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Query: UMLS:C0011860 (type 2 diabetes)
 57,723 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Moderate alcohol consumption protects against type 2 diabetes and cardiovascular disease. Because humans spend most of their time in the postprandial state, we examined the effect of 15 g alcohol on postprandial metabolic factors in 20 postmenopausal women over 6 h. We measured 1) glucose, insulin, lipids, C-reactive protein, and adiponectin levels; 2) augmentation index by applanation tonometry; and 3) energy expenditure and substrate oxidation by indirect calorimetry. Subjects received low carbohydrate (LC; visits 1 and 2) and high carbohydrate (HC; visits 3 and 4) high fat meals with and without alcohol. Alcohol augmented the postprandial increment in insulin (P = 0.07) and reduced the postprandial increment in glucose (P = 0.04) after the LC meal only. Triglycerides were increased by alcohol after the LC (P = 0.002) and HC (P = 0.008) meals. Total and high-density lipoprotein cholesterol, fatty acids, and total adiponectin responses were unaffected. C-reactive protein levels decreased postprandially; reductions were enhanced by alcohol after the HC meal, but were attenuated after the LC meal. Postprandial reductions in the augmentation index were increased by alcohol after the LC meal only (P = 0.007). Alcohol enhanced the postprandial increase in energy expenditure 30-60 min after the LC meal (increase, 373 +/- 49 vs. 236 +/- 32 kcal/d; P = 0.02) and HC meal (increase, 362 +/- 36 vs. 205 +/- 34 kcal/d; P = 0.0009), but suppressed fat and carbohydrate oxidation. Some of our findings may be mechanisms for lower diabetes and cardiovascular risks in moderate drinkers.
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PMID:Beneficial postprandial effect of a small amount of alcohol on diabetes and cardiovascular risk factors: modification by insulin resistance. 1552 27

Metabolic syndrome is a cluster of cardiovascular risk factors. Pathogenesis of metabolic syndrome implies 3 potential etiological mechanisms: obesity and adipose tissue disorders, insulin resistance, and a constellation of independent factors. Clinical recognition of the metabolic syndrome is based on finding several well-recognized signs in clinical practice: abdominal obesity, elevated triglycerides, reduced HDL cholesterol, raised blood pressure, and elevated plasma glucose. In addition, other components commonly aggregate with the major components: elevated apolipoprotein B, small LDL particles, insulin resistance and hyperinsulinemia, impaired glucose tolerance (IGT), elevated C-reactive protein (CRP), and variation in coagulation factors (plasminogen activator inhibitor [PAI]-I and fibrinogen). Cardiovascular disease (CVD) is the primary clinical outcome of metabolic syndrome. Additionally, risk for type 2 diabetes is higher. Diabetes is itself a major risk factor for CVD. ATP III criteria for diagnosis of metabolic syndrome provide a practical tool to identify patients at increased risk for CVD. World Health Organization (WHO) and American Association of Clinical Endocrinologists (AACE) criteria require further oral glucose testing if IFG and diabetes are absent. IGT on OGTT denotes greater risk for diabetes than does metabolic syndrome without elevated fasting glucose.
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PMID:Metabolic syndrome--new insights into a growing entity. 1552 16

S100A12, also called EN-RAGE (extracellular newly identified receptor for advanced glycation end products binding protein) or calcium-binding protein in amniotic fluid-1, is a ligand for RAGE. It has been shown that S100A12 induces adhesion molecules such as vascular cell adhesion molecule-1 and intercellular adhesion molecule-1 in the vascular endothelial cell and mediates migration and activation of monocytes/macrophages through RAGE binding and that infusion of lipopolysaccharide into mice causes time-dependent increase of S100A12 in the plasma. Therefore, circulating S100A12 protein may be involved in chronic inflammation in the atherosclerotic lesion. In this study, we developed an ELISA system that uses specific monoclonal antibodies against recombinant human S100A12 to measure plasma S100A12 levels in patients with diabetes. On using our S100A12 ELISA system, the coefficients of variation of intra- and interassay were less than 4 and 9%, respectively. The analytical lower detection limit was 0.2 ng/ml. When plasma S100A12 levels were measured by this system, the concentrations were more than twice as high in the patients with diabetes, compared with those without. Using univariate analysis in all subjects, plasma S100A12 concentrations correlated with hemoglobin A1c, fasting glucose, high-sensitivity C-reactive protein and white blood cell count. Stepwise multiple regression analyses, however, revealed that only white blood cell count and hemoglobin A1c remained significant independent determinants of plasma S100A12 concentration. These results suggest that plasma S100A12 protein levels are regulated by factors related to subclinical inflammation and glucose control in patients with type 2 diabetes.
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PMID:Increased plasma S100A12 (EN-RAGE) levels in patients with type 2 diabetes. 1553 92

