoxicity in autoimmune thyroid disease. J Clin Endocrinol Metab. 2008;93(3):929-934.
  487. Carmel R, Spencer CA. Clinical and subclinical thyroid disorders associated with pernicious anemia. Arch Intern Med. 1982;142:1465-1469.
  488. Vanderpump MPJ, Tunbridge WMG, French JM, Appleton D, Bates D, Rodgers H, Evans JG, Clark F, Tunbridge F, Young ET. The incidence of thyroid disorders in the community; a twenty year follow up of the Whickham survey. Clin Endocrinol. 1995;43:55-68.
  489. Hutfless S, Matos P, Talor MV, Caturegli P, Rose NR. Significance of prediagnostic thyroid antibodies in women with autoimmune thyroid disease. J Clin Endocrinol Metab. 2011;96(9):E1466-1471.
  490. Yang S, Huang Z, Zhang Y, Li Y, Zhou Y, Guan H, Fan J. Association of Maternal Thyroglobulin Antibody with Preterm Birth in Euthyroid Women. J Clin Endocrinol Metab. 2025.
  491. Huber G, Staub JJ, Meier C, Mitrache C, Guglielmetti M, Huber P, Braverman LE. Prospective Study of the Spontaneous Course of Subclinical Hypothyroidism: Prognostic Value of Thyrotropin, Thyroid Reserve, and Thyroid Antibodies. J Clin Endocrinol Metab. 2002;87:3221-3226.
  492. Pedersen OM, Aardal NP, Larssen TB, Varhaug JE, Myking O, Vik-Mo H. The value of ultrasonography in predicting autoimmune thyroid disease. Thyroid. 2000;10:251-259.
  493. Mariotti S, Barbesino G, Caturegli P, Atzeni F, Manetti L, Marinò M, Grasso L, Velluzzi F, Loviselli A, Pinchera A, et al. False negative results observed in anti-thyroid peroxidase autoantibody determination by competitive radioimmunoassays using monoclonal antibodies. Eur J Endocrinol. 1994;130(6):552-558.
  494. Schmidt M, Voell M, Rahlff I, Dietlein M, Kobe C, Faust M, Schicha H. Long-term follow-up of antithyroid peroxidase antibodies in patients with chronic autoimmune thyroiditis (Hashimoto's thyroiditis) treated with levothyroxine. Thyroid. 2008;18(7):755-760.
  495. Bell TM, Bansal AS, Shorthouse C, Sandford N, Powell EE. Low titre autoantibodies predict autoimmune disease during interferon alpha treatment of chronic hepatitis C. J Gastroenterol Hepatol. 1999;14:419-422.
  496. Johnston AM, Eagles JM. Lithium-associated clinical hypothyroidism. Prevalence and risk factors. Br J Psychiatry.1999;175:336-339.
  497. Daniels GH. Amiodarone-induced thyrotoxicosis. J Clin Endocrinol Metab. 2001;86(1):3-8.
  498. Bocchetta A, Cocco F, Velluzzi F, Del Zompo M, Mariotti S, Loviselli A. Fifteen-year follow-up of thyroid function in lithium patients. J Endocrinol Invest. 2007;30(5):363-366.
  499. Tsang W, Houlden RL. Amiodarone-induced thyrotoxicosis: a review. Can J Cardiol. 2009;25(7):421-424.
  500. Wang L, Li B, Zhao H, Wu P, Wu Q, Chen K, Mu Y. A systematic review and meta-analysis of endocrine-related adverse events associated with interferon. Front Endocrinol (Lausanne). 2022;13:949003.
  501. Negro R, Žarković M, Attanasio R, Hegedüs L, Nagy EV, Papini E, Akarsu E, Alevizaki M, Ayvaz G, Bednarczuk T, Beleslin BN, Berta E, Bodor M, Borissova AM, Boyanov M, Buffet C, Burlacu MC, Ćirić J, Cohen CA, Díez JJ, Dobnig H, Fadeyev V, Field BCT, Fliers E, Führer D, Galofré JC, Hakala T, Jan J, Kopp P, Krebs M, Kršek M, Kužma M, Leenhardt L, Luchytskiy V, Puga FM, McGowan A, Melo M, Metso S, Moran C, Morgunova T, Niculescu DA, Perić B, Planck T, Poiana C, Robenshtok E, Rosselet PO, Ruchala M, Riis KR, Shepelkevich A, Tronko M, Unuane D, Vardarli I, Visser E, Vryonidou A, Younes YR, Perros P. Use of levothyroxine for euthyroid, thyroid antibody positive women with infertility: Analyses of aggregate data from a survey of European thyroid specialists (Treatment of Hypothyroidism in Europe by Specialists: An International Survey). Clin Endocrinol (Oxf).2024;101(2):180-190.
  502. Mecacci F, Parretti E, Cioni R, Lucchetti R, Magrini A, La Torre P, Mignosa M, Acanfora L, Mello G. Thyroid autoimmunity and its association with non-organ-specific antibodies and subclinical alterations of thyroid function in women with a history of pregnancy loss or preeclampsia. J Reprod Immunol. 2000;46:39-50.
  503. Bussen S, Steck T, Dietl J. Increased prevalence of thyroid antibodies in euthyroid women with a history of recurrent in-vitro fertilization failure. Hum Reprod. 2000;15:545-548.
  504. Poppe K, Glinoer D, tournaye H, Devroey P, Van Steirteghem a, Kaufman L, Velkeniers B. Assisted reproduction and thyroid autoimmunity: an unfortunate combination? J Clin Endocrinol Metab. 2003;88:4149-4152.
  505. Negro R, Formoso G, Coppola L, Presicce G, Mangieri T, Pezzarossa A, Dazzi D. Euthyroid women with autoimmune disease undergoing assisted reproduction technologies: the role of autoimmunity and thyroid function. J Endocrinol Invest. 2007;30(1):3-8.
  506. He X, Wang P, Wang Z, He X, Xu D, Wang B. Thyroid antibodies and risk of preterm delivery: a meta-analysis of prospective cohort studies. Eur J Endocrinol. 2012;167(4):455-464.
  507. Karakosta P, Alegakis D, Georgiou V, Roumeliotaki T, Fthenou E, Vassilaki M, Boumpas D, Castanas E, Kogevinas M, Chatzi L. Thyroid dysfunction and autoantibodies in early pregnancy are associated with increased risk of gestational diabetes and adverse birth outcomes. J Clin Endocrinol Metab. 2012;97(12):4464-4472.
  508. Bucci I, Giuliani C, Di Dalmazi G, Formoso G, Napolitano G. Thyroid Autoimmunity in Female Infertility and Assisted Reproductive Technology Outcome. Front Endocrinol (Lausanne). 2022;13:768363.
  509. McLachlan SM, Rapoport B. Why measure thyroglobulin autoantibodies rather than thyroid peroxidase autoantibodies? Thyroid. 2004;14(7):510-520.
  510. Latrofa F, Ricci D, Montanelli L, Rocchi R, Piaggi P, Sisti E, Grasso L, Basolo F, Ugolini C, Pinchera A, Vitti P. Thyroglobulin autoantibodies in patients with papillary thyroid carcinoma: comparison of different assays and evaluation of causes of discrepancies. J Clin Endocrinol Metab. 2012;97(11):3974-3982.
  511. Pickett AJ, Jones M, Evans C. Causes of discordance between thyroglobulin antibody assays. Ann Clin Biochem.2012;49(Pt 5):463-467.
  512. Spencer CA, Bergoglio LM, Kazarosyan M, Fatemi S, LoPresti JS. Clinical impact of thyroglobulin (Tg) and Tg autoantibody method differences on the management of patients with differentiated thyroid carcinomas. J Clin Endocrinol Metab. 2005;90(10):5566-5575.
  513. Lupoli GA, Okosieme OE, Evans C, Clark PM, Pickett AJ, Premawardhana LD, Lupoli G, Lazarus JH. Prognostic significance of thyroglobulin antibody epitopes in differentiated thyroid cancer. J Clin Endocrinol Metab.2015;100(1):100-108.
  514. Taylor KP, Parkington D, Bradbury S, Simpson HL, Jefferies SJ, Halsall DJ. Concordance between thyroglobulin antibody assays. Ann Clin Biochem. 2011;48(Pt 4):367-369.
  515. Rosario PW, Côrtes MCS, Franco Mourão G. Follow-up of patients with thyroid cancer and antithyroglobulin antibodies: a review for clinicians. Endocr Relat Cancer. 2021;28(4):R111-r119.
  516. van Kinschot CMJ, Peeters RP, van den Berg SAA, Verburg FA, van Noord C, van Ginhoven TM, Visser WE. Thyroglobulin and thyroglobulin antibodies: assay-dependent management consequences in patients with differentiated thyroid carcinoma. Clin Chem Lab Med. 2022;60(5):756-765.
  517. Ruf J, Carayon P, Lissitzky S. Various expressions of a unique anti-human thyroglobulin antibody repertoire in normal state and autoimmune disease. Eur J Immunol. 1985;15(3):268-272.
  518. Aras G, Gültekin SS, Küçük NO. The additive clinical value of combined thyroglobulin and antithyroglobulin antibody measurements to define persistent and recurrent disease in patients with differentiated thyroid cancer. Nucl Med Commun. 2008;29(10):880-884.
  519. Feldt-Rasmussen U, Rasmussen AK. Autoimmunity in differentiated thyroid cancer: significance and related clinical problems. Hormones (Athens). 2010;9(2):109-117.
  520. Zhao Y, Mu Z, Liang D, Zhang T, Zhang X, Sun D, Sun Y, Liang J, Lin Y. Prognostic value of postoperative anti-thyroglobulin antibody in patients with differentiated thyroid cancer. Front Endocrinol (Lausanne).2024;15:1354426.
  521. Spencer CA, Takeuchi M, Kazarosyan M, Wang CC, Guttler RB, Singer PA, Fatemi S, LoPresti JS, Nicoloff JT. Serum thyroglobulin autoantibodies: prevalence, influence on serum thyroglobulin measurement, and prognostic significance in patients with differentiated thyroid carcinoma. J Clin Endocrinol Metab. 1998;83(4):1121-1127.
  522. Görges R, Maniecki M, Jentzen W, Sheu SN, Mann K, Bockisch A, Janssen OE. Development and clinical impact of thyroglobulin antibodies in patients with differentiated thyroid carcinoma during the first 3 years after thyroidectomy. Eur J Endocrinol. 2005;153(1):49-55.
  523. Kim ES, Lim DJ, Baek KH, Lee JM, Kim MK, Kwon HS, Song KH, Kang MI, Cha BY, Lee KW, Son HY. Thyroglobulin antibody is associated with increased cancer risk in thyroid nodules. Thyroid. 2010;20(8):885-891.
  524. Ge H, Chen W, Lin Z, Li Y, Chen S. Analysis of the prognostic value of thyroglobulin antibody change trends during follow-up after (131)I treatment in patients with differentiated thyroid carcinoma. Front Oncol.2025;15:1496594.
  525. Grani G, Calvanese A, Carbotta G, D'Alessandri M, Nesca A, Bianchini M, Del Sordo M, Vitale M, Fumarola A. Thyroid autoimmunity and risk of malignancy in thyroid nodules submitted to fine-needle aspiration cytology. Head Neck. 2015;37(2):260-264.
  526. Karatzas T, Vasileiadis I, Zapanti E, Charitoudis G, Karakostas E, Boutzios G. Thyroglobulin antibodies as a potential predictive marker of papillary thyroid carcinoma in patients with indeterminate cytology. Am J Surg.2016;212(5):946-952.
  527. Pacini F, Schlumberger M, Dralle H, Elisei R, Smit JW, Wiersinga W. European consensus for the management of patients with differentiated thyroid carcinoma of the follicular epithelium. Eur J Endocrinol. 2006;154(6):787-803.
  528. Shin HJ, Lee HS, Kim EK, Moon HJ, Lee JH, Kwak JY. A Study on Serum Antithyroglobulin Antibodies Interference in Thyroglobulin Measurement in Fine-Needle Aspiration for Diagnosing Lymph Node Metastasis in Postoperative Patients. PloS one. 2015;10(6):e0131096.
  529. Gholve C, Damle A, Kulkarni S, Banerjee S, Rajan M. Evaluation of Different Methods for the Detection of Anti- Thyroglobulin Autoantibody: Prevalence of Anti-Thyroglobulin Autoantibody and Anti-Microsomal Autoantibody in Thyroid Cancer Patients. Indian J Clin Biochem. 2022;37(4):473-479.
  530. Chiovato L, Latrofa F, Braverman LE, Pacini F, Capezzone M, Masserini L, Grasso L, Pinchera A. Disappearance of humoral thyroid autoimmunity after complete removal of thyroid antigens. Ann Intern Med. 2003;139(5 Pt 1):346-351.
  531. Kim WG, Yoon JH, Kim WB, Kim TY, Kim EY, Kim JM, Ryu JS, Gong G, Hong SJ, Shong YK. Change of serum antithyroglobulin antibody levels is useful for prediction of clinical recurrence in thyroglobulin-negative patients with differentiated thyroid carcinoma. J Clin Endocrinol Metab. 2008;93(12):4683-4689.
  532. Scappaticcio L, Trimboli P, Verburg FA, Giovanella L. Significance of "de novo" appearance of thyroglobulin antibodies in patients with differentiated thyroid cancer. Int J Biol Markers. 2020;35(3):41-49.
  533. Pacini F, Mariotti S, Formica N, Elisei R. Thyroid autoantibodies in thyroid cancer: Incidence and relationship with tumor outcome. Acta Endocrinol. 1988;119:373-380.
  534. Yamada O, Miyauchi A, Ito Y, Nakayama A, Yabuta T, Masuoka H, Fukushima M, Higashiyama T, Kihara M, Kobayashi K, Miya A. Changes in serum thyroglobulin antibody levels as a dynamic prognostic factor for early-phase recurrence of thyroglobulin antibody-positive papillary thyroid carcinoma after total thyroidectomy. Endocr J.2014;61(10):961-965.
  535. Gianoukakis AG. Thyroglobulin antibody status and differentiated thyroid cancer: what does it mean for prognosis and surveillance? Curr Opin Oncol. 2015;27(1):26-32.
  536. Lee ZJO, Eslick GD, Edirimanne S. Investigating Antithyroglobulin Antibody As a Prognostic Marker for Differentiated Thyroid Cancer: A Meta-Analysis and Systematic Review. Thyroid. 2020;30(11):1601-1612.
  537. Tomer Y, Greenberg D. The thyroglobulin gene as the first thyroid-specific susceptibility gene for autoimmune thyroid disease. Trends Mol Med. 2004;10(7):306-308.
  538. Vejbjerg P, Knudsen N, Perrild H, Laurberg P, Carlé A, Pedersen IB, Rasmussen LB, Ovesen L, Jørgensen T. Thyroglobulin as a marker of iodine nutrition status in the general population. Eur J Endocrinol. 2009;161(3):475-481.
  539. Wang Z, Zhang H, Zhang X, Sun J, Han C, Li C, Li Y, Teng X, Fan C, Liu A, Shan Z, Liu C, Weng J, Teng W. Serum thyroglobulin reference intervals in regions with adequate and more than adequate iodine intake. Medicine (Baltimore). 2016;95(48):e5273.
  540. Bath SC, Pop VJ, Furmidge-Owen VL, Broeren MA, Rayman MP. Thyroglobulin as a Functional Biomarker of Iodine Status in a Cohort Study of Pregnant Women in the United Kingdom. Thyroid. 2017;27(3):426-433.
  541. Vali M, Rose NR, Caturegli P. Thyroglobulin as autoantigen: structure-function relationships. Rev Endocr Metab Disord. 2000;1(1-2):69-77.
  542. Citterio CE, Machiavelli GA, Miras MB, Gruneiro-Papendieck L, Lachlan K, Sobrero G, Chiesa A, Walker J, Munoz L, Testa G, Belforte FS, Gonzalez-Sarmiento R, Rivolta CM, Targovnik HM. New insights into thyroglobulin gene: molecular analysis of seven novel mutations associated with goiter and hypothyroidism. Mol Cell Endocrinol.2013;365(2):277-291.
  543. Persani L, Rurale G, de Filippis T, Galazzi E, Muzza M, Fugazzola L. Genetics and management of congenital hypothyroidism. Best practice & research Clinical endocrinology & metabolism. 2018;32(4):387-396.
  544. Fernández-Cancio M, Antolín M, Clemente M, Campos-Martorell A, Mogas E, Baz-Redón N, Leno-Colorado J, Comas-Armangué G, García-Arumí E, Soler-Colomer L, González-Llorens N, Camats-Tarruella N, Yeste D. Clinical and molecular study of patients with thyroid dyshormogenesis and variants in the thyroglobulin gene. Front Endocrinol (Lausanne). 2024;15:1367808.
  545. Chow E, Siddique F, Gama R. Thyrotoxicosis factitia: role of thyroglobulin. Ann Clin Biochem. 2008;45(Pt 4):447-448; author reply 448.
  546. Jahagirdar VR, Strouhal P, Holder G, Gama R, Singh BM. Thyrotoxicosis factitia masquerading as recurrent Graves' disease: endogenous antibody immunoassay interference, a pitfall for the unwary. Ann Clin Biochem.2008;45(Pt 3):325-327.
  547. Vorasart P, Sriphrapradang C. Factitious thyrotoxicosis: how to find it. Diagnosis (Berl). 2020;7(2):141-145.
  548. Bögershausen LR, Giovanella L, Stief T, Luster M, Verburg FA. Long-term predictive value of highly sensitive thyroglobulin measurement. Clin Endocrinol (Oxf). 2023;98(4):622-628.
  549. Giovanella L, Milan L, Roll W, Weber M, Schenke S, Kreissl M, Vrachimis A, Pabst K, Murat T, Petranović Ovčariček P, Campenni A, Görges R, Ceriani L. Thyroglobulin measurement is the most powerful outcome predictor in differentiated thyroid cancer: a decision tree analysis in a European multicenter series. Clin Chem Lab Med. 2024;62(11):2307-2315.
  550. Giovanella L, D'Aurizio F, Petranović Ovčariček P, Görges R. Diagnostic, Theranostic and Prognostic Value of Thyroglobulin in Thyroid Cancer. J Clin Med. 2024;13(9).
  551. Chindris AM, Diehl NN, Crook JE, Fatourechi V, Smallridge RC. Undetectable sensitive serum thyroglobulin (<0.1 ng/ml) in 163 patients with follicular cell-derived thyroid cancer: results of rhTSH stimulation and neck ultrasonography and long-term biochemical and clinical follow-up. J Clin Endocrinol Metab. 2012;97(8):2714-2723.
  552. Trimboli P, La Torre D, Ceriani L, Condorelli E, Laurenti O, Romanelli F, Ventura C, Signore A, Valabrega S, Giovanella L. High sensitive thyroglobulin assay on thyroxine therapy: can it avoid stimulation test in low and high risk differentiated thyroid carcinoma patients? Horm Metab Res. 2013;45(9):664-668.
  553. Giovanella L, Castellana M, Trimboli P. Unstimulated high-sensitive thyroglobulin is a powerful prognostic predictor in patients with thyroid cancer. Clin Chem Lab Med. 2019;58(1):130-137.
  554. Fernández-Velasco P, Díaz-Soto G, Pérez López P, Torres Torres B, de Luis D. Predictive value and dynamic risk stratification of high sensitive basal or stimulated thyroglobulin assay in a long-term thyroid carcinoma cohort. Endocrine. 2023;81(1):116-122.
  555. Spencer C, Petrovic I, Fatemi S, LoPresti J. Serum thyroglobulin (Tg) monitoring of patients with differentiated thyroid cancer using sensitive (second-generation) immunometric assays can be disrupted by false-negative and false-positive serum thyroglobulin autoantibody misclassifications. J Clin Endocrinol Metab. 2014;99(12):4589-4599.
  556. Latrofa F, Ricci D, Sisti E, Piaggi P, Nencetti C, Marinò M, Vitti P. Significance of Low Levels of Thyroglobulin Autoantibodies Associated with Undetectable Thyroglobulin After Thyroidectomy for Differentiated Thyroid Carcinoma. Thyroid. 2016;26(6):798-806.
  557. Jindal A, Khan U. Is Thyroglobulin Level by Liquid Chromatography Tandem-Mass Spectrometry Always Reliable for Follow-Up of DTC After Thyroidectomy: A Report on Two Patients. Thyroid. 2016;26(9):1334-1335.
  558. Azmat U, Porter K, Senter L, Ringel MD, Nabhan F. Thyroglobulin Liquid Chromatography-Tandem Mass Spectrometry Has a Low Sensitivity for Detecting Structural Disease in Patients with Antithyroglobulin Antibodies. Thyroid. 2017;27(1):74-80.
  559. Spencer CA, Wang CC. Thyroglobulin measurement. Techniques, clinical benefits, and pitfalls. Endocrinol Metab Clin North Am. 1995;24(4):841-863.
  560. Ross HA, Netea-Maier RT, Schakenraad E, Bravenboer B, Hermus AR, Sweep FC. Assay bias may invalidate decision limits and affect comparability of serum thyroglobulin assay methods: an approach to reduce interpretation differences. Clin Chim Acta. 2008;394(1-2):104-109.
  561. Spencer C, Fatemi S, Singer P, Nicoloff J, Lopresti J. Serum Basal thyroglobulin measured by a second-generation assay correlates with the recombinant human thyrotropin-stimulated thyroglobulin response in patients treated for differentiated thyroid cancer. Thyroid. 2010;20(6):587-595.
  562. Giovanella L, Clark PM, Chiovato L, Duntas L, Elisei R, Feldt-Rasmussen U, Leenhardt L, Luster M, Schalin-Jäntti C, Schott M, Seregni E, Rimmele H, Smit J, Verburg FA. Thyroglobulin measurement using highly sensitive assays in patients with differentiated thyroid cancer: a clinical position paper. Eur J Endocrinol. 2014;171(2):R33-46.
  563. Iervasi A, Iervasi G, Ferdeghini M, Solimeo C, Bottoni A, Rossi L, Colato C, Zucchelli GC. Clinical relevance of highly sensitive Tg assay in monitoring patients treated for differentiated thyroid cancer. Clin Endocrinol (Oxf).2007;67(3):434-441.
  564. Bachelot A, Cailleux AF, Klain M, Baudin E, Ricard M, Bellon N, Caillou B, Travagli JP, Schlumberger M. Relationship between tumor burden and serum thyroglobulin level in patients with papillary and follicular thyroid carcinoma. Thyroid. 2002;12(8):707-711.
  565. Giovanella L, Imperiali M, Ferrari A, Palumbo A, Furlani L, Graziani MS, Castello R. Serum thyroglobulin reference values according to NACB criteria in healthy subjects with normal thyroid ultrasound. Clin Chem Lab Med.2012;50(5):891-893.
  566. Sobrero G, Munoz L, Bazzara L, Martin S, Silvano L, Iorkansky S, Bergoglio L, Spencer C, Miras M. Thyroglobulin reference values in a pediatric infant population. Thyroid. 2007;17(11):1049-1054.
  567. Sands NB, Karls S, Rivera J, Tamilia M, Hier MP, Black MJ, Gologan O, Payne RJ. Preoperative serum thyroglobulin as an adjunct to fine-needle aspiration in predicting well-differentiated thyroid cancer. J Otolaryngol Head Neck Surg. 2010;39(6):669-673.
  568. Trimboli P, Treglia G, Giovanella L. Preoperative measurement of serum thyroglobulin to predict malignancy in thyroid nodules: a systematic review. Horm Metab Res. 2015;47(4):247-252.
  569. Jo K, Kim MH, Ha J, Lim Y, Lee S, Bae JS, Jung CK, Kang MI, Cha BY, Lim DJ. Prognostic value of preoperative anti-thyroglobulin antibody in differentiated thyroid cancer. Clin Endocrinol (Oxf). 2017;87(3):292-299.
  570. Jang A, Jin M, Kim CA, Jeon MJ, Lee YM, Sung TY, Kim TY, Kim WB, Shong YK, Kim WG. Serum thyroglobulin testing after thyroid lobectomy in patients with 1-4 cm papillary thyroid carcinoma. Endocrine. 2023;81(2):290-297.
  571. Evans C, Lotz J, Bhandari M, Hellier RT, Wang XY, Lott R, Lackner KJ, Müller R, Kulasingam V. Multi-center evaluation of the highly sensitive Abbott ARCHITECT and Alinity thyroglobulin chemiluminescent microparticle immunoassay. J Clin Lab Anal. 2022;36(9):e24595.
  572. Heilig B, Hufner M, Dorken B, Schmidt-Gayk H. Increased heterogeneity of serum thyroglobulin in thyroid cancer patients as determined by monoclonal antibodies. Klin Wochenschr. 1986;64:776-780.
  573. Schulz R, Bethauser H, Stempka L, Heilig B, Moll A, Hufner M. Evidence for immunological differences between circulating and tissue-derived thyroglobulin in men. Eur J Clin Invest. 1989;19:459-463.
  574. Magro G, Perissinotto D, Schiappacassi M, Goletz S, Otto A, Müller EC, Bisceglia M, Brown G, Ellis T, Grasso S, Colombatti A, Perris R. Proteomic and postproteomic characterization of keratan sulfate-glycanated isoforms of thyroglobulin and transferrin uniquely elaborated by papillary thyroid carcinomas. Am J Pathol. 2003;163(1):183-196.
  575. Schlumberger M, Hitzel A, Toubert ME, Corone C, Troalen F, Schlageter MH, Claustrat F, Koscielny S, Taieb D, Toubeau M, Bonichon F, Borson-Chazot F, Leenhardt L, Schvartz C, Dejax C, Brenot-Rossi I, Torlontano M, Tenenbaum F, Bardet S, Bussière F, Girard JJ, Morel O, Schneegans O, Schlienger JL, Prost A, So D, Archambeaud F, Ricard M, Benhamou E. Comparison of seven serum thyroglobulin assays in the follow-up of papillary and follicular thyroid cancer patients. J Clin Endocrinol Metab. 2007;92(7):2487-2495.
  576. Shaw JB, Harvey SR, Du C, Xu Z, Edgington RM, Olmedillas E, Saphire EO, Wysocki VH. Protein Complex Heterogeneity and Topology Revealed by Electron Capture Charge Reduction and Surface Induced Dissociation. ACS Cent Sci. 2024;10(8):1537-1547.
  577. Jensen E, Petersen PH, Blaabjerg O, Hegedüs L. Biological variation of thyroid autoantibodies and thyroglobulin. Clin Chem Lab Med. 2007;45(8):1058-1064.
  578. Spencer CA, LoPresti JS. Measuring thyroglobulin and thyroglobulin autoantibody in patients with differentiated thyroid cancer. Nature clinical practice Endocrinology & metabolism. 2008;4(4):223-233.
  579. Grebe S. Soluble thyroid tumor markers – old and new challenges and potential solutions. NZ J Med Lab Science 2013;87:76-87.
  580. Grebe SK. Diagnosis and management of thyroid carcinoma: focus on serum thyroglobulin. Exp Rev Endocrinol Metab. 2009;4:25-43.
  581. Tomoda C, Miyauchi A. Undetectable serum thyroglobulin levels in patients with medullary thyroid carcinoma after total thyroidectomy without radioiodine ablation. Thyroid. 2012;22(7):680-682.
  582. Angell TE, Spencer CA, Rubino BD, Nicoloff JT, LoPresti JS. In search of an unstimulated thyroglobulin baseline value in low-risk papillary thyroid carcinoma patients not receiving radioactive iodine ablation. Thyroid.2014;24(7):1127-1133.
  583. Park S, Jeon MJ, Oh HS, Lee YM, Sung TY, Han M, Han JM, Kim TY, Chung KW, Kim WB, Shong YK, Kim WG. Changes in Serum Thyroglobulin Levels After Lobectomy in Patients with Low-Risk Papillary Thyroid Cancer. Thyroid. 2018;28(8):997-1003.
  584. Feldt-Rasmussen U, Profilis C, Colinet E, Black E, Bornet H, Bourdoux P, Carayon P, Ericsson UB, Koutras DA, Lamas de Leon L, DeNayer P, Pacini F, Palumbo G, Santos A, Schlumberger M, Seidel C, Van Herle AJ, JJM D. Human thyroglobulin reference material (CRM 457) 1st part: Assessment of homogeneity, stability and immunoreactivity. Ann Biol Clin. 1996;54:337-342.
  585. Feldt-Rasmussen U, Profilis C, Colinet E, Black E, Bornet H, Bourdoux P, Carayon P, Ericsson UB, Koutras DA, Lamas de Leon L, DeNayer P, Pacini F, Palumbo G, Santos A, Schlumberger M, Seidel C, Van Herle AJ, JJM D. Human thyroglobulin reference material (CRM 457) 2nd part: Physicochemical characterization and certification. Ann Biol Clin. 1996;54:343-348.
  586. Cubero JM, Rodríguez-Espinosa J, Gelpi C, Estorch M, Corcoy R. Thyroglobulin autoantibody levels below the cut-off for positivity can interfere with thyroglobulin measurement. Thyroid. 2003;13(7):659-661.
  587. Malandrino P, Tumino D, Russo M, Marescalco S, Fulco RA, Frasca F. Surveillance of patients with differentiated thyroid cancer and indeterminate response: a longitudinal study on basal thyroglobulin trend. J Endocrinol Invest.2019;42(10):1223-1230.
  588. Cole TG, Johnson D, Eveland BJ, Nahm MH. Cost-effective method for detection of "hook effect" in tumor marker immunometric assays. Clin Chem. 1993;39:695-696.
  589. Jassam N, Jones CM, Briscoe T, Horner JH. The hook effect: a need for constant vigilance. Ann Clin Biochem.2006;43(Pt 4):314-317.
  590. Leboeuf R, Langlois MF, Martin M, Ahnadi CE, Fink GD. "Hook effect" in calcitonin immunoradiometric assay in patients with metastatic medullary thyroid carcinoma: case report and review of the literature. J Clin Endocrinol Metab. 2006;91(2):361-364.
  591. Hillebrand JJ, Siegelaar SE, Heijboer AC. Falsely decreased thyroglobulin levels in a patient with differentiated thyroid carcinoma. Clin Chim Acta. 2020;509:217-219.
  592. Giovanella L, Ghelfo A. Undetectable serum thyroglobulin due to negative interference of heterophile antibodies in relapsing thyroid carcinoma. Clin Chem. 2007;53(10):1871-1872.
  593. Ross HA, Menheere PP, Thomas CM, Mudde AH, Kouwenberg M, Wolffenbuttel BH. Interference from heterophilic antibodies in seven current TSH assays. Ann Clin Biochem. 2008;45(Pt 6):616.
  594. Ding L, Shankara-Narayana N, Wood C, Ward P, Sidhu S, Clifton-Bligh R. Markedly elevated serum thyroglobulin associated with heterophile antibodies: a cautionary tale. Thyroid. 2013;23(6):771-772.
  595. Netzel BC, Grebe SK, Algeciras-Schimnich A. Usefulness of a thyroglobulin liquid chromatography-tandem mass spectrometry assay for evaluation of suspected heterophile interference. Clin Chem. 2014;60(7):1016-1018.
  596. Guastapaglia L, Chiamolera MI, Viana Lima Junior J, Ferrer CMF, Godoy Viana L, Veiga Chang C, Andrade Siqueira R, Monteiro Barros Maciel R, Henriques Vieira JG, Biscolla RPM. False diagnosis of recurrent thyroid carcinoma: the importance of testing for heterophile antibodies. Archives of endocrinology and metabolism.2024;68:e230115.
  597. Cheng F, Chen J, Wu BL, Yang X, Huang YS. A Rare Case of Falsely Elevated High-Sensitivity Cardiac Troponin T due to Antibody Interference and a Literature Review. Clin Lab. 2023;69(8).
  598. Spencer CA. Recoveries cannot be used to authenticate thyroglobulin (Tg) measurements when sera contain Tg autoantibodies. Clin Chem. 1996;42(5):661-663.
  599. Weigle WO, High GJ. The behaviour of autologous thyroglobulin in the circulation of rabbits immunized with either heterologous or altered homologous thyroglobulin. J Immunol. 1967;98:1105-1114.
  600. Feldt-Rasmussen U. Serum thyroglobulin and thyroglobulin autoantibodies in thyroid diseases. Pathogenic and diagnostic aspects. Allergy. 1983;38(6):369-387.
  601. Sellitti DF, Suzuki K. Intrinsic regulation of thyroid function by thyroglobulin. Thyroid. 2014;24(4):625-638.
