Insulin resistance and vascular dysfunction in nondiabetic Asian Indians

Asian Indians are at higher risk for diabetes and cardiovascular disease than European Caucasians. To examine the pathophysiology of this increased risk, we measured insulin sensitivity, cardiovascular risk factors, fat distribution, and endothelium-dependent (reactive hyperemia) and -independent (nitroglycerin) vasodilation before and after a 2-h hyperinsulinemic clamp (40 mU/m(2).min) in 25 nondiabetic Asian Indians and 15 Caucasians with similar age and body mass index. Asian Indians had higher fasting insulin than Caucasians (6.7 +/- 0.8 vs. 3.7 +/- 0.3 microU/ml, P = 0.007) but similar FPG (90 +/- 2 vs. 88 +/- 2 mg/dl). Glucose uptake during the clamp was markedly reduced in Asian Indians vs. Caucasians (4.5 +/- 0.3 vs. 7.5 +/- 0.4 mg/kg x min, P < 0.0001). During the clamp, basal brachial artery diameter increased less in Asian Indians vs. Caucasians (2.6 +/- 1.0 vs. 5.7 +/- 1.0%, P = 0.04), and the reduction was correlated with the impairment in insulin sensitivity (r = 0.38, P = 0.04). In contrast, vasodilatory responses to reactive hyperemia and nitroglycerin were similar in Asian Indians and Caucasians both before and during hyperinsulinemia. Plasminogen activator inhibitor-1 and FFA were significantly elevated and adiponectin was significantly lower in Asian Indians vs. Caucasians, and there were trends toward higher low-density lipoprotein and triglycerides, lower high-density lipoprotein, and increased total, sc, and visceral fat. These risk factors were all significantly correlated with insulin sensitivity. Thus, apparently healthy Asian Indians have severe insulin resistance, dyslipidemia, elevated plasminogen activator inhibitor-1, impaired insulin-mediated vasodilation, and trends toward altered body fat distribution. These abnormalities may contribute to the increased risk of diabetes and cardiovascular disease in this population.     

Relationship of regional adiposity to insulin resistance and serum triglyceride levels in nonobese Japanese type 2 diabetic patients

The aim of this study was to investigate the relationships between insulin resistance and regional abdominal fat area, body mass index (BMI), and serum lipid profile in nonobese Japanese type 2 diabetic patients. A total of 63 nonobese Japanese type 2 diabetic patients aged 45 to 83 years were examined. The duration of diabetes was 8.4 +/- 0.8 years. BMI, glycosylated hemoglobin (HbA(1c)) levels, and fasting concentrations of plasma glucose, serum lipids (total cholesterol, high-density lipoprotein [HDL] cholesterol, and triglycerides), and serum insulin were measured. The low-density lipoprotein (LDL) cholesterol level was calculated using the Friedewald formula (LDL cholesterol = total cholesterol - HDL cholesterol - 1/5 triglycerides). Insulin resistance was estimated by the homeostasis model assessment (HOMA-IR). Computed tomography (CT) was used to measure cross-sectional abdominal subcutaneous and visceral fat areas in all the patients. Adipose tissue areas were determined at the umbilical level. Subcutaneous and visceral abdominal fat areas were 136.5 +/- 6.0 and 86.0 +/- 4.1 cm(2), respectively. Univariate regression analysis showed that insulin resistance was positively correlated with subcutaneous (r =.544, P <.001) and visceral (r =.408, P =.001) fat areas, BMI (r =.324, P =.009), HbA(1c) (r =.254, P =.001), serum triglycerides (r =.419, P <.001), and serum LDL cholesterol (r =.290, P =.019) levels and was negatively correlated with serum HDL cholesterol level (r =.254, P =.041). Multiple regression analyses showed that insulin resistance was independently predicted by the areas of subcutaneous (F = 6.76, P <.001) and visceral (F = 4.61, P <.001) abdominal fat and serum triglycerides (F = 8.88, P <.001) level, which explained 36.9% of the variability of insulin resistance. Moreover, the present study demonstrated that whereas BMI was positively correlated with visceral (r =.510, P <.001) and subcutaneous (r =.553, P <.001) fat areas, serum triglyceride level was positively associated with visceral (r =.302, P =.015), but not with subcutaneous (r =.222, P =.074) fat area. From these results, it can be suggested that (1) both subcutaneous and visceral abdominal fat areas are independently associated with insulin resistance and (2) visceral fat area, but not the subcutaneous one, is associated with serum triglyceride levels in our nonobese Japanese type 2 diabetic patients.     