To learn more about the factors that regulate adipokines in diabetes, we examined fasting plasma concentrations of adiponectin and C-reactive protein (CRP) in well-characterized groups of age-matched individuals classified as: (1) type 2 diabetes; (2) impaired fasting glucose or mild diabetes (IFG/mild DM); (3) obese, matched for body mass index (BMI); and (4) non-obese. Diabetic subjects were also studied on no phamacologic treatment, after 3 months randomization to metformin or glyburide, and after 3 months crossover to the opposite drug. CRP decreased and adiponectin increased progressively between subjects in groups 1 through 4. CRP was significantly associated with percent (r = 0.45) and total (r = 0.50) fat, insulin sensitivity as S(I) (r = -0.39) or homeostasis model assessment of insulin resistance [HOMA (IR)] (r = -0.36), and hemoglobin A(1c) (HbA(1c)) (r = 0.41). The relationship of CRP to percent fat appeared to be logarithmic and log CRP varied with percent fat independent of gender. Adiponectin concentration was significantly associated with insulin sensitivity as S(I) (r = 0.55) or HOMA (IR) (r = -0.46). Adiponectin concentrations were higher among women overall (all groups included) but not in women classified as type 2 diabetes. Although mean adiponectin was higher in subjects classified as non-obese compared to obese, adiponectin, in sharp contrast to leptin (previously reported data) and to CRP, varied markedly when expressed as a function of adiposity. Multiple regression models confirmed the strong relationship of adiponectin to insulin sensitivity, as well as the relationships of CRP to adiposity and insulin sensitivity. Glyburide treatment of diabetes decreased CRP and did so even though body weight increased. We conclude that both CRP and adiponectin correlate strongly to S(I). CRP, in contrast to adiponectin, is far more dependent on adiposity. The relationship between CRP (like leptin) and gender depends on how CRP is expressed relative to adiposity. Our data raise the possibility that gender differences in adiponectin may be lost in diabetes. Finally, pharmacologic treatment of diabetes may modulate CRP independent of adiposity.
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PMID:Adiponectin and C-reactive protein in obesity, type 2 diabetes, and monodrug therapy. 1553 1

A role for high leptin levels in the proinflammatory state associated with obesity has been proposed on the basis of observational studies, but a recent interventional study employing administration of long-acting pegylated leptin resulting in very high pharmacologic levels in obese subjects did not support this idea. These interventional studies have not yet been independently confirmed, however, and varying levels and duration of hyperleptinemia as well as the presence of comorbidities such as diabetes have not yet been investigated as potential effect modifiers. We performed three interventional studies involving administration of recombinant methionyl human leptin (r-metHuLeptin) to lean, otherwise healthy obese, and obese diabetic subjects to investigate whether increasing circulating leptin levels over a wide spectrum of values (from low physiologic to high pharmacologic) would alter serum levels of inflammatory markers and other cytokines important in the T helper cell response. Increasing leptin levels from low physiologic to high physiologic in lean men and from higher physiologic to low pharmacologic in obese men over 3 d did not alter serum interferon-gamma, IL-10, TNF-alpha, monocyte chemoattractant protein-1, or soluble intercellular adhesion molecule-1. In obese subjects with type 2 diabetes mellitus, the administration of r-metHuLeptin for 4 or 16 wk, resulting in high pharmacologic leptin levels, did not activate the TNF-alpha system or increase cytokines or inflammatory markers, including IL-10, IL-6, C-reactive protein, monocyte chemoattractant protein-1, and soluble intercellular adhesion molecule-1. These findings do not support an etiopathogenic role for leptin in proinflammatory states associated with leptin excess such as obesity and have direct relevance for the potential future therapeutic use of r-metHuLeptin in humans.
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PMID:Recombinant methionyl human leptin administration to achieve high physiologic or pharmacologic leptin levels does not alter circulating inflammatory marker levels in humans with leptin sufficiency or excess. 1591 91