  602. Igawa T, Haraya K, Hattori K. Sweeping antibody as a novel therapeutic antibody modality capable of eliminating soluble antigens from circulation. Immunological reviews. 2016;270(1):132-151.
  603. Latrofa F, Ricci D, Bottai S, Brozzi F, Chiovato L, Piaggi P, Marinò M, Vitti P. Effect of Thyroglobulin Autoantibodies on the Metabolic Clearance of Serum Thyroglobulin. Thyroid. 2018;28(3):288-294.
  604. Tozzoli R, Bizzaro N, Tonutti E, Pradella M, Manoni F, Vilalta D, Bassetti D, Piazza A, Rizzotti P. Immunoassay of anti-thyroid autoantibodies: high analytical variability in second generation methods. Clin Chem Lab Med.2002;40(6):568-573.
  605. Rosário PW, Maia FF, Fagundes TA, Vasconcelos FP, Cardoso LD, Purisch S. Antithyroglobulin antibodies in patients with differentiated thyroid carcinoma: methods of detection, interference with serum thyroglobulin measurement and clinical significance. Arquivos brasileiros de endocrinologia e metabologia. 2004;48(4):487-492.
  606. Feldt-Rasmussen U, Petersen PH, Date J, Madsen CM. Sequential changes in serum thyroglobulin (Tg) and its autoantibodies (TgAb) following subtotal thyroidectomy of patients with preoperatively detectable TgAb. Clin Endocrinol. 1980;12:29-38.
  607. Richards DB, Cookson LM, Berges AC, Barton SV, Lane T, Ritter JM, Fontana M, Moon JC, Pinzani M, Gillmore JD, Hawkins PN, Pepys MB. Therapeutic Clearance of Amyloid by Antibodies to Serum Amyloid P Component. N Engl J Med. 2015;373(12):1106-1114.
  608. Schneider AB, Pervos R. Radioimmunoassay of human thyroglobulin: effect of antithyroglobulin autoantibodies. J Clin Endocrinol Metab. 1978;47:126-137.
  609. Feldt-Rasmussen U, Rasmussen A K. Serum thyroglobulin (Tg)in presence of thyroglobulin autoantibodies (TgAb). Clinical and methodological relevance of the interaction between Tg and TgAb in vivo and in vitro. J Endocrinol Invest. 1985;8:571-576.
  610. Benvenga S, Burek CL, Talor M, Rose NR, Trimarchi F. Heterogeneity of the thyroglobulin epitopes associated with circulating thyroid hormone autoantibodies in hashimoto's thyroiditis and non-autoimmune thyroid diseases. J Endocrinol Invest. 2002;25(11):977-982.
  611. Crane MS, Strachan MW, Toft AD, Beckett GJ. Discordance in thyroglobulin measurements by radioimmunoassay and immunometric assay: a useful means of identifying thyroglobulin assay interference. Ann Clin Biochem.2013;50(Pt 5):421-432.
  612. Spencer C, Fatemi S. Thyroglobulin antibody (TgAb) methods - Strengths, pitfalls and clinical utility for monitoring TgAb-positive patients with differentiated thyroid cancer. Best practice & research Clinical endocrinology & metabolism. 2013;27(5):701-712.
  613. Van Herle AJ, Uller RP. Elevated serum thyroglobulin: a marker of metastases in differentiated thyroid carcinomas. J Clin Invest. 1975;56:272-277.
  614. Spencer CA, Platler BW, Nicoloff JT. The effect of 125-I thyroglobulin tracer heterogeneity on serum Tg RIA measurement. Clin Chim Acta. 1985;153:105-115.
  615. Spencer CA, Platler B, Guttler RB, Nicoloff JT. Heterogeneity of 125-I labelled thyroglobulin preparations. Clin Chim Acta. 1985;151:121-132.
  616. Black EG, Hoffenberg R. Should one measure serum thyroglobulin in the presence of anti-thyroglobulin antibodies? Clin Endocrinol. 1983;19:597-601.
  617. Mariotti S, Barbesino G, Caturegli P, Marino M, Manetti L, Pacini F, Centoni R, Pinchera A. Assay of thyroglobulin in serum with thyroglobulin autoantibodies: an unobtainable goal? J Clin Endocrinol Metab. 1995;80:468-472.
  618. Gholve C, Kumarasamy J, Damle A, Kulkarni S, Venkatesh M, Banerjee S, Rajan MGR. Comparison of Serum Thyroglobulin Levels in Differentiated Thyroid Cancer Patients Using In-House Developed Radioimmunoassay and Immunoradiometric Procedures. Indian J Clin Biochem. 2019;34(4):465-471.
  619. L E M Miles CNH. Labelled antibodies and immunological assay systems. Nature. 1968;219:186-189.
  620. Latrofa F, Ricci D, Grasso L, Vitti P, Masserini L, Basolo F, Ugolini C, Mascia G, Lucacchini A, Pinchera A. Characterization of thyroglobulin epitopes in patients with autoimmune and non-autoimmune thyroid diseases using recombinant human monoclonal thyroglobulin autoantibodies. J Clin Endocrinol Metab. 2008;93(2):591-596.
  621. Shuford CM, Johnson JS, Thompson JW, Holland PL, Hoofnagle AN, Grant RP. More sensitivity is always better: Measuring sub-clinical levels of serum thyroglobulin on a µLC-MS/MS system. Clin Mass Spectrom. 2020;15:29-35.
  622. Feldt-Rasmussen U, Verburg FA, Luster M, Cupini C, Chiovato L, Duntas L, Elisei R, Rimmele H, Seregni E, Smit JW, Theimer C, Giovanella L. Thyroglobulin autoantibodies as surrogate biomarkers in the management of patients with differentiated thyroid carcinoma. Curr Med Chem. 2014;21(32):3687-3692.
  623. Hsieh CJ, Wang PW. Sequential changes of serum antithyroglobulin antibody levels are a good predictor of disease activity in thyroglobulin-negative patients with papillary thyroid carcinoma. Thyroid. 2014;24(3):488-493.
  624. Matrone A, Latrofa F, Torregrossa L, Piaggi P, Gambale C, Faranda A, Ricci D, Agate L, Molinaro E, Basolo F, Vitti P, Elisei R. Changing Trend of Thyroglobulin Antibodies in Patients With Differentiated Thyroid Cancer Treated With Total Thyroidectomy Without (131)I Ablation. Thyroid. 2018;28(7):871-879.
  625. Thomas D, Liakos V, Vassiliou E, Hatzimarkou F, Tsatsoulis A, Kaldrimides P. Possible reasons for different pattern disappearance of thyroglobulin and thyroid peroxidase autoantibodies in patients with differentiated thyroid carcinoma following total thyroidectomy and iodine-131 ablation. J Endocrinol Invest. 2007;30(3):173-180.
  626. Hammarlund E, Thomas A, Amanna IJ, Holden LA, Slayden OD, Park B, Gao L, Slifka MK. Plasma cell survival in the absence of B cell memory. Nat Commun. 2017;8(1):1781.
  627. Tsushima Y, Miyauchi A, Ito Y, Kudo T, Masuoka H, Yabuta T, Fukushima M, Kihara M, Higashiyama T, Takamura Y, Kobayashi K, Miya A, Kikumori T, Imai T, Kiuchi T. Prognostic significance of changes in serum thyroglobulin antibody levels of pre- and post-total thyroidectomy in thyroglobulin antibody-positive papillary thyroid carcinoma patients. Endocr J. 2013;60(7):871-876.
  628. Uller RP, Van Herle AJ. Effect of therapy on serum thyroglobulin levels in patients with Graves' disease. J Clin Endocrinol Metab. 1978;46:747-755.
  629. Feldt-Rasmussen U, Blichert-Toft M, Christiansen C, Date J. Serum thyroglobulin and its autoantibody following subtotal thyroid resection of Graves' disease. Eur J Clin Invest. 1982;12(3):203-208.
  630. Benvenga S, Bartolone L, Squadrito S, Trimarchi F. Thyroid hormone autoantibodies elicited by diagnostic fine needle biopsy. J Clin Endocrinol Metab. 1997;82(12):4217-4223.
  631. Polyzos SA, Anastasilakis AD. Alterations in serum thyroid-related constituents after thyroid fine-needle biopsy: a systematic review. Thyroid. 2010;20(3):265-271.
  632. Al-Hilli Z, Strajina V, McKenzie TJ, Thompson GB, Farley DR, Regina Castro M, Algeciras-Schimnich A, Richards ML. Thyroglobulin Measurement in Fine-Needle Aspiration Improves the Diagnosis of Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma. Ann Surg Oncol. 2017;24(3):739-744.
  633. Feldt-Rasmussen U, Bech K, Date J, Hyltoft Pedersen P, Johansen K, Nistrup Madsen S. Thyroid stimulating antibodies, thyroglobulin antibodies and serum proteins during treatment of Graves' disease with radioiodine or propylthiouracil. Allergy. 1982;37(3):161-167.
  634. Feldt-Rasmussen U, Bech K, Date J, Petersen PH, Johansen K. A prospective study of the differential changes in serum thyroglobulin and its autoantibodies during propylthiouracil or radioiodine therapy of patients with Graves' disease. Acta Endocrinol (Copenh). 1982;99(3):379-385.
  635. Yin N, Sherman SI, Pak Y, Litofsky DR, Gianoukakis AG. The De Novo Detection of Anti-Thyroglobulin Antibodies and Differentiated Thyroid Cancer Recurrence. Thyroid. 2020;30(10):1490-1495.
  636. Donegan D, McIver B, Algeciras-Schimnich A. Clinical consequences of a change in anti-thyroglobulin antibody assays during the follow-up of patients with differentiated thyroid cancer. Endocr Pract. 2014;20(10):1032-1036.
  637. Davies L, Welch HG. Epidemiology of head and neck cancer in the United States. Otolaryngol Head Neck Surg.2006;135(3):451-457.
  638. Pellegriti G, Frasca F, Regalbuto C, Squatrito S, Vigneri R. Worldwide increasing incidence of thyroid cancer: update on epidemiology and risk factors. J Cancer Epidemiol. 2013;2013:965212.
  639. Lim H, Devesa SS, Sosa JA, Check D, Kitahara CM. Trends in Thyroid Cancer Incidence and Mortality in the United States, 1974-2013. Jama. 2017;317(13):1338-1348.
  640. Bell R, Weinberger DM, Venkatesh M, Fernandes-Taylor S, Francis DO, Davies L. Thyroid Cancer Incidence During 2020 to 2021 COVID-19 Variant Waves. JAMA Otolaryngol Head Neck Surg. 2024;150(11):969-977.
  641. Morosán YJ, Parisi C, Urrutia MA, Rosmarin M, Schnitman M, Serrano L, Luciani W, Faingold C, Pitoia F, Brenta G. Dynamic prediction of the risk of recurrence in patients over 60 years of age with differentiated thyroid carcinoma. Archives of endocrinology and metabolism. 2016;60(4):348-354.
  642. Hay ID, Johnson TR, Kaggal S, Reinalda MS, Iniguez-Ariza NM, Grant CS, Pittock ST, Thompson GB. Papillary Thyroid Carcinoma (PTC) in Children and Adults: Comparison of Initial Presentation and Long-Term Postoperative Outcome in 4432 Patients Consecutively Treated at the Mayo Clinic During Eight Decades (1936-2015). World J Surg. 2018;42(2):329-342.
  643. Sanabria A, Ferraz C, Ku CHC, Padovani R, Palacios K, Paz JL, Roman A, Smulever A, Vaisman F, Pitoia F. Implementing active surveillance for low-risk thyroid carcinoma into clinical practice: collaborative recommendations for Latin America. Archives of endocrinology and metabolism. 2024;68:e230371.
  644. Maniam P, Hey SY, Evans-Harding N, Li L, Conn B, Adamson RM, Hay AJ, Lyall M, Nixon IJ. Practice patterns in management of differentiated thyroid cancer since the 2014 British Thyroid Association (BTA) guidelines. Surgeon.2024;22(1):e54-e60.
  645. Smallridge RC, Diehl N, Bernet V. Practice trends in patients with persistent detectable thyroglobulin and negative diagnostic radioiodine whole body scans: a survey of American Thyroid Association members. Thyroid.2014;24(10):1501-1507.
  646. Rinaldi S, Plummer M, Biessy C, Tsilidis KK, Østergaard JN, Overvad K, Tjønneland A, Halkjaer J, Boutron-Ruault MC, Clavel-Chapelon F, Dossus L, Kaaks R, Lukanova A, Boeing H, Trichopoulou A, Lagiou P, Trichopoulos D, Palli D, Agnoli C, Tumino R, Vineis P, Panico S, Bueno-de-Mesquita HB, Peeters PH, Weiderpass E, Lund E, Quirós JR, Agudo A, Molina E, Larrañaga N, Navarro C, Ardanaz E, Manjer J, Almquist M, Sandström M, Hennings J, Khaw KT, Schmidt J, Travis RC, Byrnes G, Scalbert A, Romieu I, Gunter M, Riboli E, Franceschi S. Thyroid-stimulating hormone, thyroglobulin, and thyroid hormones and risk of differentiated thyroid carcinoma: the EPIC study. J Natl Cancer Inst. 2014;106(6):dju097.
  647. Petric R, Besic H, Besic N. Preoperative serum thyroglobulin concentration as a predictive factor of malignancy in small follicular and Hürthle cell neoplasms of the thyroid gland. World J Surg Oncol. 2014;12:282.
  648. Tian D, Li X, Jia Z. Analysis of Risk Factors and Risk Prediction for Cervical Lymph Node Metastasis in Thyroid Papillary Carcinoma. Cancer Manag Res. 2024;16:1571-1585.
  649. Rosignolo F, Maggisano V, Sponziello M, Celano M, Di Gioia CR, D'Agostino M, Giacomelli L, Verrienti A, Dima M, Pecce V, Durante C. Reduced expression of THRβ in papillary thyroid carcinomas: relationship with BRAF mutation, aggressiveness and miR expression. J Endocrinol Invest. 2015;38(12):1283-1289.
  650. Giovanella L, Ceriani L, Ghelfo A, Maffioli M, Keller F. Preoperative undetectable serum thyroglobulin in differentiated thyroid carcinoma: incidence, causes and management strategy. Clin Endocrinol (Oxf).2007;67(4):547-551.
  651. Durante C, Puxeddu E, Ferretti E, Morisi R, Moretti S, Bruno R, Barbi F, Avenia N, Scipioni A, Verrienti A, Tosi E, Cavaliere A, Gulino A, Filetti S, Russo D. BRAF mutations in papillary thyroid carcinomas inhibit genes involved in iodine metabolism. J Clin Endocrinol Metab. 2007;92(7):2840-2843.
  652. Tallini G, de Biase D, Durante C, Acquaviva G, Bisceglia M, Bruno R, Bacchi Reggiani ML, Casadei GP, Costante G, Cremonini N, Lamartina L, Meringolo D, Nardi F, Pession A, Rhoden KJ, Ronga G, Torlontano M, Verrienti A, Visani M, Filetti S. BRAF V600E and risk stratification of thyroid microcarcinoma: a multicenter pathological and clinical study. Mod Pathol. 2015;28(10):1343-1359.
  653. Haugen BR, Ladenson PW, Cooper DS, Pacini F, Reiners C, Luster M, Schlumberger M, Sherman SI, Samuels M, Graham K, Braverman LE, Skarulis MC, Davies TF, DeGroot L, Mazzaferri EL, Daniels GH, Ross DC, Becker DV, Mazon HR, Cavalieri RR, Spencer CA, McEllin K, Weintraub BD, EC. R. A comparison of Recombinant Human Thyrotropin and Thyroid Hormone Withdrawal for the Detection of Thyroid Remnant or Cancer. J Clin Endocrinol Metab. 1999;84:3877-3885.
  654. Giovanella L, Ceriani L, Suriano S, Ghelfo A, Maffioli M. Thyroglobulin measurement before rhTSH-aided 131I ablation in detecting metastases from differentiated thyroid carcinoma. Clin Endocrinol (Oxf). 2008;69(4):659-663.
  655. Zhu Y, Yang X, Liu Z, Zhang Q, Li Z, Hou X, Zhu H. Predictive value of thyroglobulin after radioiodine therapy for excellent response to treatment in postoperative thyroid cancer. Nucl Med Commun. 2024.
  656. Feldt-Rasmussen U, Petersen PH, Nielsen H, Date J. Thyroglobulin of varying molecular sizes with different disappearence rates in plasma following subtotal thyroidectomy. Clin Endocrinol (Oxf). 1978;9:205-?????
  657. Durante C, Montesano T, Attard M, Torlontano M, Monzani F, Costante G, Meringolo D, Ferdeghini M, Tumino S, Lamartina L, Paciaroni A, Massa M, Giacomelli L, Ronga G, Filetti S. Long-term surveillance of papillary thyroid cancer patients who do not undergo postoperative radioiodine remnant ablation: is there a role for serum thyroglobulin measurement? J Clin Endocrinol Metab. 2012;97(8):2748-2753.
  658. Padovani RP, Robenshtok E, Brokhin M, Tuttle RM. Even without additional therapy, serum thyroglobulin concentrations often decline for years after total thyroidectomy and radioactive remnant ablation in patients with differentiated thyroid cancer. Thyroid. 2012;22(8):778-783.
  659. Tuttle RM, Leboeuf R. Follow up approaches in thyroid cancer: a risk adapted paradigm. Endocrinol Metab Clin North Am. 2008;37(2):419-435, ix-x.
  660. Miyauchi A, Kudo T, Miya A, Kobayashi K, Ito Y, Takamura Y, Higashiyama T, Fukushima M, Kihara M, Inoue H, Tomoda C, Yabuta T, Masuoka H. Prognostic impact of serum thyroglobulin doubling-time under thyrotropin suppression in patients with papillary thyroid carcinoma who underwent total thyroidectomy. Thyroid.2011;21(7):707-716.
  661. Couto JS, Almeida MFO, Trindade VCG, Marone MMS, Scalissi NM, Cury AN, Ferraz C, Padovani RP. A cutoff thyroglobulin value suggestive of distant metastases in differentiated thyroid cancer patients. Braz J Med Biol Res.2020;53(11):e9781.
  662. Pacini F, Sabra MM, Tuttle RM. Clinical relevance of thyroglobulin doubling time in the management of patients with differentiated thyroid cancer. Thyroid. 2011;21(7):691-692.
  663. Miyauchi A, Kudo T, Kihara M, Higashiyama T, Ito Y, Kobayashi K, Miya A. Relationship of biochemically persistent disease and thyroglobulin-doubling time to age at surgery in patients with papillary thyroid carcinoma. Endocr J.2013;60(4):415-421.
  664. Giovanella L, Trimboli P, Verburg FA, Treglia G, Piccardo A, Foppiani L, Ceriani L. Thyroglobulin levels and thyroglobulin doubling time independently predict a positive 18F-FDG PET/CT scan in patients with biochemical recurrence of differentiated thyroid carcinoma. Eur J Nucl Med Mol Imaging. 2013;40(6):874-880.
  665. Giovanella L, Garo ML, Albano D, Görges R, Ceriani L. The role of thyroglobulin doubling time in differentiated thyroid cancer: a meta-analysis. Endocr Connect. 2022;11(4).
  666. Ito Y, Miyauchi A. Prognostic factors of papillary and follicular carcinomas based on pre-, intra-, and post-operative findings. Eur Thyroid J. 2024;13(5).
  667. Schlumberger M CP, Fragu P, Lumbroso J, Parmentier C and Tubiana M,. Circulating thyrotropin and thyroid hormones in patients with metastases of differentiated thyroid carcinoma: relationship to serum thyrotropin levels. J Clin Endocrinol Metab. 1980;51:513-519.
  668. Robbins RJ, Srivastava S, Shaha A, Ghossein R, Larson SM, Fleisher M, Tuttle RM. Factors influencing the basal and recombinant human thyrotropin-stimulated serum thyroglobulin in patients with metastatic thyroid carcinoma. J Clin Endocrinol Metab. 2004;89(12):6010-6016.
  669. Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, Mazzaferri EL, McIver B, Sherman SI, Tuttle RM. Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid.2006;16(2):109-142.
  670. Pacini F, Castagna MG. Diagnostic and therapeutic use of recombinant human TSH (rhTSH) in differentiated thyroid cancer. Best practice & research Clinical endocrinology & metabolism. 2008;22(6):1009-1021.
  671. Mazzaferri EL, Robbins RJ, Spencer CA, Braverman LE, Pacini F, Wartofsky L, Haugen BR, Sherman SI, Cooper DS, Braunstein GD, Lee S, Davies TF, Arafah BM, Ladenson PW, Pinchera A. A consensus report of the role of serum thyroglobulin as a monitoring method for low-risk patients with papillary thyroid carcinoma. J Clin Endocrinol Metab. 2003;88(4):1433-1441.
  672. Braverman L, Kloos RT, Law B, Jr., Kipnes M, Dionne M, Magner J. Evaluation of various doses of recombinant human thyrotropin in patients with multinodular goiters. Endocr Pract. 2008;14(7):832-839.
  673. Over R, Nsouli-Maktabi H, Burman KD, Jonklaas J. Age modifies the response to recombinant human thyrotropin. Thyroid. 2010;20(12):1377-1384.
  674. Smallridge RC, Meek SE, Morgan MA, Gates GS, Fox TP, Grebe S, Fatourechi V. Monitoring thyroglobulin in a sensitive immunoassay has comparable sensitivity to recombinant human tsh-stimulated thyroglobulin in follow-up of thyroid cancer patients. J Clin Endocrinol Metab. 2007;92(1):82-87.
  675. Mazzaferri EL. Will highly sensitive thyroglobulin assays change the management of thyroid cancer? Clin Endocrinol (Oxf). 2007;67(3):321-323.
  676. Chindris AM, Casler JD, Bernet VJ, Rivera M, Thomas C, Kachergus JM, Necela BM, Hay ID, Westphal SA, Grant CS, Thompson GB, Schlinkert RT, Thompson EA, Smallridge RC. Clinical and molecular features of Hürthle cell carcinoma of the thyroid. J Clin Endocrinol Metab. 2015;100(1):55-62.
  677. Benmoussa JA, Chen K, Najjar S, Applewhite M, Warshaw J. Lateral neck Cystic Mass: The Role of Thyroglobulin Measurement in Fine Needle Aspiration. Endocr Pract. 2018;24(8):767.
  678. Rotman-Pikielny P, Reynolds JC, Barker WC, Yen PM, Skarulis MC, Sarlis NJ. Recombinant human thyrotropin for the diagnosis and treatment of a highly functional metastatic struma ovarii. J Clin Endocrinol Metab.2000;85(1):237-244.
  679. Russo M, Marturano I, Masucci R, Caruso M, Fornito MC, Tumino D, Tavarelli M, Squatrito S, Pellegriti G. Metastatic malignant struma ovarii with coexistence of Hashimoto's thyroiditis. Endocrinol Diabetes Metab Case Rep. 2016;2016:160030.
  680. Trimboli P, Guidobaldi L, Bongiovanni M, Crescenzi A, Alevizaki M, Giovanella L. Use of fine-needle aspirate calcitonin to detect medullary thyroid carcinoma: A systematic review. Diagn Cytopathol. 2016;44(1):45-51.
  681. Randolph GW, Duh QY, Heller KS, LiVolsi VA, Mandel SJ, Steward DL, Tufano RP, Tuttle RM. The prognostic significance of nodal metastases from papillary thyroid carcinoma can be stratified based on the size and number of metastatic lymph nodes, as well as the presence of extranodal extension. Thyroid. 2012;22(11):1144-1152.
  682. Lin SY, Li MY, Zhou CP, Ao W, Huang WY, Wang SS, Yu JF, Tang ZH, Abdelhamid Ahmed AH, Wang TY, Wang ZH, Hua S, Randolph GW, Zhao WX, Wang B. Accurate preoperative prediction of nodal metastasis in papillary thyroid microcarcinoma: Towards optimal management of patients. Head Neck. 2024;46(5):1009-1019.
  683. Uruno T, Miyauchi A, Shimizu K, Tomoda C, Takamura Y, Ito Y, Miya A, Kobayashi K, Matsuzuka F, Amino N, Kuma K. Usefulness of thyroglobulin measurement in fine-needle aspiration biopsy specimens for diagnosing cervical lymph node metastasis in patients with papillary thyroid cancer. World J Surg. 2005;29(4):483-485.
  684. Boi F, Baghino G, Atzeni F, Lai ML, Faa G, Mariotti S. The diagnostic value for differentiated thyroid carcinoma metastases of thyroglobulin (Tg) measurement in washout fluid from fine-needle aspiration biopsy of neck lymph nodes is maintained in the presence of circulating anti-Tg antibodies. J Clin Endocrinol Metab. 2006;91(4):1364-1369.
  685. Snozek CL, Chambers EP, Reading CC, Sebo TJ, Sistrunk JW, Singh RJ, Grebe SK. Serum thyroglobulin, high-resolution ultrasound, and lymph node thyroglobulin in diagnosis of differentiated thyroid carcinoma nodal metastases. J Clin Endocrinol Metab. 2007;92(11):4278-4281.
  686. Torres MR, Nóbrega Neto SH, Rosas RJ, Martins AL, Ramos AL, da Cruz TR. Thyroglobulin in the washout fluid of lymph-node biopsy: what is its role in the follow-up of differentiated thyroid carcinoma? Thyroid. 2014;24(1):7-18.
  687. Tralongo P, Bruno C, Policardo F, Vegni F, Feraco A, Carlino A, Ferraro G, Milardi D, Navarra E, Pontecorvi A, Lombardi CP, Raffaelli M, Larocca LM, Pantanowitz L, Rossi ED. Diagnostic role of FNA cytology in the evaluation of cervical lymph nodes in thyroid cancers: Combined evaluation of thyroglobulin in eluate from FNA cytology. Cancer Cytopathol. 2023;131(11):693-700.
  688. Grani G, Sponziello M, Filetti S, Durante C. Thyroid nodules: diagnosis and management. Nat Rev Endocrinol.2024;20(12):715-728.
  689. Sakamoto K, Ozawa H, Sato Y, Nakaishi M, Sakanushi A, Matsunobu T, Okubo K, Shinden S. Cutoff value of thyroglobulin in needle aspirates for screening neck masses of thyroid carcinoma. Endocr Relat Cancer.2024;31(12).
  690. García-Molina F, Arense-Gonzalo JJ, Aguera-Sanchez A, Peña-Ros E, Ruiz-Marín M, Matínez-Perez M, Chaves-Benito A, Martínez-Diaz F. [Diagnosis of lymph node metastases from papillary thyroid carcinoma by measuring thyroglobulin in the puncture needle. Calculation of optimal cut-off point in our series]. Rev Esp Patol.2024;57(4):258-264.
  691. Chen J, Lin Z, Xu B, Lu T, Zhang X. The efficacy and assessment value of the level of thyroglobulin wash-out after fine-needle aspiration cytodiagnosis in the evaluation of lymph node metastasis in papillary thyroid carcinoma. World J Surg Oncol. 2024;22(1):149.
  692. Jeon MJ, Kim WG, Jang EK, Choi YM, Lee YM, Sung TY, Yoon JH, Chung KW, Hong SJ, Baek JH, Lee JH, Kim TY, Shong YK, Kim WB. Thyroglobulin level in fine-needle aspirates for preoperative diagnosis of cervical lymph node metastasis in patients with papillary thyroid carcinoma: two different cutoff values according to serum thyroglobulin level. Thyroid. 2015;25(4):410-416.
  693. Boi F, Maurelli I, Pinna G, Atzeni F, Piga M, Lai ML, Mariotti S. Calcitonin measurement in wash-out fluid from fine needle aspiration of neck masses in patients with primary and metastatic medullary thyroid carcinoma. J Clin Endocrinol Metab. 2007;92(6):2115-2118.
  694. Abraham D, Gault PM, Hunt J, Bentz J. Calcitonin estimation in neck lymph node fine-needle aspirate fluid prevents misinterpretation of cytology in patients with metastatic medullary thyroid cancer. Thyroid.2009;19(9):1015-1016.
  695. Ringel DM, Balducci-Silano PL, Anderson JS, Spencer CA, Silverman J, Sparling YH, Francis GL, Burman KD, Wartofsky L, Ladenson PW, Levine MA, Tuttle RM. Quantitative reverse transcriptase polymerase chain reaction of circulating thyroglobulin messenger RNAfor monitoring patients with thyroid carcinoma. J Clin Endocrinol Metab.1999;84:4037-4042.
  696. Barzon L, Boscaro M, Pacenti M, Taccaliti A, Palù G. Evaluation of circulating thyroid-specific transcripts as markers of thyroid cancer relapse. Int J Cancer. 2004;110(6):914-920.
  697. Gupta M, Chia SY. Circulating thyroid cancer markers. Current opinion in endocrinology, diabetes, and obesity.2007;14(5):383-388.
  698. Grammatopoulos D, Elliott Y, Smith SC, Brown I, Grieve RJ, Hillhouse EW, Levine MA, Ringel MD. Measurement of thyroglobulin mRNA in peripheral blood as an adjunctive test for monitoring thyroid cancer. Mol Pathol.2003;56(3):162-166.
  699. Ausavarat S, Sriprapaporn J, Satayaban B, Thongnoppakhun W, Laipiriyakun A, Amornkitticharoen B, Chanachai R, Pattanachak C. Circulating thyrotropin receptor messenger ribonucleic acid is not an effective marker in the follow-up of differentiated thyroid carcinoma. Thyroid Res. 2015;8:11.
  700. Biscolla RP, Cerutti JM, Maciel RM. Detection of recurrent thyroid cancer by sensitive nested reverse transcription-polymerase chain reaction of thyroglobulin and sodium/iodide symporter messenger ribonucleic acid transcripts in peripheral blood. J Clin Endocrinol Metab. 2000;85(10):3623-3627.
  701. Ringel MD. Molecular detection of thyroid cancer: differentiating "signal" and "noise" in clinical assays. J Clin Endocrinol Metab. 2004;89(1):29-32.
  702. Kaufmann S, Schmutzler C, Schomburg L, Körber C, Luster M, Rendl J, Reiners C, Köhrle J. Real time RT-PCR analysis of thyroglobulin mRNA in peripheral blood in patients with congenital athyreosis and with differentiated thyroid carcinoma after stimulation with recombinant human thyrotropin. Endocr Regul. 2004;38(2):41-49.
  703. Chelly J, Concordet JP, Kaplan JC, Kahn A. Illegitimate transcription: transcription of any gene in any cell type. Proc Natl Acad Sci U S A. 1989;86(8):2617-2621.
  704. Ghossein RA, Bhattacharya S. Molecular detection and characterization of circulating tumor cells and micrometastases in prostatic, urothelial, and renal cell carcinomas. Semin Surg Oncol. 2001;20(4):304-311.
  705. Savagner F, Rodien P, Reynier P, Rohmer V, Bigorgne JC, Malthiery Y. Analysis of Tg transcripts by real-time RT-PCR in the blood of thyroid cancer patients. J Clin Endocrinol Metab. 2002;87(2):635-639.
  706. Elisei R, Vivaldi A, Agate L, Molinaro E, Nencetti C, Grasso L, Pinchera A, Pacini F. Low specificity of blood thyroglobulin messenger ribonucleic acid assay prevents its use in the follow-up of differentiated thyroid cancer patients. J Clin Endocrinol Metab. 2004;89(1):33-39.
  707. Endo T, Kobayashi T. Thyroid-stimulating hormone receptor in brown adipose tissue is involved in the regulation of thermogenesis. Am J Physiol Endocrinol Metab. 2008;295(2):E514-518.
  708. Cianfarani F, Baldini E, Cavalli A, Marchioni E, Lembo L, Teson M, Persechino S, Zambruno G, Ulisse S, Odorisio T, D'Armiento M. TSH receptor and thyroid-specific gene expression in human skin. J Invest Dermatol.2010;130(1):93-101.
  709. Campennì A, Aguennouz M, Siracusa M, Alibrandi A, Polito F, Oteri R, Baldari S, Ruggeri RM, Giovanella L. Thyroid Cancer Persistence in Patients with Unreliable Thyroglobulin Measurement: Circulating microRNA as Candidate Alternative Biomarkers. Cancers (Basel). 2022;14(22).
  710. Fagin JA, Nikiforov YE. Progress in Thyroid Cancer Genomics: A 40-Year Journey. Thyroid. 2023;33(11):1271-1286.

