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Query: UMLS:C0948265 (metabolic syndrome)
 24,271 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The association between type A behavior and a cluster of parameters of the metabolic syndrome was studied in 919 randomly selected healthy young adults. Type A behavior was measured using the Type A Behavior Questionnaire for the Finnish Multicenter Study and the Hunter Wolf A-B Rating Scale. The results showed that type A men scored higher on the "Metabolic Syndrome Precursors Factor," representing a metabolic entity, than did non-type A men. In addition, type A behavior had a moderating effect on the relationship between parameters of the metabolic syndrome, that is, interdependence of these somatic factors was stronger in type A men than in non-type A men. These findings were not true of women. It is discussed whether type A behavior might affect bodily functions through increased activity along the pituitary-adrenal system resulting in insulin resistance, compensatory hyperinsulinemia, and other characteristics of the metabolic syndrome.
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PMID:Type A behavior and metabolic syndrome precursors in young adults. 867 82

Syndromes of risk factor disturbance may contribute to the development of coronary heart disease and non-insulin-dependent diabetes mellitus, but their definition and quantification remain problematic. Using factor analysis, constellations of risk factor variables that could indicate distinct syndromes of metabolic disturbance were explored in the baseline data of the first follow-up cohort of 742 men from the Heart Disease and Diabetes Risk Indicators in a Screened Cohort (HDDRISC) study. The primary analysis considered 16 intercorrelated variables measured in more than 90% of cohort participants. A missing-values estimation routine was used to ensure inclusion of all participants in the analysis. Subanalyses were undertaken, including a repeat of the primary analysis on the 522 individuals who had received measurement of HDL cholesterol, an oblique rather than orthogonal factor rotation procedure performed on primary and HDL subset analyses, a repeat of these two primary and HDL subset analyses using only those participants with complete measurements, and a repeat of these six analyses including only the seven variables conventionally associated with the metabolic syndrome. The principal factor that emerged in all analyses undertaken comprised oral glucose tolerance test insulin and glucose response, serum uric acid, and body mass index. Fasting serum triglyceride concentration was included in this factor in 11 of the 12 analyses undertaken, fasting plasma insulin in 8, fasting plasma glucose in 5, and mean arterial pressure in 3. HDL cholesterol factored in isolation from insulin in all analyses undertaken. These findings provide strong support for a core metabolic cluster, which is unlikely to include blood pressure and does not include HDL. The factor scores relating to this cluster will provide a means of assessing its quantitative importance in prospective analysis of the development of CHD and diabetes in this cohort.
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PMID:Factors of the metabolic syndrome: baseline interrelationships in the first follow-up cohort of the HDDRISC Study (HDDRISC-1). Heart Disease and Diabetes Risk Indicators in a Screened Cohort. 948 85

Insulin resistance is a common metabolic disorder. It plays an important role in the metabolic syndrome (or syndrome X), type 2 diabetes, obesity and in the lipodystrophic syndromes recently described, associated with treatments of HIV disease and represent a worrying cardiovascular risk. However, its pathophysiology remains poorly understood in these situations. Syndromes of major insulin resistance, although rare, allow investigations of the mechanisms leading to alterations in the insulin transduction pathways. Mutations of the insulin receptor gene have been discovered in rare patients. Therefore alterations at the post-receptor level are probably causative in other cases. Furthermore, the role of body fat repartition seems determinant in the apparition of insulin resistance, as attested by the clinical characteristics of lipodystrophies, either congenital or acquired. The two lipodystrophic syndromes which molecular defect is identified are the familial partial lipodystrophy of the Dunnigan type, due to mutations of the lamin A/C gene, and the congenital generalized lipodystrophy, linked to alterations in the protein seipin. However, their physiopathology remains mysterious. Lamin A/C is indeed an ubiquitous nuclear protein, which is also mutated in a genetic squelettic and/or cardiac myopathy, and seipin is a protein of unknown function mainly expressed in brain. Progresses in the understanding of these syndromes, in particular lipodystrophies which can be considered as caricatural models of the metabolic syndrome, will probably allow to clarify the physiopathology of the more common forms of insulin resistance.
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PMID:[Major insulin resistance syndromes: clinical and physiopathological aspects]. 1183 62