Glucose-to-insulin ratio rather than sex hormone-binding globulin and adiponectin levels is the best predictor of insulin resistance in nonobese women with polycystic ovary syndrome

Polycystic ovary syndrome (PCOS), the main androgen disorder in women, has been suggested to be associated with a high risk of developing cardiovascular disease and type 2 diabetes. In many PCOS patients, overweight or central obesity is generally associated with increases in fasting insulin levels, insulin resistance, and glucose intolerance, and has been identified as a target for new therapeutic strategy, including early change in lifestyle. Early biochemical marker(s) for identifying at-risk patients will be useful for prevention studies. The main goal of the present study was to search for such tool(s). We investigated 16 nonobese PCOS women by performing euglycemic hyperinsulinemic clamp and measuring insulin levels during fasting and oral glucose tolerance test, as well as the serum concentrations of SHBG, leptin, and adiponectin, the newly identified adipose factors. Eight of the 16 patients had a steady-state glucose disposal rate less than 8.5 mg/kg.min, the lowest normal value for nonobese control women. These insulin-resistant patients had significant higher body mass index (BMI) and waist-to-hip ratio (WHR), and lower high-density lipoprotein cholesterol and SHBG levels. As expected, glucose disposal correlated negatively with BMI (P = 0.01), WHR (P = 0.01), and fasting insulin level (P = 0.003). On stepwise regression analysis, however, the glucose-to-insulin ratio (GIR) emerged as the strongest independent parameter to appraise insulin resistance (R(2) = 0.61). SHBG level correlated positively with GIR (P < 0.001) and negatively with BMI (P = 0.003) but did not correlate with either insulin response during the glucose tolerance test or plasma leptin and/or adiponectin levels. In contrast, BMI was the only independent predictive parameter of SHBG (P = 0.003, R(2) = 0.73). Interestingly, plasma adiponectin levels were positively associated with glucose disposal rate (P = 0.043) and negatively with WHR (P = 0.024), waist circumference being the best predictor of adiponectin level (P < 0.01). Leptin level correlated only with BMI (r = 0.62, P = 0.01). This study confirmed that insulin resistance, despite the lack of obesity as such, is clearly present in many PCOS women, and demonstrated that GIR is the best predictor for insulin resistance. It was also shown that adiponectin level is a good indicator of abdominal fat mass and is associated to insulin resistance. Finally, low SHBG levels in PCOS are intimately associated with BMI, suggesting that some signal(s) from the adipose tissue, independent of adiponectin and leptin, may regulate liver production of SHBG.     

Plasma levels of agouti-related protein are increased in obese men

To investigate the relationship between peripheral blood levels of agouti-related protein (AGRP) and various parameters of obesity, we measured the plasma level of AGRP in 15 obese and 15 nonobese men and evaluated its relationship with body mass index (BMI), body fat weight, and visceral, sc, and total fat areas measured by computed tomography, fasting insulin levels, glucose infusion rate during an euglycemic hyperinsulinemic clamp study, serum leptin, and plasma alpha-MSH. Obese men had significantly higher plasma concentrations of AGRP than nonobese men (P < 0.01). Univariate analysis showed that the plasma levels of AGRP are proportionally correlated with BMI, body fat weight, and sc fat area in obese men (BMI: r = 0.732, P < 0.01; body fat weight: r = 0.603, P < 0.02; sc fat area: r = 0.668, P < 0.01) and in all men (BMI: r = 0.839, P < 0.0001; body fat weight: r = 0.818, P < 0.0001; sc fat area: r = 0.728, P < 0.0001). In all men, the plasma levels of AGRP were significantly correlated with the visceral fat area (r = 0.478, P < 0.01), total fat area (r = 0.655, P < 0.0001), fasting insulin level (r = 0.488, P < 0.01), glucose infusion rate (r = -0.564, P < 0.01), serum level of leptin (r = 0.661, P < 0.0001), and the plasma level of alpha-MSH (r = 0.556, P < 0.01). In all subjects, multiple regression analysis showed that the plasma levels of AGRP are significantly (F = 15.522, r = 0.801, P < 0.03) correlated with the plasma levels of alpha-MSH, independently from the total fat area. However, the correlation between plasma levels of AGRP and serum levels of leptin was found to be dependent on the total fat area. In brief, these findings showed that the circulating levels of AGRP are increased in obese men and that they are correlated with various parameters of obesity. Although correlation does not prove causation, the results of this study suggest that peripheral AGRP may play a role in the pathogenesis of obesity.     

