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 24,271 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Here we propose that glucose metabolism can be understood on the basis of three concept-derived axioms: (I) A hierarchy exists among the glucose-utilizing organs with the brain served first, followed by muscle and fat. (II) Tissue-specific glucose transporters allocate glucose among organs in order to maintain brain glucose concentrations. (III) Exogenous carbohydrate supply compensates for glucose alterations that can temporarily occur in muscle and fat. Derived from the control theory, the simplest solution of allocating supply to 2 organs, e.g. brain and muscle, is a "fishbone"-structured model. We reviewed the literature, searching for neuroendocrine and metabolic mechanisms that can fulfill control functions in such a model: The tissue-specific glucose transporters are differentially regulated. GLUT 1, carrying glucose across the blood-brain-barrier, is independent of insulin. Instead, this trans-endothelial glucose transporter is rather dependent on potent regulators of blood vessel function like vascular endothelial growth factor - a pituitary counterregulatory hormone. GLUT 4, carrying glucose across the membranes of muscle and fat cells, depends on insulin. Thereby, insulin allocates glucose to muscle and fat. The hypothalamus-pituitary-adrenal (HPA) axis, the sympathetic nervous system (SNS), and vascular endothelial growth factor allocate glucose to the brain. Multiple "sensors" (some of which have only recently been identified as ATP sensitive potassium channels) measure glucose or glucose equivalents at various sites of the body: the ventromedial hypothalamus, the lateral hypothalamus, portal vein, pancreatic beta cell, renal tubule, muscle and adipose tissue. Feedback pathways both from the brain and from muscle and fat are involved in regulating glucose allocation and exogenous glucose supply. The main feedback signal from the brain is found to be glucose, that from muscle and fat appears to be leptin. In fact, the literature search revealed two or more biological mechanisms for the function of each component in the model, finding glucose regulation highly redundant. This review focuses on "brain glucose" control. The concept of glucose allocation presented here challenges the common opinion of "blood glucose" being the main parameter controlled. According to the latter opinion, hyperglycemia in the metabolic syndrome is due to a putative defect located within the closed loop including the beta cell, muscle and fat cells. That traditional view leaves some peculiarities of e.g. the metabolic syndrome unexplained. The concept of glucose allocation, however, would predict that weight gain - with abundance of glucose in muscle and fat - increases feedback to the brain (via hyperleptinemia) which in turn results in HPA-axis and SNS overdrive, impaired insulin secretion, and insulin resistance. HPA-axis overdrive would account for metabolic abnormalities such as central adiposity, hyperglycemia, dyslipidemia, and hypertension, that are well known clinical aspects the metabolic syndrome. This novel viewpoint of "brain glucose" control may shed new light on the pathogenesis of the metabolic syndrome and type 2 diabetes.
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PMID:The neuroendocrine control of glucose allocation. 1214 83

Hyperandrogenemia and low levels of sex hormone binding globulin (SHBG) are frequently found in women with metabolic syndrome, which is characterized by low high-density lipoprotein cholesterol, hypertriglyceridemia, obesity, and hyperinsulinemia. The specific contribution of these various factors to coronary heart disease (CHD) is controversial. The coronary angiograms of 87 consecutive postmenopausal women were evaluated using 2 semiquantitative scoring systems to estimate the extent of focal and diffuse vessel wall alterations. Fasting sera were analyzed for levels of glucose, lipids, insulin, leptin, dehydroepiandrosterone sulfate, testosterone, and SHBG. Obesity was assessed by measuring body mass index, waist-to-hip ratio, skinfold thicknesses, and body impedance. After adjusting for age, there were significant differences in 55 women with CHD compared with 32 women without CHD: higher levels of low-density lipoprotein cholesterol (159 +/- 51 vs 132 +/- 39 mg/dl), apolipoprotein B (121 +/- 33 vs 102 +/- 29 mg/dl), triglycerides (115 vs 91 mg/dl), and basal insulin (7.5 vs 4.6 mU/L), as well as lower levels of high-density lipoprotein cholesterol (59.9 +/- 18.0 vs 69.0 +/- 17.1 mg/dl), SHBG (44.6 vs 68.1 nmol/L) and the quantitative insulin sensitivity check index (0.66 +/- 0.41 vs 0.93 +/- 0.73). Multivariate analysis by logistic regression identified age (odds ratio [OR] 1.22, 95% confidence intervals [CI] 1.09 to 1.37), smoking (OR 11.46, 95% CI 2.56 to 51.39), SHBG (OR 0.98, 95% CI 0.96 to 0.99), and apolipoprotein B (OR 1.02, 95% CI 1.01 to 1.04) as independently associated with the presence of CHD. Thus, low plasma levels of SHBG are associated with CHD in women independently of insulin, obesity markers, and dyslipidemia.
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PMID:Relation of serum levels of sex hormone binding globulin to coronary heart disease in postmenopausal women. 1216 Dec 23

