High prevalence of the metabolic syndrome in HIV-infected patients: impact of different definitions of the metabolic syndrome.

INTRODUCTION: This study describes the characteristics of the metabolic syndrome in HIV-positive patients in the Data Collection on Adverse Events of Anti-HIV Drugs study and discusses the impact of different methodological approaches on estimates of the prevalence of metabolic syndrome over time. METHODS: We described the prevalence of the metabolic syndrome in patients under follow-up at the end of six calendar periods from 2000 to 2007. The definition that was used for the metabolic syndrome was modified to take account of the use of lipid-lowering and antihypertensive medication, measurement variability and missing values, and assessed the impact of these modifications on the estimated prevalence. RESULTS: For all definitions considered, there was an increasing prevalence of the metabolic syndrome over time, although the prevalence estimates themselves varied widely. Using our primary definition, we found an increase in prevalence from 19.4% in 2000/2001 to 41.6% in 2006/2007. Modification of the definition to incorporate antihypertensive and lipid-lowering medication had relatively little impact on the prevalence estimates, as did modification to allow for missing data. In contrast, modification to allow the metabolic syndrome to be reversible and to allow for measurement variability lowered prevalence estimates substantially. DISCUSSION: The prevalence of the metabolic syndrome in cohort studies is largely based on the use of nonstandardized measurements as they are captured in daily clinical care. As a result, bias is easily introduced, particularly when measurements are both highly variable and may be missing. We suggest that the prevalence of the metabolic syndrome in cohort studies should be based on two consecutive measurements of the laboratory components in the syndrome definition.

Hierarchical modeling gave plausible estimates of associations between metabolic syndrome and components of antiretroviral therapy.

OBJECTIVE: Hierarchical modeling has been proposed as a solution to the multiple exposure problem. We estimate associations between metabolic syndrome and different components of antiretroviral therapy using both conventional and hierarchical models. STUDY DESIGN AND SETTING: We use discrete time survival analysis to estimate the association between metabolic syndrome and cumulative exposure to 16 antiretrovirals from four drug classes. We fit a hierarchical model where the drug class provides a prior model of the association between metabolic syndrome and exposure to each antiretroviral. RESULTS: One thousand two hundred and eighteen patients were followed for a median of 27 months, with 242 cases of metabolic syndrome (20%) at a rate of 7.5 cases per 100 patient years. Metabolic syndrome was more likely to develop in patients exposed to stavudine, but was less likely to develop in those exposed to atazanavir. The estimate for exposure to atazanavir increased from hazard ratio of 0.06 per 6 months' use in the conventional model to 0.37 in the hierarchical model (or from 0.57 to 0.81 when using spline-based covariate adjustment). CONCLUSION: These results are consistent with trials that show the disadvantage of stavudine and advantage of atazanavir relative to other drugs in their respective classes. The hierarchical model gave more plausible results than the equivalent conventional model.

Neuroendocrine deregulation of food intake, adipose tissue and the gastrointestinal system in obesity and metabolic syndrome.

Obesity is an excess of fat mass. Fat mass is an energy depot but also an endocrine organ. A deregulation of the sympathetic nervous system (SNS) might produce obesity. Stress exaggerates diet-induced obesity. After stress, SNS fibers release neuropeptide Y (NPY) which directly increases visceral fat mass producing a metabolic syndrome (MbS)-like phenotype. Adrenergic receptors are the main regulators of lipolysis. In severe obesity, we demonstrated that the adrenergic receptor subtypes are differentially expressed in different fat depots. Liver and visceral fat share a common sympathetic pathway, which might explain the low-grade inflammation which simultaneously occurs in liver and fat of the obese with MbS. The neuroendocrine melanocortinergic system and gastric ghrelin are also greatly deregulated in obesity. A specific mutation in the type 4 melanocortin receptor induces early obesity onset, hyperphagia and insulin-resistance. Nonetheless, it was recently discovered that a mutation in the prohormone convertase 1/3 simultaneously produces severe gastrointestinal dysfunctions and obesity.

High risk for hyperlipidemia and the metabolic syndrome after an episode of hypertriglyceridemia during 13-cis retinoic acid therapy for acne: a pharmacogenetic study.