 

Diabetic Retinopathy

ABSTRACT

 

Diabetic retinopathy is a significant life-altering complication affecting patients with diabetes. Understanding its pathogenesis, prevention, and treatment is critical to delivering effective and comprehensive care for patients with diabetes at all stages. This review discusses the risk factors, epidemiology, pathogenesis, clinical features, and treatment options for diabetic retinopathy, with an emphasis on practical information useful for endocrinologists and other non-ophthalmologists.

 

INTRODUCTION

 

Diabetic retinopathy (DR) is the most common microvascular complication of diabetes and a leading cause of blindness worldwide and in the US.1–3 The individual lifetime risk of DR is estimated to be 50–60% in patients with type 2 diabetes and over 90% in patients with type 1 diabetes.4 It is one of the most frequent causes of blindness in adults between 20-74 years of age in developed countries.5 The same pathologic mechanisms that damage the kidneys and other organs affect the microcirculation of the eye.6 With the global epidemic of diabetes, one expects that diabetes will be the leading global cause of vision loss in many countries.1,2 While DR is specific for diabetes, other eye disorders, such as glaucoma and cataracts, occur earlier and more frequently in people with diabetes.5

 

Often, by the time patients seek ophthalmologic examination and treatment, there are significant alterations of the retinal microvasculature. Therefore, it is important for non-ophthalmologists to recognize the importance of eye disease in patients with diabetes so that appropriate referral to eye-care specialists can be a part of their diabetes management program.

 

EPIDEMIOLOGY 

 

In the Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR), the prevalence of DR in patients with type 1 diabetes was 17% in those with less than 5 years of diabetes vs 98% in those with 15 or more years of diabetes.6Proliferative diabetic retinopathy (PDR) was absent in patients with type 1 diabetes of short duration but present in 48% of those with 15 or more years of diabetes. In patients with type 1 diabetes, the 25-year rate of progression of DR was 83%, with progression to PDR occurring in 42% of patients.7 Improvement of DR was observed in 18% of patients with type 1 diabetes. In the WESDR, 3.6% of patients with type 1 diabetes were legally blind, and 86% of the blindness was attributable to DR.8 The risk of blindness increases with the duration of diabetes.

 

In the WESDR, patients with type 2 diabetes of less than 5 years had a prevalence of DR of 28%, while in patients with greater than 15 years of diabetes, the prevalence was 78%.6 A considerable number of patients with type 2 diabetes (12-19%) have DR at the time of the diagnosis of diabetes.1 The prevalence of PDR was relatively low in patients with type 2 diabetes (2%) in patients with less than 5 years duration vs 16% in patients with greater than 15 years duration of diabetes.6 The prevalence of DR and PDR was greater in the patients with type 2 diabetes using insulin. In the patients with type 2 diabetes, 1.6% were legally blind, and one-third of cases of legal blindness were due to DR.8

 

Of note, the WESDR cohort is 99% white, and data suggest a higher prevalence of DR in Mexican-Americans and African-Americans with type 2 diabetes.6,9,10 Asians appear to have the same or lower prevalence of DR.1,10 DR occurs in both males and females with diabetes, but males appear to be at a slightly higher risk.9 Diabetic macular edema (DME) occurs more commonly in patients with type 2 diabetes, and with the marked increase in the prevalence of type 2 diabetes, DME is becoming more common.2 DME is over two times more prevalent than PDR.9

 

In a pooled analysis of 35 studies between 1980 and 2008, among 22,896 individuals with diabetes, the overall prevalence of DR was 34.6%, PDR 6.96%, DME 6.81%, and vision-threatening DR 10.2%.11 The longer the duration of diabetes, the greater the prevalence of all of these diabetic eye manifestations.11 Moreover, the prevalence of DR, PDR, and DME was greater in patients with type 1 diabetes (77%, 32%, and 14%) compared to patients with type 2 diabetes (32%, 3, and 6%).1,11

 

In developed countries the incidence and the risk of progression of DR have greatly declined in patients with type 1 and type 2 diabetes.1,2,12 The WESDR showed that from 1980 to 2007, the estimated annual incidence of PDR decreased by 77%, and vision impairment decreased by 57% in patients with type 1 diabetes.12 In an analysis of 28 studies with 27,120 patients, the rates of DR and PDR were lower among participants in 1986-2008 than in 1975-1985.13 Thus, patients with recently diagnosed type 1 or type 2 diabetes in developed countries have a much lower risk of PDR, DME, and visual impairment as compared with patients who developed diabetes in the past.1,12 This marked decrease in the prevalence and incidence of DR and vision impairment is likely due to improved glycemia control, early screening for eye disease, and the more aggressive treatment of blood pressure.1 However, in countries with limited medical resources, this reduced risk of DR and vision impairment is not occurring.2

 

In caring for patients with diabetes, health care providers must bear in mind the substantial risks of developing visual loss that these patients face and the treatments that can reduce this risk. For affected patients, diabetes-related visual loss decreases the quality of life and interferes with the performance of daily activities.

 

RISK FACTORS

 

Hyperglycemia

 

The most important treatable risk factor for the development of DR is hyperglycemia. In patients with both type 1 and type 2 diabetes, elevated HbA1c levels are associated with an increased risk and progression of DR.2,7,14–16 Most importantly, randomized controlled trials comparing intensive glycemic control vs. usual care demonstrated a decrease in DR. A meta-analysis of 6 relatively small randomized trials prior to the publication of the Diabetes Control and Complications Trial (DCCT) reported that after 2 to 5 years of intensive therapy the risk of retinopathy progression was significantly reduced (OR 0.49, P = 0.011).17 Intensive therapy significantly retarded retinopathy progression to more severe states such as PDR or changes requiring laser treatment (OR 0.44, P = 0.018).17

 

The DCCT was a randomized, controlled study of intensive glycemic control (HbA1c approximately 7%) vs. usual care (HbA1c approximately 9%) in 1,441 patients with type 1 diabetes.18 This study found that intensive glucose control reduced the risk of developing retinopathy by 76% compared to usual care. In patients with pre-existing retinopathy, intensive control slowed progression of the DR by 54%.18 For every 10% reduction in HbA1c (e.g., 10% to 9% or 9% to 8.1%) the risk of retinopathy progression was reduced on average by 44%.19 The DCCT participants were followed in an observational Epidemiology of Diabetes Interventions and Complications (EDIC) study. During the EDIC study, the mean HbA1c levels became very similar in the intensive and usual care group, with the HbA1c of the intensive treatment group increasing to approximately 8% and the usual care group HbA1c decreasing to approximately 8%.19 Despite the similar A1c levels in the 2 groups over 30 years there continued to be an approximately 50% risk reduction of further DR progression and the development of PDR and DME in the original intensive control group, a phenomenon termed metabolic memory.19 These results indicate the need for early intensive glucose control.

 

In the Kumamoto study, 110 patients with type 2 diabetes were randomly assigned to a multiple insulin injection treatment group (MIT group) or to a conventional insulin injection treatment group (CIT group) and followed for 6 years.20,21 HbA1c levels were 7.1% in the MIT group and 9.4% in the CIT group. Moreover, the development of DR after 6 years was 7.7% for the MIT group and 32.0% for the CIT group in the primary-prevention cohort (no microvascular disease at baseline) (P = 0.039), and progression of DR occurred in 19.2% of the MIT group and 44.0% of the CIT group in the secondary-intervention cohort (microvascular disease at baseline) (P = 0.049). This study demonstrated that improved glycemic control reduced DR in patients with type 2 diabetes.

 

In the UK Prospective Diabetes Study (UKPDS), 3,867 newly diagnosed patients with type 2 diabetes were randomized to diet therapy alone or to sulfonylureas or insulin with the goal of achieving a fasting glucose of 108 mg/dL (6mMol/L) in those treated with sulfonylureas or insulin (intensive group). Over 10 years, HbA1c levels were approximately 7.0% in the patients treated with sulfonylureas/insulin therapy compared with 7.9% in the diet group. This study found a 25% reduction in the risk of microvascular endpoints, including the need for retinal laser treatment, with intensive glucose control.22 A risk reduction of 21% per 1% decrease in HbA1c was observed in this trial. Patients were closely followed after the study ended, and HbA1c levels after one year became similar in the two groups. Similar to the results seen in the DCCT/EDIC study, the benefits on microvascular disease persisted in the intensive control group, confirming the concept of metabolic memory in patients with type 2 diabetes.23

 

The ACCORD study was a randomized trial that enrolled 10,251 individuals with type 2 diabetes of a mean duration of 10 years who were at high risk for cardiovascular disease to receive either intensive or standard treatment for glycemia (HbA1c 6.4% vs. 7.5%). A subgroup of 2,856 individuals were evaluated for the effects of intensive vs. standard care at 4 years on the progression of diabetic retinopathy by 3 or more steps on the Early Treatment Diabetic Retinopathy Study Severity Scale. After 4 years, the rates of progression of diabetic retinopathy were 7.3% in the intensive group vs.10.4% in the standard therapy group (odds ratio, 0.67; P=0.003).24 It should be noted that in an analysis of the entire ACCORD study cohort, three-line change in visual acuity was reduced in the intensive control group (HR 0.94, CI 0.89-1.00; p=0.05) but no differences in photocoagulation, vitrectomy, or severe visual loss were observed.25 Four years after the ACCORD trial ended, DR progressed in 5.8% of the intensive treatment group vs.12.7% in the standard treatment group (odds ratio 0.42, P < 0.0001),26 once again confirming the concept of metabolic memory.

 

It should be noted that two large cardiovascular outcome trials, the ADVANCE trial and the VADT, failed to demonstrate a benefit of intensive glucose control on diabetic retinopathy.27,28 However, these trials enrolled patients who already had diabetes for several years prior to enrollment, so they likely had not had the opportunity to develop the metabolic memory that could yield better retinopathy outcomes. Additionally, a meta-analysis of the four large cardiovascular outcome studies in patients with type 2 diabetes (UKPDS, ACCORD, ADVANCE, and VADT) found that more intensive glucose control resulted in a decrease in HbA1c of -0.90% and a 13% reduction in the need for retinal photocoagulation therapy or vitrectomy, development of PDR, or progression of DR.29 Another meta-analysis of 7 trials with 10,793 participants reported a 20% decrease in DR with intensive glycemic control (0.80, 0.67 to 0.94; P=0.009).30

 

Taken together, these results clearly demonstrate that in patients with both type 1 and type 2 diabetes, improvements in glycemic control will reduce the risk of the development and progression of DR. 

 

Rapid Improvement in Glycemic Control

 

Deterioration of DR, upon initiation of intensive diabetes treatment, was described in the 1980s in patients with type 1 diabetes who were treated intensively with continuous subcutaneous insulin infusions.31–34 In patients with poor glycemic control and DR, rapidly improving glycemic control can worsen DR and, in some instances, result in PDR or DME. This worsening can occur as soon as 3 months after initiating intensive glycemic control. In the DCCT early worsening was observed at the 6- and/or 12-month visit in 13.1% of patients in the intensive treatment group and in 7.6% of patients assigned to conventional treatment (odds ratio, 2.06; P < .001).35 In the DCCT the most important risk factors for early worsening of DR were a higher HbA1c level and reduction of this level during the first 6 months of treatment.35 It must be recognized that in the DCCT the long-term ophthalmic outcomes in intensively treated patients who had early worsening were similar to or more favorable than outcomes in conventionally treated patients. This early worsening of DR with improved glycemic control has also been described in patients with type 2 diabetes treated with insulin or GLP-1 agonists, following bariatric surgery, in pregnant women with diabetes, and following pancreatic transplants in patients with type 1 diabetes.36 The mechanism(s) leading to early worsening of DR with improvements in glycemic control are unknown (36). The FOCUS study (NCT03811561) is evaluating this further by comparing the rate of 3-step ETDRS severity level progression, and other DR-related outcomes, at 5 years in patients on semaglutide versus placebo.

 

While this worsening is distressing, it must be recognized that the long-term benefits of improving glycemic control on DR greatly outweigh the risks of early worsening.

 

Hypertension

 

In the WESDR, blood pressure (BP) was not related to incidence or progression of retinopathy in the patients with type 2 diabetes using insulin or the type 2 patients not using insulin, but in the patients with type 1 diabetes systolic BP was a significant predictor of the incidence of DR.37 In contrast, in the UKPDS and other studies high BP in patients with type 2 was associated with the development of DR.2,16,38 In one prospective study the risk of DR increased by 30% for every 10 mm Hg increase in systolic BP at baseline.39

 

While observational studies can show an association, randomized controlled trials are required to demonstrate causation and the benefits of treatment. A number of studies have examined the effect of lowering BP in patients with hypertension on the development and progression of DR.

 

STUDIES IN PATIENTS WITH HYPERTENSION

 

The UKPDS examined the effect of tight vs. less tight BP control in 1,148 hypertensive patients with type 2 diabetes.40 In the tight BP control group (captopril and atenolol), BP was significantly reduced compared to the less tight group (144/82 mm Hg vs.154/87 mm Hg; (P<0.0001). After nine years the tight BP control group had a 34% reduction in the deterioration of retinopathy (P=0.0004) and a 47% reduced risk (P=0.004) of deterioration in visual acuity. Additionally, patients in the tight BP group were less likely to undergo photocoagulation (RR, 0.65; P = 0.03), a difference primarily due to a decrease in photocoagulation due to maculopathy (RR, 0.58; P = 0.02).41 In contrast to glycemic control, the benefits of lowering BP were not sustained when therapy was discontinued and the differences in blood pressure were not maintained, indicating the absence of metabolic memory.42

 

The HOPE study was a randomized study that compared ramipril vs. placebo in 3,577 participants with diabetes who had a previous cardiovascular event or at least one other cardiovascular risk factor.43 The baseline BP was approximately 142/80 mm Hg, and BP decreased by 1.92/3.3 mm Hg in the ramipril group vs a 0.55 mm Hg increase in systolic BP and 2.30 mm Hg decrease in diastolic BP in the placebo group.  This study was not focused on DR but did report that the need for laser was 9.4% in the ramipril group vs. 10.5% in the placebo group (22% decrease; P=0.24). Another ACE inhibitor, lisinopril, was found in a two-year, placebo-controlled trial to be associated with lower rates of retinopathy progression in non-hypertensive patients with type 1 diabetes.44

 

The ADVANCE study examined the effect of BP control on DR in 1,241 patients with type 2 diabetes.45 Patients were randomized to BP-lowering agents (perindopril and indapamide) or placebo and followed for approximately 4-5 years. Baseline BP was approximately 143/79 mmHg. In the group randomized to BP medications, a decrease in systolic BP of 6.1 ± 1.2 mmHg and diastolic BP of 2.3 ± 0.6 mmHg was observed (p < 0.001 for both).  Fewer patients on BP lowering therapy experienced new or worsening DR compared with those on placebo (OR 0.78; 95% CI 0.57–1.06; p = 0.12), but the difference was not quite statistically significant; as mentioned above, this could be attributable to the fact that patients had diabetes for a long period prior to enrollment. Certain secondary outcomes were significantly reduced (for example DME) in the BP lowering group, but most other eye end points were not significantly decreased compared to the placebo group.

 

The ACCORD eye study evaluated 2,856 patients with type 2 diabetes for the effect of intensive BP control (BP<120 mm Hg) vs standard BP control (BP<140 mm Hg) on the progression of DR after 4 years of treatment.24 Systolic BP was 117 mm Hg in the intensive-therapy group and 133 mm Hg in the standard-therapy group. The progression of DR was 10.4% with intensive blood-pressure therapy vs. 8.8% with standard therapy (adjusted odds ratio, 1.23; P=0.29).

 

The Appropriate Blood Pressure Control in Diabetes (ABCD2) Trial was a randomized blinded trial that compared the effects of intensive versus moderate BP control in 470 patients with type 2 diabetes and hypertension.46 The intensive group was treated with either nisoldipine or enalapril, while the usual care BP group received placebo. The mean blood pressure achieved was 132/78 mm Hg in the intensive group and 138/86 mm Hg in the moderate group. Over the 5-year follow-up period, there was no difference in the progression of DR between the intensive and moderate groups.

 

Thus, in patients with hypertension, randomized trials of lowering BP have not consistently shown beneficial effects on DR.

 

BASIS FOR VARIABILITY

 

There are numerous possible explanations for the differences in results between these studies. First, the duration of diabetes prior to enrollment in a diabetes-management trial will impact the subsequent outcomes and risk of developing complications. Second, the severity of the hypertension may be important, with greater responses in individuals with higher BP levels. Third, the magnitude of the reduction in BP may be important, with greater benefit with greater decreases in BP. Fourth, the duration of the study may be an important variable, with the longer the study the greater the chances of benefits. Fifth, the presence of DR at baseline and the severity of DR at baseline may influence the response to BP lowering. Sixth, patient variables such as glycemic control, age, diabetes type, duration of diabetes, etc., may influence results. Finally, the drugs used to lower BP may be a key variable as described below.

 

STUDIES IN PATIENTS WITH NORMAL BP

 

Because of the potential benefits of angiotensin converting enzyme inhibitors (ACE inhibitors) and angiotensin receptor inhibitors (ARBs) (Renin-Angiotensin System (RAS) inhibitors) on microvascular disease independent of BP effects, a number of studies have explored the effects of these drugs on DR in patients without elevated BP. Below we briefly describe the largest of these studies.

 

The EUCLID trial was a randomized double-blind placebo-controlled trial in 354 patients with type 1 diabetes who were not hypertensive and were normoalbuminuric (85%) or microalbuminuric.44 Study participants were randomized to lisinopril or placebo and followed for 2 years. Systolic BP was 3 mm Hg lower in the lisinopril group than in the placebo group. DR progressed in 23.4% of patients in the placebo group and 13.2% of patients in the lisinopril group (p=0.02). Notably progression to PDR was also reduced in the lisinopril treated group.

 

The Appropriate Blood Pressure Control in Diabetes (ABCD1) trial was a randomized trial in 480 normotensive type 2 diabetic subjects of more intensive vs. usual BP control.47 The intensive group was treated with either nisoldipine or enalapril, while the usual care BP group received placebo. Mean BP in the intensive group was 128/75 mm Hg vs. 137/81 mm Hg in the placebo group (P < 0.0001). After a mean follow-up of 5.4 years, the intensive BP control group demonstrated less progression of diabetic retinopathy (34% vs. 46%, P = 0.019). PDR developed in 0% of patients in the intensive therapy group vs. 3.9% in the placebo group. However, in patients who at baseline did not have DR, the number of patients developing retinopathy was similar in the two groups (39% of patients in the intensive therapy group vs. 42% in the placebo group).

 

The DIRECT- Prevent 1 trial was a randomized, double-blind, placebo-controlled trial in 1,421 normotensive, normoalbuminuric individuals with type 1 diabetes without retinopathy.48 Patients were randomized to candesartan or placebo and followed for 4.7 years. Mean systolic and diastolic BP was reduced by 2.6 mm Hg and 2.7 mm Hg, respectively, in the candesartan group vs. the placebo group. DR developed in 25% of the participants in the candesartan group vs. 31% in the placebo group (18% decrease). 

 

The Direct Protect 1 was a randomized, double-blind, placebo-controlled trial in 1,905 normotensive, normoalbuminuric patients with type 1 diabetes with existing retinopathy.48 Patients were randomized to candesartan or placebo and followed for 4.7 years. Mean systolic and diastolic BP was reduced by 3.6 mm Hg and 2.5 mm Hg, respectively, in the candesartan group versus the placebo group. There was an identical 13% progression of DR in the placebo and candesartan groups, and progression to the combined secondary endpoint of PDR or clinically significant DME, or both, did not differ between the two groups.

 

The DIRECT-Protect 2 trial was a randomized, double-blind, placebo-controlled trial in 1,905 normoalbuminuric, normotensive, or treated hypertensive people with type 2 diabetes with mild to moderately severe retinopathy.49 Patients were randomized to candesartan or placebo and followed for 4.7 years. The decrease in systolic/diastolic blood pressure was 4.3/2.5 mm Hg greater in the candesartan group than in the placebo group in individuals who were receiving antihypertensive treatment at baseline (p<0·0001 for both), and for those not on anti-hypertensive therapy at baseline the decrease was 2.9/1.3 mm Hg (p=0.0003/p=0.0045). The risk of progression of retinopathy was non-significantly reduced by 13% in patients on candesartan compared to the placebo group (HR 0.87; p=0.20). However, regression on active treatment was increased by 34% (HR 1.34; p=0.009), and overall change towards less severe retinopathy by the end of the trial was observed in the candesartan group (odds 1.17; p=0.003).

 

The RASS trial was a controlled trial involving 223 normotensive patients with type 1 diabetes and normoalbuminuria and who were randomly assigned to receive losartan, enalapril, or placebo.50 The systolic and diastolic BP during the study were lower in the enalapril group (113/66 mm Hg) and the losartan group (115/66 mm Hg) than in the placebo group (117/68 mm Hg) (P<0.001 for the two systolic and P≤0.02 for the two diastolic comparisons, respectively). After 5 years progression in DR occurred in 38% of patients receiving placebo but only 25% of those receiving enalapril (P=0.02) and 21% of those receiving losartan (P=0.008).   

 

META-ANALYSIS OF ACE INHIBITORS AND ARBS

 

Many of the studies described above used either an ACE inhibitor or an ARB with variable results on DR. To better understand the effect of RAS inhibitors on DR, a meta-analysis has extensively examined these studies and a number of other trials.51 In 7 studies with 3,705 participants without DR, RAS inhibitors reduced the development of DR by 27% (p= 0.00006). This decrease in the development of DR was seen in patients with both type 1 and type 2 diabetes and patients who were hypertensive or normotensive. In 16 studies with 9,580 participants with pre-existing DR, RAS inhibitors decreased the progression of DR by 13% (p=0.00006). This decrease in progression of DR was seen in patients with both type 1 and type 2 diabetes and patients who were normotensive. In hypertensive patients there was a trend (7% decrease) that was not statistically significant. It should be noted that in the hypertensive patients RAS inhibitors were compared to other hypertensive drugs, and the number of hypertensive participants was relatively small (n=839). Therefore, the absence of a decrease in progression of DR in hypertensive patients is not definitive. Six studies with 2,624 participants examined the effect of RAS inhibitors on inducing regression of DR. RAS inhibitors increased the regression of DR by 39% (p=0.00002), and this beneficial effect was seen in patients with type 1 and type 2 diabetes. ACE inhibitors were more effective in reducing the development, progression, and regression of DR than ARBs. Thus, with the data available, RAS inhibitors appear to have benefits on DR above and beyond their effects on BP control.  