Central obesity, insulin resistance, inflammation, as well as vascular changes are common in patients with type 2 diabetes. In this study we assessed the relationship among stiffness of the carotid artery, visceral fat, and circulating inflammatory markers in type 2 diabetic subjects. Carotid stiffness, quantified as the distensibility coefficient (DC), was measured by ultrasound in asymptomatic, normotensive patients with uncomplicated, well-controlled type 2 diabetes and in controls. Body fat distribution was quantified by magnetic resonance imaging. In patients, the carotid DC was inversely associated with visceral fat area (r = -0.660; P = 0.005) and plasma levels of C-reactive protein (CRP; r = -0.687; P = 0.002), but most strongly with plasma IL-6 (r = -0.766; P < 0.001). In multivariate analysis, the association between DC and visceral fat disappeared after adjustment for CRP and IL-6. Correction for age, body mass index, blood pressure, glycosylated hemoglobin, or fasting plasma glucose did not affect the association between carotid DC and inflammatory markers. Thus, carotid stiffness is associated with visceral obesity in patients with uncomplicated type 2 diabetes, but this association seems to be mediated by circulating IL-6 and CRP, of which IL-6, at least in part, originates from adipose tissue and stimulates hepatic CRP production.
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PMID:The association between abdominal visceral fat and carotid stiffness is mediated by circulating inflammatory markers in uncomplicated type 2 diabetes. 1561 16

Advances in adipose tissue biology over the past 10 years have led to an improved understanding of the mechanisms linking obesity with the metabolic syndrome and other complications. Obesity is characterized by a chronic, systemic low-grade state of inflammation. Biomarkers of inflammation, such as the leukocyte count, tumor necrosis factor-alpha (TNF-alpha), interleukin 6 (IL-6), and C-reactive protein, are increased in obesity, associated with insulin resistance, and predict the development of type 2 diabetes and cardiovascular disease. It is now clear that the adipocyte is an active participant in the generation of the inflammatory state in obesity. Adipocytes secrete a variety of cytokines, including IL-6 and TNF-alpha, that promote inflammation. Moreover, recent studies suggest that obesity is associated with an increase in adipose tissue macrophages, which also participate in the inflammatory process through the elaboration of cytokines. An improved understanding of the role of adipose tissue in the activation of inflammatory pathways may suggest novel treatment and prevention strategies aimed at reducing obesity-associated morbidities and mortality.
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PMID:The evolving role of inflammation in obesity and the metabolic syndrome. 1566 21

Adiponectin, predominantly synthesized in the adipose tissue, seems to have substantial anti-inflammatory properties and to be a major modulator of insulin resistance and dyslipidemia, mechanisms that are associated with an increased atherosclerotic risk in diabetic patients. However, it is unknown whether higher levels of adiponectin are associated with a reduced risk for coronary heart disease (CHD) among diabetic individuals. We investigated the association between plasma adiponectin levels and incidence of CHD among 745 men with confirmed type 2 diabetes in the Health Professionals Follow-up Study. Participants were aged 46-81 years and were free of diagnosed cardiovascular disease at the time of blood draw in 1993/1994. During an average of 5 years of follow-up (3,980 person-years), we identified 89 incident cases of CHD (19 myocardial infarction and 70 coronary artery bypass surgery), confirmed by medical records. Levels of adiponectin were inversely associated with BMI and directly associated with age, alcohol intake, and duration of diabetes (P < 0.05). After adjustment for age, BMI, smoking, alcohol consumption, duration of diabetes, and other lifestyle factors, adiponectin was associated with a decreased risk for CHD events. The multivariate relative risk for CHD for a doubling of adiponectin was 0.71 (95% CI 0.53-0.95). Further adjustment for HDL cholesterol attenuated this association (0.78 [0.57-1.06]). The inverse association between adiponectin and CHD was consistent across strata of aspirin use, family history of myocardial infarction, alcohol consumption, insulin use, duration of diabetes, and levels of HbA(1c), triglycerides, C-reactive protein, and HDL cholesterol. Our study suggests that increased adiponectin levels are associated with a moderately decreased CHD risk in diabetic men. This association seems to be mediated in part by effects of adiponectin on HDL cholesterol levels.
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PMID:Adiponectin and future coronary heart disease events among men with type 2 diabetes. 1567 12