In type 2 diabetes, the threonine (Thr) for alanine (Ala) codon 54 polymorphism of the fatty acid binding protein 2 gene is associated with elevated fasting and postprandial triglycerides and dyslipidemia when compared with the wild type (Ala-54/Ala-54). To assess whether this is the case in patients with type 1 diabetes, who usually do not manifest the metabolic syndrome, we screened 181 patients with similar glycemic control as the type 2 patients. Thirty percent were heterozygous, and 9% were homozygous for the polymorphism. Mean (+/-SEM) fasting plasma triglyceride levels in patients with the wild type (n = 84), those heterozygous for Ala-54/Thr-54 (n = 44), and those homozygous for the Thr-54 (n = 13) were 1.0 +/- 0.07, 1.1 +/- 0.17, and 1.2 +/- 0.23 mmol/liter, respectively. In addition, there were no differences in total, low-density lipoprotein, high-density lipoprotein, and non-high density lipoprotein cholesterol among the three groups. After a fat load, the postprandial area under the curve of triglyceride in plasma, chylomicrons, and very low-density lipoprotein were similar between the wild type (n = 18) and the Thr-54 homozygotes (n = 12). In conclusion, in contrast to type 2, type 1 diabetes does not interact with the codon 54 polymorphism of the fatty acid binding protein 2 gene to cause hypertriglyceridemia/dyslipidemia. Insulin resistance could account possibly for this difference.
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PMID:Unlike type 2 diabetes, type 1 does not interact with the codon 54 polymorphism of the fatty acid binding protein 2 gene. 1216 3

Metabolic syndrome is characterized by a clustering of metabolic abnormalities: insulin resistance - hyperinsulinemia, dyslipidemia (high triglycerides and low HDL - cholesterol serum concentrations), impaired glucose tolerance and/or type 2 diabetes, and hypertension. The aim of this study was to analyse the role of different variables of metabolic syndrome, including leptin, in 74 non-obese children and 68 children with non-syndromal obesity. As metabolic syndrome variables, we have included body mass index, waist circumference, trunk-to-total skinfolds (%), systolic blood pressure, diastolic blood pressure, glucose, uric acid, fasting insulin, triglycerides and high-density lipoprotein-cholesterol (HDL-C). Factor analysis showed 4 factors in each group. In non-obese children, waist circumference, BMI, fasting insulin, triglycerides, trunk-to-total skinfolds (%), leptin and uric acid loaded positively on factor 1, and HDL-C loaded negatively on this factor; systolic and diastolic blood pressure had high positive loadings in factor 2; HDL-C and leptin showed positive loadings and triglycerides and uric acid, negative loadings in factor 3; and, finally, glucose and insulin showed positive loadings in factor 4. These four factors explained 72.16 % of the total variance in the non-obese group. In obese children, BMI, waist circumference, leptin, diastolic blood pressure and systolic blood pressure loaded positively on factor 1; diastolic blood pressure, trunk-to-total skinfolds (%), uric acid and systolic blood pressure showed high positive loadings in factor 2; fasting insulin, glucose and triglycerides showed positive loadings in factor 3; and, finally, triglycerides showed positive loadings and HDL-C negative loadings in factor 4. These four factors explained 74.18 % of the total variance in the obese group. Our results point to a different homeostatic control of metabolic syndrome characteristics in obese and non-obese children. Leptin seems to play a key underlying role in metabolic syndrome, especially in the obese group.
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PMID:Leptin and metabolic syndrome in obese and non-obese children. 1218 88