 

CONCLUSION 

 

Observational studies have shown an association of elevated BP with a higher risk of DR. As should be obvious from the above discussion, the beneficial effects of lowering BP in hypertensive patients on DR have not produced consistent results. Several large carefully carried out studies have failed to demonstrate a beneficial effect of lowering BP on DR (ACCORD, ADVANCE, ABCD2). Potential reasons for this inconsistency were discussed above. It is unlikely that future studies will provide definitive data on this issue, as lowering BP in hypertensive patients with diabetes to prevent cardiovascular disease is essential, and therefore designing clinical trials regarding DR will be very difficult. From the clinician’s viewpoint, treating hypertension in patients with diabetes to prevent cardiovascular disease is standard therapy and may also have beneficial effects DR. Similar to the beneficial effects on renal disease, RAS inhibitors appear to decrease the development and progression of DR, and therefore when treating patients with diabetes who are hypertensive, one should be preferentially consider RAS inhibitors to lower BP in patients with or at high risk of DR. In normotensive patients the available data suggests that RAS inhibition will have beneficial effects on DR, and further studies in this population are possible and would be informative.          

 

Hyperlipidemia

 

Observational studies of the association of plasma lipids with DR have been inconsistent 52 with some studies reporting an increased risk of DR with elevated lipid levels,53–57 while other studies have not observed a relationship between lipid levels and DR.10,38,58–60 Of note a Mendelian randomization study did not demonstrate a causal role of total cholesterol, LDL cholesterol, HDL cholesterol, or triglycerides on DR.61 From the clinician’s point of view the key question is whether lowering lipid levels will have a beneficial effect on DR.

 

FIBRATES

 

Small studies in the 1960’s presented evidence that treatment with clofibrate improved diabetic retinopathy.62,63 Larger randomized studies have confirmed these observations.

 

The Fenofibrate Intervention and Event Lowering in Diabetes (FIELD) study was a randomized trial in patients with Type 2 diabetes. Patients were randomly assigned to receive either fenofibrate 200 mg/day (n=4895) or placebo (n=4900). Laser treatment for retinopathy was significantly lower in the fenofibrate group than in the placebo group (3.4% patients on fenofibrate vs 4.9% on placebo; p=0.0002).64 Fenofibrate therapy reduced the need for laser therapy to a similar extent for maculopathy (31% decrease) and for proliferative retinopathy (30% decrease). In the ophthalmology sub-study (n=1012), the primary endpoint of 2-step progression of retinopathy grade did not differ significantly between the fenofibrate and control groups (9.6% patients on fenofibrate vs 12.3% on placebo; p=0.19). In patients without pre-existing retinopathy there was no difference in progression (11.4% vs 11.7%; p=0.87). However, in patients with pre-existing retinopathy, significantly fewer patients on fenofibrate had a 2-step progression than did those on placebo (3.1% patients vs 14.6%; p=0.004). A composite endpoint of 2-step progression of retinopathy grade, macular edema, or laser treatments was significantly reduced in the fenofibrate group (HR 0.66, 95% CI 0.47-0.94; p=0.022).

 

In the ACCORD Study a subgroup of participants was evaluated for the progression of diabetic retinopathy by 3 or more steps on the Early Treatment Diabetic Retinopathy Study Severity Scale or the development of diabetic retinopathy necessitating laser photocoagulation or vitrectomy over a four-year period.24 At 4 years, the rates of progression of diabetic retinopathy were 6.5% with fenofibrate therapy (n=806) vs. 10.2% with placebo (n=787) (adjusted odds ratio, 0.60; 95% CI, 0.42 to 0.87; P = 0.006). Of note, this reduction in the progression of diabetic retinopathy was of a similar magnitude as intensive glycemic treatment vs. standard therapy.

 

A double-blind, randomized, placebo-controlled study in 296 patients with type 2 diabetes mellitus and DR evaluated the effect of placebo or etofibrate on DR.65 After 12 months an improvement in ocular pathology was more frequent in the etofibrate group vs the placebo group ((46% versus 32%; p< 0.001).

 

The MacuFen study was a small double-blind, randomized, placebo-controlled study in 110 subjects with DME who did not require immediate photocoagulation or intraocular treatment. Patients were randomized to fenofibrate for placebo for 1 year. Patients treated with fenofibrate acid had a modest improvement in total macular volume that was not statistically significant compared to the placebo group.

 

Based on these trials a large trial specifically designed to investigate the ocular effects of fenofibrate was carried out (The Lowering Events in Non-proliferative retinopathy in Scotland (LENS) trial).65a In this trial 1151 patients with diabetic retinopathy or maculopathy were randomized to fenofibrate 145mg (n= 576) or placebo (n= 575) for a median of 4.0 years. Progression of diabetic retinopathy or maculopathy requiring referral or treatment (primary endpoint) occurred in 22.7% of patients in the fenofibrate group and 29.2% of patients in the placebo group (HR 0.73; 95% CI 0.58 to 0.91; P=0.006). Any progression of retinopathy or maculopathy was reduced by 26%, the development of macular edema by 50%, and the need for treatment with intravitreal injection, retinal laser, vitrectomy by 42% in the fenofibrate group.

 

Taken together these results indicate that fibrates have beneficial effects on the progression of diabetic retinopathy.66The mechanisms by which fibrates decrease diabetic retinopathy are unknown, and whether decreases in serum triglyceride levels plays an important role is uncertain. Fibrates activate PPAR alpha, which is expressed in the retina.67Diabetic PPARα KO mice developed more severe DR while overexpression of PPARα in the retina of diabetic rats significantly alleviated diabetes-induced retinal vascular leakage and retinal inflammation, suggesting that fibrates could have direct effects on the retina to reduce DR.67

 

STATINS

 

Several large database studies have suggested that statin use reduces the development of DR.68–71 Unfortunately, the number of randomized clinical trials testing the hypothesis that statin therapy reduces DR development or progression is very limited.

 

In a study by Sen and colleagues, 50 patients with diabetes mellitus (Type 1 and 2) with good glycemic control and hypercholesterolemia and having DR were randomized to simvastatin vs. placebo.72 Visual acuity improved in four patients using simvastatin and decreased in seven patients in the placebo group and none in the simvastatin group (P = 0.009). Fundus fluorescein angiography and color fundus photography showed improvement in one patient in the simvastatin group, while seven patients showed worsening in the placebo group (P = 0.009).

 

In a study by Gupta and colleagues, 30 patients with type 2 diabetes with clinically significant macular edema, dyslipidemia, and grade 4 hard exudates were randomized to receive atorvastatin or no lipid lowering drugs.73 All patients received laser therapy. Ten (66.6%) of 15 patients treated with atorvastatin and two (13.3%) of 15 patients in the control group showed a reduction in hard exudates (P =.007). None of the patients treated with atorvastatin and five (33.3%) of 15 in the control group showed subfoveal lipid migration after laser photocoagulation (P =.04). Regression of macular edema was seen in nine eyes in the atorvastatin group and five in the control group (P =.27).

 

In a study by Narang and colleagues, 30 patients with clinically significant macular edema with a normal lipid profile were randomly treated with atorvastatin or with no lipid lowering drugs. All patients received laser therapy. After a 6-month follow-up visual acuity, macular edema and hard exudates resolution was not significantly different in the two groups.

 

The data on the benefit of statin therapy on DR are not very strong. Given the current recommendations to prevent cardiovascular disease, most patients with diabetes are treated with statins, and therefore it is unlikely that large, randomized trials of the effect of statin therapy on DR are feasible.

 

OMEGA-3-FATTY ACIDS

 

A Study of Cardiovascular Events in Diabetes (ASCEND) was a randomized, placebo controlled, double blind, cardiovascular outcome trial of 1-gram omega-3-fatty acids (400 mg EPA and 300 mg DHA ethyl esters) vs. olive oil placebo in 15,480 patients with diabetes without a history of cardiovascular disease (primary prevention trial).74 Total cholesterol, HDL-C, and non-HDL-C levels were not significantly altered by omega-3-fatty acid treatment (changes in TG levels were not reported). After a mean follow-up of 7.4 years the development of retinopathy and the need for laser therapy based on self-report was similar in the omega-3-fatty acid and placebo group. Additionally, there was no difference in patients being referred for retinopathy or maculopathy.74a Thus, at this time there is no evidence that omega-3-fatty acids influence DR.

 

NIACIN

 

It has been estimated that 0.67% of patients treated with niacin develop macular edema.75 

 

Pregnancy

 

Diabetic retinopathy may progress during pregnancy and up to one year postpartum. For additional information on retinopathy during pregnancy see the chapter in Endotext on “Diabetes in Pregnancy.”76

 

Genetics

 

Some individuals develop DR despite good glycemic control and short duration of disease, while others do not develop DR, even with poor glycemic control and longer duration of diabetes.77 Additionally, the strongest environmental factors (duration of diabetes and HbA1c) only explained about 11% of the variation in DR risk in the DCCT trial and 10% in the WESDR study.12,78 Thus, factors other than glycemic control play an important role. There is a familial relationship in the development of DR, as twin and family studies indicate a genetic basis.79,80 The differences in the prevalence of DR in different ethnic groups may be related to genetic factors.79 Unfortunately, the identification of genetic susceptibility loci for DR through candidate gene approaches, linkage studies, and GWAS has not provided conclusive results.79–81 From a clinician’s point of view, if there is a family history of DR, one should aggressively control risk factors for DR and ensure close eye follow-up.  

 

SCREENING

 

The American Academy of Ophthalmology has recommended screening for diabetic retinopathy 5 years after diagnosis in patients with type 1 diabetes, and at the time of diagnosis in patients with type 2 diabetes. Patients without retinopathy should undergo dilated fundus examination annually. If mild non-proliferative diabetic retinopathy (NPDR) is present, exams should be repeated every 9 months. Patients with moderate NPDR should be examined every 6 months. In severe NPDR, exams should be conducted every 3 months. Patients with a new diagnosis of proliferative diabetic retinopathy should be examined every 2 to 3 months, until they are deemed stable, at which point examinations can be performed less frequently. During pregnancy, patients should be examined every 3 months, since retinopathy can progress rapidly in this setting (2019 AAO preferred practice pattern document for monitoring diabetic retinopathy:  https://www.aao.org/preferred-practice-pattern/diabetic-retinopathy-ppp).

 

The American Diabetes Association 2024 guidelines 5 recommend the following:

 

  • Adults with type 1 diabetes should have an initial dilated and comprehensive eye examination by an ophthalmologist or optometrist within 5 years after the onset of diabetes.
  • Patients with type 2 diabetes should have an initial dilated and comprehensive eye examination by an ophthalmologist or optometrist at the time of the diabetes diagnosis.
  • If there is no evidence of retinopathy for one or more annual eye exams and glycemia is well controlled, then screening every 1–2 years may be considered. If any level of diabetic retinopathy is present, subsequent dilated retinal examinations should be repeated at least annually by an ophthalmologist or optometrist. If retinopathy is progressing or sight-threatening, then examinations will be required more frequently.
  • Programs that use retinal photography (with remote reading or use of a validated assessment tool) to improve access to diabetic retinopathy screening can be appropriate screening strategies for diabetic retinopathy. Such programs need to provide pathways for timely referral for a comprehensive eye examination when indicated.
  • Women with preexisting type 1 or type 2 diabetes who are planning pregnancy or who are pregnant should be counseled on the risk of development and/or progression of diabetic retinopathy.
  • Eye examinations should occur before pregnancy or in the first trimester in patients with preexisting type 1 or type 2 diabetes, and then patients should be monitored every trimester and for 1 year postpartum as indicated by the degree of retinopathy.

 

PATHOGENESIS

 

Various mechanisms account for the features of diabetic retinopathy. Histopathologic analysis shows the thickening of capillary basement membranes, microaneurysm formation, loss of pericytes, capillary acellularity, and neovascularization. Microaneurysms, outpouchings of the capillary wall, serve as sites of fluid and lipid leakage, which can lead to the development of diabetic macular edema. Theories on the biochemistry of these end-organ changes include toxic effects from sorbitol accumulation, vascular damage by excessive glycosylation with crosslinking of basement membrane proteins, and activation of protein kinase C-ß2 by vascular endothelial growth factor (VEGF), leading to increased vascular permeability and endothelial cell proliferation. VEGF, produced by the retina in response to hypoxia, is believed to play a central role in the development of neovascularization.1,82 

 

CLINICAL FEATURES 

 

Non-Proliferative Diabetic Retinopathy (NPDR)

 

Studies have found that retinopathy in both insulin-dependent and non-insulin-dependent diabetes occurs 3 to 5 years or more after the onset of diabetes. In the WESDR, the prevalence of at least minimal retinopathy was almost 100% after 20 years.83 However, this study was performed prior to the advent of other adjunctive therapies for diabetes that may yield more favorable outcomes over the long term. Another study found that at least 39% of young persons with diabetes developed retinopathy within the first 10 years.84 The earliest clinical sign of diabetic retinopathy is the microaneurysm, a red dot seen on ophthalmoscopy that varies from 15 to 60 microns in diameter (Figure 1).

Figure 1. Microaneurysms and intraretinal hemorrhages in nonproliferative retinopathy. (UCSF Department of Ophthalmology)

The lesions can be difficult to distinguish from intraretinal hemorrhages on examination, but with fluorescein angiography microaneurysms can be identified easily as punctate spots of hyperfluorescence (Figure 2, 3). By contrast, hemorrhages block the background fluorescence and therefore appear dark.

Figure 2. Microaneurysms: hyperfluorescent dots in early phase of fluorescein angiogram (arrows). (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology).

Figure 3. Two minutes later, fluorescein leakage from the microaneurysms gives them a hazy appearance. (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology)

The severity of NPDR can be graded as mild, moderate, severe, or very severe. In mild disease, microaneurysms are present with hemorrhage or hard exudates (lipid transudates). In moderate NPDR, these findings are associated with cotton-wool spots (focal infarcts of the retinal nerve fiber layer or areas of axoplasmic stasis) or intraretinal microvascular abnormalities (vessels that may be either abnormally dilated and tortuous retinal vessels, or intraretinal neovascularization). The “4-2-1 rule” is used to diagnose severe NPDR: criteria are met if hemorrhages and microaneurysms are present in 4 quadrants, or venous beading (Figure 4) is present in 2 quadrants, or moderate intraretinal microvascular abnormalities are present in 1 quadrant. In very severe NPDR, two of these features are present.

 

The correct evaluation and staging of NPDR is important as a means of assessing the risk of progression. In the ETDRS, eyes with very severe NPDR had a 60-fold increased risk of developing high-risk proliferative retinopathy after 1 year compared with eyes with mild NPDR.85 For eyes with mild or moderate NPDR, early treatment with laser was not warranted, as the benefits in preventing vision loss did not outweigh the side effects (1). By contrast, in very severe NPDR, early laser treatment was often helpful.

Figure 4. Venous beading (arrows) in a case of proliferative diabetic retinopathy. (UCSF Department of Ophthalmology)

Capillary closure can also result in macular ischemia, another cause of vision loss in NPDR. This can be identified clinically as an enlargement of the normal foveal avascular zone on fluorescein angiography (Figure 5).

Figure 5. Capillary dropout around the fovea (white arrow) and in the temporal macula (black arrow). (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology).

Diabetic Macular Edema (DME)

 

Macular edema may be present at all the stages of diabetic retinopathy and is the most common cause of vision loss in nonproliferative diabetic retinopathy. Because of the increased vascular permeability and breakdown of the blood-retinal barrier, fluid and lipids leak into the retina and cause it to swell. This causes photoreceptor dysfunction, leading to vision loss when the center of the macula, the fovea, is affected. In the ETDRS, diabetic macular edema (DME) was characterized as "clinically significant" if any of the following were noted (Figure 6): retinal thickening within 500 microns of the fovea, hard exudates within 500 microns of the fovea if associated with adjacent retinal thickening, or an area of retinal thickening 1 disc diameter or larger if any part of it is located within 1 disc diameter of the fovea.86

Figure 6. Clinically significant macular edema with hard exudates in the fovea. Cotton-wool spots are present near the major vessels. (UCSF Department of Ophthalmology)

Although the cause of the microvascular changes in diabetes is not fully understood, the deficient oxygenation of the retina may induce an overexpression of vascular endothelial growth factor (VEGF), with a consequent increase in vascular leakage and retinal edema.87 Besides ischemia, inflammation may also play a role in the development of macular edema in diabetic retinopathy. In fact, elevated levels of extracellular carbonic anhydrase have been discovered in the vitreous of patients with diabetic retinopathy.88 Carbonic anhydrase may originate from retinal hemorrhages and erythrocyte lysis and may activate the kallikrein-mediated inflammatory cascade, contributing to the development of DME.

 

Optical Coherence Tomography (OCT) is a widely used imaging technique that provides high-resolution imaging of the retina (Figure 7).89 Working as an “optical ultrasound,” OCT projects a light beam and then acquires the light reflected from the retina to provide a cross-sectional image. Most patients with DME have diffuse retinal thickening or cystoid macular edema (presence of intraretinal cystoid-like spaces). In some patients, DME may be associated with posterior hyaloidal traction, serous retinal detachment or traction retinal detachment.90 Cystoid macular edema and posterior hyaloid traction are significantly associated with worse visual acuity.90

Figure 7. OCT image showing diabetic macular edema (UCSF Department of Ophthalmology).

Proliferative Diabetic Retinopathy (PDR)

 

In proliferative diabetic retinopathy, many of the changes seen in NPDR are present in addition to neovascularization that extends along the surface of the retina or into the vitreous cavity (Figure 8). These vessels are in loops that may form a network of radiating spokes or may appear disorganized. In many cases the vessels are first noted on the surface of the optic disc, although they can be easily missed due to their fine caliber. Close inspection often reveals that these new vessels cross over both the normal arteries and the normal veins of the retina, a sign of their unregulated growth.

Figure 8. Active neovascularization in PDR. Fibrovascular proliferation overlies the optic disc (white arrow). Loops of new vessels are especially prominent superior to the disc and extending into the macula, where leakage of fluid has led to deposition of a ring of hard exudate around the neovascular net (black arrow). (UCSF Department of Ophthalmology).

New vessels can also appear on the iris, a condition known as rubeosis iridis (Figure 9). When this occurs, careful inspection of the anterior chamber angle is essential, as growth of neovascularization in this location can obstruct aqueous fluid outflow and cause neovascular glaucoma.

Figure 9. Rubeosis iridis in a case of PDR. Abnormal new vessels are growing along the surface of the iris (arrows). (UCSF Dept. of Ophthalmology).

Neovascularization can remain relatively stable or it can grow rapidly; progression can be noted ophthalmoscopically over a period of weeks. Preretinal new vessels often develop an associated white, fibrous tissue component that can increase in size as the vessels regress. The resulting fibrovascular membrane may then develop new vessels at its edges. This cycle of growth and fibrous transformation of diabetic neovascularization is typical. The proliferation occurs on the anterior surface of the retina, and the vessels extend along the posterior surface of the vitreous body. Fibrous proliferation takes place on the posterior vitreous surface; when the vitreous detaches, the vessels can be pulled forward and the thickened posterior vitreous surface can be seen ophthalmoscopically, highlighted by areas of fibrovascular proliferation.

 

The severity of PDR can be classified as to the presence or absence of high-risk characteristics. As determined in the Diabetic Retinopathy Study, eyes are classified as high-risk if they have 3 of the following 4 characteristics: the presence of any neovascularization; neovascularization on or within 1-disc diameter of the optic disc; a moderate to severe amount of neovascularization (greater than 1/3 disc area neovascularization of the disc, or greater than 1/2 disc area if elsewhere), or vitreous hemorrhage.

 

Vision loss in proliferative diabetic retinopathy results from three main causes. First, vitreous hemorrhage occurs because the neovascular tissue is subject to vitreous traction. Coughing or vomiting may also trigger a hemorrhage. Hemorrhage may remain in the preretinal space between the retina and the posterior vitreous surface, in which case it may not cause much vision loss if located away from the macula (Figure 10). In other cases, though, hemorrhage can spread throughout the entire vitreous cavity, causing a diffuse opacification of the visual media with marked vision loss (Figure 11, 12).

Figure 10. Preretinal hemorrhage: blood trapped between the retina and the vitreous in a case of incomplete vitreous detachment. Visual acuity is unaffected. (UCSF Department of Ophthalmology).

Figure 11. Left: moderate vitreous hemorrhage; vision = 20/150. Right: 1 year later after spontaneous clearing of the hemorrhage; vision = 20/30. (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology).

Figure 12. Dense vitreous hemorrhage almost completely obscuring the view of the fundus. (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology).

Another cause of severe vision loss in PDR is retinal detachment. As the fibrovascular membranes and vitreous contract, their attachments to the retina can cause focal elevations of the retina, resulting in a traction retinal detachment (Figure 13). In other cases the retinal vessels can be avulsed or retinal holes may be created by this traction, leading to a combined traction-rhegmatogenous retinal detachment (Figure 14).

Figure 13. Marked fibrosis with traction exerted on the retina outside the central macula (arrows). The macula does not appear to be elevated centrally. (UCSF Dept. of Ophthalmology).

Figure 14. Traction retinal detachment outside the macula. Note elevation of retinal vessel out of the plane of focus (white arrow). Scatter photocoagulation scars are seen peripherally (black arrow). (UCSF Dept. of Ophthalmology).

Finally, patients with PDR may have macular nonperfusion or coexisting diabetic macular edema that causes vision loss through photoreceptor dysfunction.

 

TREATMENT

 

Tight glucose and blood pressure control are critical systemic factors in controlling the progression of diabetic retinopathy. Ocular complications of diabetes are addressed directly through treatment with laser photocoagulation, intravitreal injections, or surgery. Laser treatment has been the primary approach to vision-threatening diabetic retinopathy for decades. Recent randomized clinical trials have demonstrated that intravitreal anti-VEGF agents are more effective than laser under certain conditions.

 

Laser Photocoagulation for NPDR

 

Diabetic macular edema is believed to result from fluid and lipid transudation from microaneurysms and telangiectatic capillaries. Focal laser photocoagulation is used to heat and close the microaneurysms, causing them to stop leaking (Figure 15). Macular edema often improves following this form of treatment. Some clinicians apply laser burns in a grid pattern overlying areas of retinal edema without directing treatment to specific microaneurysms; this method can also be effective in reducing retinal thickening. The mechanism by which grid laser treatment achieves these results is not known.

 

The ETDRS found that the risk of moderate visual loss in eyes with diabetic macular edema was reduced by 50% by photocoagulation.91,92 At 3 years, 24% of untreated eyes experienced a 3-line decrease in vision compared with 12% of treated eyes. Eyes meeting the criteria for clinically significant macular edema in which the edema was closest to the center were most likely to benefit from treatment. Side effects of laser treatment can include scotomata, noticeable immediately after the procedure, if treatment is performed too close to the fovea. Late enlargement of laser scars can also occur, causing delayed visual loss. Inadvertent photocoagulation of the fovea is a risk of the procedure. Since the amount of energy used is minimal, the treatment is performed under topical anesthesia.

 

In the ETDRS study, only a very small percentage of eyes improved with focal laser treatment, highlighting the fact that the goal of laser treatment is not to improve vision, but rather to stabilize it and prevent worsening. It is also true that inclusion criteria for that study were based on the presence of “clinically significant” macular edema threatening the macula, even if the visual acuity was not yet reduced. For this reason, it has been argued that the study enrolled patients with excellent visual acuity, making it difficult to demonstrate small improvements in vision after laser treatment.

 

Due to the recent evidence on the efficacy and safety of anti-VEGF therapy for diabetic macular edema, different modalities of laser therapy have been proposed. Laser may be able to stabilize macular edema and reduce the need for multiple anti-VEGF injections. Modified ETDRS laser techniques include lower intensity laser burns, and they take particular care in maintaining a greater space from the center of the fovea.93 Subthreshold laser therapy and minimalistic fluorescein angiography-guided treatment of microaneurysms may also induce less damage to the macula than the classic ETDRS approach.94

Figure 15. Focal laser scars in the macula following treatment for macular edema (arrow). Edema has resolved. (Zuckerberg San Francisco General Hospital, Dept. of Ophthalmology).

Laser Photocoagulation for PDR

 

Scatter laser photocoagulation, also known as panretinal photocoagulation (PRP), is an important treatment modality for PDR and severe NPDR.92 Laser spots are placed from outside the major vascular arcades to the equator of the eye, with burns spaced approximately 1/2 to 1 burn width apart (Figure 16, 17). Although the treatment destroys normal retina, the central vision is unaffected since all spots are placed outside the macula. The theory underlying this treatment is that photocoagulation of the ischemic peripheral retina decreases the elaboration of vasoproliferative factors contributing to PDR. Indeed, VEGF levels in the vitreous are increased in eyes with neovascularization, and they are lower after scatter photocoagulation.95 Other factors such as insulin-like growth factor-1 are similarly elevated in the vitreous of eyes with PDR.96

 

Side effects of scatter photocoagulation can include decreased night vision and dark adaptation, and visual field loss. The procedure can be painful, so treatment may be divided into several sessions, and either topical or retrobulbar anesthesia may be used.

Figure 16. Scatter photocoagulation scars in an eye with active PDR. Note that all scatter laser scars are located outside the macula. (UCSF Department of Ophthalmology).

Figure 17. View of laser scars superior to the macula in the same eye. Spots are approximately one-half burn width apart. In the treated area, the retinal vessels are sclerotic (arrows). (UCSF Department of Ophthalmology).

The Diabetic Retinopathy Study evaluated the effects of scatter photocoagulation in over 1700 patients with PDR or severe NPDR. Patients had one eye randomized to treatment and one eye to observation. Treatment was shown to reduce severe visual loss by 50%.97 The ETDRS also found a positive risk-benefit ratio for early scatter treatment in patients with severe NPDR or early PDR. Interestingly, a subsequent study demonstrated that scatter laser performed at a single sitting was not worse than treatment divided over four sessions in terms of inducing macular edema or decreasing visual acuity.98

 

Panretinal photocoagulation may induce or aggravate diabetic macular edema, reduce contrast sensitivity and affect the peripheral visual field.85 Macular edema can be approached by focal laser or intravitreal injections before or at the time of panretinal photocoagulation. However, it is not recommended to delay panretinal photocoagulation in high-risk PDR.

 

The Diabetic Retinopathy Clinical Research network (DRCR) study protocol S has shown that intravitreal anti-VEGF agents may be a substitute for panretinal laser treatment.99 This multicenter randomized clinical trial compared ranibizumab to PRP in patients with PDR. Mean visual acuity letter improvement at 2 years was +2.8 in the ranibizumab group vs +0.2 in the PRP group (P < 0.001). Mean peripheral visual field sensitivity loss was worse, vitrectomy was more frequent, and DME development was more common in the PRP group. Further studies are needed in order to evaluate the long-term implications of using anti-VEGF agents alone. Ranibizumab may be a reasonable treatment alternative to consider for patients with severe NPDR or non-high-risk PDR who can follow-up regularly.

 

Corticosteroids for DME

 

It has been demonstrated that corticosteroids stabilize the blood-retinal barrier, inhibiting leukostasis and modulating the expression of VEGF receptor.100 On this basis, periocular and intraocular injections and sustained-release steroid implants have been utilized for the treatment of diabetic macular edema. It should be remembered that any of these different methods to deliver corticosteroids to the macula carry a potential risk of increasing the intraocular pressure (glaucoma) and inducing cataract.

 

The use of intravitreal triamcinolone acetonide has become accepted as a treatment option for diabetic macular edema. Several formulations are available: Kenalog-40, which has a black box warning against intraocular use, and the preservative-free Triesence. Preliminary data from a randomized clinical trial showed that intravitreal corticosteroids induced a noticeable improvement of visual acuity and foveal thickness in patients with severe, refractory DME.101However, intravitreal steroids do not appear to be more efficacious than laser treatment in giving a stable, sustained improvement in vision in the long run, as demonstrated by a recent large study.102

 

A peribulbar corticosteroid injection is of particular interest for eyes with DME that have good visual acuity where the risks of an intravitreal injection may not be justified. Any intravitreal injection through the pars plana, in fact, may directly damage the crystalline lens or cause a severe, sight-threatening infection of the eye (bacterial endophthalmitis). Unfortunately, in 2007 a randomized clinical trial showed that peribulbar triamcinolone, with or without focal photocoagulation, is not effective in cases of mild DME with good visual acuity.103

 

The fact that triamcinolone maintains measurable concentrations in the vitreous cavity for approximately 3 months stimulated further studies on sustained-release or biodegradable intraocular implants that can deliver steroids for a longer period of time.

 

A fluocinolone acetonide implant (Retisert) was investigated in a multicenter, randomized clinical trial for the treatment of diabetic macular edema. Although the efficacy of this surgically implanted material was demonstrated, it induced cataract in virtually all phakic patients and severe glaucoma needing surgery in 28% of eyes.104,105

 

A biodegradable dexamethasone implant (Ozurdex), FDA-approved for the treatment of DME, has demonstrated similar efficacy with more acceptable side effects. At day 90, a visual acuity improvement of 10 letters or more was seen in more eyes in the Ozurdex group (33.3%) than the observation group (12.3%; P = 0.007), but the statistical significance was lost at day 180.106 The implant was generally well tolerated.