Reciprocal association between visceral obesity and adiponectin: in healthy premenopausal women

BACKGROUND: Obesity is one of the well-known risk factors of vascular disorders; however, the molecular mechanisms underlying the association between the two remain undetermined. Previous studies have demonstrated that the plasma levels of adiponectin, an adipose-derived hormone, are reduced in obese subjects, and that this hypoadiponectinemia is associated with ischemic heart disease. In this study, we sought to identify the primary determinants of plasma adiponectin levels in healthy premenopausal women. METHODS AND RESULTS: We analyzed the plasma adiponectin concentrations in age-matched healthy obese premenopausal women [n=37, body mass index (BMI)> or= 25 kg/m(2)] and in healthy nonobese premenopausal women (n = 23, BMI < 25 kg/m(2)). Visceral and subcutaneous fat (VCF and SCF) areas were determined by abdominal computed tomography (CT) scan. Plasma levels of adiponectin in obese subjects were lower than in nonobese subjects (3.24 +/- 1.08 vs. 4.90 +/- 2.06 ug/ml, P < 0.01). Significant, univariate inverse correlations were observed between adiponectin levels and visceral fat areas (r = -0.643, p < 0.001), subcutaneous fat areas (r = -0.407, p < 0.01), and hsCRP (r = -0.36, p = 0.007). Plasma levels of adiponectin correlated positively with insulin sensitivity [quantitative insulin sensitivity check index (QUICKI): r = 0.38, p = 0.005] and high-density lipoprotein (HDL) cholesterol (r = 0.44, p = 0.001), and negatively with low-density lipoprotein (LDL) cholesterol (r = -0.29, p = 0.028), triglyceride (r = -0.33, p = 0.013), and BMI (r = -0.48, p < 0.001). By multivariate analysis, only visceral fat areas affected adiponectin plasma levels (beta = -0.016, p < 0.05, R(2) = 0.504). Plasma levels of HDL cholesterol remained significantly correlated to plasma adiponectin concentrations in multivariate analysis (beta = 0.067, p < 0.05). CONCLUSIONS: These results collectively indicate that plasma HDL cholesterol levels and visceral fat masses are independently associated with plasma adiponectin concentrations.     

Visceral adipose tissue and metabolic complications of obesity are reduced in Prader-Willi syndrome female adults: evidence for novel influences on body fat distribution

Visceral obesity is detrimental to health, but the mechanisms controlling body fat distribution are not fully understood. In premenopausal adult females (30 nonobese, 14 obese [body mass index >30 kg/m(2)]), variance in fasting insulin, glucose, insulin/glucose ratio, C-peptide/insulin ratio, triglycerides, and high-density lipoprotein/low-density lipoprotein-cholesterol ratio, were independently influenced by visceral but not total sc or abdominal sc adipose tissue, as measured by whole-body magnetic resonance imaging. Adult females with Prader-Willi syndrome (n = 13) had significantly reduced visceral adiposity, compared with obese controls (visceral/total sc adipose tissue ratio: 0.067 +/- 0.017 vs. 0.108 +/- 0.021), independent of their total adiposity (P < 0.001), or use of exogenous sex steroids. This is in contrast to that expected by their physical inactivity, hypogonadism, adult GH deficiency, and psychiatric problems. Females with Prader-Willi syndrome not receiving sex steroids (n = 8) had significantly reduced fasting insulin, insulin/glucose ratio, and triglycerides and increased C-peptide/insulin ratio, compared with obese controls, adjusting for total (P < 0.05) but not visceral adiposity (P = 0.3-0.6), supporting their association. The cause of the reduced visceral adiposity in Prader-Willi syndrome may reflect novel hormonal, hypothalamic, and/or genetic influences on body fat distribution.     

Different metabolic correlations of thrombin-activatable fibrinolysis inhibitor and plasminogen activator inhibitor-1 in non-obese type 2 diabetic patients

We investigated the plasma levels of thrombin-activatable fibrinolysis inhibitor (TAFI), plasminogen activator inhibitor-1 (PAI-1) and their relation with clinical and metabolic parameters in non-obese type 2 diabetic patients. The plasma levels of TAFI and PAI-1 were evaluated in 47 non-obese type 2 diabetic patients and 31 normal subjects. The intra-abdominal visceral and subcutaneous fat areas were measured by computed tomography (CT). The degree of insulin resistance was evaluated by the euglycemic-hyperinsulinemic clamp technique using artificial pancreas. The plasma levels of TAFI (169.0+/-108.8% versus 103.7+/-52.3%; p<0.001, mean+/-S.D.) and PAI-1 (82.7+/-54.5ng/ml versus 52.9+/-51.7ng/ml; p<0.05) were significantly higher in non-obese type 2 diabetic patients than in normal subjects. Univariate analysis showed that the plasma TAFI levels are significantly and inversely correlated with the glucose infusion rate (GIR) (r=-0.42, p<0.005) in all diabetic patients. Moreover, the plasma levels of TAFI were significantly correlated with fasting plasma glucose levels (r=0.47, p<0.001) and HbA(1c) (r=0.38, p<0.005) in all subjects. The plasma levels of PAI-1 were significantly and proportionally correlated with the visceral fat area (r=0.42, p<0.005) and body mass index (r=0.33, p<0.05). There was no significant correlation between plasma levels of TAFI and PAI-1 (r=0.04). These results show that the plasma levels of TAFI and PAI-1 differently correlate with insulin resistance and visceral fat accumulation, suggesting that different factors are implicated in the plasma elevation of TAFI and PAI-1 in non-obese type 2 diabetes mellitus.     