In addition to neuroendocrine abnormalities, women with polycystic ovary syndrome have insulin resistance and beta-cell dysfunction associated with a high frequency of metabolic syndrome components, such as glucose intolerance, type 2 diabetes mellitus (DM-2), dyslipidemia and a higher risk for endothelial dysfunction, haemostatic abnormalities, hypertension and cardiovascular disease. Obesity, a common finding in this disorder, plays an important role in the development of metabolic and cardiovascular disorders. Early identification of patients and prompt initiation of insulin sensitizing therapy by pharmacological agents or changes in life style such diet and exercise might improve the metabolic and endocrine abnormalities and reduce the risk of DM-2 and cardiovascular disease in these patients.
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PMID:[Chronic complications of polycystic ovary syndrome. Review]. 1222 82

Several classes of antihyperglycemic agents are available for the treatment of patients with type 2 diabetes. These agents, including thiazolidinediones, biguanides, insulin secretagogues, alpha-glucosidase inhibitors, and insulin, offer differing mechanisms of actions and can be used either alone or in combination. The thiazolidinediones are a newer class of oral antidiabetic agents that improve glycemic control and may preserve beta-cell function. Clinical trial data suggest that patients with type 2 diabetes experience progressive deterioration of beta-cell function. By decreasing insulin resistance, thiazolidinediones may preserve beta-cell function, and patients may experience prolonged glycemic control. The thiazolidinediones also exert beneficial effects on dyslipidemia, endothelial function, coagulation, and blood pressure. By improving these components of the metabolic syndrome, thiazolidinediones may reduce the incidence of both microvascular and macrovascular complications. This article provides an overview of the role of thiazolidinediones in the treatment of type 2 diabetes.
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PMID:Rationale for and role of thiazolidinediones in type 2 diabetes mellitus. 1223 Oct 77

Coronary heart disease (CHD) is a common, costly, and undertreated disorder in the United States, and dyslipidemia is one of its most important modifiable risk factors. Recently, the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) published updated guidelines for the treatment of lipid disorders, greatly expanding the number of patients eligible for therapy. In the new recommendations, several significant changes have been made in the identification and management of patients at risk for CHD. Although ATP III maintains that low-density lipoprotein (LDL) cholesterol should be the primary target of lipid-lowering therapy, it identifies non-high-density lipoprotein (HDL) cholesterol (total cholesterol minus HDL cholesterol) as a secondary target in patients with elevated triglycerides. Patients with > or = 2 CHD risk factors should now be assessed for 10-year absolute CHD risk based on the Framingham Point Scale to identify those who require more aggressive treatment. The guidelines also designate a new category, CHD risk equivalent, which recognizes that certain patients have the same high risk as those with established CHD. Diabetes is now identified as a CHD risk equivalent, as are other forms of atherosclerotic disease and multiple risk factors comprising a CHD 10-year risk of > 20%. New lipoprotein classifications are given, and increased emphasis is placed on the metabolic syndrome, a constellation of metabolic risk factors, as a marker for CHD risk. Since adherence poses a major challenge in the management of patients with or at risk for CHD, the new guidelines provide physicians with several strategies for increasing patient compliance. The new guidelines should help physicians better identify and manage patients at risk for CHD, help more patients reach their lipid goals, and thereby decrease cardiovascular morbidity and mortality.
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PMID:New therapeutic options in the National Cholesterol Education Program Adult Treatment Panel III. 1224 Jul 1