 

A smaller device releasing fluocinolone acetonide, implantable suturelessly with an office procedure thorough a 25-gauge needle (Iluvien), is also FDA-approved for treatment of DME . This implant has been evaluated in the FAME (Fluocinolone Acetonide in Diabetic Macular Edema) study where 956 patients were randomized worldwide.107 At month 36, the percentage of patients who gained ≥15 in letter score was 28% compared with 19% (P = 0.018) in the sham group. In patients who reported duration of DME ≥3 years at baseline; the percentage who gained ≥15 in letter score at month 36 was 34.0% compared with 13.4%. Almost all phakic patients in the insert group developed cataract, but their visual benefit after cataract surgery was similar to that in pseudophakic patients. The rate of glaucoma surgery at month 36 was 5%.108

 

Anti-VEGF Drugs for DR and DME 

 

Vascular endothelial growth factor (VEGF) is an angiogenic factor that plays a key role in the breakdown of the blood–retina barrier and is significantly elevated in eyes with diabetic macular edema.109 Antibody fragments that bind VEGF and inhibit angiogenesis were first developed as intraocular injection for the treatment of exudative age-related macular degeneration. These anti-VEGF drugs have been used for the treatment of DR and DME with favorable results.

 

The first agent that became available was Pegaptanib 0.3 mg (Macugen).110 A randomized trial demonstrated after 2 years of therapy a gain of 6.1 letters in the pegaptanib arm versus 1.3 letters for sham (P<0.01).111 Since it is targeted to the isoform VEGF-165 only, it is generally considered very safe but less effective than newer anti-VEGF drugs.

 

Bevacizumab (Avastin), directed to all the isoforms of VEGF, has been used off-label for the treatment of DME worldwide. The first evidence came from a study on 121 patients with DME followed over 3 months in a phase II randomized clinical trial.112 The BOLT study demonstrated a mean gain of 8.6 letters for bevacizumab versus a mean loss of 0.5 letters when compared to classic macular laser. The patients received a mean of 13 injections over two years, and the treatment was well tolerated with no progression of macular ischemia.113

 

Ranibizumab (Lucentis) binds all isoforms of VEGF and is FDA-approved for the treatment of diabetic retinopathy and diabetic macular edema. In the Ranibizumab for Edema of the Macula in Diabetes (READ-2) study, ranibizumab-only was superior to laser and to combined therapy.114 The RESTORE study confirmed that ranibizumab monotherapy and combined with laser was superior to standard laser. At 1 year, no differences were detected between the ranibizumab and ranibizumab plus laser arms.115 A larger DRCR study supported ranibizumab plus prompt or deferred photocoagulation as a mainstay of current therapy for patients with DME.116 In the RESOLVE study, at month 12, mean visual acuity improved from baseline by 10.3±9.1 letters with ranibizumab and declined by 1.4±14.2 letters with sham (P<0.0001).117 The RISE and RIDE studies confirmed the efficacy and the safety of intravitreal monthly injections of ranibizumab with similar results.118 Efficacy against DR progression and improvement of diabetic retinopathy severity was also demonstrated in multiple studies.

 

Aflibercept 2 mg (Eylea), active against all VEGF-A isoforms, is also FDA-approved for the treatment of DR and DME. In the DA-VINCI study, the different dose regimens of aflibercept demonstrated a mean improvement in visual acuity of 10 to 13 letters versus -1.3 letters for the laser group with a large proportion of eyes (about 40%) gaining 15 or more ETDRS letters at week 52.119 Aflibercept 8 mg (Eylea HD) was also recently approved for DR and DME treatment, based upon the results of the PHOTON trial, offering the possibility of longer duration of action and fewer injections per year, as well as potentially improved efficacy in recalcitrant cases.120

 

The Diabetic Retinopathy Clinical Research Network Protocol T compared bevacizumab, ranibizumab, and aflibercept in the treatment of center-involving DME.121 When the initial visual-acuity loss was mild, there were no significant differences among study groups. However, at worse levels of initial visual acuity (20/50 or worse), aflibercept was more effective than bevacizumab. The differences between bevacizumab and ranibizumab and between ranibizumab and aflibercept were not statistically significant. Of note, after 6 months of treatment, over 20% of patients in each anti-VEGF treatment group had persistent DME, suggesting that control of other mechanisms beyond VEGF are necessary to achieve optimal outcomes in the treatment of DME.

 

Bispecific Anti-VEGF and Anti-Angiopoeitin-2 Therapy

 

Faricimab (Vabysmo) is the first bispecific molecule approved for treatment of retinal disease, offering blockade of both VEGF and Ang2. The Ang1-Tie2 pathway promotes vascular stability; Ang2 interferes with Tie2 signaling, so its blockade is believed to have favorable effects for angiogenic diseases. The YOSEMITE and RHINE studies assessed the effect of faricimab on DME, finding that vision outcomes for faricimab administered on a variable injection schedule known as treat-and-extend were noninferior to aflibercept injected every 8 weeks. Treatment was able to be given every 16 weeks in some patients, offering a possibility of increased convenience and reduced injection-related risks in those patients able to receive fewer injections.122

 

Currently, on the basis of the above evidence, anti-VEGF or bispecific anti-VEGF and anti-ang2 therapy is first-line therapy for center-involving macular edema, with possible deferred focal laser treatment. It should be mentioned that adverse side effects associated with intravitreal injections are uncommon but severe and include infectious endophthalmitis, cataract formation, retinal detachment, and elevated IOP. 

 

Vitrectomy Surgery for PDR

 

Surgery may be necessary for eyes in advanced PDR with either vitreous hemorrhage or retinal detachment. In the case of vitreous hemorrhage, many cases will clear spontaneously. For this reason, clinicians often wait 3 to 6 months or more before performing vitrectomy surgery. If surgery is indicated because of persistent non-clearing hemorrhage, retinal detachment involving the macula, or vitreous hemorrhage with neovascularization of the anterior chamber angle (a precursor of neovascular glaucoma), then vitrectomy is performed via a pars plana approach. The vitreous is removed, fibrovascular membranes are dissected away from the retina, retinal detachment is repaired, and scatter laser treatment is applied at the time of surgery via direct intraocular application.

 

The Diabetic Retinopathy Vitrectomy Study assessed the value of early vitrectomy in patients with severe PDR. The study found that early intervention increased the likelihood of obtaining 20/40 vision or better in eyes with recent severe vitreous hemorrhage or severe PDR. Compared with 15% of control eyes, 25% of treated eyes achieved this level of vision at 2 years.109 In type 1 diabetes, the benefit of early surgery was even more pronounced, with 36% of treated eyes achieving 20/40 vision compared to 12% of control eyes. The importance of this study, performed between 1976 and 1983 when vitrectomy techniques were much less advanced than they are today, was that it showed conventional “watch and wait” management will not necessarily lead to the best visual outcomes in cases of severe PDR. In practice, clinicians evaluate the risks and benefits of each option before proceeding with scatter photocoagulation, vitrectomy, or observation in such cases.

 

Recently, the DRCR Protocol D evaluated the effects of pars plana vitrectomy in eyes with moderate vision loss from DME and vitreomacular traction. Although retinal thickness was generally reduced, visual acuity results were less consistent.123 Vitrectomy for refractory, chronic diabetic macular edema in the absence of vitreomacular traction should be reserved to selected cases.

 

Intravitreal ocriplasmin (Jetrea) is able to induce enzymatic vitreolysis and posterior vitreous detachment and could have a role, eventually associated with vitrectomy, in the treatment of vitreomacular traction and macular edema in diabetic retinopathy.124 

 

NOVEL THERAPIES FOR DIABETIC RETINOPATHY

 

Current therapies are limited in their ability to reverse vision loss in diabetic retinopathy. For example, although focal laser photocoagulation can help stabilize vision by reducing macular edema, it rarely improves vision. Corticosteroids induce cataract progression and intraocular pressure elevation. Anti-VEGF agents do not increase cataract formation rates but they generally need more frequent intravitreal injections, carrying the risk of endophthalmitis; they can temporary increase IOP; they might have systemic adverse effects. For addressing these issues, new sustained-release devices are being designed, and studies are ongoing to test new intravitreal medications.

 

The development of new treatment modalities is being guided by an understanding of the mechanisms of the disease. From this perspective, researchers are now focusing on the role of inflammation on DME. NSAIDs, anti-TNF agents (Etanercept and Remicade), mecamylamine (an antagonist of nACh receptors), and intravitreal erythropoietin are currently under investigation for the treatment of refractory diabetic macular edema.125

 

In order to create a national taskforce to study and treat diabetic retinopathy, in 2002 the National Eye Institute funded the DRCR, a collaborative network dedicated to design and carry out multicenter clinical trials on diabetic retinopathy and diabetic macular edema. The DRCR network currently includes over 150 participating sites with over 500 physicians throughout the United States.

 

The DRCR Network has an ongoing project to study genes involved in diabetic retinopathy.

 

CONCLUSION

 

Retinopathy remains a challenging complication of diabetes that can adversely affect a patient’s quality of life. Although ophthalmologists can often stabilize the condition or reduce vision loss, prevention and early detection remain the most effective ways to preserve good vision in patients with diabetes. Ensuring tight glucose and blood pressure control and referring patients for ophthalmologic examination are important ways in which internists and other clinicians can help to maximize their patients’ vision and therefore their quality of life. New treatments may offer greater hope for sustained visual improvement in patients with diabetic retinopathy.

 

REFERENCES

 

  1. Amoaku WM, Ghanchi F, Bailey C, et al. Diabetic retinopathy and diabetic macular oedema pathways and management: UK Consensus Working Group. Eye Lond Engl. 2020;34:1-51.
  2. Sabanayagam C, Yip W, Ting DS, Tan G, Wong TY. Ten Emerging Trends in the Epidemiology of Diabetic Retinopathy. Ophthalmic Epidemiol. 2016;23:209-222.
  3. Ting DS, Cheung GC, Wong TY. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review. Clin Experiment Ophthalmol. 2016;44:260-277.
  4. Wong TY, Cheung CM, Larsen M, Sharma S, Simo R. Diabetic retinopathy. Nat Rev Dis Primer. 2016;2:16012.
  5. American Diabetes Association. 11. Microvascular Complications and Foot Care: Standards of Medical Care in Diabetes—2020. Diabetes Care. 2020;43(Suppl 1):S135-S151.
  6. Barrett EJ, Liu Z, Khamaisi M, et al. Diabetic Microvascular Disease: An Endocrine Society Scientific Statement. J Clin Endocrinol Metab. 2017;102:4343-4410.
  7. Klein R, Knudtson MD, Lee KE, Gangnon R, Klein BE. The Wisconsin Epidemiologic Study of Diabetic Retinopathy: XXII the twenty-five-year progression of retinopathy in persons with type 1 diabetes. Ophthalmology. 2008;115:1859-1868.
  8. Fong DS, Aiello L, Gardner TW, et al. Diabetic retinopathy. Diabetes Care. 2003;26:226-229.
  9. Zhang X, Saaddine JB, Chou CF, et al. Prevalence of diabetic retinopathy in the United States, 2005-2008. J Am Med Assoc. 2010;304:649-656.
  10. Wong TY, Klein R, Islam FM, et al. Diabetic retinopathy in a multi-ethnic cohort in the United States. Am J Ophthalmol. 2006;141:446-455.
  11. Yau JW, Rogers SL, Kawasaki R, et al. Global prevalence and major risk factors of diabetic retinopathy. Diabetes Care. 2012;35:556-564.
  12. Antonetti DA, Klein R, Gardner TW. Diabetic retinopathy. N Engl J Med. 2012;366:1227-1239.
  13. Wong TY, Mwamburi M, Klein R, et al. Rates of progression in diabetic retinopathy during different time periods: a systematic review and meta-analysis. Diabetes Care. 2009;32:2307-2313.
  14. Tam VH, Lam EP, Chu BC, Tse KK, Fung LM. Incidence and progression of diabetic retinopathy in Hong Kong Chinese with type 2 diabetes mellitus. J Diabetes Complications. 2009;23:185-193.
  15. Chase HP, Jackson WE, Hoops SL, Cockerham RS, Archer PG, O’Brien D. Glucose control and the renal and retinal complications of insulin-dependent diabetes. J Am Med Assoc. 1989;261:1155-1160.
  16. Stratton IM, Kohner EM, Aldington SJ, et al. UKPDS 50: risk factors for incidence and progression of retinopathy in Type II diabetes over 6 years from diagnosis. Diabetologia. 2001;44:156-163.
  17. Wang PH, Lau J, Chalmers TC. Meta-analysis of effects of intensive blood-glucose control on late complications of type I diabetes. The Lancet. 1993;341:1306-1309.
  18. Diabetes Control Complications Trial Research Group, Nathan DM, Genuth S, et al. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med. 1993;329:977-986.
  19. Nathan DM, Bayless M, Cleary P, et al. Diabetes control and complications trial/epidemiology of diabetes interventions and complications study at 30 years: advances and contributions. Diabetes. 2013;62:3976-3986.
  20. Ohkubo Y, Kishikawa H, Araki E, et al. Intensive insulin therapy prevents the progression of diabetic microvascular complications in Japanese patients with non-insulin-dependent diabetes mellitus: a randomized prospective 6-year study. Diabetes Res Clin Pract. 1995;28:103-117.
  21. Shichiri M, Kishikawa H, Ohkubo Y, Wake N. Long-term results of the Kumamoto Study on optimal diabetes control in type 2 diabetic patients. Diabetes Care. 2000;23 Suppl 2:B21-B29.
  22. UK Prospective Diabetes Study Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). The Lancet. 1998;352:837-853.
  23. Holman RR, Paul SK, Bethel MA, Matthews DR, Neil HA. 10-year follow-up of intensive glucose control in type 2 diabetes. N Engl J Med. 2008;359:1577-1589.
  24. ACCORD Study Group, Chew EY, Ambrosius WT, et al. Effects of medical therapies on retinopathy progression in type 2 diabetes. N Engl J Med. 2010;363:233-244.
  25. Ismail-Beigi F, Craven T, Banerji MA, et al. Effect of intensive treatment of hyperglycaemia on microvascular outcomes in type 2 diabetes: an analysis of the ACCORD randomised trial. The Lancet. 2010;376:419-430.
  26. Action to Control Cardiovascular Risk in Diabetes Follow-On Eye Study Group. Persistent Effects of Intensive Glycemic Control on Retinopathy in Type 2 Diabetes in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Follow-On Study. Diabetes Care. 2016;39:1089-1100.
  27. Advance Collaborative Group, Patel A, MacMahon S, et al. Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes. N Engl J Med. 2008;358:2560-2572.
  28. Duckworth W, Abraira C, Moritz T, et al. Glucose control and vascular complications in veterans with type 2 diabetes. N Engl J Med. 2009;360:129-139.
  29. Zoungas S, Arima H, Gerstein HC, et al. Effects of intensive glucose control on microvascular outcomes in patients with type 2 diabetes: a meta-analysis of individual participant data from randomised controlled trials. Lancet Diabetes Endocrinol. 2017;5:431-437.
  30. Hemmingsen B, Lund SS, Gluud C, et al. Intensive glycaemic control for patients with type 2 diabetes: systematic review with meta-analysis and trial sequential analysis of randomised clinical trials. BMJ. 2011;343:d6898.
  31. Hooymans JM, Ballegooie EV, Schweitzer NM, Doorebos H, Reitsma WD, Slutter WJ. Worsening of diabetic retinopathy with strict control of blood sugar. The Lancet. 1982;2:438.
  32. Lauritzen T, Frost-Larsen K, Larsen HW, Deckert T. Two-year experience with continuous subcutaneous insulin infusion in relation to retinopathy and neuropathy. Diabetes. 1985;34 Suppl 3:74-79.
  33. Kroc Collaborative Study Group. Blood glucose control and the evolution of diabetic retinopathy and albuminuria. A preliminary multicenter trial. N Engl J Med. 1984;311:365-372.
  34. Lauritzen T, Frost-Larsen K, Larsen HW, Deckert T. Effect of 1 year of near-normal blood glucose levels on retinopathy in insulin-dependent diabetics. The Lancet. 1983;1:200-204.
  35. Diabetes Control and Complications Trial Research Group. Early worsening of diabetic retinopathy in the Diabetes Control and Complications Trial. Arch Ophthalmol. 1998;116:874-886.
  36. Bain SC, Klufas MA, Ho A, Matthews DR. Worsening of diabetic retinopathy with rapid improvement in systemic glucose control: A review. Diabetes Obes Metab. 2019;21:454-466.
  37. Klein R, Klein BE, Moss SE, Davis MD, DeMets DL. Is blood pressure a predictor of the incidence or progression of diabetic retinopathy? Arch Intern Med. 1989;149:2427-2432.
  38. Tapp RJ, Shaw JE, Harper CA, et al. The prevalence of and factors associated with diabetic retinopathy in the Australian population. Diabetes Care. 2003;26:1731-1737.
  39. Leske MC, Wu SY, Hennis A, et al. Hyperglycemia, blood pressure, and the 9-year incidence of diabetic retinopathy: the Barbados Eye Studies. Ophthalmology. 2005;112:799-805.
  40. UK Prospective Diabetes Study Group. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ. 1998;317:703-713.
  41. Matthews DR, Stratton IM, Aldington SJ, Holman RR, Kohner EM, Group UPDS. Risks of progression of retinopathy and vision loss related to tight blood pressure control in type 2 diabetes mellitus: UKPDS 69. Arch Ophthalmol. 2004;122:1631-1640.
  42. Holman RR, Paul SK, Bethel MA, Neil HA, Matthews DR. Long-term follow-up after tight control of blood pressure in type 2 diabetes. N Engl J Med. 2008;359:1565-1576.
  43. Heart Outcomes Prevention Evaluation Study Group. Effects of ramipril on cardiovascular and microvascular outcomes in people with diabetes mellitus: results of the HOPE study and MICRO-HOPE substudy. The Lancet. 2000;355:253-259.
  44. Chaturvedi N, Sjolie AK, Stephenson JM, et al. Effect of lisinopril on progression of retinopathy in normotensive people with type 1 diabetes. The EUCLID Study Group. EURODIAB Controlled Trial of Lisinopril in Insulin-Dependent Diabetes Mellitus. The Lancet. 1998;351:28-31.
  45. Beulens JW, Patel A, Vingerling JR, et al. Effects of blood pressure lowering and intensive glucose control on the incidence and progression of retinopathy in patients with type 2 diabetes mellitus: a randomised controlled trial. Diabetologia. 2009;52:2027-2036.
  46. Estacio RO, Jeffers BW, Gifford N, Schrier RW. Effect of blood pressure control on diabetic microvascular complications in patients with hypertension and type 2 diabetes. Diabetes Care. 2000;23 Suppl 2:B54-B64.
  47. Schrier RW, Estacio RO, Esler A, Mehler P. Effects of aggressive blood pressure control in normotensive type 2 diabetic patients on albuminuria, retinopathy and strokes. Kidney Int. 2002;61:1086-1097.
  48. Chaturvedi N, Porta M, Klein R, et al. Effect of candesartan on prevention (DIRECT-Prevent 1) and progression (DIRECT-Protect 1) of retinopathy in type 1 diabetes: randomised, placebo-controlled trials. The Lancet. 2008;372:1394-1402.
  49. Sjolie AK, Klein R, Porta M, et al. Effect of candesartan on progression and regression of retinopathy in type 2 diabetes (DIRECT-Protect 2): a randomised placebo-controlled trial. The Lancet. 2008;372:1385-1393.
  50. Mauer M, Zinman B, Gardiner R, et al. Renal and retinal effects of enalapril and losartan in type 1 diabetes. N Engl J Med. 2009;361:40-51.
  51. Wang B, Wang F, Zhang Y, et al. Effects of RAS inhibitors on diabetic retinopathy: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2015;3:263-274.
  52. Lim LS, Wong TY. Lipids and diabetic retinopathy. Expert Opin Biol Ther. 2012;12:93-105.
  53. Chew EY, Klein ML, Ferris FL 3rd, et al. Association of elevated serum lipid levels with retinal hard exudate in diabetic retinopathy. Early Treatment Diabetic Retinopathy Study (ETDRS) Report 22. Arch Ophthalmol. 1996;114:1079-1084.
  54. Rema M, Srivastava BK, Anitha B, Deepa R, Mohan V. Association of serum lipids with diabetic retinopathy in urban South Indians--the Chennai Urban Rural Epidemiology Study (CURES) Eye Study--2. Diabet Med. 2006;23:1029-1036.
  55. Salinero-Fort MA, San Andres-Rebollo FJ, de Burgos-Lunar C, Arrieta-Blanco FJ, Gomez-Campelo P, Group M. Four-year incidence of diabetic retinopathy in a Spanish cohort: the MADIABETES study. PLoS ONE. 2013;8:e76417.
  56. Sinav S, Onelge MA, Onelge S, Sinav B. Plasma lipids and lipoproteins in retinopathy of type I (insulin-dependent) diabetic patients. Ann Ophthalmol. 1993;25:64-66.
  57. Lyons TJ, Jenkins AJ, Zheng D, et al. Diabetic retinopathy and serum lipoprotein subclasses in the DCCT/EDIC cohort. Invest Ophthalmol Vis Sci. 2004;45:910-917.
  58. Zhou Y, Wang C, Shi K, Yin X. Relationship between dyslipidemia and diabetic retinopathy: A systematic review and meta-analysis. Medicine (Baltimore). 2018;97:e12283.
  59. Klein BE, Moss SE, Klein R, Surawicz TS. The Wisconsin Epidemiologic Study of Diabetic Retinopathy. XIII. Relationship of serum cholesterol to retinopathy and hard exudate. Ophthalmology. 1991;98:1261-1265.
  60. Klein R, Sharrett AR, Klein BE, et al. The association of atherosclerosis, vascular risk factors, and retinopathy in adults with diabetes: the atherosclerosis risk in communities study. Ophthalmology. 2002;109:1225-1234.
  61. Sobrin L, Chong YH, Fan Q, et al. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study. Diabetes. 2017;66:3130-3141.
  62. Harrold BP, Marmion VJ, Gough KR. A double-blind controlled trial of clofibrate in the treatment of diabetic retinopathy. Diabetes. 1969;18:285-291.
  63. Duncan LJ, Cullen JF, Ireland JT, Nolan J, Clarke BF, Oliver MF. A three-year trial of atromid therapy in exudative diabetic retinopathy. Diabetes. 1968;17:458-467.
  64. Keech AC, Mitchell P, Summanen PA, et al. Effect of fenofibrate on the need for laser treatment for diabetic retinopathy (FIELD study): a randomised controlled trial. The Lancet. 2007;370:1687-1697.
  65. Emmerich KH, Poritis N, Stelmane I, et al. [Efficacy and safety of etofibrate in patients with non-proliferative diabetic retinopathy]. Klin Monatsblätter Für Augenheilkd. 2009;226:561-567.

65a.  Preiss D, Logue J, Sammons E, Zayed M, Emberson J, Wade R, Wallendszus K, Stevens W, Cretney R, Harding S, Leese G, Currie G, Armitage J. Effect of Fenofibrate on Progression of Diabetic Retinopathy. NEJM Evid. 2024 Aug;3(8):EVIDoa2400179.

  1. Knickelbein JE, Abbott AB, Chew EY. Fenofibrate and Diabetic Retinopathy. Curr Diab Rep. 2016;16:90.
  2. Hu Y, Chen Y, Ding L, et al. Pathogenic role of diabetes-induced PPAR-alpha down-regulation in microvascular dysfunction. Proc Natl Acad Sci U S A. 2013;110:15401-15406.
  3. Nielsen SF, Nordestgaard BG. Statin use before diabetes diagnosis and risk of microvascular disease: a nationwide nested matched study. Lancet Diabetes Endocrinol. 2014;2:894-900.
  4. Kang EY, Chen TH, Garg SJ, et al. Association of Statin Therapy With Prevention of Vision-Threatening Diabetic Retinopathy. JAMA Ophthalmol. 2019;137:363-371.
  5. Vail D, Callaway NF, Ludwig CA, Saroj N, Moshfeghi DM. Lipid-Lowering Medications Are Associated with Lower Risk of Retinopathy and Ophthalmic Interventions among United States Patients with Diabetes. Am J Ophthalmol. 2019;207:378-384.
  6. Kawasaki R, Kitano S, Sato Y, Yamashita H, Nishimura R, Tajima N. Factors associated with non-proliferative diabetic retinopathy in patients with type 1 and type 2 diabetes: the Japan Diabetes Complication and its Prevention prospective study (JDCP study 4). Diabetol Int. 2019;10:3-11.
  7. Sen K, Misra A, Kumar A, Pandey RM. Simvastatin retards progression of retinopathy in diabetic patients with hypercholesterolemia. Diabetes Res Clin Pract. 2002;56:1-11.
  8. Gupta A, Gupta V, Thapar S, Bhansali A. Lipid-lowering drug atorvastatin as an adjunct in the management of diabetic macular edema. Am J Ophthalmol. 2004;137:675-682.
  9. ASCEND Study Collaborative Group, Bowman L, Mafham M, et al. Effects of n-3 Fatty Acid Supplements in Diabetes Mellitus. N Engl J Med. 2018;379:1540-1550.

74a.  Sammons EL, Buck G, Bowman LJ, Stevens WM, Hammami I, Parish S, Armitage J; ASCEND Study Collaborative Group. ASCEND-Eye: Effects of Omega-3 Fatty Acids on Diabetic Retinopathy. Ophthalmology. 2024 May;131(5):526-533.