The precise molecular cause of insulin resistance has not yet been elucidated. Resistance to the normal action of insulin contributes to the pathogenesis of a number of common human disorders, including type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus, hypertension, and the Metabolic Syndrome X, thus constituting a major public health problem. A disease program aimed at combating this disorder should focus on the identification of targets for therapeutic intervention which may overcome insulin resistance and hence the associated metabolic consequences characteristic of the Metabolic Syndrome. Although the primary defect in the pathogenesis of type 2 diabetes is unknown, genetic and environmental factors are likely to contribute to the manifestation of this progressive metabolic disorder, which is usually not clinically apparent until mid-life. Defects at the level of glucose uptake/phosphorylation characterize insulin resistance in skeletal muscle of type 2 diabetic patients. Identification of putative components of the insulin receptor-signaling pathway may offer insights into mechanisms involved in insulin resistance. Enhanced flux of free fatty acids due to impaired lipid metabolism may contribute to impaired insulin secretion and peripheral insulin resistance. Genes regulating lipolysis are prime candidates for susceptibility towards the metabolic syndrome. Here we describe pathways constituting complex interactions that control glucose homeostasis. We will be considering (1) regulation of glucose uptake by the insulin receptor signaling pathway, and (2) control of adipogenesis and insulin sensitivity by the sterol response element binding protein (SREBP) pathway.
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PMID:Analysis of insulin signaling pathways through comparative genomics. Mapping mechanisms for insulin resistance in type 2 (non-insulin-dependent) diabetes mellitus. 1284 56

The plasma concentration of the adipocyte-derived peptide adiponectin is decreased in patients with obesity and type 2 diabetes. The adiponectin gene is located on chromosome 3q27, where a diabetes susceptibility locus has been mapped. Adiponectin gene polymorphisms (single nucleotide polymorphisms [SNPs]) have been associated with BMI, insulin sensitivity, and type 2 diabetes in some cross-sectional studies. Our aim was to assess the contribution of these SNPs in the development of features of the insulin resistance syndrome in a 3-year prospective study in approximately 4,500 French Caucasian subjects from the Epidemiologic Data on the Insulin Resistance Syndrome (DESIR) cohort. For subjects who were normoglycemic at baseline, the 3-year risk of becoming hyperglycemic (diabetes or impaired fasting glucose) was affected by two SNPs: G-11391A and T45G. For G-11391A, the risk was increased in GA carriers (odds ratio [OR] adjusted for sex [versus GG] = 1.60 [95% CI 1.16-2.20]; P = 0.004). For T45G, it was increased in GG carriers (OR [versus TT] = 2.71 [1.31-5.60]; P = 0.007). After 3 years, GG subjects had a greater increase in BMI (P = 0.009) and waist-to-hip ratio (P = 0.007). Adiponectin levels at baseline were associated with the development of hyperglycemia (P = 0.005), but the predictive effects on the risk for hyperglycemia were independent of adiponectin genotypes. In conclusion, in the DESIR study, variations at the adiponectin locus affect body weight gain, body fat distribution, and onset of hyperglycemia, as well as adiponectin levels. Adiponectin gene SNPs may have several phenotypic effects that co-occur with the development of the metabolic syndrome.
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PMID:Adiponectin gene polymorphisms and adiponectin levels are independently associated with the development of hyperglycemia during a 3-year period: the epidemiologic data on the insulin resistance syndrome prospective study. 1504 34