BACKGROUND: Administration of 13-cis retinoic acid (isotretinoin) for acne is occasionally accompanied by hyperlipidemia. It is not known why some persons develop this side effect. OBJECTIVE: To determine whether isotretinoin triggers a familial susceptibility to hyperlipidemia and the metabolic syndrome. DESIGN: Cross-sectional comparison. SETTING: University hospital in Lausanne, Switzerland. PARTICIPANTS: 102 persons in whom triglyceride levels increased at least 1.0 mmol/L (> or =89 mg/dL) (hyperresponders) and 100 persons in whom triglyceride levels changed 0.1 mmol/L (< or =9 mg/dL) or less (nonresponders) during isotretinoin therapy for acne. Parents of 71 hyperresponders and 60 nonresponders were also evaluated. MEASUREMENTS: Waist-to-hip ratio; fasting glucose, insulin, and lipid levels; and apoE genotype. RESULTS: Hyperresponders and nonresponders had similar pretreatment body weight and plasma lipid levels. When reevaluated approximately 4 years after completion of isotretinoin therapy, hyperresponders were more likely to have hypertriglyceridemia (triglyceride level > 2.0 mmol/L [>177 mg/dL]; odds ratio [OR], 4.8 [95% CI, 1.6 to 13.8]), hypercholesterolemia (cholesterol level > 6.5 mmol/L [>252 mg/dL]; OR, 9.1 [CI, 1.9 to 43]), truncal obesity (waist-to-hip ratio > 0.90 [OR, 11.0 (CI, 2.0 to 59]), and hyperinsulinemia (insulin-glucose ratio > 7.2; OR, 3.0 [CI, 1.6 to 5.7]). In addition, more hyperresponders had at least one parent with hypertriglyceridemia (OR, 2.6 [CI, 1.2 to 5.7]) or a ratio of total to high-density lipoprotein cholesterol that exceeded 4.0 (OR, 3.5 [CI, 1.5 to 8.0]). Lipid response to isotretinoin was closely associated with the apoE gene. CONCLUSION: Persons who develop hypertriglyceridemia during isotretinoin therapy for acne, as well as their parents, are at increased risk for future hyperlipidemia and the metabolic syndrome.

The metabolic syndrome in hypertension: European society of hypertension position statement.

The metabolic syndrome considerably increases the risk of cardiovascular and renal events in hypertension. It has been associated with a wide range of classical and new cardiovascular risk factors as well as with early signs of subclinical cardiovascular and renal damage. Obesity and insulin resistance, beside a constellation of independent factors, which include molecules of hepatic, vascular, and immunologic origin with proinflammatory properties, have been implicated in the pathogenesis. The close relationships among the different components of the syndrome and their associated disturbances make it difficult to understand what the underlying causes and consequences are. At each of these key points, insulin resistance and obesity/proinflammatory molecules, interaction of demographics, lifestyle, genetic factors, and environmental fetal programming results in the final phenotype. High prevalence of end-organ damage and poor prognosis has been demonstrated in a large number of cross-sectional and a few number of prospective studies. The objective of treatment is both to reduce the high risk of a cardiovascular or a renal event and to prevent the much greater chance that metabolic syndrome patients have to develop type 2 diabetes or hypertension. Treatment consists in the opposition to the underlying mechanisms of the metabolic syndrome, adopting lifestyle interventions that effectively reduce visceral obesity with or without the use of drugs that oppose the development of insulin resistance or body weight gain. Treatment of the individual components of the syndrome is also necessary. Concerning blood pressure control, it should be based on lifestyle changes, diet, and physical exercise, which allows for weight reduction and improves muscular blood flow. When antihypertensive drugs are necessary, angiotensin-converting enzyme inhibitors, angiotensin II-AT1 receptor blockers, or even calcium channel blockers are preferable over diuretics and classical beta-blockers in monotherapy, if no compelling indications are present for its use. If a combination of drugs is required, low-dose diuretics can be used. A combination of thiazide diuretics and beta-blockers should be avoided.

Metabolic syndrome and the risk of cardiovascular disease in older adults.