  1. Domanico D, Verboschi F, Altimari S, Zompatori L, Vingolo EM. Ocular Effects of Niacin: A Review of the Literature. Med Hypothesis Discov Innov Ophthalmol. 2015;4:64-71.
  2. Buschur E, Stetson B, Barbour LA. Diabetes In Pregnancy. Endotext Internet. Published online 2018.
  3. Sun JK, Keenan HA, Cavallerano JD, et al. Protection from retinopathy and other complications in patients with type 1 diabetes of extreme duration: the joslin 50-year medalist study. Diabetes Care. 2011;34:968-974.
  4. Lachin JM, Genuth S, Nathan DM, Zinman B, Rutledge BN, Group DR. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial--revisited. Diabetes. 2008;57:995-1001.
  5. Kuo JZ, Wong TY, Rotter JI. Challenges in elucidating the genetics of diabetic retinopathy. JAMA Ophthalmol. 2014;132:96-107.
  6. Cho H, Sobrin L. Genetics of diabetic retinopathy. Curr Diab Rep. 2014;14:515.
  7. Cole JB, Florez JC. Genetics of diabetes mellitus and diabetes complications. Nat Rev Nephrol. 2020;16:377-390.
  8. Behl T, Kotwani A. Exploring the various aspects of the pathological role of vascular endothelial growth factor (VEGF) in diabetic retinopathy. Pharmacol Res. 2015;99:137-148.
  9. Fong DS, Aiello L, Gardner TW, et al. Retinopathy in diabetes. Diabetes Care. 2004;27 Suppl 1:S84-87.
  10. Henricsson M, Nystrom L, Blohme G, et al. The incidence of retinopathy 10 years after diagnosis in young adult people with diabetes: results from the nationwide population-based Diabetes Incidence Study in Sweden (DISS). Diabetes Care. 2003;26:349-354.
  11. Early Treatment Diabetic Retinopathy Study Research Group. Early photocoagulation for diabetic retinopathy. ETDRS report number 9. Ophthalmology. 1991;98:766-785.
  12. Early Treatment Diabetic Retinopathy Study Research Group. Photocoagulation for diabetic macular edema. Early Treatment Diabetic Retinopathy Study report number 1. Arch Ophthalmol. 1985;103:1796-1806.
  13. Caldwell RB, Bartoli M, Behzadian MA, et al. Vascular endothelial growth factor and diabetic retinopathy: role of oxidative stress. Curr Drug Targets. 2005;6:511-524.
  14. Gao BB, Clermont A, Rook S, et al. Extracellular carbonic anhydrase mediates hemorrhagic retinal and cerebral vascular permeability through prekallikrein activation. Nat Med. 2007;13:181-188.
  15. Puliafito CA, Hee MR, Lin CP, et al. Imaging of macular diseases with optical coherence tomography. Ophthalmology. 1995;102:217-229.
  16. Kim BY, Smith SD, Kaiser PK. Optical coherence tomographic patterns of diabetic macular edema. Am J Ophthalmol. 2006;142:405-412.
  17. Relhan N, Flynn Jr H. The Early Treatment Diabetic Retinopathy Study historical review and relevance to today’s management of diabetic macular edema. Curr Opin Ophthalmol. 2017;28:205-212.
  18. Neubauer AS, Ulbig MW. Laser treatment in diabetic retinopathy. Ophthalmologica. 2007;221:95-102.
  19. Writing Committee for the Diabetic Retinopathy Clinical Research Network, Fong DS, Strauber SF, et al. Comparison of the modified Early Treatment Diabetic Retinopathy Study and mild macular grid laser photocoagulation strategies for diabetic macular edema. Arch Ophthalmol. 2007;125:469-480.
  20. Luttrull JK, Dorin G. Subthreshold diode micropulse laser photocoagulation (SDM) as invisible retinal phototherapy for diabetic macular edema: a review. Curr Diabetes Rev. 2012;8:274-284.
  21. Aiello LP, Avery RL, Arrigg PG, et al. Vascular endothelial growth factor in ocular fluid of patients with diabetic retinopathy and other retinal disorders. N Engl J Med. 1994;331:1480-1487.
  22. Simo R, Lecube A, Segura RM, Garcia Arumi J, Hernandez C. Free insulin growth factor-I and vascular endothelial growth factor in the vitreous fluid of patients with proliferative diabetic retinopathy. Am J Ophthalmol. 2002;134:376-382.
  23. Diabetic Retinopathy Study Research Group. Preliminary report on effects of photocoagulation therapy. Am J Ophthalmol. 1976;81:383-396.
  24. Diabetic Retinopathy Clinical Research Network, Brucker AJ, Qin H, et al. Observational study of the development of diabetic macular edema following panretinal (scatter) photocoagulation given in 1 or 4 sittings. Arch Ophthalmol. 2009;127:132-140.
  25. Writing Committee for the Diabetic Retinopathy Clinical Research Network, Gross JG, Glassman AR, et al. Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy: A Randomized Clinical Trial. J Am Med Assoc. 2015;314:2137-2146.
  26. Cunningham MA, Edelman JL, Kaushal S. Intravitreal steroids for macular edema: the past, the present, and the future. Surv Ophthalmol. 2008;53:139-149.
  27. Gillies MC, Sutter FK, Simpson JM, Larsson J, Ali H, Zhu M. Intravitreal triamcinolone for refractory diabetic macular edema: two-year results of a double-masked, placebo-controlled, randomized clinical trial. Ophthalmology. 2006;113:1533-1538.
  28. Diabetic Retinopathy Clinical Research Network, Beck RW, Edwards AR, et al. Three-year follow-up of a randomized trial comparing focal/grid photocoagulation and intravitreal triamcinolone for diabetic macular edema. Arch Ophthalmol. 2009;127:245-251.
  29. Diabetic Retinopathy Clinical Research Network, Chew E, Strauber S, et al. Randomized trial of peribulbar triamcinolone acetonide with and without focal photocoagulation for mild diabetic macular edema: a pilot study. Ophthalmology. 2007;114:1190-1196.
  30. Pearson PA, Comstock TL, Ip M, et al. Fluocinolone acetonide intravitreal implant for diabetic macular edema: a 3-year multicenter, randomized, controlled clinical trial. Ophthalmology. 2011;118:1580-1587.
  31. Schwartz SG, Jr FH. Fluocinolone acetonide implantable device for diabetic retinopathy. Curr Pharm Biotechnol. 2011;12:347-351.
  32. Haller JA, Kuppermann BD, Blumenkranz MS, et al. Randomized controlled trial of an intravitreous dexamethasone drug delivery system in patients with diabetic macular edema. Arch Ophthalmol. 2010;128:289-296.
  33. Campochiaro PA, Brown DM, Pearson A, et al. Long-term benefit of sustained-delivery fluocinolone acetonide vitreous inserts for diabetic macular edema. Ophthalmology. 2011;118:626-635.e2.
  34. Campochiaro PA, Brown DM, Pearson A, et al. Sustained delivery fluocinolone acetonide vitreous inserts provide benefit for at least 3 years in patients with diabetic macular edema. Ophthalmology. 2012;119:2125-2132.
  35. Nguyen QD, Tatlipinar S, Shah SM, et al. Vascular endothelial growth factor is a critical stimulus for diabetic macular edema. Am J Ophthalmol. 2006;142:961-969.
  36. Cunningham Jr. E, Adamis AP, Altaweel M, et al. A phase II randomized double-masked trial of pegaptanib, an anti-vascular endothelial growth factor aptamer, for diabetic macular edema. Ophthalmology. 2005;112:1747-1757.
  37. Sultan MB, Zhou D, Loftus J, Dombi T, Ice KS, Group MS. A phase 2/3, multicenter, randomized, double-masked, 2-year trial of pegaptanib sodium for the treatment of diabetic macular edema. Ophthalmology. 2011;118:1107-1118.
  38. Diabetic Retinopathy Clinical Research Network, Scott IU, Edwards AR, et al. A phase II randomized clinical trial of intravitreal bevacizumab for diabetic macular edema. Ophthalmology. 2007;114:1860-1867.
  39. Rajendram R, Fraser-Bell S, Kaines A, et al. A 2-year prospective randomized controlled trial of intravitreal bevacizumab or laser therapy (BOLT) in the management of diabetic macular edema: 24-month data: report 3. Arch Ophthalmol. 2012;130:972-979.
  40. Nguyen QD, Shah SM, Khwaja AA, et al. Two-year outcomes of the ranibizumab for edema of the mAcula in diabetes (READ-2) study. Ophthalmology. 2010;117:2146-2151.
  41. Mitchell P, Bandello F, Schmidt-Erfurth U, et al. The RESTORE study: ranibizumab monotherapy or combined with laser versus laser monotherapy for diabetic macular edema. Ophthalmology. 2011;118:615-625.
  42. Elman MJ, Bressler NM, Qin H, et al. Expanded 2-year follow-up of ranibizumab plus prompt or deferred laser or triamcinolone plus prompt laser for diabetic macular edema. Ophthalmology. 2011;118:609-614.
  43. Massin P, Bandello F, Garweg JG, et al. Safety and efficacy of ranibizumab in diabetic macular edema (RESOLVE Study): a 12-month, randomized, controlled, double-masked, multicenter phase II study. Diabetes Care. 2010;33:2399-2405.
  44. Nguyen QD, Brown DM, Marcus DM, et al. Ranibizumab for diabetic macular edema: results from 2 phase III randomized trials: RISE and RIDE. Ophthalmology. 2012;119:789-801.
  45. Do DV, Nguyen QD, Boyer D, et al. One-year outcomes of the da Vinci Study of VEGF Trap-Eye in eyes with diabetic macular edema. Ophthalmology. 2012;119:1658-1665.
  46. Brown DM, Boyer DS, Do DV, et al. Intravitreal aflibercept 8 mg in diabetic macular oedema (PHOTON): 48-week results from a randomised, double-masked, non-inferiority, phase 2/3 trial. Lancet Lond Engl. 2024;403(10432):1153-1163. doi:10.1016/S0140-6736(23)02577-1
  47. Wells JA, Glassman AR, Ayala AR, et al. Aflibercept, Bevacizumab, or Ranibizumab for Diabetic Macular Edema: Two-Year Results from a Comparative Effectiveness Randomized Clinical Trial. Ophthalmology. 2016;123:1351-1359.
  48. Wong TY, Haskova Z, Asik K, et al. Faricimab Treat-and-Extend for Diabetic Macular Edema: Two-Year Results from the Randomized Phase 3 YOSEMITE and RHINE Trials. Ophthalmology. 2024;131(6):708-723. doi:10.1016/j.ophtha.2023.12.026
  49. Diabetic Retinopathy Clinical Research Network Writing Committee, Haller JA, Qin H, et al. Vitrectomy outcomes in eyes with diabetic macular edema and vitreomacular traction. Ophthalmology. 2010;117:1087-1093.e3.
  50. Gandorfer A. Enzymatic vitreous disruption. Eye. 2008;22:1273-1277.
  51. Javey G, Schwartz SG, Jr FH. Emerging pharmacotherapies for diabetic macular edema. Exp Diabetes Res. 2012;2012:548732.

Post-Transplant Osteoporosis

ABSTRACT

 

Organ transplantation has become an established treatment for end-stage diseases, and in recent decades, survival rates have significantly improved. This progress has made diagnosing osteoporosis and other complications essential for prevention, treatment, and enhancing the quality of life for transplant patients. Patients who undergo solid organ transplantation often have risk factors for bone loss and fractures, and these risks can increase after transplantation. Post-transplant fractures have been identified as an independent risk factor for overall mortality in these patients. Preoperative low bone mass increases the likelihood of these complications.  Osteoporosis is a significant concern that can develop, worsened by glucocorticoids and immunosuppressive therapy, used after transplantation to prevent organ rejection. A major consequence of this is an elevated risk of fractures in bones with reduced strength and quality, leading to increased morbidity and mortality. Additionally, there are notable differences in bone loss and fracture rates among patients with different types of transplanted organs. Initially, reports indicated that in the first year following transplantation, there was a rapid loss of bone mass and an increased rate of fractures. Unfortunately, bone mass achieved after transplantation remains lower long-term compared to that of healthy individuals. Protocols involving less aggressive use of glucocorticoids and immunosuppressants have been introduced to reduce these complications, along with advancements in infection prevention and treatment, to improve the tolerability of treatments and long-term outcomes.  Another strategy has been to optimize bone mass in transplant candidates, administering calcium, vitamin D, and bisphosphonates before surgery. Therefore, the prevention and management of bone loss in both transplant candidates and post-transplant patients should be prioritized to reduce the risk of fractures.

 

INTRODUCTION

 

Organ transplantation is a well-accepted procedure for treating end-stage diseases such as kidney disease, chronic liver failure, end-stage pulmonary disease, and heart failure. Over the past decade, advancements in this technique have significantly improved patient survival and quality of life. The number of transplants has steadily increased, rising from 106,879 in 2010 to 157,500 in 2020 (1). However, bone loss is a common complication affecting long-term survival and quality of life during patient follow-up.

 

After transplantation, rapid and significant bone loss can occur within the first 3-6 months, along with a substantial increase in fracture risk (2,3). The rapid rate of bone loss is likely due to corticosteroids. Greater bone loss has been reported at vertebral and hip sites, along with high rates of fragility fractures. Over half of transplanted patients develop osteoporosis and one-third experience vertebral fractures (4). However, recent studies show a lower rate of bone loss and fractures following transplants, likely due to reduced glucocorticoid doses and modifications in immunosuppression regimens (5,6).

 

Several risk factors contribute to bone loss in patients including pretransplant disease, aging, hypogonadism, vitamin D deficiency, malabsorption, low body weight, physical inactivity, excessive tobacco or alcohol use, and immunosuppressive therapy (7) (Table 1).  Improved management of pretransplant risk factors has led to better bone mineral density (BMD) levels before transplantation.

 

Table 1. Risk Factors for Bone Disease in Patients with Organ Transplantation

Organ

 Potential Risk Factor

Pre-Transplant Factors Affecting All Transplant Patients

 

-Pre-existing low bone disease

-Lower bone mineral density

-History of Fractures

Factors Specific to Kidney Transplant Recipients.

 

-Female gender

-Older age

-β-microglobulin amyloidosis

-Glucocorticoids

-Secondary hyperparathyroidism

-adynamic bone disease

-Chronic metabolic acidosis

-Hypogonadism

 -Vitamin D deficiency

-Long-term hemodialysis

-Diabetes

Factors Specific to Liver

Transplant Recipients.

 

-Older age

-Alcoholism

-Hypogonadism

-Abnormal vitamin D metabolism

-Primary biliary cirrhosis

-Cholestasis

-Hyperbilirubinemia.

Factors Specific to Heart

Transplant Recipients.

 

-Low levels of vitamin D

-Hypogonadism

-Long-term heparin

-Loops diuretics

-Secondary hyperparathyroidism

-Physical inactivity,  

-Therapy with loop diuretics,

-Tobacco, alcoholism.

Factors Specific to Lung

Transplant Recipients.

 

-Glucocorticoid therapy

-Tobacco

-Physical inactivity

-Low body weight

-Malnutrition

-Hypogonadism

-Hypercapnia

-Hypoxia

-Hypogonadism

-Cystic Fibrosis

 

Post-Transplant Factors Affecting All Patients

 

 

-Glucocorticoids

-Immunosuppressors: cyclosporine, Tacrolimus.

-Older age

-Kidney dialysis

-Diabetes Mellitus

-High or low PTH

-Cholestatic liver disease,

-Primary Biliary Cirrhosis

 

This article will review the causes, prevention, and treatment of post-transplant bone loss and fractures in recipients of major organs involved in transplantation, such as kidney, liver, cardiac, and lung.

 

BONE AND FRACTURES BEFORE TRANSPLANTATION

 

Patients referred for solid organ transplantation due to various diseases (kidney, liver, heart, and lung) have a high prevalence of osteoporosis and fractures, with distinct characteristics specific to each transplanted organ (Table 2).

 

Table 2.- Prevalence of Osteoporosis and Fractures in Patients Pre-Transplantation * 

Organ

Osteoporosis

Fracture incidence

Spine

Hip

Renal

22%

20%

24%-38%

Liver

12%-55%

-

22% (5)

Heart

7%-40%

25%

40%

Lung

9%-69%

-

15%-50%

* Using dual X-ray densitometry, Vertebral fracture incidence in the first years post-transplantation. References:  1,2,3,4,5,6,9,120,122,123.

 

Renal Disease

 

End-stage renal disease (ESRD) is associated with a form of bone disease known as renal osteodystrophy. This condition develops due to factors such as Vitamin D deficiency, hypercalcemia, hyperphosphatemia, secondary hyperparathyroidism, metabolic acidosis, adynamic bone disease, osteomalacia, and aluminium overload which can lead to low bone BMD. In ESRD, cortical bone is predominantly lost, often resulting in peripheral fractures. The combination of fractures and the classic risk factors of chronic kidney disease significantly increases mortality.

 

Osteoporosis was found in 27.6% of 221 patients awaiting kidney transplantation and was associated with vascular calcification in 75% and parathyroid hyperplasia in 93.4% of cases.  In many of these patients, there is a preference for appendicular fractures, which is different from other solid transplant recipients.

 

Elevated bone markers of formation (PINP) and resorption markers (B-CTX) were also linked to decreased BMD, confirming a disruption in bone remodelling. This suggests that sustained PTH levels indicate abnormal osteoblast function characterized by high turnover and increased resorption which contributes to a higher fracture risk (11).

 

Early renal dysfunction is associated with a 38% increase in fracture risk in men over 65 years old.  In a cohort of 1477 participants from the Longitudinal Aging Study Amsterdam, followed for six years, patients with chronic kidney disease (CKD) stages 3a and 3b had a 28% and 46% higher fracture risk, respectively, compared to those with stages 1 and 2 (eGFR >60 ml/min/1.73 m2) (12). Early renal dysfunction was linked to lower femoral neck BMD, only in men, likely due to higher PTH levels. Several factors, including hemodialysis and diabetes mellitus further increase fracture risk. Patients with renal insufficiency, low bone turnover, and reduced BMD are at the highest risk for fractures.

 

Liver Disease

 

Osteoporosis and osteopenia are frequent complications of chronic liver disease, with a higher prevalence in patients awaiting liver transplantation, particularly in those with cholestatic liver diseases (14,15). Low BMD before transplantation is a major risk factor, influenced by inadequate calcium intake, malabsorption, malnutrition, vitamin D deficiency with secondary hyperparathyroidism, and an abnormal sex hormone ratio. In cirrhotic patients, factors such as hypogonadism, steroid use, and alcoholism can further accelerate bone loss (16). Heavy alcohol consumption affects bone metabolism by modulating Wnt and mTOR signaling [17], leading to decreased bone formation and increased adipogenesis.  Additionally unconjugated bilirubin in patients with cholestasis has been shown to exert harmful effects on osteoblasts, reducing their viability. Studies have demonstrated that sera from jaundiced patients can upregulate the RANKL/OPG ratio promoting osteoclastogenesis, while downregulating Runx2, a key transcription factor involved in osteoblast differentiation (18).

 

Calcium and serum PTH levels are typically normal, but two-thirds of patients may have low levels of 25OHD, due to impaired hepatic hydroxylation of cholecalciferol. Histomorphometric studies have revealed decreased cortical bone volume, low bone formation, poor mineralization, and slightly elevated osteoclastic activity (19)

 

Cardiac Disease  

 

Bone loss in candidates for cardiac transplantation is associated with the underlying disease and is commonly found in those with congestive heart failure. The prevalence of osteoporosis at the time of cardiac transplantation has been reported to range from 7% to 23% (20). Older studies indicate that 7% of these patients had lumbar osteoporosis and 20% had hip osteoporosis, meaning that fewer than 50% had normal BMD (21). In another study of 51 cardiac transplant candidates, the prevalence of osteoporosis was 27%, with longer waiting times before transplantation identified as a major risk factor for its development. (22).

 

Interestingly, despite 80% of these patients having vitamin D deficiency, 55% of cardiac transplant candidates, had BMD levels comparable to those of healthy individuals (23). This discrepancy may be explained by seasonal variations and the fact that these patients were ambulatory rather than on the transplant list. It is therefore recommended that patients on the waiting list be evaluated for bone loss prevention. The high prevalence of osteoporosis in this population is linked to chronic illness, poor nutrition, limited mobility, weight loss, gonadal dysfunction, and medications that negatively affect bone health (24). Additionally, patients with congestive heart failure, are often treated with medications such as loop diuretics, which increase urinary calcium losses. Furthermore, azotemia is known to impair vitamin D metabolism leading to elevated PTH levels and further contributing to bone loss.

 

Lung Disease

 

Patients who are candidates for lung transplantation are also highly likely to have osteoporosis before surgery. In many cases, chronic exposure to glucocorticoids is the primary risk factor. However, several other risk factors may also contribute to bone loss.  

 

A retrospective study of patients with diffuse parenchymal lung disease referred for lung transplantation found that 30% had lumbar osteoporosis and 49% had femoral osteoporosis (25). Another study reported even higher rates, with 50% of patients having lumbar osteoporosis and 61% having femoral neck osteoporosis (26,27). Additionally, most of these patients had a history of glucocorticoid therapy.  

 

Cystic Fibrosis (CF) in advanced stages, is another lung disease associated with a high prevalence of osteoporosis and fractures in patients awaiting lung transplantation. A meta-analysis found that bone complications are common in CF, with a prevalence of 23.5% for osteoporosis, 14% for vertebral fractures, and 19.7% for non-vertebral fractures (28).  In younger patients, potential risks such as calcium and vitamin D malabsorption, malnutrition, delayed puberty, hypogonadism, and glucocorticoid therapy have been identified as contributors to bone loss.

 

BONE LOSS AND FRACTURES AFTER TRANSPLANTATION

 

Bone loss and fracture rates are higher in patients who had osteoporosis before transplant (Table 3). In these cohorts, post-transplantation fractures are associated with increased mortality rates (29). The highest fracture risk has been reported in heart and lung recipients, as well as in those with comorbidities such as rheumatoid arthritis, gout, and chronic obstructive pulmonary disease (COPD. Regarding diabetes mellitus, no clear association has been established between this condition and fracture risk in post-transplanted patients.

 

Table 3.- Prevalence of Osteoporosis and Fractures in Patients Post-Transplantation

Organ

Osteoporosis

Fracture incidence

Spine

Hip

Renal

7%-44%

11%-56%

7-21%)

Liver

11%-52% (6)

-

24-65%

Heart

28%-50%

25%

22%-44%

Lung

31%-84%

-

18-37%

* Using dual X-ray densitometry, Vertebral fracture incidence in the first years post-transplantation. References: 1,2,5,6,7,8,9,10,38,120,121,122,123,124, 125,126.

 

Bone loss appears to be more significant during the first year after transplantation across all types of organ transplants, primarily affecting trabecular bone, including the vertebrae and peripheral skeleton. When analysing the incidence rate of osteoporosis per 1000 person-years, heart and lung transplants have the highest rates at 6.00, compared to 4.17 and 4.09 for liver and kidney transplants, respectively. A significant increase was also observed in heart and lung transplant recipients, with a rate of 9.36 per 1.000 person-years, compared to 2.44 for liver transplants and 1.98 for kidney transplants. (27). These differences are likely influenced by variations in immunosuppressive regimens and the use of lower steroid doses.

 

There are inconclusive findings regarding bone mass recovery in transplant recipients beyond the first year, with studies reporting decreases, increases, or stabilization (30,31). After five years of follow-up, hip BMD often remains lower than pre-transplant levels in many patients, similar to trends observed in quality-of-life assessments. (32). There is considerable overlap in BMD values between individuals who develop fractures and those who do not. This suggests factors affecting bone quality -such as geometry, microarchitecture, and intrinsic properties of bone- may play a more significant role in fracture risk than bone quantity alone in transplant patients.  

 

Trabecular Bone Score (TBS) a surrogate of bone quality, has been shown to deteriorate for up to a year after solid organ transplantation, even with therapeutic interventions, such as risedronate, ibandronate, vitamin D, and calcium, and without correlation with BMD. However, after one year, TBS improved and has been identified as a strong and independent predictor of fragility fractures (33,34).

 

Kidney Disease

 

As with other organ transplants, BMD loss in the first six months after kidney transplantation primarily affects cortical bones, largely due to persistent hyperparathyroidism and glucocorticoid use. It is estimated that 30% to 50% of patients continued to have hyperparathyroidism post-transplant (35). Specific risk factors for bone loss in kidney transplant recipients include previous chronic kidney disease, duration of dialysis, and hypomagnesemia. Additionally, patients with diabetes mellitus and nephropathy, have an increased risk of bone loss.

 

Post-transplant treatment factors, such as the use of tacrolimus and steroids, along with older age and elevated body mass index, further contribute to the risk of developing post-transplant diabetes (36). In kidney transplant recipients, those with vitamin D deficiency, have a 2.4 times higher risk of developing post-transplant diabetes compared with those with normal serum 25OHD (>30 ng/ml). Cross-sectional studies report osteoporosis prevalence rates ranging from 17% to 29% at the spine, 11% to 56% at the femoral neck, and 22% to 52% at the radius (11).  Although most fractures occur within the first three years post-transplant, the risk continues to increase over time in some patients. 

 

Liver Disease

 

After liver transplantation, bone density declines rapidly within the first six months, followed by a gradual increase in the subsequent months, with a tendency toward recovery within two years. However, not all patients regain normal BMD levels. Fracture incidence is highest during the first six months post-transplant, particularly in patients with primary biliary cirrhosis. While lumbar BMD tends to improve over time, hip BMD often remains lower for an extended period after transplantation (39).

 

Previous studies have reported an osteoporosis prevalence of 40.8% in 82 liver transplant recipients with various etiologies who were followed for one year (38). Similarly, a more recent study found a prevalence of 34.5% in 83 patients who were followed for an average of 80 months (39). After the first year, bone loss tends to slow, likely due to reduced use of glucocorticoids and immunosuppressants (40). Additionally, the decrease in bilirubinemia, known to negatively affect osteoblast differentiation and mineralization, may also play a role in this stabilization.  However, it is accepted that approximately one-third of liver transplant recipients, still have lumbar spine BMD below the fracture threshold two years post-transplant, despite improvements in survival and quality of life (41). Reported fracture rates after liver transplantation range from 24% to 65%.

 

Cardiac Disease

 

Bone loss progresses rapidly after transplantation in these patients, with an estimated decline of 6%-11% at the vertebral site within the first six months, and a similar rate at the hip within the first year (21). Most studies report vertebral fracture incidence ranging from 33 to 36% in the first one to three years post-transplant stabilizing in subsequent years (15). During the initial months after transplantation, bone resorption markers are elevated, while bone formation markers (such as osteocalcin), are reduced. The levels typically return to normal by the end of the first year (38).

 

Patients with congestive heart failure patients are particularly prone to significant bone loss compared to other cardiac transplant candidates (7). Higher exposure to glucocorticoids, vitamin D deficiency, and testosterone deficiency in men, are linked to reduced bone formation in the first year (Table 3). By the third-year post-transplant, a significant recovery in lumbar BMD is observed. While both men and women experience similar rates of bone loss, women are more prone to fractures due to lower pre-transplantation BMD.

 

In some patients, bone recovery has not been observed, with a reported fracture prevalence of 40% among 180 individuals who underwent cardiac transplantation over 10 years (44). Furthermore, significant bone loss has been documented, with decreases ranging from 3% to 10% in the lumbar spine, 6% to 11% in the femoral neck, and fracture rates between 12% and 36% within one year. These rates of bone loss are notably higher compared to the 1.41% and 0.35% annual decreases observed at the lumbar spine and femoral neck, respectively, in the healthy population (44,45).

 

Lung Disease

 

Patients with chronic obstructive pulmonary disease (COPD) have a high prevalence of osteoporosis which can reach 57% to 73% in the first year after lung transplantation (46). Fracture rates continue to rise in some cases, with an average prevalence of 53% by the fifth-year post-transplant (47). Lung transplants have reported the highest fracture rates, likely due to prolonged and intensive immunosuppressive therapy, along with additional life-risk factors. Among lung diseases, patients with COPD are particularly prone to bone loss.

 

OSTEOPOROSIS AFTER BONE MARROW TRANSPLANTATION

 

Allogenic or autologous stem cell transplantation is used to treat a variety of hematologic diseases. Advances in histocompatibility testing and improvements in infection control have significantly increased patient survival. Risk factors for osteoporosis include the underlying disease, comorbidities (such as diabetes and obesity), the use of glucocorticoids, and immunosuppressants.

 

The pathogenesis of bone loss in this context is not well understood. It has been postulated that implanted bone marrow stromal cells may have a reduced capacity to develop into osteogenic lineage. Bone loss is most prominent during the 6 to 12 years following transplantation. Osteoporosis has now been recognized as a common condition in these patients, with a reported prevalence of up to 23% within the first-year post-transplant. Therefore, bone marrow-related osteoporosis following stem cell transplantation appears to be less severe compared to that seen in solid organ transplantation. However, there are still relatively few publications addressing this issue.

 

PATHOGENESIS OF OSTEOPOROSIS POST-TRANSPLANTATION

 

Bone loss after solid organ transplantation is caused by numerous factors, including pre-transplant underlying disease, individual risk factors, and the use of glucocorticoids and immunosuppressor drugs. Additional contributors include age, limited mobility, smoking, excessive alcohol consumption, and lifestyle habits.

 

Glucocorticoids

 

Glucocorticoids are essential for managing rejection episodes. They are typically administered at high doses initially and then gradually reduced. However, if rejection occurs, the dosage is increased. Recent protocols have aimed to minimize glucocorticoid doses to reduce side effects. High doses of glucocorticoids play a significant role in bone loss. However, it has been shown that even small doses of glucocorticoids are associated with an increased fracture risk (48). The potential impact of glucocorticoid dose on bone loss is supported by the evidence showing no significant bone loss at the lumbar spine and proximal femur in renal transplant patients treated with low doses of steroids and tacrolimus. Additionally, studies have reported that steroid withdrawal in liver transplant patients accelerates lumbar spine bone density recovery without compromising graft tolerance (5,54).

 

The mechanisms contributing to glucocorticoid-induced bone loss are discussed in the Endotext chapter entitled “An Overview of Glucocorticoid-Induced Osteoporosis” in the Bone Mineral section.

 

DIRECT EFFECTS OF GLUCOCORTICOIDS ON OSTEOBLASTS AND OSTEOCYTES

 

Glucocorticoids inhibit bone formation by impairing the proliferation and differentiation of osteoblasts, as well as reducing their lifespan (49,50, 51). This occurs through the inhibition of the canonical Wnt/B catening pathway, and the upregulation of sclerostin and other peptides, which further suppress osteoblast formation.

 

DIRECT EFFECT OF GLUCOCORTICOIDS ON OSTEOCLASTS  

 

Glucocorticoids increase the production of RANKL (receptor activators of nuclear factor kappa-B ligand) and decrease the production of osteoprotegerin, leading to enhanced bone resorption.

 

INDIRECT EFFECTS  

 

Similar to other conditions with hypercortisolism, glucocorticoids in post-transplant patients can induce hypogonadism, by directly inhibiting the secretion of estrogens and androgens. They also impair calcium absorption, and negatively affect the synthesis of 25OHD, by inhibiting the 25 hydroxylases.

 

Calcineurin Inhibitors: Cyclosporine A (CsA) and Tacrolimus   

 

The impact of various immunosuppressor drugs used in post-transplant patients on bone health remains partially unknown and, in some cases, controversial. This uncertainty is likely due to differences in dosage, duration of use, and combination with other medications (Table 4).  Among these drugs, two are considered the cornerstone of immunosuppressive therapy for maintaining graft survival. Calcineurin inhibitors work by inhibiting cytokines synthesis, such as interleukin-2, through binding to immunophilin and suppressing the activity of calmodulin-dependent protein phosphatase calcineurin. This suppression reduces by downregulating genes regulatory products, including interleukin 2, interleukin receptors and H-ras and c-myc (55). Studying the effect of these drugs on bone health is challenging due to their frequent coadministration with glucocorticoids. The effects of these drugs are difficult to study, due to their coadministration with glucocorticoids.

 

Table 4. Effect of Immunosuppressor Drugs on Bone of Post-Transplant Patients

Drug  

Effect on Bone

Glucocorticoids       

Inhibition of bone formation

Stimulation of bone resorption

Reduce intestinal calcium absorption

Increase urinary calcium excretion

Decrease secretion of GH, estrogens and androgens

Calcineurin inhibitors

Cyclosporine A & Tacrolimus 

Marked stimulation of bone resorption

Minor increase in bone formation

Sirolimus (Rapamycin)

No effects on bone volume

Inhibits longitudinal growth

Decrease bone formation

Everolimus   

Decrease bone resorption

Azathioprine 

No effect on bone volume

Mycophenolate mofetil

No change in bone volume

 

Studies in rats have shown that CsA stimulates both osteoblast and osteoclast activity (56). However, administration of CsA in rodents has been associated with severe trabecular bone loss and induced high turnover bone loss, due to increased bone resorption and formation, accompanied by elevated levels of osteocalcin and 1,25(OH)2D3 (57). In a one-month comparative study in rats, both CsA and tacrolimus were found to reduce bone strength. CsA induced high-turnover bone loss by stimulating both bone formation and resorption whereas tacrolimus primarily stimulated bone resorption (58). Additionally, in a small study of renal transplant patients, steroid withdrawal was associated with lower bone loss when CsA was used alone (59). Consequently, the overall effect of CsA on bone density remains unclear.