Metabolic syndrome has been recognised as a cluster of risk factors contributing to the development of cardiovascular diseases. Different diagnostic criteria have been proposed and the consensus focuses on four major risk factors: obesity, diabetes, dyslipidaemia and hypertension. Although treatment options are available to treat each component separately, a highly effective agent for metabolic syndrome has yet to be developed. To explore the clinical definition of metabolic syndrome and potential molecular targets that can be modulated for treatment purpose, a meeting entitled 'Targeting Metabolic Syndrome' was organised in 2004 by IBC USA Conferences, Inc. This article highlights discussions related to the clinical correlates and pathophysiology of metabolic syndrome, and reviews some of the promising drug discovery efforts. Metabolic syndrome should be treatable and preventable if obesity and insulin resistance are well controlled. New regulatory guidelines need to be developed as new treatment options are being investigated. From a broad spectrum of potential mechanisms encompassing central nervous system targets and peripheral targets for pharmacological intervention, a few promising molecular targets have emerged. Modulating these is expected to treat at least some components of metabolic syndrome.
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PMID:Targeting metabolic syndrome. 1533 Jul 51

Genetic Epidemiology of Metabolic Syndrome is a multinational, family-based study to explore the genetic basis of the metabolic syndrome. Atherogenic dyslipidemia (defined as low plasma high-density lipoprotein cholesterol with elevated triglycerides (<25th and >75th percentile for age, gender, and country, respectively) identified affected subjects for the metabolic syndrome. This report examines the frequency at which atherogenic dyslipidemia predicts the metabolic syndrome of the National Cholesterol Education Program Adult Treatment Panel III (ATP-III). One thousand four hundred thirty-six (854 men/582 women) affected patients by our criteria were compared with 1,672 (737 men/935 women) unaffected persons. Affected patients had more hypertension, obesity, and hyperglycemia, and they met a higher number of ATP-III criteria (3.2 +/- 1.1 SD vs 1.3 +/- 1.1 SD, p <0.001). Overall, 76% of affected persons also qualified for the ATP-III definition (Cohen's kappa 0.61, 95% confidence interval 0.59 to 0.64), similar to a separate group of 464 sporadic, unrelated cases (75%). Concordance increased from 41% to 82% and 88% for ages < or =35, 36 to 55, and > or =55 years, respectively. Affected status was also independently associated with waist circumference (p <0.001) and fasting glucose (p <0.001) but not systolic blood pressure (p = 0.43). Thus, the lipid-based criteria used to define affection status in this study substantially parallels the ATP-III definition of metabolic syndrome in subjects aged >35 years. In subjects aged <35 years, atherogenic dyslipidemia frequently occurs in the absence of other metabolic syndrome risk factors.
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PMID:Relation between atherogenic dyslipidemia and the Adult Treatment Program-III definition of metabolic syndrome (Genetic Epidemiology of Metabolic Syndrome Project). 1564 51

Obstructive sleep apnea (OSA) is a prevalent disorder particularly among middle-aged, obese men, although its existence in women as well as in lean individuals is increasingly recognized. Despite the early recognition of the strong association between OSA and obesity, and OSA and cardiovascular problems, sleep apnea has been treated as a 'local abnormality' of the respiratory track rather than as a 'systemic illness.' In 1997, we first reported that the pro-inflammatory cytokines interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNFalpha) were elevated in patients with disorders of excessive daytime sleepiness (EDS) and proposed that these cytokines were mediators of daytime sleepiness. Also, we reported a positive correlation between IL-6 or TNFalpha plasma levels and the body-mass-index (BMI). In subsequent studies, we showed that IL-6, TNFalpha, and insulin levels were elevated in sleep apnea independently of obesity and that visceral fat, was the primary parameter linked with sleep apnea. Furthermore, our findings that women with the polycystic ovary syndrome (PCOS) (a condition associated with hyperandrogenism and insulin resistance) were much more likely than controls to have sleep disordered breathing (SDB) and daytime sleepiness, suggests a pathogenetic role of insulin resistance in OSA. Other findings that support the view that sleep apnea and sleepiness in obese patients may be manifestations of the Metabolic Syndrome, include: obesity without sleep apnea is associated with daytime sleepiness; PCOS and diabetes type 2 are independently associated with EDS after controlling for SDB, obesity, and age; increased prevalence of sleep apnea in post-menopausal women, with hormonal replacement therapy associated with a significantly reduced risk for OSA; lack of effect of continuous positive airway pressure (CPAP) in obese patients with apnea on hypercytokinemia and insulin resistance indices; and that the prevalence of the metabolic syndrome in the US population from the Third National Health and Nutrition Examination Survey (1988-1994) parallels the prevalence of symptomatic sleep apnea in general random samples. Finally, the beneficial effect of a cytokine antagonist on EDS in obese, male apneics and that of exercise on SDB in a general random sample, supports the hypothesis that cytokines and insulin resistance are mediators of EDS and sleep apnea in humans. In conclusion, accumulating evidence provides support to our model of the bi-directional, feed forward, pernicious association between sleep apnea, sleepiness, inflammation, and insulin resistance, all promoting atherosclerosis and cardiovascular disease.
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PMID:Sleep apnea is a manifestation of the metabolic syndrome. 1589 51