Uncomplicated type 1 diabetes is associated with increased asymmetric dimethylarginine concentrations

CONTEXT: Asymmetric dimethylarginine (ADMA) has recently emerged as an independent risk marker for cardiovascular disease, but studies investigating the ADMA levels in type 1 diabetes mellitus (DM) are scarce. OBJECTIVE: We aimed to evaluate plasma ADMA, L-arginine concentrations, and L-arginine to ADMA ratio in uncomplicated type 1 diabetic patients and controls. DESIGN AND SUBJECTS: Forty patients with type 1 DM who did not have clinical evidence of vascular complications and 35 healthy controls were included in the study. RESULTS: Plasma ADMA concentrations were higher (2.6 +/- 1.9 vs. 1.7 +/- 0.7 micromol/liter, P < 0.01), and L-arginine levels were lower (79.3 +/- 22.6 vs. 89.6 +/- 19.4 micromol/liter, P < 0.05) in the diabetic group, compared with controls. The L-arginine to ADMA ratio was also lower in the diabetic group (38.7 +/- 17.1 vs. 62.0 +/- 27.9, P < 0.0001). In diabetic patients, logADMA correlated positively with body mass index (BMI) (P = 0.01), fasting blood glucose (P = 0.006), and low-density lipoprotein cholesterol (LDL-c) (P = 0.01) and negatively with high-density lipoprotein cholesterol (P = 0.03). L-arginine to ADMA ratio correlated negatively with BMI (P = 0.004), fasting blood glucose (P = 0.02), and LDL-c (P = 0.01) and positively with high-density lipoprotein cholesterol (P = 0.04). In controls, logADMA and L-arginine to ADMA ratio correlated with BMI and LDL-c (P < 0.05). In regression analysis, BMI predicted 15% variance of ADMA levels (P = 0.02). CONCLUSIONS: We demonstrated that ADMA increases and L-arginine to ADMA ratio decreases, even before the development of vascular complications in type 1 DM.     

Circulating fatty acids, non-high density lipoprotein cholesterol, and insulin-infused fat oxidation acutely influence whole body insulin sensitivity in nondiabetic men

Circulating lipids and tissue lipid depots predict insulin sensitivity. Associations between fat oxidation and insulin sensitivity are variable. We examined whether circulating lipids and fat oxidation independently influence insulin sensitivity. We also examined interrelationships among circulating lipids, fat oxidation, and tissue lipid depots. Fifty-nine nondiabetic males (age, 45.4 +/- 2 yr; body mass index, 29.1 +/- 0.5 kg/m(2)) had fasting circulating nonesterified fatty acids (NEFAs) and lipids measured, euglycemic-hyperinsulinemic clamp for whole body insulin sensitivity [glucose infusion rate (GIR)], substrate oxidation, body composition (determined by dual energy x-ray absorptiometry), and skeletal muscle triglyceride (SMT) measurements. GIR inversely correlated with fasting NEFAs (r = -0.47; P = 0.0002), insulin-infused NEFAs (n = 38; r = -0.62; P < 0.0001), low-density lipoprotein cholesterol (r = -0.50; P < 0.0001), non-high-density lipoprotein cholesterol (r = -0.52; P < 0.0001), basal fat oxidation (r = -0.32; P = 0.03), insulin-infused fat oxidation (r = -0.40; P = 0.02), SMT (r = -0.28; P < 0.05), and central fat (percentage; r = -0.59; P < 0.0001). NEFA levels correlated with central fat, but not with total body fat or SMT. Multiple regression analysis showed non-high-density lipoprotein cholesterol, fasting NEFAs, insulin-infused fat oxidation, and central fat to independently predict GIR, accounting for approximately 60% of the variance. Circulating fatty acids, although closely correlated with central fat, independently predict insulin sensitivity. Insulin-infused fat oxidation independently predicts insulin sensitivity across a wide range of adiposity. Therefore, lipolytic regulation as well as amount of central fat are important in modulating insulin sensitivity.     