OBJECTIVES: The purpose of this study was to assess whether metabolic syndrome (MetSyn) predicts a higher risk for cardiovascular events in older adults. BACKGROUND: The importance of MetSyn as a risk factor has not previously focused on older adults and deserves further study. METHODS: We studied the impact of MetSyn (38% prevalence) on outcomes in 3,035 participants in the Health, Aging, and Body Composition (Health ABC) study (51% women, 42% black, ages 70 to 79 years). RESULTS: During a 6-year follow-up, there were 434 deaths overall, 472 coronary events (CE), 213 myocardial infarctions (MI), and 231 heart failure (HF) hospital stays; 59% of the subjects had at least one hospital stay. Coronary events, MI, HF, and overall hospital stays occurred significantly more in subjects with MetSyn (19.9% vs. 12.9% for CE, 9.1% vs. 5.7% for MI, 10.0% vs. 6.1% for HF, and 63.1% vs. 56.1% for overall hospital stay; all p < 0.001). No significant differences in overall mortality was seen; however, there was a trend toward higher cardiovascular mortality (5.1% vs. 3.8%, p = 0.067) and coronary mortality (4.5% vs. 3.2%, p = 0.051) in patients with MetSyn. After adjusting for baseline characteristics, patients with MetSyn were at a significantly higher risk for CE (hazard ratio [HR] 1.56, 95% confidence interval [CI] 1.28 to 1.91), MI (HR 1.51, 95% CI 1.12 to 2.05), and HF hospital stay (HR 1.49, 95% CI 1.10 to 2.00). Women and whites with MetSyn had a higher coronary mortality rate. The CE rate was higher among subjects with diabetes and with MetSyn; those with both had the highest risk. CONCLUSIONS: Overall, subjects over 70 years are at high risk for cardiovascular events; MetSyn in this group is associated with a significantly greater risk.

Body composition phenotypes in pathways to obesity and the metabolic syndrome.

Dynamic changes in body weight have long been recognized as important indicators of risk for debilitating diseases. While weight loss or impaired growth can lead to muscle wastage, as well as to susceptibility to infections and organ dysfunctions, the development of excess fat predisposes to type 2 diabetes and cardiovascular diseases, with insulin resistance as a central feature of the disease entities of the metabolic syndrome. Although widely used as the phenotypic expression of adiposity in population and gene-search studies, body mass index (BMI), that is, weight/height(2) (H(2)), which was developed as an operational definition for classifying both obesity and malnutrition, has considerable limitations in delineating fat mass (FM) from fat-free mass (FFM), in particular at the individual level. After an examination of these limitations within the constraints of the BMI-FM% relationship, this paper reviews recent advances in concepts about health risks related to body composition phenotypes, which center upon (i) the partitioning of BMI into an FM index (FM/H(2)) and an FFM index (FFM/H(2)), (ii) the partitioning of FFM into organ mass and skeletal muscle mass, (iii) the anatomical partitioning of FM into hazardous fat and protective fat and (iv) the interplay between adipose tissue expandability and ectopic fat deposition within or around organs/tissues that constitute the lean body mass. These concepts about body composition phenotypes and health risks are reviewed in the light of race/ethnic variability in metabolic susceptibility to obesity and the metabolic syndrome.

Sindrome metabolica e rischio di tumore mammario. [Metabolic syndrome and the risk of breast cancer].

Metabolic syndrome has been associated with an increased risk of various cancers. A multicenter study conducted in Italy and Switzerland on 3,869 cases of breast cancer in post-menopause reported a relative risk of 1.75 in women with the metabolic syndrome, confirming the results of other smaller epidemiological studies.

Iron metabolism and incidence of metabolic syndrome.