 

Tacrolimus has been shown to induce trabecular bone loss without significantly affecting bone formation in the rat (57). Compared to Csa, Tacrolimus-based regimens may allow for a decrease in glucocorticoids use and result in a more modest reduction in BMD. In a study of 350 liver transplant recipients with chronic cholestatic liver disease, patients treated with CsA experienced lower post-transplant bone gain and higher incidence of fractures than those receiving tacrolimus (60). Other studies suggest that tacrolimus induces only a modest reduction in bone mass, while some reports indicate liver transplant recipients treated with tacrolimus had significantly higher femoral neck BMD compared to those receiving CsA (61).

 

mmTOR Immunosuppressors: Sirolimus and Everolimus  

 

Both drugs, inhibited the activity of the mammalian target of rapamycin (mTOR) a key protein kinase involved in regulating cellular metabolism, catabolism, immune responses, autophagy, survival, proliferation, and migration, to maintain cellular homeostasis.

 

Sirolimus, also known as rapamycin, has the advantage of not causing nephrotoxicity. In-vitro, Sirolimus inhibits the proliferation and differentiation of osteoclasts, making it a potential bone-sparing agent (61). Additionally, lower bone resorption markers observed in a study of renal transplant recipients suggest that this drug helps preserve bone mineral density (62). However, potential side effects seen in animal studies, including impaired growth, delayed callus formation, and interference with IGF1- indicating that sirolimus should be used with caution in clinical practice (63).

 

Everolimus is a derivative of rapamycin, targets the mTOR pathway, and inhibits interleukin-2 (IL”)-induced cell proliferation, thereby suppressing the immune response. Using mouse models everolimus has been shown to act as a potent inhibitor of osteoclast formation and activity (64).

 

Other Immunosuppressors: Mycophenolate Mofetil (Mn) and Azathioprine  

 

Mn inhibits B and T lymphocyte proliferation while azathioprine, a purine antagonist, reduce lymphocyte count and immunoglobulin synthesis. In animal studies, neither drug has shown an adverse effect on bone mass, and their use may contribute to reduced glucocorticoid co-administration. Currently, many recommended post-transplant regimens consist of a calcineurin inhibitor -such as tacrolimus or cyclosporine A in combination with an antiproliferative agent Mm), with or without low-dose corticosteroids (e.g., prednisolone).

 

Azathioprine, another purine antagonist, further decreases B and T lymphocytes.  The impact of sirolimus, tacrolimus, and Mn on osteoclasts has been studied in cell-cultured systems. The authors detected that the inhibition of osteoclast precursors and proliferation, with Mn and tacrolimus, was lower compared to sirolimus (65). Both drugs are given in protocols combined with other immunosuppressors, which makes it difficult to determine their effects on bone.

 

POST-TRANSPLANTATION SERUM PTH, VITAMIN D, TESTOSTERONE, AND MAGNESIUM

 

Changes in serum PTH levels vary following solid organ transplants. No significant alteration in PTH levels has been observed after cardiac transplants, whereas liver transplant recipients often experience a moderate increase. In kidney transplant patients, PTH levels may initially decrease by approximately 50% within the first six months post-transplantation (2). Notably, secondary hyperparathyroidism is observed in some kidney transplant recipients, particularly those with prolonged pre-transplant dialysis duration, reduced glomerular filtration, and low serum 25OHD levels (66). The exact causes of elevated serum PTH levels remain unclear but may be associated with the decline in renal function, which affects approximately 20% of transplant recipients. For a detailed discussion of hyperparathyroidism in patients with renal disease see the Endotext chapter entitled “Hyperparathyroidism in Chronic Kidney Disease” in the Bone and Mineral section.

 

Serum 25OHD levels are often low before transplantation in all transplant candidates before the procedure and remain low afterward. Following transplantation, 91% of patients experience vitamin D insufficiency, and 55% have a deficiency, with the more severe cases observed in liver transplant recipients (68). However, a tendency toward higher levels is typically seen, likely due to supplementation. This deficiency, along with factors such as immobilization, low sunlight exposure, and inadequate vitamin D intake, contributes to an increased risk of bone loss. Additionally, excess glucocorticoid leads to an increased catabolism of 25OHD.

 

Furthermore, the frequently observed lower testosterone levels found in transplant patients, which contribute to bone loss, generally recover within one year.

 

Hypomagnesemia is commonly observed in kidney and cardiac transplant recipients and has been associated with the use of calcineurin inhibitors, particularly tacrolimus. Hypomagnesemia can lead to bone loss by increasing the number of osteoclasts and decreasing osteoblasts, resulting in the deterioration of trabecular bone mass and stiffness, along with elevated PTH levels (127).

 

POST-TRANSPLANT OSTEOPOROSIS MANAGEMENT

 

Pre-Transplant Considerations

 

The evaluation of bone metabolism and fracture risk in candidates for solid organ transplantation should include the following components (Table 5):

 

-Medical History, Physical Examination, and Assessment of Traditional Osteoporosis Risk Factors: Key elements include age, sex, low body weight, nutritional status, history of fragility fractures, and prior falls. Notably, a history of falls is an important independent risk factor for fractures in the general population (68)

 

-Evaluation of Potential Secondary Causes of Osteoporosis: These may include endocrinological, nutritional, gastrointestinal, nephrological, rheumatological, hematological, and pharmacological factors (69)

 

-Bone Turnover Markers (BTMs): Although not diagnostic for osteoporosis, BTMs may serve as surrogate markers for bone remodeling activity and may aid in estimating fracture risk. In a study involving patients with chronic kidney disease (CKD) in the pre-transplant setting, BTMs were inversely associated with BMD, although no significant association with fracture prevalence was observed (70)

 

-Lumbar Spine Radiography: This modality is useful for detecting vertebral fractures, many of which are asymptomatic (71). Radiographic screening is recommended for all solid organ transplant candidates and is particularly advised in lung transplant recipients, given a reported vertebral fracture prevalence of approximately 25%, often without correlation to BMD measurements (72).

 

-Dual-energy X-ray absorptiometry (DXA): DXA scanning is recommended for all solid organ transplant candidates. In patients with CKD stages 3–5, DXA has demonstrated predictive value for fracture risk (73). However, its accuracy may be compromised by spinal deformities, degenerative changes, and vascular (e.g., abdominal aorta) or articular calcifications, which can lead to BMD overestimation.

 

-Fracture Risk Assessment Tool (FRAX): The FRAX algorithm estimates the 10-year probability of hip and other major osteoporotic fractures using clinical risk factors, with or without BMD input (74). Although CKD is not included in the FRAX model, its use is still recommended for renal transplant candidates, as predictive utility has been demonstrated in non-dialysis populations (75).

 

-Trabecular Bone Score (TBS): Derived from DXA images of the lumbar spine, TBS evaluates bone microarchitecture through texture analysis (76). Its value as an independent predictor of fragility fractures has been confirmed in patients with CKD (77).

 

-Bone biopsy: In patients with CKD stages 3a–5D, bone biopsy should be considered when there are unexplained fractures, persistent bone pain, hypercalcemia, hypophosphatemia, or suspicion of aluminum toxicity.

 

Table 5. Clinical Evaluation in Patients with Solid Organ Transplantation

History

-Age

-History of previous fractures

-Gonadal status

-Dietary intake calcium/vitamin D

-Alcohol abuse

-Smoking

-Physical Activity: sedentarism, exercise, mobility

-Chronic disease: Diabetes, renal osteodystrophy, end-stage pulmonary

  disease, hepatic diseases.

-Medications

Physical examination

-Weight

-BMI

-Presence of imbalance, complications

Laboratory

-Serum Ca, P04, Mg

-Serum intact PTH

-Serum 25OHD

-Renal function parameters

-Bone mineral density

-Trabecular Bone Score

-Bone turnover markers (formation/resorption)

-Gonadal hormone levels (testosterone in men, estradiol, LH levels in women)

-Thyroid function studies

-Urinary calcium excretion

Densitometry: DXA

Fracture Risk Assessment: FRAX® test

 

Preventive Management and Post-Transplant Osteoporosis Treatment

 

Although numerous studies in solid organ transplant recipients have demonstrated the beneficial effects of antiresorptive agents in preventing bone loss, the majority have been limited by insufficient statistical power to detect significant differences in fracture incidence. Nonetheless, two reports have provided evidence supporting the effectiveness of initiating treatment with bisphosphonates or vitamin D supplementation in reducing the risk of post-transplant fractures (78,79) (Table 6).

 

Given that patients who have undergone solid organ transplantation are at a higher risk of fractures compared to the general population, particularly within the first year post-transplant, several experts and professional societies recommend preventive treatment during this critical period, especially for heart, lung, and liver transplant recipients. For instance, the International Society for Heart and Lung Transplantation (ISHLT) guidelines recommend preventive therapy for all heart transplant recipients during the first year following transplantation (80). Similarly, the American Association for the Study of Liver Diseases (AASLD) guidelines advocate for the use of bone-protective treatment in all liver transplant recipients (81). In lung transplantation, where the incidence of osteoporosis and osteopenia is significantly higher than in other transplant populations, preventive treatment is also strongly recommended.

 

In contrast, there is currently no consensus regarding the use of preventive therapy in renal transplantation. Some authors have proposed initiating antiresorptive treatment in patients with osteopenia and a high risk of fracture. They emphasize the importance of a comprehensive fracture risk assessment, which should include factors such as age, sex, history of fragility fractures, bone mineral density (BMD), bone turnover markers, and parathyroid hormone (PTH) levels (82). Preventive treatment is generally recommended for patients with elevated fracture risk and/or evidence of osteopenia.

 

The management of bone loss in patients undergoing bone marrow transplantation is currently under investigation. A recent meta-analysis suggests that, in patients with a BMD T-score below -1.5, bisphosphonates, particularly zoledronic acid, are effective in preventing bone loss. If renal function is impaired or bisphosphonates are not well tolerated, denosumab is recommended as an alternative. Clinical trials involving teriparatide, abaloparatide, and romosozumab have not yet been published (128).

 

Table 6.  Antiresorptive Therapy with Proven Efficacy in Increasing Bone Mineral Density in Solid Organ Transplant Patients

Medications

Dose and route of administration

Rare possible long-term Adverse Effects

Bisphosphonates

-Alendronate

 

 

 

-Risedronate

 

-Ibandronate

 

 

-Zolendronic acid

 

-Pamidronate

 

 

70 mg PO/week

 

 

 

5 mg PO/daily

 

150 mg PO/monthly

3 mg IV/3 months

 

5 mg IV/year for 5 yrs

 

30 mg IV/3 months

 

GI intolerance, hypocalcemia, rare jaw osteonecrosis and atypical femur fracture

 

Same as above

 

Same as above

 

 

Same as above plus infusion reaction

 

Same as above

Denosumab

 

 

60 mg SC/6 months

Liver safe, fractures rebound after cessation

Teriparatide

 

20 ug/day SC/2 years only

Hypercalcemia

PO = per os; SC = subcutaneously

 

NON-PHARMACOLOGICAL MEASURES

 

The general recommendations for all transplant patients are as follows:

 

  • Smoking cessation and reduced alcohol consumption (especially in the case of liver transplantation).
  • Limiting caffeine intake to fewer than 1–2 caffeinated beverages per day.
  • Nutritional assessment to identify patients at risk of malnutrition or those with established malnutrition, enabling appropriate dietary modifications and initiation of nutritional supplementation if needed. It is also crucial to ensure adequate protein intake, as this helps minimize bone loss, particularly in patients with prior hip fractures.
  • Avoidance of prolonged immobilization due to the association between sarcopenia, increased risk of falls, and bone fractures. Physical exercise is strongly recommended, including:
    • A 30- to 40-minute walk per session (3 to 4 times per week).
    • Back and postural exercises for a few minutes per day (3 to 4 times per week).
    • Strength training exercises.
  • Implementation of fall prevention measures, both at home and outdoors.

 

Finally, to optimize bone metabolism in transplant patients and reduce the risk of developing osteoporosis, it is recommended to appropriately adjust the doses of steroids and immunosuppressants (maintaining these drugs within the therapeutic range and avoiding overdosing) (83).

 

CALCIUM AND VITAMIN D SUPPLEMENTATION

 

Although conclusive data in patients with solid organ transplantation is lacking, it is recommended to achieve and maintain normal levels of calcium and vitamin D, with supplementation provided if necessary. Vitamin D deficiency is particularly common in transplant recipients, making supplementation especially important for these patients. The recommended daily intake of calcium ranges from 1000 to 1200 mg, depending on age and sex (84). If dietary calcium intake is insufficient, supplementation should be considered. Vitamin D deficiency leads to inefficient absorption of dietary calcium and phosphorus, as well as secondary hyperparathyroidism, which can impair bone mineralization. An optimal 25(OH)D level of >30 ng/mL is recommended, similar to the target for steroid-induced osteoporosis.

 

A study involving pre-renal transplant recipients found that cholecalciferol supplementation with vitamin D and calcium, did not lead to a significant improvement in BMD compared to calcium supplementation alone (85). However, a recent study in renal transplant patients showed that taking 4000 IU/day of cholecalciferol for one year reduced lumbar BMD loss compared to placebo (percentage change in BMD: −0.2% with cholecalciferol vs. −1.9% with placebo). The positive effect on BMD was more pronounced in patients who had significant bone mass impairment at the beginning of treatment with more pronounced bone mass impairment at the start of treatment (86)

 

CALCITRIOL, PARACALCITOL, ALFACALCIDOL

 

Calcitriol is the active form of vitamin D, while paricalcitol and alfacalcidol are synthetic analogs of vitamin D. It has been demonstrated that these compounds reduce or stabilize parathyroid hormone (PTH) levels and improve bone histology post-transplantation (84,86). Their use has been proposed as a preventive treatment for osteoporosis in transplant patients who may have contraindications to or intolerance of bisphosphonates.

 

In heart transplantation, a clinical trial comparing alendronate and calcitriol over one year demonstrated that calcitriol significantly reduced bone mass loss in the lumbar spine and femoral neck, with no significant differences between the bisphosphonate and calcitriol groups (87).  In renal transplant patients with secondary hyperparathyroidism, supplementation with paricalcitol for six months was associated with reductions in PTH levels and proteinuria, as well as an improvement in bone mass loss (88).

 

A meta-analysis demonstrated a reduction in vertebral fractures with bisphosphonates or calcitriol during the first year of administration in solid organ transplant recipients (89). It is important to note that this meta-analysis showed considerable heterogeneity across the included studies (e.g., type of transplanted organ, type and dose of bisphosphonate used, and immunosuppressive regimen). Furthermore, only two of the eleven studies included calcitriol as the active comparator. Calcidiol was also found to be an effective therapy in 40 patients following cardiac transplantation. After 18 months of treatment, 12,000 IU weekly of calcidiol led to a 4.9% increase in lumbar BMD, compared to −1.19% and −0.19% with calcitonin and etidronate, respectively. Calcidiol causes less hypercalcemia and hypercalciuria than calcitriol (90).

 

Despite their potential benefits, calcitriol and synthetic analogues should be used with caution, as their use is associated with an increased risk of hypercalcemia and hypercalciuria. Therefore, periodic monitoring of serum calcium and 24-hour urinary calcium levels is recommended.

 

BISPHOSPHONATES (BFs)

 

These drugs have been the most widely used treatment for osteoporosis for over two decades (Table 6). They are analogs of inorganic pyrophosphate that inhibit bone resorption. BFs are generally safe and well-tolerated. They are the initial treatment option for both the prevention and management of post-transplant osteoporosis. Numerous studies have demonstrated improvements in bone density with BFs; however, there is currently no specific recommendation favoring one bisphosphonate over another.

 

In an early trial, the comparison of salmon calcitonin and sodium etidronate over one year showed that BFs were capable of inducing a greater increase in lumbar BMD (6.4% vs. 8.2%) (91). A more recent retrospective study in renal transplant patients with end-stage renal disease demonstrated that BF treatment for 3.5 years was associated with a significant increase in lumbar spine BMD in recipients 15 years post-transplant (92). Additionally, in renal transplant patients, administration of BFs for 12 months was associated with improvements in lumbar and femoral neck BMD, as well as a reduction in fracture risk (RR 0.62; CI: 0.38–1.01) (86).

 

Two trials with risedronate have been conducted: one involving 101 patients after kidney transplantation and another with 41 liver transplant patients, both with one year of follow-up. In both trials, there was a significant and early increase in lumbar BMD at 6 months (93,94). In a study of 84 patients with liver or heart transplantation, alendronate and zoledronate administered for one year prevented hip bone loss. However, in heart transplant patients, lumbar BMD remained stable with zoledronate but decreased with alendronate (95).

 

A more recent meta-analysis reported improvements in BMD and reductions in fracture risk with BFs use in liver transplant patients (96). The results indicate that BFs are associated with superior fracture prevention compared to calcium and vitamin D alone (OR = 0.37; CI: 0.17–0.7). Oral BFs were linked to a lower incidence of vertebral and overall fractures, as well as improvements in lumbar spine and femoral neck BMD, compared to intravenous BFs. The potential superiority of oral BFs may be due to several studies using intravenous zoledronate and ibandronate with doses that did not align with those recommended in clinical guidelines.

 

The tolerability of BFs is generally acceptable, with the common adverse effect being gastroesophageal reflux (97). Therefore, caution should be exercised in liver transplant patients with pre-existing cirrhosis if esophageal pathology is present, especially in those with pre-transplant esophageal varices. In transplant patients with a history of esophageal injuries or who develop esophagitis with oral bisphosphonate use, zoledronate may be considered, as its parenteral administration is not associated with reflux development. Furthermore, treatment with zoledronate is associated with better patient adherence (98) and may be an option to reduce polypharmacy in transplant patients (95). Another complication associated with BF use is hypercalcemia, typically linked to intravenous zoledronate use and pre-existing vitamin D deficiency (86). Finally, due to its potential to exacerbate adynamic bone disease, BFs are not recommended in patients with glomerular filtration rates below 30 mL/min (96).

 

DENOSUMAB

 

Denosumab is a monoclonal antibody against the receptor activator of nuclear factor kappa-B ligand (RANKL), a key factor involved in osteoclast differentiation. By blocking the binding of RANKL to its receptor, RANK, denosumab reduces the formation, function, and survival of osteoclasts. This action decreases bone resorption, increases BMD, and reduces fracture risk in both the short and long term (99).

 

Therapy with denosumab has demonstrated improvements in BMD in patients undergoing solid organ transplantation, although data are limited. In a study involving 93 renal transplant patients with osteoporosis, after 12 months of denosumab treatment, there was an improvement in bone mineral density of 4.6% (3.3–5.9%) in the lumbar spine and 1.9% (0.1–3.7%) in the total hip (100).  Similarly, it was shown that the prevalence of osteoporosis decreased in the lumbar spine from 72% to 50% and in the femoral neck from 78% to 69% in 32 renal transplant recipients (101). High-resolution peripheral quantitative computed tomography has described the beneficial short-term effects of one year of denosumab treatment on bone structure, microarchitecture, and strength in kidney transplant recipients (102).

 

In a study with various types of transplants (49 renal, 14 liver, and 15 simultaneous kidney-pancreas transplant recipients), denosumab treatment over one year increased lumbar BMD by 11.5 ± 6.2% and femoral neck BMD by 10.4 ± 8.3%, reducing the prevalence of osteoporosis in the spine by 48% and in the proximal femur by 18% (103). In a 4-year trial, denosumab was linked to a significant increase in BMD (9.0 ± 10.7% in the lumbar spine and 3.8 ± 7.9% in the total hip) in renal transplant patients, while the control group showed lower increases in BMD at all sites (104).

 

Few studies have evaluated whether denosumab improves densitometric outcomes compared to BFs. A clinical trial involving 85 renal transplant patients compared the impact of denosumab versus BFs after more than 3 years and found that denosumab treatment resulted in a significant increase in bone density in both the lumbar spine and femoral neck compared to the BFs group (105). A slight increase in mild urinary tract infections and asymptomatic episodes of hypocalcemia (especially in patients with impaired renal function) has been reported with denosumab. To detect hypocalcemia, it is recommended to measure corrected serum calcium and 25(OH)D levels 2–4 weeks after the denosumab dose (106). No severe complications, such as osteonecrosis of the jaw, have been reported in transplant patients using denosumab. As for vertebral fractures observed in postmenopausal osteoporosis following denosumab discontinuation, this complication has not been evaluated in transplant patients.

 

In summary, the available studies demonstrate that short- and medium-term use of denosumab is a useful option for treating osteoporosis in patients who have undergone organ transplantation. Its use should be considered, particularly in patients with established chronic kidney disease where bisphosphonates may be contraindicated. Moreover, a sub-analysis of the FREEDOM study showed that the reduction in fracture risk remained similar in patients with chronic kidney disease stages I to IV, suggesting that denosumab could be highly beneficial for this group of patients (107).

 

TERIPARATIDE

 

Teriparatide is a fragment of parathyroid hormone comprising amino acids 1–34, retaining the activity of the intact peptide. It is an anabolic agent with proven efficacy in reducing both vertebral and non-vertebral fracture risk in postmenopausal women with osteoporosis (108). However, similar to denosumab, publications evaluating the use of teriparatide in solid organ transplant patients are limited.

 

In a 6-month clinical trial, 26 renal transplant patients received either teriparatide or a placebo. In the teriparatide-treated group, no improvement in BMD at the femoral neck, lumbar spine, or distal radius was observed; rather, BMD remained stable. In contrast, patients receiving a placebo experienced a decrease in femoral neck bone mass over the 6-month study period (109).

 

In another study, teriparatide treatment in 18 renal transplant patients was associated with a significant improvement in lumbar spine BMD after 1 year, stability of total hip bone mass, and a significant increase in femoral neck BMD after 2 years of treatment (110). No changes were observed in bone microarchitecture, as assessed by the Trabecular Bone Score.

 

Teriparatide was generally well tolerated, with isolated episodes of mild and transient hypercalcemia and hypophosphatemia.

 

In a separate retrospective study of renal transplant patients with osteoporosis, the differences in BMD after 1 year of treatment with alendronate or teriparatide were evaluated. Teriparatide was associated with a significant improvement in BMD at all sites, while bisphosphonate use was linked to a lower rate of complications (111).

 

SUMMARY OF TREATMENT APPROACHES. WHEN TO START AND STOP ANTIRESORPTIVE THERAPY

 

The Bone Health and Osteoporosis Foundation has made the following recommendations for initiating pharmacologic therapy:

 

  1. Patients with lumbar, femoral neck, or total hip BMD T-score ≤-2.5.
  2. Postmenopausal women and men aged ≥50 years with lumbar, femoral neck, or total hip BMD between -1.0 and -2.5 and a 10-year probability of a hip fracture ≥3% or a 10-year probability of a major osteoporosis-related fracture ≥20%.
  3. A hip or vertebral fracture regardless of T-score.
  4. A pelvis, proximal humerus, or distal forearm fracture in a person with low bone mass or osteopenia.

 

It is recommended that glucocorticoids be administered at the lowest dose possible, and reduced or withdrawn when feasible, in order to minimize early bone loss after transplantation.

 

Supplementation with calcium and vitamin D is advised. Serum 25OHD levels should be above 50 nmol/L. In kidney transplant recipients; alfacalcidiol or calcitriol can be used due to impaired 1 alpha hydroxylation of this metabolite to reduce secondary hyperparathyroidism.

 

In the presence of osteoporosis, antiresorptive therapy should be administered. BFs are the most widely used, while denosumab is an alternative, especially in cases of intolerance to bisphosphonates. For patients with suppressed bone turnover markers, BFs should be avoided due to the potential risk of exacerbating low bone turnover or adynamic bone disease. Although denosumab is metabolized hepatically and does not accumulate in renal insufficiency, hypocalcemia and the risk of rebound vertebral fractures upon withdrawal require careful monitoring and consideration of initiating BF therapy. There is limited experience with other drugs, such as romosozumab and abaloparatide, which have demonstrated efficacy in treating adult osteoporosis.

 

FOLLOW-UP OF POST-TRANSPLANT PATIENTS

 

After initiating treatment, BMD should be monitored using Dual-energy X-ray absorptiometry (DXA). Although there are no specific recommendations for transplant patients, it is reasonable to repeat DXA after 1 year if denosumab is used, and after 1 or 2 years if bisphosphonates are the treatment (112). If an adequate densitometric response is not observed after the first or second year, considering an alternative treatment would be logical.

 

The decision to stop treatment should be individualized based on clinical information. After 3 to 5 years of bisphosphonate treatment, patients with a modest fracture risk (T-score >-2.5) may discontinue treatment, while those at high fracture risk (T-score ≤-2.5) should either continue treatment or begin alternative therapy. Research has shown a residual positive skeletal effect even after discontinuing bisphosphonate treatment for several years. Reassessment of fracture risk is recommended after 2–3 years of bisphosphonate therapy. Discontinuation of denosumab treatment is associated with rapid bone loss and multiple vertebral fractures; therefore, bisphosphonates are recommended as an alternative therapy to maintain the gains in bone density (129).