A substantial portion of the population of the United States has the Metabolic Syndrome, a condition that greatly increases risk for cardiovascular disease and diabetes. Insulin resistance, and the resulting compensatory hyperinsulinemia, is the principal pathophysiologic abnormality underlying the majority of these cases. Based on the most recent recommendations of the National Cholesterol Education Panel, such patients can be identified by the presence of three or more of the following traits: impaired fasting glucose, abdominal obesity, hypertension, elevated levels of triglycerides, and low concentrations of HDL-cholesterol. However, a significant number of insulin resistant (and thus high risk) individuals will not be identified using these criteria. This discrepancy occurs because insulin resistance is a continuous variable, without an absolute cut-off between normal and abnormal, and those fitting the definition are the most insulin resistant. Moreover, easily applicable testing to diagnose insulin resistance accurately in the general population is currently not feasible. It is therefore necessary to broaden the criteria that define the metabolic syndrome to include other conditions associated with the presence of insulin resistance. Such conditions include the following: a family history of type 2 diabetes or coronary artery disease in first- or second-degree relatives, signs of an over active sympathetic nervous system, and elevated concentrations of uric acid. By recognizing these "other conditions," appropriate lifestyle changes and medication can be recommended to help prevent cardiovascular disease and diabetes from developing in these high-risk patients.
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PMID:Toward an improved diagnosis of the metabolic syndrome other clues to the presence of insulin resistance. 1610 24

Review of the trend in cardiovascular disease mortality for males and females clearly demonstrated that whereas the trend shows a decline in males this decline is not observed in females. Multiple important reports emerged from the initial phases of the Women's Ischemic Syndrome Evaluation (WISE) study that may have significant clinical implications for our approach to cardiovascular disease in women. The data derived from the WISE study certainly provided important information to our understanding of the approach to women with cardiovascular disease. The clinical presentation may be different, and a gender-oriented questionnaire may enhance our diagnosis. In a multivariable model, low hemoglobin was associated with significantly higher risk of adverse outcomes. The risk factor assessment and the risk factor profiles in women that are associated with coronary artery disease may be different. Based on the studies from the WISE study, metabolic syndrome is a leading and a major risk factor in women. Moreover, the data further support the concept that the mechanism of ischemia in women may be localized in the microvascular coronary arteries. Therefore, the diagnoses of coronary microvascular dysfunction or endothelial dysfunction should be considered in women with chest pain who do not have obstructive coronary artery disease. It may be advantageous to add such diagnostic tests when the conventional tests are nondiagnostic. A revised clinical approach to cardiovascular disease in women may be designed and tested based on these findings.
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PMID:Women and cardiovascular heart disease: clinical implications from the Women's Ischemia Syndrome Evaluation (WISE) Study. Are we smarter? 1645 73


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