BACKGROUND AND AIMS: Whether iron metabolism affects metabolic syndrome (METS) is debated. We assessed the association between several markers of iron metabolism and incidence of METS. METHODS AND RESULTS: Data from 3271 participants (1870 women, 51.3 ± 10.4 years), free of METS at baseline and followed for 5.5 years. The association of serum iron, ferritin and transferrin with incident METS was assessed separately by gender. Incidence of METS was 22.6% in men and 16.5% in women (p < 0.001). After multivariate adjustment, a positive association was found between transferrin and incident METS in men: odds ratio (OR) and 95% confidence interval for the fourth relative to the first quartile 1.55 (1.04-2.31), p for trend = 0.03, while no association was found for iron OR = 0.81 (0.53-1.24), p for trend = 0.33 and ferritin OR = 1.30 (0.88-1.92), p for trend = 0.018. In women, a negative association was found between iron and incident METS: OR for the fourth relative to the first quartile 0.51 (0.33-0.80), p for trend<0.03; the association between transferrin and incident METS was borderline significant: OR = 1.45 (0.97-2.17), p for trend = 0.07 and no association was found for ferritin: OR = 1.11 (0.76-1.63), p for trend = 0.58. CONCLUSION: Transferrin, not ferritin, is independently associated with an increased risk of incident METS; the protective effect of iron in women should be further explored.

CRTC2 polymorphism as a risk factor for the incidence of metabolic syndrome in patients with solid organ transplantation.

NlmCategory="UNASSIGNED">Metabolic syndrome after transplantation is a major concern following solid organ transplantation (SOT). The CREB-regulated transcription co-activator 2 (CRTC2) regulates glucose metabolism. The effect of CRTC2 polymorphisms on new-onset diabetes after transplantation (NODAT) was investigated in a discovery sample of SOT recipients (n1=197). Positive results were tested for replication in two samples from the Swiss Transplant Cohort Study (STCS, n2=1294 and n3=759). Obesity and other metabolic traits were also tested. Associations with metabolic traits in population-based samples (n4=46'186, n5=123'865, n6>100,000) were finally analyzed. In the discovery sample, CRTC2 rs8450-AA genotype was associated with NODAT, fasting blood glucose and body mass index (Pcorrected<0.05). CRTC2 rs8450-AA genotype was associated with NODAT in the second STCS replication sample (odd ratio (OR)=2.01, P=0.04). In the combined STCS replication samples, the effect of rs8450-AA genotype on NODAT was observed in patients having received SOT from a deceased donor and treated with tacrolimus (n=395, OR=2.08, P=0.02) and in non-kidney transplant recipients (OR=2.09, P=0.02). Moreover, rs8450-AA genotype was associated with overweight or obesity (n=1215, OR=1.56, P=0.02), new-onset hyperlipidemia (n=1007, OR=1.76, P=0.007), and lower high-density lipoprotein-cholesterol (n=1214, β=-0.08, P=0.001). In the population-based samples, a proxy of rs8450G>A was significantly associated with several metabolic abnormalities. CRTC2 rs8450G>A appears to have an important role in the high prevalence of metabolic traits observed in patients with SOT. A weak association with metabolic traits was also observed in the population-based samples.The Pharmacogenomics Journal advance online publication, 8 December 2015; doi:10.1038/tpj.2015.82.

HDLs, diabetes, and metabolic syndrome.

The prevalence of type 2 diabetes mellitus and of the metabolic syndrome is rising worldwide and reaching epidemic proportions. These pathologies are associated with significant morbidity and mortality, in particular with an excess of cardiovascular deaths. Type 2 diabetes mellitus and the cluster of pathologies including insulin resistance, central obesity, high blood pressure, and hypertriglyceridemia that constitute the metabolic syndrome are associated with low levels of HDL cholesterol and the presence of dysfunctional HDLs. We here review the epidemiological evidence and the potential underlying mechanisms of this association. We first discuss the well-established association of type 2 diabetes mellitus and insulin resistance with alterations of lipid metabolism and how these alterations may lead to low levels of HDL cholesterol and the occurrence of dysfunctional HDLs. We then present and discuss the evidence showing that HDL modulates insulin sensitivity, insulin-independent glucose uptake, insulin secretion, and beta cell survival. A dysfunction in these actions could play a direct role in the pathogenesis of type 2 diabetes mellitus.