低碳水化合物高营养密度膳食对肥胖儿童青少年的减重效果及糖脂代谢的影响

目的探讨低碳水化合物高营养密度膳食对肥胖儿童青少年的减重效果及糖脂代谢的影响。 方法选取2020年6月至2021年6月惠州市中心人民医院肥胖门诊及营养门诊的肥胖儿童青少年（7~18岁）37例作为研究组,选取同期22例肥胖儿童青少年作为对照组,对照组采用平衡膳食及生活方式、运动宣教干预,研究组在生活方式、运动宣教干预的基础上,采用低碳水化合物高营养密度膳食干预,共干预8周,比较两组干预前后BMI、腰臀比、身体成分分析数据以及代谢指标水平。 结果两组患者干预前的BMI、腰围、臀围、腰臀比、体脂率、内脏脂肪面积对比差异均无统计学意义（P>0.05）,在干预8周后,研究组的BMI、腰围、臀围、腰臀比、体脂率和内脏脂肪面积显著低于对照组,差异具有统计学意义（P<0.05）;干预前两组的空腹血糖（FPG）、餐后2 h血糖（2hPG）、空腹胰岛素（FINS）、餐后2 h胰岛素（2hINS）、血尿酸（UA）、血清胆固醇（TC）、甘油三酯（TG）、高密度脂蛋白胆固醇（HDL-C）和低密度脂蛋白胆固醇（LDL-C）比较差异均无统计学意义（P>0.05）,干预8周后研究组的FPG、2hPG、FINS、2hINS、UA、TC、TG、LDL-C水平均显著低于干预前,且显著低于对照组,差异具有统计学意义（P<0.05）。 结论低碳水化合物高营养密度膳食短期内可以有效使肥胖儿童青少年减重,减少体脂率和内脏脂肪面积,改善其糖脂代谢。     

Non-alcoholic hepatic steatosis and its relation to increased plasma biomarkers of inflammation and endothelial dysfunction in non-diabetic men. Role of visceral adipose tissue.

AIMS: To compare plasma biomarkers of inflammation and endothelial dysfunction in individuals with and without non-alcoholic hepatic steatosis (HS), and to evaluate whether such differences were mediated by the adverse metabolic pattern, typically found in these subjects. METHODS: HS (by ultrasound and computed tomography), visceral fat (by computed tomography), insulin resistance (by homeostasis model assessment-HOMA), plasma biomarkers of inflammation and endothelial dysfunction (hs-C reactive protein, fibrinogen, von Willebrand factor, plasminogen activator inhibitor-1 activity) were measured in 100 non-smoking, healthy, male volunteers. RESULTS: Plasma hs-CRP, fibrinogen, v-WF and plasminogen activator inhibitor-1 (PAI-1) activity levels were markedly higher (P < 0.01 or less) in subjects with non-alcoholic HS (n = 35) than in those without HS (n = 65). The former also had significantly higher values for body mass index (BMI), visceral fat, diastolic blood pressure, HOMA insulin resistance score, plasma insulin (both fasting and after glucose load), triglycerides, liver enzymes, and lower high-density lipoprotein (HDL)-cholesterol concentration. While the marked differences in these pro-inflammatory biomarkers observed between the groups were little affected by adjustment for age, BMI, blood pressure values, HOMA insulin resistance score, plasma triglyceride and liver enzyme concentrations, they were completely abolished after controlling for visceral fat. Similarly, in multivariate regression analyses, increased visceral fat significantly predicted the pro-inflammatory biomarkers, independently of HS and other potential confounders. CONCLUSIONS: These results indicate that, in non-smoking, non-diabetic men, the significant increase of plasma biomarkers of inflammation and endothelial dysfunction in the presence of non-alcoholic HS is largely mediated by abdominal visceral fat accumulation.     

Effect of fat distribution on endothelial-dependent and endothelial-independent vasodilatation in healthy humans

AIM: The present study aims to explore the relationship between inflammatory cytokines, plasma lipids, insulin, blood pressure (BP), total adiposity/markers of fat distribution and endothelial function in healthy people across a wide range of body fatness. METHODS: Seventy-three healthy people (44 women; age range: 24-64 years) with body mass index (BMI) range of 18.6-73.1 kg/m2 were recruited. All participants underwent assessment of conduit artery endothelial-dependent vasodilatation by using flow-mediated vasodilatation (FMD) of the brachial artery and endothelial-independent vasodilatation to sublingual GTN. They had blood taken for measurement of plasma markers of glucose homeostasis (fasting insulin and glucose), systemic inflammation (interleukin-6 (IL-6), C-reactive protein (CRP) and tumour necrosis factor-alpha receptor 2 (TNF-alpha R2)) and lipids (low-density lipoprotein (LDL), high-density lipoprotein (HDL) and triglycerides). Morphometric assessment (waist circumference, BMI and waist-to-hip ratio (WHR)) and systolic and diastolic arterial pressure were also measured. RESULTS: Markers of total body fat/fat distribution (waist circumference, BMI and WHR), inflammation (IL-6, CRP and TNF-alpha R2), metabolism (fasting insulin, HDL, LDL and triglycerides) and BP (systolic and diastolic) correlated with FMD. Among these measurements, WHR was the only independent predictor of FMD (r2 = 0.30; p = 0.0001). CONCLUSIONS: WHR is an important marker of endothelial dysfunction in healthy people across a wide range of body fatness.     