The combination of insulin resistance, dyslipidemia, hypertension, and obesity has been described as a "metabolic syndrome" that is a strong determinant of type 2 diabetes. Factor analysis was used to identify components of this syndrome in 1,918 Pima Indians. Prospective analyses were conducted to evaluate associations of identified factors with incidence of diabetes. Factor analysis identified 4 factors that accounted for 79% of the variance in the original 10 variables. Each of these factors reflected a proposed component of the metabolic syndrome: insulinemia, body size, blood pressure, and lipid metabolism. Among 890 originally nondiabetic participants with follow-up data, 144 developed diabetes in a median follow-up of 4.1 years. The insulinemia factor was strongly associated with diabetes incidence (incidence rate ratio [IRR] for a 1-SD difference in factor scores = 1.81, P < 0.01). The body size and lipids factors also significantly predicted diabetes (IRR 1.52 and 1.37, respectively, P < 0.01 for both), whereas the blood pressure factor did not (IRR 1.11, P = 0.20). Identification of four unique factors with different associations with incidence of diabetes suggests that the correlations among these variables reflect distinct metabolic processes, about which substantial information may be lost in the attempt to combine them into a single entity.
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PMID:Components of the "metabolic syndrome" and incidence of type 2 diabetes. 1235 57

Coronary heart disease is a leading cause of death in industrialized nations. Hyperlipidemia with elevated serum total cholesterol, LDL cholesterol, and triglycerides is a known major cardiovascular risk factor. HDL cholesterol is considered to be protective, so low HDL cholesterol is being recognized as an independent cardiovascular risk factor that contributes to the development of atherosclerosis and related adverse cardiovascular events. The recognition of insulin resistance and metabolic syndrome is a step further in understanding these risk factors. Attempts at reducing serum cholesterol with different strategies in the past have met with limited success until the development of statins. The advent of statins has revolutionized the management of hyperlipidemia. The post-statins era has seen major clinical trials demonstrating the benefit of cholesterol reduction in the setting of both primary and secondary prevention. In general, there appears to be a 25% to 40% relative risk reduction in major adverse cardiovascular events such as death, myocardial infarction, and stroke. The recent megatrials further suggest that aggressive management of cholesterol in patients with high cardiovascular risk may be beneficial. Though the concept of the-lower-the-better may be looming, the question of "How low is good enough?" remains controversial. The results of recent megatrials such as the Heart Protection Study go a step further than the NCEP guidelines and suggest that statin therapy may benefit patients at high risk of cardiovascular disease regardless of their baseline values. We summarize the results of the available large clinical trials in our understanding of the management of dyslipidemia in a setting of primary prevention.
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PMID:Management of dyslipidemia in the primary prevention of coronary heart disease. 1235 27

Obesity is a major contributor to the prevalence of cardiovascular disease in the developed world, and yet has only recently been afforded the same level of attention as other risk factors of coronary artery disease. Obesity is a chronic metabolic disorder associated with cardiovascular disease and increased morbidity and mortality. It is apparent that a variety of adaptations/alterations in cardiac structure and function occur as excessive adipose tissue accumulates, even in the absence of comorbidities. Shifts toward a less physically demanding lifestyle are observed today throughout different populations, and this scourge associated with obesity implicates a corresponding increase in the number of individuals afflicted with the metabolic syndrome, which defines the obese patient as being "at risk." Adipose tissue is not simply a passive storehouse for fat, but an endocrine organ that is capable of synthesizing and releasing into the bloodstream a variety of molecules that may impact unfavorably the risk factor profile of a patient. Indeed, obesity may affect atherosclerosis through unrecognized variables and risk factors for coronary artery disease such as dyslipidemia, hypertension, glucose intolerance, inflammatory markers, and the prothrombotic state. By favorably modifying lipids, decreasing blood pressure, and decreasing levels of glycemia, proinflammatory cytokines, and adhesion molecules, weight loss may prevent the progression of atherosclerosis or the occurrence of acute coronary syndrome events in the obese high-risk population.
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PMID:Obesity and cardiovascular disease. 1236 92


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