Markers of iron metabolism and metabolic syndrome in Swiss adults

Plusieurs études populationnelles ont montré l'existence d'une association entre des taux sanguins élevés de transferrine et le syndrome métabolique (SM). Bien que cette association soit bien établie, restent encore à être décrites les associations entre le SM et les autres marqueurs sanguins du métabolisme du fer, tels que le fer, la transferrine (Tsf), la capacité totale de fixation de la transferrine (CTF) ou la saturation de la transferrine (SaTsf) sanguins. Le but de notre étude a été d'identifier les associations entre les différents marqueurs du métabolisme du fer (fer, ferritine, Tsf, CTF et SaTsf) et le SM. Les données de l'étude CoLaus, récoltées entre 2003 et 2006, ont été utilisées. Le SM était défini selon les critères du National Cholesterol Education Program Adult Panel III. L'analyse statistique a été faite en stratifiant selon le genre ainsi que le status ménopausal chez les femmes. Des 6733 participants, 1235 (18%) ont été exclus de fait d'absence de données concernant les variables qui nous intéressaient, ou chez qui nous avons soupçonné une possible hémochromatose non diagnostiquée (SaTsf> 50%). Des 5498 participants restant (âge moyen ± écart-type: 53 ± 11 ans), 2596 étaient des hommes, 1285 des femmes pré- et 1617 des femmes postménopausées. La prévalence du SM était de 29,4% chez les hommes, 8,3% et 25,5% chez les femmes pré- et postménopausées, respectivement. Dans les trois groupes, la prévalence du SM était la plus haute dans les quartiles les plus élevés de ferritine, Tsf et CTF, ainsi que dans le quartile le plus bas de SaTsf. Après ajustement sur l'âge, l'indice de masse corporelle, la protéine C réactive, la consommation de tabac et/ou d'alcool, la prise de suppléments en fer et les marqueurs hépatiques, l'appartenance au quartile le plus élevé de ferritine, Tsf ou CTF était associée à un risque plus important de SM chez les hommes et les femmes postménopausées : Odds ratio (OR) et [intervalle de confiance à 95%] pour la ferritine 1.44 [1.07-1.94] et 1.47 [0.99-2.17]; pour la Tsf et la CTF, OR=1.43 [1.06-1.91] et 2.13 [1.44-3.15] pour les hommes et les femmes postménopausées, respectivement. Au contraire, l'appartenance au quartile le plus élevé de la SaTsf était associé à un risque moins important de SM: OR=0.77 [0.57-1.05] et 0.59 [0.39-0.90] pour les hommes et les femmes postménopausées, respectivement. Il n'y avait aucune association entre les marqueurs sanguins du métabolisme du fer et le SM chez les femmes préménopausées, ni entre le fer sanguin et le SM chez les trois groupes. En conclusion, la majorité des marqueurs sanguins du métabolisme du fer, mais pas le fer lui-même, sont associés de manière indépendante au SM chez les hommes et les femmes postménopausées. -- Context: Excessive iron storage has been associated with metabolic syndrome (MS). Objective: To assess the association between markers of iron metabolism and MS in a healthy population. Design: Cross-sectional study conducted between 2003 and 2006. Setting: Population-based study in Lausanne, Switzerland. Patients: 5,498 participants aged 35-75 years, stratified by sex and menopausal status. Participants with transferrin saturation (TSAT) >50% were excluded. Intervention: None. Main Outcome Measures: serum iron, ferritin, transferrin, total iron binding capacity (TIBC) and TSAT. MS was defined according to ATP-III criteria. Results: Prevalence of MS was 29.4% in men, 8.3% in premenopausal and 25.5% in postmenopausal women. On bivariate analysis, the highest prevalence of MS occurred in the highest quartiles of serum ferritin, transferrin and TIBC, and in the lowest quartile of TSAT. After multivariate adjustment for age, body mass index, C-reactive protein, smoking, alcohol, liver markers and iron supplementation, men and postmenopausal women in the highest quartile of serum ferritin, transferrin and TIBC had a higher risk of presenting with MS: for ferritin, Odds ratio and [95% CI]=1.44 [1.07-1.94] for men and 1.47 [0.99-2.17] for postmenopausal women; for transferrin and TIBC, OR=1.43 [1.06-1.91] and 2.13 [1.44-3.15], Participants in the highest quartile of TSAT had a lower risk of MS: OR=0.77 [0.57-1.05] for men and 0.59 [0.39-0.90] for postmenopausal women. No association was found between iron and MS and between markers of iron metabolism and MS in premenopausal women. Conclusion: Ferritin, transferrin, TIBC are positively and TSAT is negatively associated with MS in men and postmenopausal women.