Plasma plasminogen activator inhibitor-I is associated with plasma leptin irrespective of body mass index, body fat mass, and plasma insulin and metabolic parameters in premenopausal women.

Leptin, the satiety hormone expressed almost exclusively in adipose tissue, is a marker of body fat accumulation in humans. Recent studies have shown that plasminogen activator inhibitor-1 (PAI-1), a prothrombotic factor associated with atherosclerosis complications, is also produced in adipose tissue. The objective of the present study was to determine whether PAI-1 antigen plasma concentrations are associated with leptin plasma levels or the body fat mass (FM) independently of the variables known to influence PAI-1 production. Sixty-one nondiabetic women aged 18 to 45 years with a wide range of values for the body mass index ([BMI] 18.1 to 37.7 kg/m2) were evaluated for (1) body FM and fasting plasma levels of (2) PAI-1 antigen, (3) PAI-1 activity, (4) leptin, (5) insulin, (6) blood glucose, and (7) lipids (cholesterol, high-density lipoprotein [HDL]-cholesterol, and triglycerides [TG]). Body FM and fat-free mass (FFM) were estimated during fasting conditions by the bioimpedance analysis (BIA) method using a tetrapolar device. Body fat distribution was evaluated by the waist circumference and the waist to hip ratio (WHR). FM was directly associated with both PAI-1 antigen (r = .585, P < .001) and PAI-1 activity (r = .339, P < .001). Seemingly, leptin was positively related to both PAI-1 antigen (r = .630, P < .001) and PAI-1 activity (r = .497, P < .001). Moreover, both PAI-I antigen and PAI-1 activity were directly correlated with FFM (r = .285, P < .05, and r = .336, P < .01, respectively), BMI (r = .594, P < .001, and r = .458, P < .001, respectively), and WHR (r = .510, P < .001, and r = .391, P < .005, respectively). Insulin was directly related to PAI-1 antigen (r = .540, P < .001), PAI-1 activity (r = .259, P < .05), leptin (r = .447, P < .001), and FM (r = .435, P < .001). The association between PAI-1 antigen (dependent variable) and leptin or FM was tested by a stepwise regression model simultaneously including leptin, FM, BMI, WHR, age, FFM, and fasting insulin, blood glucose, TG, cholesterol, and HDL-cholesterol as independent variables. PAI-1 antigen maintained a significant positive independent relationship only with leptin (t = 2.923, P < .01), insulin (t = 3.489, P < .001), and fasting blood glucose (t = 2.092, P < .05), and a negative independent relationship with HDL-cholesterol (t = -2.634, P < .05). In conclusion, the strong relationship between PAI-1 antigen and leptin irrespective of other variables known to influence these factors seems to indicate that leptin per se may potentially increase PAI-1 plasma concentrations in obese subjects.     

Oxidative stress is associated with adiposity and insulin resistance in men

To investigate the direct relationship of oxidative stress with obesity and insulin resistance in men, we measured the plasma levels of 8-epi-prostaglandin F2alpha (PGF2alpha) in 14 obese and 17 nonobese men and evaluated their relationship with body mass index; body fat weight; visceral, sc, and total fat areas, measured by computed tomography; and glucose infusion rate during a euglycemic hyperinsulinemic clamp study. Obese men had significantly higher plasma concentrations of 8-epi-PGF2alpha than nonobese men (P < 0.05). The plasma levels of 8-epi-PGF2alpha were significantly correlated with body mass index (r = 0.408; P < 0.05), body fat weight (r = 0.467; P < 0.05), visceral (r = 0.387; P < 0.05) and total fat area (r = 0.359; P < 0.05) in all (obese and nonobese) men. There was also a significant correlation between the plasma levels of 8-epi-PGF2alpha and glucose infusion rate in obese men (r = -0.552; P < 0.05) and all men (r = -0.668; P < 0.01). In all subjects, the plasma levels of 8-epi-PGF2alpha were significantly correlated with fasting serum levels of insulin (r = 0.487; P < 0.01). In brief, these findings showed that the circulating levels of 8-epi-PGF2alpha are related to adiposity and insulin resistance in men. Although correlation does not prove causation, the results of this study suggest that obesity is an important factor for enhanced oxidative stress and that this oxidative stress triggers the development of insulin resistance in men.     