 

REFERENCES

 

  1. https://www.statista.com/statistics/398645/global-estimation-of-organ-transplantations/ Access: July 25, 2024.
  2. 2. Shane E, Papadopoulos A, Staron RB, Addresso V, Donovan D, McGregor C, Schulman Bone loss and fracture after lung transplantation. Transplantation 1999; 58:220-7
  3. Chen H, Lai YR, Yang Y, Gau SY, Huang CY, Tsai TH, Huang KH, Lee CY. High risk of osteoporosis and fracture following solid organ transplantation: a population-based study. Front Endocrinol 2023; 14:1167574
  4. Maalouf NM, Shane E. Osteoporosis after solid organ transplantation. Journal Clinical Endocrinology and Metabolism, 2005; 90:2456-2459
  5. Martinez GM, Gomez R, Jodar E, Loinaz C, Moreno E, Hawkins F. Long-term follow-up of bone mass after orthotopic liver transplantation: Effect of steroid withdrawal from the immunosuppressive regimen. Osteoporosis Int 2002; 13:147-150
  6. lyer SP, Nikkel LE, Nishiyama KK, Dworakowski E, Cremers S, Zhang C, McMahon D, Boutroy A, Liu XS, Ratner L, Cohen DJ, Guo XE, Shane E, Nickolas T. Kidney transplantation with early corticosteroid withdrawal: paradoxical effects at the central and peripheral skeleton. J Am Soc Nephrol 2014; 25:1331-4.
  7. Kovvuru K, Kanduri SR, Vaitla P, Marathi R, Gosi S, Garcia Anton DF, Vabez Rivera FH. Garla V. Risk factors and management of osteoporosis post-transplant. Medicina 2020; 56(6):302.
  8. Elder G.Current Status of mineral and bone disorders in transplant recipients. Transplantation 2023; 107(10):2107-2119.
  9. Poole KE, Reeve J. Parathyroid hormone -a bone anabolic and catabolic agent. Curr Opin Pharmacol 2005; 5:612-617
  10. Jin Kim K, Ha J, Kim SW, Kim JE, Lee S, Choi HS, Hong N, Kong SH, Ahn SH, Park SY, Back KH on Behalf of Metabolic Bone Disease Study Group of Korean Endocrine Society. Endocrinol Metab 2024; 39:267-282
  11. Lv J, Xie W, Wang S, Zhu Y, Wang Y, Zhang P, Chen J. Associated factor of osteoporosis and vascular calcification in patients awaiting kidney transplantation.International Urology and Nephrology 2023; 55:3217-3224
  12. Chen H, Lips P, Vevloet MG, van Schoor NM, de Jongh T. Association of renal function with bone mineral density and fracture risk in the longitudinal aging study Amsterdam. Osteoporos Int 2018; 29:2129-2138
  13. Hsu S, Bansal N, Denburg M, Ginsberg C, Hoofnagle AN, Isakova T, Ix JH, Robinson-Cohen C, Wolf M, Kestenbaum BR, de Boer IH, Zelnick LR. Risk factors for hip and vertebral fractures in chronic kidney disease: the CRIC Study. J Bone Min Res 2024:39:433-442
  14. Eastell R, Dickson ER, Hodgson SF, Wiesner RH, Porayko MK, Wahner HW, Cedel SL, Riggs BL, Krom RA. Rates of vertebral bone loss before and after liver transplantation in women with primary biliary cirrhosis. Hepatology 1991; 14:296-300
  15. Leidig-Bruckner G, Hosch S, Dodidou P, Rtschel D, Conradt C, Klose C, Otto G, Lange R, Theilmann L, Zimmerman R, Pritsch M, Ziegler R. Frequency and predictors of osteoporotic fractures after cardiac or liver transplantation: a follow-up study. Lancet 2001; 357:342-7
  16.  Compston JE. Osteoporosis after liver transplantation. Liver Transpl 2003; 9:321-30.
  17.  Luo Z, Liu Y,  Liu Y, Chen H,  Shi SYi Liu Y.  Cellular and molecular mechanisms of alcohol-induced osteopenia. Cell Mol Life Sci 2017:74:4443-53
  18. Guañabens N,  Parés A.  Liver and bone. Arch Biochem Biophys. 2010; 503(1):84-94.
  19. Vedi S, Greer S, Skingle SJ, Garrajam NJ, Ninkovic M, Alexander GA, Compston JE.Mechanism of bone loss after liver transplantation: a histomorphometric analysis. J Bone Miner Res 1999; 13:281-7
  20. Forien M, Coralli R, Verdonk C, Ottaviani S, Ebstein E, Demaria L, Palazzo E, Dorent R, Dieude P. Osteoporosis and risk of fracture in heart transplant patients. Frontiers in Endocrinology 2023; 13:14:1252966
  21. Shane E, Rivas M, McMahon DJ, Staron RB, Silverberg SJ, Seibel MJ, Mancini D, Michler RE, Aaronson K, Addesso V, Lo SH. Bone loss and turnover after cardiac transplantation. J Clin Endocrinol Metab 1997; 821:1497-1506
  22. Garcia Delgado I, Gil-Fraguas L, Robles E, Martinez G, Hawkins F. Clinical factors associated with bone mass loss previous cardiac transplantation. Med Clin (Barc)2000; 114:761-764.
  23. Iqbal N, Ducharme J, Desai S, Chamber S, Terembula K, Chan GW, Shults, Leonard MB, Kumanyka S. Status of bone mineral density in patients selected for cardiac transplantation. Endocrine Practie 2008; 15:704-712
  24. Cohen A, Shane E. Osteoporosis after solid organ and bone marrow transplantation. Osteoporos Int 2003:14:617-30
  25. Shane e, Silverberg SJ, Donovan D, Papadopoulos A, Staron RB, Addesso V, Jorgesen B, McGregor C, Schulman L. Osteoporosis in lung transplantation candidates with end-stage pulmonary disease. Am J Med 1996; 101:262-9
  26. Tschopp O, Boehler A, Speich R, Weder W, Seifert B, Russi EW, Schmid C. Osteoporosis before lung transplantation: association with low body mass index, but not with underlying disease. Am J Transplant 2002; 2:162-72
  27. Kovvuru K, Kanduri SR, Vaitla P, Marathi R, Gosi S, Garcia Anton DF, Cabeza Rivera FH, Garla V. Risk Factors and Management of osteoporosis post-transplant. Medicina 2020; 56(6):302
  28. Paccou J, Zeboulon, Combescure C, Gossee L, Cortet T. The prevalence of osteoporosis, osteopenia and fractures among adults with Cystic Fibrosis: A systematic literature review with meta-analysis. Calcif Tissue 2010; 86:1-7
  29. Chen H, Lai RR, Yang Y, Gau SY, Huan CY, Tsai TH, Huan KH, Lee CY. High risk of osteoporosis following solid organ transplantation: a population-based study. Front Endocrinol 2023: 14: 1167574
  30. Anastasilakis AD, Tsourdi E, Makras P, Polyzos SA, Meter C, McCloskey EV, Pepe J, Zillikens MC. Bone disease following solid organ transplantation: A narrative review and recommendations for management from the European Calcified Society. Bone 2019; 17:401-418
  31. Perez Saez MJ, Herrera D, Prieto Alhambra D, Nogues X, Vera M, Redondo Pachon D, Mir M, Guerri R, Crespo M, Diez Perea A, Pascual J: Bone density, microarchitecture and tissue quality long-term after kidney transplant. Transplantation 2012; 101:1290-4
  32. Monteagudo LJ, Diaz-Guerra GM, Badillo AÁ, Álvarez Martínez CJ, Pablo Gafas A, Gámez García AP, López López E, Arriscado CM, Hawkins Carranza F.  Health-Related Quality of Life Long-Term Study in Lung Transplant Patients: A Single-Center Experience. J Surg Res. 2024; 299:313-321.
  33. Librizzi MS, Guadalix S, Martínez-Díaz Guerra G, Allo G, Lora D, Jimenez C, Hawkins F Trabecular bone score in patients with liver transplants after 1 year of risedronate treatment. Transpl Int. 2016 ;29(3):331-7. 
  34. Strommen RC, Godang K, Finnes TE, Smerud KT, Reisaeter AV, Hartmann A, Asberg A,Bollerslev J, Pihistrom HK. Trabecular bone score improves early after successful kidney transplantation irrespective of antiresorptive therapy and changes in bone mineral density. Transplantation Direct 2024;10: e1566
  35. Weisinger JR, Carlini RG, Rojas E, Bellorin-Font E. Bone disease after renal transplantation. Clin J Am Soc Nephrol 2006; 1:1300-13
  36. Tej KW, Geailt CM, Lappin DWP. Post-transplant bone disease in kidney transplant recipients: diagnosis and management. Int J Mol Sci 2024; 25(3):1859
  37. Ebeling PR. Primer on Metabolic Bone Diseases and Disorders of Mineral Metabolism. Ninth Edition. Edited byJP Bilezikian,2019, chapter 54 Transplantation Osteoporosis, p- 425-434
  38. Hawkins FG, Leon M, Lopez MB, Valero MA, Larrodera L, Garcia I, Loinaz C, Moreno E. Bone loss and turnover in patients with liver transplantation. Hepato-Gastroenterol 1994; 41:158.161
  39. Li XY, Lew JCH, Kek PC. Bone mineral density following liver transplantation: a 10-year trend analysis. Archives of Osteoporosis 2021; 16:169
  40. Krol CG, Dekkers OM, Kroon HM, Rabelink T, van Hoek B, Hamdy NA. Longitudinal changes in BMD and fracture risk in orthotopic liver transplant recipients not using bone-modifying treatment. J Bone Miner Res 2014; 29(8):1763-9
  41. Hamburg SM, Piers DA, van den Berg AP, Slooff MJH, Haagsma EB. Bone Mineral Density in the long term after liver transplantation. Osteoporos Int 2000; 11:600-606
  42. Rodriguez Aguilar EF, Peez Escobar J, Sanchez Herrera D, Garcia Alanis M, Tapania Y, Anchapaxi I, Gonzalez Flores E, Garcia Juarez I. Bone disease and liver transplatantion a review. Transplant Proc 2021; 53:2346-53
  43. Shane E, Rivas MC, Silverberg SJ, Kim TS, Staron RB, Bilezikian JP. Osteoporosis after cardiac transplantation. Am J Med 1993:94:257-264
  44. Dalle Carbonate L, Zanatta M, Braga V, Sella S, Vilei MT, Feltrin G, Gambino A, Pepe I, Rossini M, Adami S, Giannini S. Densitometric threshold and vertebral fractures in heart transplant patients. Transplantation 2011; 92:106-11
  45. Lofdahl E, Radegran G, Fagher K. Bone health and cardiac transplantation. Best Practice & research clinical rheumatology 2022; 36(3):101770
  46. Yu TM, Li Lin C, Chang SN, Chan Sung F, Huan ST, Kao CH. Osteoporosis and fractures after solid organ transplantation: a nationwide population-based cohort study. Mayo Clin Prac 2014; 89:888-95
  47. Caffarelli C, Tomai Pitinca MD, Alessandri M, Crameli P, Bargagli F, Bennet E, Fossi a, Bernazzali s, Gonnelli S. Timing of osteoporosis vertebral fractures in lung and heart transplantation: a longitudinal study. J Clin Med 2020; 9(9):2941.
  48. Buckley L, Humphrey MB. Glucocorticoid induced osteoporosis. Engl J Med 2018; 379:2547-56
  49. 49. Ohnaka K, Tanabe M, Kawate H, Nawata H, Takayanagi R Glucocorticoid suppresses the canonical Wnt signal in cultured human osteoblasts. Biochem Biophys Res Commun. 2005; 329:177-81.
  50. Hayashi K, Yamaguchi T, Yano S, Kanazawa I, Yamauchi M, Yamamoto M, Sugimoto T. BMP/Wnt antagonists are upregulated by dexamethasone in osteoblasts and reversed by alendronate and PTH: potential therapeutic targets for glucocorticoid-induced osteoporosis. Biochem Biophys Res Commun 2009; 379:261–266.
  51. Mazziotti G, Formenti AM, Adler RA, Bilezikian JP, Grossman A, Sbardella E, Minisola S, Giustina A Glucocorticoid-induced osteoporosis: pathophysiological role of GH/IGF-I and PTH/VITAMIN D axes, treatment options and guidelines. Endocrine 2016; 54:603–611. 
  52. Takuma A, Kaneda T, Sato T, Ninomiya S, Kumegawa M, Hakeda Y Dexamethasone enhances osteoclast formation synergistically with transforming growth factor-beta by stimulating the priming of osteoclast progenitors for differentiation into osteoclasts. J Biol Chem 2003; 278:44667–44674.
  53. Meng Chen B, Fua W, Xub H, Chuan-Ju Liua, C.  Pathogenic mechanisms of glucocorticoid-induced osteoporosis Cytokine Growth Factor Rev. 2023; 70: 54–66
  54. Epstein S. Postransplantation bone disease: the role of immunosuppressive agents and the skeleton. J Bone Miner Res 1996; 11:1-7
  55. Goffin E, Devogelaer JP, Depresseux G, Squiflflet JP, Pirson Y. Osteoporosis after organ transplantation. Lancet. 2001;357(9268):1623.
  56. SchoslbergM, Movsowitz C, Epstein S, Ismail F, Fallon MD, Thomas S. The effect of cyclosporin A administration and its withdrawal on bone mineral metabolism in the Rat- Endocrinology 1989; 124:2179-2184
  57. Orcel P, Bielakoff J, Modrowski D, Miravet L, de Vernejoul MC. Cyclosporin A induces in vivo inhibition of resorption and stimulation of formation in rt bone. J Bone Miner Res 1989; 4:387-91
  58. Kanda J, Izumo N, Furukawa M, Shimakura T, Yamamoto N, Takahashi E, Asakura T, Wakabayashi H. Effects of calcineurin inhibitors cyclosporine and tacrolimus on bone metabolism in rats. Biomedical Research (Tokyo) 2018; 31:131-139
  59. Movsowitz C, Epstein M, Fallon M, Ismail f, Thomas S. Cyclosporin A in vivo produces severe osteopenia in the rat: effect of dose and duration of administration. Endocrinology 1988; 123:2571-7
  60. Ponticelli V, Aroldi A. Osteoporosis after organ transplantation. The Lancet 2001; 357:1623-24.
  61. Guichelar MM, Schmoll J, Malinchoc M, Hay JE: Fractures and avascular necrosis before and after orthotopic liver transplantation: long-term follow-up and predictive factors. Hepatology 2007; 46:1198-207
  62. Monegal A, Navasa M, Guañabens N, Peris P, Pons F, Martinez de Osaba MJ, Rimola MI, Rodes A, Muñoz Gomez J.  Bone mass and mineral metabolism inn liver transplant patients treated with FK506 or cyclosporine A. Calcif Tissue Int 2001; 68:83-86
  63. Campistol JM, Holt DW, Epstein S. Bone metabolism in renal transplant patients treated with cyclosporine or sirolimus. Transplant Int 2005; 18:1028-35
  64. Blaslov K, Katalinic L, Kes P, Spasovki G, Smalcelj R, Basic Jukic N. What is the impact of immunosuppressive treatment on the post-transplant renal osteopathy. Int Urol Nephrol 2014; 46:1019-24
  65. Kelly PA, Gruber SA, Belbod F, Kahan BD. Sirolimus a new potent immunosuppressive agent. Pharmacotherapy 1997; 17:1148-56
  66. Westenfeld T, Schlieper G, Woltje M, Gawilk A, Bandenburg V, Rutkowski P, Floege J, Jahnen-Decjemt W, Ketteler M. Impact of sirolimus, tacrolimus and mycophenolate mofetil on osteoclastogenesis -implications for post-transplantation bone disease. Nephrol Dial Transplant 2011:26:4115-23
  67. Bouquegneau A, Salam S, Delanaye P, Eastell R, Khwaja A. Bone disease after kidney transplantation. Clin J Am Soc Nephrol 2016; 11:1282-96
  68. Stein EM, Shane E. Vitamin D in organ transplantation. Osteoporos Int 2011; 22:2107-2118
  69. Edwards, M.; Jameson, K.; Denison, H.; Harvey, N.; Sayer, A.A.; Dennison, E.; Cooper, C. Clinical risk factors, bone density and fall history in the prediction of incident fracture among men and women. Bone 2013, 52, 541–547.
  70. Arceo-Mendoza RM, Camacho PM. Postmenopausal Osteoporosis: Latest Guidelines. Endocrinol Metab Clin North Am. 2021;50(2):167-178.
  71. Jørgensen HS, Winther S, Bøttcher M, Hauge EM, Rejnmark L, Svensson M, Ivarsen P. Bone turnover markers are associated with bone density, but not with fracture in end stage kidney disease: a cross-sectional study. BMC Nephrol. 2017;6;18(1):284.
  72. Gerdhem P. Osteoporosis and fragility fractures: Vertebral fractures. Best Pract Res Clin Rheumatol. 2013;27(6):743-55.
  73. Lakey WC, Spratt S, Vinson EN, Gesty-Palmer D, Weber T, Palmer S. Osteoporosis in lung transplant candidates compared to matched healthy controls. Clin Transplant. 2011; 25(3):426-35
  74. West, C.E. Lok, L. Langsetmo, A.M. Cheung, E. Szabo, D. Pearce, M. Fusaro, R. Wald, J. Weinstein, S.A. Jamal, Bone mineral density predicts fractures in chronic kidney disease, J. Bone Miner. Res. 30 (5) (2015) 913–919.
  75. Kanis, J.A. Assessment of Osteoporosis at the Primary Health Care Level; World Health Organization Collaborating Centre for Metabolic Bone Diseases, University of Sheffield: Sheffield, UK, 2007; Volume 339, pp. 11224
  76. Whitlock RH, Leslie WD, Shaw J, Rigatto C, Thorlacius L, Komenda P, Collister D, Kanis JA, Tangri N. The Fracture Risk Assessment Tool (FRAX®) predicts fracture risk in patients with chronic kidney disease. Kidney Int. 2019;95(2):447-454.
  77. Pothuaud L, Barthe N, Krieg MA, Mehsen N, Carceller P, Hans D. Evaluation of the potential use of trabecular bone score to complement bone mineral density in the diagnosis of osteoporosis: a preliminary spine BMD–matched, case-control study. J Clin Densitom. 2009;12(2):170–176.
  78. Shevroja E, Lamy O, Hans D. Review on the Utility of Trabecular Bone Score, a Surrogate of Bone Micro-architecture, in the Chronic Kidney Disease Spectrum and in Kidney Transplant Recipients. Front Endocrinol (Lausanne). 2018; 24; 9:561
  79. Stein EM, Ortiz D, Jin Z, McMahon DJ, Shane E. Prevention of fractures after solid organ transplantation: a meta-analysis. J Clin Endocrinol Metab. 2011;96(11):3457-65
  80. Ho OTW, Ng WCA, Ow ZGW, Ho YJ, Lim WH, Yong JN, Wang RS, Wong KL, Ng CH, Muthiah MD, Teo CM. Bisphosphonate therapy after liver transplant improves bone mineral density and reduces fracture rates: an updated systematic review and meta-analysis. Transpl Int. 2021;34(8):1386-1396.
  81. Martin P, DiMartini A, Feng S, Brown R, Fallon M. Evaluation for liver transplantation in adults: 2013 practice guideline by the American Association for the Study of Liver Diseases and the American Society of Transplantation. Hepatology. 2014 ;59(3):1144-65.
  82. Kidney Disease: Improving Global Outcomes (KDIGO) CKD-MBD Update Work Group. KDIGO 2017 Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Kidney Int Suppl. 2017; 7:1-59.
  83. Mainra R, Elder GJ. Individualized therapy to prevent bone mineral density loss after kidney and kidney-pancreas transplantation. Clin J Am Soc Nephrol. 2010;5(1):117-24.
  84. Anastasilakis AD, Tsourdi E, Makras P, Polyzos SA, Meier C, McCloskey EV, Pepe J, Zillikens MC. Bone disease following solid organ transplantation: A narrative review and recommendations for management from The European Calcified Tissue Society. Bone. 2019; 127:401-418.
  85. Wissing KM, Broeders N, Moreno-Reyes R, Gervy C, Stallenberg B, Abramowicz D. A controlled study of vitamin D3 to prevent bone loss in renal-transplant patients receiving low doses of steroids. Transplantation. 2005;15:79(1):108-15.
  86. Tsujita M, Doi Y, Obi Y, Hamano T, Tomosugi T, Futamura K, Okada M, Hiramitsu T, Goto N, Isaka Y, Takeda A, Narumi S, Watarai Y. Cholecalciferol Supplementation Attenuates Bone Loss in Incident Kidney Transplant Recipients: A Prespecified Secondary Endpoint Analysis of a Randomized Controlled Trial. J Bone Miner Res. 2022; 37(2):303-311.
  87. Palmer SC, Chung EY, McGregor DO, Bachmann F, Strippoli GF. Interventions for preventing bone disease in kidney transplant recipients. Cochrane Database Syst Rev. 2019 Oct 22;10(10): CD005015.
  88. Shane E, Addesso V, Namerow PB, McMahon DJ, Lo SH, Staron RB, Zucker M, Pardi S, Maybaum S, Mancini D. Alendronate versus calcitriol for the prevention of bone loss after cardiac transplantation N Engl J Med 2004; 350:767-776
  89. Trillini M, Cortinovis M, Ruggenenti P, Reyes Loaeza J, Courville K, Ferrer-Siles C, Prandini S, Gaspari F, Cannata A, Villa A, Perna A, Gotti E, Caruso MR, Martinetti D, Remuzzi G, Perico N. Paricalcitol for secondary hyperparathyroidism in renal transplantation. J Am Soc Nephrol. 2015; 26(5):1205-14.
  90. Stein EM, Ortiz D, Jin Z, McMahon DJ, Shane E. Prevention of fractures after solid organ transplantation: a meta-analysis. J Clin Endocrinol Metab. 2011; 96(11):3457-65.
  91. Valero MA; Loinaz C, Larrodera L, Leon M, Moreno E, Hawkins F. Calcitonin and bisphosphonates treatment in bone loss after liver transplantation. Calcif Tissue 1995; 57:15-19
  92. Gilfraguas L, Guadalix s, Martinez g, Jodar E, Vara J, Gomez Sanchez A, Delgado J, De La Cruz J, Lora d, Hawkins F. Bone loss after heart transplant: effect of alendronate, etidronate, calcitonin and calcium plus vitamin D3. Progress in Transplantation 2012; 22; 237-243
  93. Hauck D, Nery L, O'Connell R, Clifton-Bligh R, Mather A, Girgis CM. Bisphosphonates and bone mineral density in patients with end-stage kidney disease and renal transplants: A 15-year single-centre experience. Bone Rep. 2022; 16:101178.
  94. Torregrosa JV, Fuster d, Gentil MA, Marcen R, Guirado L, Zarraga S, Bravo J, Burgos d, Monegal A, Muxi A, Garcia S. Open-label trial: effect of weekly risedronate immediately after transplantation in kidney recipients. Transplantation 2010; 89:1476-81
  95. Guadalix S, Martinez G, Lora D, Vargas C, Gomez M, Cobaleda B, Moreno e, Hawkins F. Effects of early risedronate treatment on bone mineral density and bone turnover markers after liver transplantation: a prospective single-center study. Transplantation International 2011;24: 657-665
  96. Shane E, Cohen A, Stein EM, McMahon DJ, Zhang C, Young P, Pandit K, Staron RB, Verna EC, Brown R, Restaino S, Mancini D. Zoledronic acid versus alendronate for the prevention of bone loss after heart or liver transplantation. J Clin Endocrinol Metab. 2012; 97(12):4481-90.
  97. Ho OTW, Ng WCA, Ow ZGW, Ho YJ, Lim WH, Yong JN, Wang RS, Wong KL, Ng CH, Muthiah MD, Teo CM. Bisphosphonate therapy after liver transplant improves bone mineral density and reduces fracture rates: an updated systematic review and meta-analysis. Transpl Int. 2021; 34(8):1386-1396 
  98. Watts N, Freedholm D, Daifotis A. The clinical tolerability profile of alendronate. Int J Clin Pract Suppl. 1999; 101:51-61.
  99. Fobelo Lozano MJ, Sánchez-Fidalgo S. Adherence and preference of intravenous zoledronic acid for osteoporosis versus other bisphosphonates. Eur J Hosp Pharm. 2019;26(1):4-9.
  100. 99. Bone HG, Wagman RB, Brandi ML, Brown JP, Chapurlat R, Cummings SR, Czerwiński E, Fahrleitner-Pammer A, Kendler DL, Lippuner K, Reginster JY, Roux C, Malouf J, Bradley MN, Daizadeh NS, Wang A, Dakin P, Pannacciulli N, Dempster DW, Papapoulos S. 10 years of denosumab treatment in postmenopausal women with osteoporosis: results from the phase 3 randomized FREEDOM trial and open-label extension. Lancet Diabetes Endocrinol. 2017; 5(7):513-523.
  101. 100. Bonani M, Frey D, Brockmann J, Fehr T, Mueller TF, Saleh L, von Eckardstein A, Graf N, Wüthrich RP. Effect of Twice-Yearly Denosumab on Prevention of Bone Mineral Density Loss in De Novo Kidney Transplant Recipients: A Randomized Controlled Trial. Am J Transplant. 2016; 16(6):1882-91
  102. 101. Alfieri C, Binda V, Malvica S, Cresseri D, Campise M, Gandolfo MT, Regalia A, Mattinzoli D, Armelloni S, Favi E, Molinari P, Messa P. Bone Effect and Safety of One-Year Denosumab Therapy in a Cohort of Renal Transplanted Patients: An Observational Monocentric Study. J Clin Med. 2021; 10(9):1989.
  103. Bonani M, Meyer U, Frey D, Graf N, Bischoff-Ferrari HA, Wüthrich RP. Effect of Denosumab on Peripheral Compartmental Bone Density, Microarchitecture and Estimated Bone Strength in De Novo Kidney Transplant Recipients. Kidney Blood Press Res. 2016;41(5):614-622.
  104. Brunova J, Kratochvilova S, Stepankova J. Osteoporosis Therapy with Denosumab in Organ Transplant Recipients. Front Endocrinol (Lausanne). 2018; 9:162
  105. Fassio A, Andreola S, Gatti D, Pollastri F, Gatti M, Fabbrini P, Gambaro G, Ferraro PM, Caletti C, Rossini M, Viapiana O, Bixio R, Adami G. Long-Term Bone Mineral Density Changes in Kidney Transplant Recipients Treated with Denosumab: A Retrospective Study with Nonequivalent Control Group. Calcif Tissue Int. 2024 ;115(1):23-30
  106. McKee H, Ioannidis G, Lau A, Treleaven D, Gangji A, Ribic C, Wong-Pack M, Papaioannou A, Adachi JD. Comparison of the clinical effectiveness and safety between the use of denosumab vs bisphosphonates in renal transplant patients. Osteoporos Int. 2020; 31(5):973-980.
  107. Teh JW, Mac Gearailt C, Lappin DWP. Post-Transplant Bone Disease in Kidney Transplant Recipients: Diagnosis and Management. Int J Mol Sci. 2024;25(3):1859.
  108. Jamal SA, Ljunggren O, Stehman-Breen C, Cummings SR, McClung MR, Goemaere S, Ebeling PR, Franek E, Yang YC, Egbuna OI, Boonen S, Miller PD. Effects of denosumab on fracture and bone mineral density by level of kidney function. J Bone Miner Res. 2011;26(8):1829-35
  109. Ebina K, Etani Y, Noguchi T, Nakata K, Okada S. Clinical effects of teriparatide, abaloparatide, and romosozumab in postmenopausal osteoporosis. J Bone Miner Metab. 2024. doi: 10.1007/s00774-024-01536-0. Epub ahead of print.
  110. Cejka D, Benesch T, Krestan C, Roschger P, Klaushofer K, Pietschmann P, Haas M. Effect of teriparatide on early bone loss after kidney transplantation. Am J Transplant. 2008;8(9):1864-70.
  111. Vetrano D, Aguanno F, Passaseo A, Barbuto S, Tondolo F, Catalano V, Zavatta G, Pagotto U, La Manna G, Cianciolo G. Efficacy and safety of teriparatide in kidney transplant recipients with osteoporosis and low bone turnover: a real-world experience. Int Urol Nephrol. 2025. doi: 10.1007/s11255-025-04383-8 Epub ahead of print.
  112. Qiu Z, Lin C, Zhang Y, Lin C, Deng J, Wu M. Analysis of the Efficacy and Safety of Teriparatide and Alendronate in the Treatment of Osteoporosis After Renal Transplantation. Iran J Kidney Dis. 2021;15(6):451-456.
  113. Bruyere O, Reginster JY. Monitoring osteoporosis therapy. Best Pract Res Clin Endocrinol Metabol. 2014; 28:835–841
  114. Ninkovic M, Skingle S, Beacroft PWP, Bishop N, Alexander GJM, Compston JE. Incidence of vertebral fracture in the first three months after orthotopic liver transplantation. Eur J Gastroenterol Hepato 2000; 12:931-4
  115. Atsumi K, Kushida K, Yamazaki K, Shimisu S, Ohmura A, Inoue T. Risk factors for vertebral fractures in renal osteodystrophy. Am J Kidney Dis 1999; 33:287-93
  116. Alem AM, Sherrard DJ, Gillen DL, Weiss NS, Beresford SA, Heckbert SR, Wong C, Stehman-Breen C. Increase risk of fractures among patients with end stage renal disease. Kidney In t2000; 58(1):396-9
  117. Majumdar SR, Ezekowitz JA, Lix LM, Leslie WD. Heart failure is a clinical and densitometrically independent and novel risk factor for major osteoporotic fractures: Population-based cohort study of 45.000 subjects. J Clin Endocrinol Metab2012; 87:1179-86
  118. Monegal A, M. Navasa M, Guanabens N, Peris P, Pons F, Martinez de Osaba MJ, Ordi J, Rimola A, Rodes J and Munoz-Gomez J. Bone Disease After Liver Transplantation: A Long-Term Prospective Study of Bone Mass Changes, Hormonal Status and Histomorphometric Characteristics.Osteoporos Int (2001) 12:484–
  119. Cohen A, Sambrook P, Shane E. Management of bone loss after organ transplantation 2004; J Bone miner Rese19:1919-32
  120. Wang TK, O'Sullivan S, Gamble GD, Ruygrok, PN. Bone density in heart or lung transplant recipients’ longitudinal study. Transplant Proc 2013; 45(6):2357-65.
  121. Spira A, Gutiérrez C, Chaparro C, Hutcheon MA, Chan CK. Osteoporosis and lung transplantation: a prospective study. Chest 2000; 117:476-81
  122. Gong-bin Lan, Xu-biao Xie, Long-kai Peng, Lei Liu, Lei Song, He-long Dai. Current status of research on osteoporosis after solid organ transplantation: Pathogenesis and Management. Biomed Res Int 2015:413169.
  123. Muchmore JS, Cooper DK, Ye Y, Schlegel VT, Zuhdi N. Loss of vertebral bone density in heart transplant patients. Transplantation Proc. 1991 ;23(1 Pt 2):1184-5.
  124. Carbonare LD, Zanatta M, Braga V, Sella S, Vilei MT, Giuseppe, Gambino FA, Pepe I, Rossini M, Adami S, Giannini S. Densitometric threshold and vertebral fractures in heart transplant patients. Transplantation 2011; 92:106-111
  125. Graat-Verboom L, Wouters EFM, Smeenk FWJM, van den Borne BEE, Lunde R, Spruit MA. Current Status of research on osteoporosis in COPD: a systematic review. Eur Respir J  2009 Jul;34(1):209-18
  126. Ferrari SL, Rizzoli SR, Nicod L. Osteoporosis in patients undergoing lung transplantation. Eur Respir J 1996; 9:2378-82
  127. Harriman A, Alex C, Heroux A, Camacho P. Incidence of fractures after cardiac and lung transplantation: a single center experience. Journal of Osteoporosis 2014; 2014:2014:573041
  128. Van Laecke S, Van Biesen W. Hipomagnesaemia in kidney transplantation. Transplantation Reviews 2015; 29:154-150
  129. Kendler DL, Body JJ, Brandi ML, Broady r, Cannat-Andia J, Maghraoui EI, Guglielmi G, Hadji P, Pierroz DD, Viller TJ, Ebeling PR; Rizzoli R, for the International Osteoporosis Foundation Committee of Scientific Advisors Working Group on Cancer and Bone Disease. Osteoporosis management in hematologic stem cell transplant recipients: Executive summary.Journal of Bone Oncology 2021; 28:100361
  130. LeBoff MS,Greenspan, SL, Insogna KL, Lewiecki EM,  Saag KG, Singer AJ, Siris ES . Consensus Statement. The clinician’s guide to prevention and treatment of osteoporosis. Osteoporosis International 2022: 33:2049–2102