Metabolic syndrome and nonalcoholic fatty liver disease: Is insulin resistance the link?

Metabolic syndrome (MetS) is a disease composed of different risk factors such as obesity, type 2 diabetes or dyslipidemia. The prevalence of this syndrome is increasing worldwide in parallel with the rise in obesity. Nonalcoholic fatty liver disease (NAFLD) is now the most frequent chronic liver disease in western countries, affecting more than 30% of the general population. NAFLD encompasses a spectrum of liver manifestations ranging from simple steatosis to nonalcoholic steatohepatitis (NASH), fibrosis and cirrhosis, which may ultimately progress to hepatocellular carcinoma. There is accumulating evidence supporting an association between NAFLD and MetS. Indeed, NAFLD is recognized as the liver manifestation of MetS. Insulin resistance is increasingly recognized as a key factor linking MetS and NAFLD. Insulin resistance is associated with excessive fat accumulation in ectopic tissues, such as the liver, and increased circulating free fatty acids, which can further promote inflammation and endoplasmic reticulum stress. This in turn aggravates and maintains the insulin resistant state, constituting a vicious cycle. Importantly, evidence shows that most of the patients developing NAFLD present at least one of the MetS traits. This review will define MetS and NAFLD, provide an overview of the common pathophysiological mechanisms linking MetS and NAFLD, and give a perspective regarding treatment of these ever growing metabolic diseases.

AMP-activated protein kinase mediates glucocorticoid-induced metabolic changes: a novel mechanism in Cushing's syndrome.

Chronic exposure to glucocorticoid hormones, resulting from either drug treatment or Cushing's syndrome, results in insulin resistance, central obesity, and symptoms similar to the metabolic syndrome. We hypothesized that the major metabolic effects of corticosteroids are mediated by changes in the key metabolic enzyme adenosine monophosphate-activated protein kinase (AMPK) activity. Activation of AMPK is known to stimulate appetite in the hypothalamus and stimulate catabolic processes in the periphery. We assessed AMPK activity and the expression of several metabolic enzymes in the hypothalamus, liver, adipose tissue, and heart of a rat glucocorticoid-excess model as well as in in vitro studies using primary human adipose and primary rat hypothalamic cell cultures, and a human hepatoma cell line treated with dexamethasone and metformin. Glucocorticoid treatment inhibited AMPK activity in rat adipose tissue and heart, while stimulating it in the liver and hypothalamus. Similar data were observed in vitro in the primary adipose and hypothalamic cells and in the liver cell line. Metformin, a known AMPK regulator, prevented the corticosteroid-induced effects on AMPK in human adipocytes and rat hypothalamic neurons. Our data suggest that glucocorticoid-induced changes in AMPK constitute a novel mechanism that could explain the increase in appetite, the deposition of lipids in visceral adipose and hepatic tissue, as well as the cardiac changes that are all characteristic of glucocorticoid excess. Our data suggest that metformin treatment could be effective in preventing the metabolic complications of chronic glucocorticoid excess.

Endocrine disruptors: from endocrine to metabolic disruption.

Synthetic chemicals currently used in a variety of industrial and agricultural applications are leading to widespread contamination of the environment. Even though the intended uses of pesticides, plasticizers, antimicrobials, and flame retardants are beneficial, effects on human health are a global concern. These so-called endocrine-disrupting chemicals (EDCs) can disrupt hormonal balance and result in developmental and reproductive abnormalities. New in vitro, in vivo, and epidemiological studies link human EDC exposure with obesity, metabolic syndrome, and type 2 diabetes. Here we review the main chemical compounds that may contribute to metabolic disruption. We then present their demonstrated or suggested mechanisms of action with respect to nuclear receptor signaling. Finally, we discuss the difficulties of fairly assessing the risks linked to EDC exposure, including developmental exposure, problems of high- and low-dose exposure, and the complexity of current chemical environments.