Adiponectin relationship with lipid metabolism is independent of body fat mass: evidence from both cross-sectional and intervention studies

Adiponectin influences insulin sensitivity and lipid metabolism, but it is not clear whether these effects are correlated with fat mass or distribution. We studied the relationship between plasma adiponectin and leptin levels, insulin sensitivity, and serum lipids by a cross-sectional study (n = 242 subjects) and by an intervention study (95 of 242) to evaluate the effect of weight loss (WL). Considering all subjects both together and subdivided into nonobese (n = 107) and obese (n = 135) groups, plasma adiponectin, but not plasma leptin, was significantly (P < 0.01) correlated with insulin sensitivity [homeostasis model assessment of insulin-resistance index (HOMAIR), insulin sensitivity index (ISI) at oral glucose tolerance test, and clamp in 115 of 242 individuals], high-density lipoprotein cholesterol, and triglycerides. These relationships were still significant (P < 0.01) after adjusting for age, gender, body mass index (BMI), and ISI. After WL (-16.8 +/- 0.8%), plasma adiponectin increased, and plasma leptin decreased (P < 0.0001 for both). Their changes (Delta) were significantly correlated with Delta-BMI (P < 0.05 for both). Delta-Adiponectin, but not Delta-leptin, significantly (P < 0.001) correlated with Delta-high-density lipoprotein cholesterol and Delta-triglycerides; these correlations were independent of age, gender, Delta-BMI, and Delta-ISI (P < 0.005). In conclusion, both cross-sectional and intervention studies indicate that plasma adiponectin level correlates with serum lipids independently of fat mass. The intervention study also suggests that adiponectin increase after WL is correlated with serum lipid improvement independently of insulin sensitivity changes.     

Effect of pioglitazone on abdominal fat distribution and insulin sensitivity in type 2 diabetic patients

We examined the effect of pioglitazone on abdominal fat distribution to elucidate the mechanisms via which pioglitazone improves insulin resistance in patients with type 2 diabetes mellitus. Thirteen type 2 diabetic patients (nine men and four women; age, 52 +/- 3 yr; body mass index, 29.0 +/- 1.1 kg/m(2)), who were being treated with a stable dose of sulfonylurea (n = 7) or with diet alone (n = 6), received pioglitazone (45 mg/d) for 16 wk. Before and after pioglitazone treatment, subjects underwent a 75-g oral glucose tolerance test (OGTT) and two-step euglycemic insulin clamp (insulin infusion rates, 40 and 160 mU/m(2).min) with [(3)H]glucose. Abdominal fat distribution was evaluated using magnetic resonance imaging at L4-5. After 16 wk of pioglitazone treatment, fasting plasma glucose (179 +/- 10 to 140 +/- 10 mg/dl; P < 0.01), mean plasma glucose during OGTT (295 +/- 13 to 233 +/- 14 mg/dl; P < 0.01), and hemoglobin A(1c) (8.6 +/- 0.4% to 7.2 +/- 0.5%; P < 0.01) decreased without a change in fasting or post-OGTT insulin levels. Fasting plasma FFA (674 +/- 38 to 569 +/- 31 microEq/liter; P < 0.05) and mean plasma FFA (539 +/- 20 to 396 +/- 29 microEq/liter; P < 0.01) during OGTT decreased after pioglitazone. In the postabsorptive state, hepatic insulin resistance [basal endogenous glucose production (EGP) x basal plasma insulin concentration] decreased from 41 +/- 7 to 25 +/- 3 mg/kg fat-free mass (FFM).min x microU/ml; P < 0.05) and suppression of EGP during the first insulin clamp step (1.1 +/- 0.1 to 0.6 +/- 0.2 mg/kg FFM.min; P < 0.05) improved after pioglitazone treatment. The total body glucose MCR during the first and second insulin clamp steps increased after pioglitazone treatment [first MCR, 3.5 +/- 0.5 to 4.4 +/- 0.4 ml/kg FFM.min (P < 0.05); second MCR, 8.7 +/- 1.0 to 11.3 +/- 1.1 ml/kg FFM(.)min (P < 0.01)]. The improvement in hepatic and peripheral tissue insulin sensitivity occurred despite increases in body weight (82 +/- 4 to 85 +/- 4 kg; P < 0.05) and fat mass (27 +/- 2 to 30 +/- 3 kg; P < 0.05). After pioglitazone treatment, sc fat area at L4-5 (301 +/- 44 to 342 +/- 44 cm(2); P < 0.01) increased, whereas visceral fat area at L4-5 (144 +/- 13 to 131 +/- 16 cm(2); P < 0.05) and the ratio of visceral to sc fat (0.59 +/- 0.08 to 0.44 +/- 0.06; P < 0.01) decreased. In the postabsorptive state hepatic insulin resistance (basal EGP x basal immunoreactive insulin) correlated positively with visceral fat area (r = 0.55; P < 0.01). The glucose MCRs during the first (r = -0.45; P < 0.05) and second (r = -0.44; P < 0.05) insulin clamp steps were negatively correlated with the visceral fat area. These results demonstrate that a shift of fat distribution from visceral to sc adipose depots after pioglitazone treatment is associated with improvements in hepatic and peripheral tissue sensitivity to insulin.     