The atherogenic lipoprotein phenotype is characterized by an increase in plasma triglycerides, a decrease in high-density lipoprotein (HDL), and the prevalence of small, dense low-density lipoprotein (LDL) particles. The present study investigated the clinical significance of LDL size and subclasses as markers of atherosclerosis in diabetes type 2. Thirty-eight patients with type 2 diabetes, total cholesterol of less than 6.5 mmol/L, and hemoglobin A1c (HbA1c) of less than 9% were studied. Median age was 61 years, mean (+/-SD) body mass index 29 +/- 4.3 kg/m2 , and mean HbA1c 7.1 +/- 0.9 %. Laboratory parameters included plasma lipids and lipoproteins, lipoprotein (a), apolipoprotein (apo) A-I, apo B-100, apo C-III, and high-sensitivity C-reactive protein. Low-density lipoprotein size and subclasses were measured by gradient gel electrophoresis and carotideal intima media thickness (IMT) by duplex ultrasound. By factor analysis, 10 out of 21 risk parameters were selected: age, body mass index, systolic blood pressure, smoking (in pack-years), HbA1c, high-sensitivity C-reactive protein, lipoprotein (a), LDL cholesterol, HDL cholesterol, and LDL particle size. Multivariate analysis of variance of these 10 risk parameters identified LDL particle size as the best risk predictor for the presence of coronary heart disease (P = .002). Smaller LDL particle size was associated with an increase in IMT (P = .03; cut-off >1 mm). Within the different lipid parameters (total cholesterol, LDL cholesterol, HDL cholesterol, triglycerides, apo B, apo A-I, apo C-III, LDL particle size), LDL particle size was most strongly associated with the presence of coronary heart disease (P = .002) and IMT (P = .03). It is concluded that LDL size is the strongest marker for clinically apparent as well as non-apparent atherosclerosis in diabetes type 2.
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PMID:Low-density lipoprotein size and subclasses are markers of clinically apparent and non-apparent atherosclerosis in type 2 diabetes. 1569 Mar 18

The aim of this study was to determine the respective contribution of abdominal visceral adipose tissue (AT) accumulation and insulin resistance (IR) to the determination of a comprehensive cardiovascular metabolic risk profile in 108 postmenopausal women not receiving hormone therapy. Insulin sensitivity (M/I) was determined by a hyperinsulinemic-euglycemic clamp, and visceral AT area was measured by computed tomography. Median values of visceral AT (133.9 cm(2)) and insulin sensitivity (0.010189 mg . kg(-1) . min(-1) . pmol(-1)) were used to form four subgroups: 1) low visceral AT-low IR (n = 35), 2) low visceral AT-high IR (n = 19), 3) high visceral AT-low IR (n = 19), and 4) high visceral AT-high IR (n = 35). Women with isolated IR (low visceral AT and high IR) were characterized by significantly higher fasting and 2-h glycemia and higher fibrinogen, triglyceride, and VLDL-apolipoprotein (apo)B concentrations than women with low visceral AT and low IR (P < 0.05). The plasma lipid-lipoprotein profile and inflammatory markers were not significantly different between women with high visceral AT and low IR and women with low visceral AT and low IR. Women with high visceral AT and high IR had higher fasting and 2-h glycemia, triglyceride, and VLDL-apoB levels; lower apoAI and HDL(2) cholesterol levels; as well as higher C-reactive protein and interleukin-6 concentrations than women with low visceral AT and low IR (P < 0.05). In addition, 15 of the 35 women (42.9%) in the high visceral AT and high IR group were newly diagnosed with type 2 diabetes, whereas no women were diagnosed with type 2 diabetes in the group of women with low visceral AT and low IR. These results show that although the presence of high IR in its isolated form is associated with some metabolic alterations, it is the combination of both high visceral AT and high IR that is the most detrimental for the metabolic health in postmenopausal women.
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PMID:Contribution of abdominal visceral obesity and insulin resistance to the cardiovascular risk profile of postmenopausal women. 1573 55


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