Metabolic and anthropometric evaluation of insulin resistance in nondiabetic patients with nonalcoholic steatohepatitis

OBJECTIVES: Insulin resistance is nearly universal in patients with nonalcoholic steatohepatitis (NASH) when tested by glucose tolerance tests or clamp methods. However, the pattern of insulin resistance in these patients after a physiological challenge is unknown. We conducted a study to characterize the metabolic response to a mixed meal in nondiabetic patients with NASH (NDN) and to identify anthropometric determinants of insulin resistance in these patients. METHODS: Serum insulin, C-peptide, glucose, and free fatty acid (FFA) levels were measured at 0, 30, 60, 90, and 120 min after a 500-kcal standard meal in 18 NDN and 18 age-, gender-, and body mass index (BMI)-matched controls. Correlations were made between insulin resistance and various anthropometric, calorimetric, and serological variables. RESULTS: Compared with controls, NDN had significantly higher levels of insulin and C-peptide at baseline and after the mixed meal. However, glucose levels were not different either at baseline or after the meal. NDN had higher fasting levels of FFA than the controls (459 +/- 190 vs 339 +/- 144 micro mol/L, respectively, p = 0.03); however, meal-induced suppression in lipolysis was similar between the two groups (39 +/- 113% vs 46 +/- 60%, p = 0.8). Insulin resistance was significantly correlated with BMI (r = 0.39, p = 0.02) and visceral fat (r = 0.50, p = 0.004). Whereas BMI, percent total body fat, and subcutaneous abdominal fat were similar between the groups, the NASH group had significantly higher percent visceral fat compared with controls (28 +/- 10% vs 22 +/- 14%, p = 0.02). CONCLUSIONS: NDN are significantly hyperinsulinemic, both at fasting and after the mixed meal; however, their glucose homeostasis and suppression in lipolysis after a meal challenge are maintained. Insulin resistance in these patients is likely related to their higher visceral fat mass.     

Associations of leptin with body fat distribution and metabolic parameters in non-insulin-dependent diabetic patients: no effect of apolipoprotein E polymorphism

Leptin levels have been shown previously to be associated with anthropometric parameters such as the body mass index (BMI), total body fat, and subcutaneous fat. Since apolipoprotein E (apoE) polymorphism is known to be a genetic marker affecting the relationship between certain anthropometric and metabolic parameters, we evaluated whether the leptin level and/or associations between the leptin level and body composition in non-insulin-dependent diabetic patients could be determined by apoE polymorphism. In 171 type 2 diabetic patients (105 male and 66 female), body composition (BMI, waist to hip ratio [WHR], fat mass, and visceral fat) was measured and fasting blood samples were obtained to determine the apoE genotype, leptin, glucose, and insulin levels, and the lipid profile. The mean leptin level for the whole group was 11.7 +/- 9.3 ng/mL, with a significant difference (P < .001) between men (7.1 +/- 4.9 ng/mL) and women (19.0 +/- 10.1 ng/mL). No difference was found for leptin levels or anthropometric variables between the 3 different apoE genotypes (E3/E3 homozygotes, E2 carriers, and E4 carriers). Only low-density lipoprotein (LDL) cholesterol was significantly different between the 3 apoE subgroups. The correlations of leptin with anthropometric variables, especially visceral fat, tended to be different between the 3 apoE groups, but this was not independent and no effect was found after controlling for the other parameters in the model. A multiple regression model containing gender, subcutaneous fat, fasting glucose, triglycerides, and high-density lipoprotein (HDL) cholesterol explained 81% of the variance in leptin levels. We conclude that apoE polymorphism has no effect on the leptin level or its associations with other anthropometric and metabolic parameters.     

Visceral fat accumulation contributes to insulin resistance, small-sized low-density lipoprotein, and progression of coronary artery disease in middle-aged non-obese Japanese men

Visceral fat accumulation plays an important role in the occurrence of coronary artery disease (CAD) associated with a cluster of multiple risk factors, such as glucose intolerance, insulin resistance and hyperlipoproteinemia. To clarify the detailed features of these factors, based on visceral fat accumulation, the present study examined the relationship between fat distribution and the characteristics of glucose metabolism and serum lipoproteins in middle-aged non-obese Japanese men. First, the influence of visceral fat accumulation on glucose metabolism, insulin sensitivity, and the extent and severity of coronary artery lesions was investigated in 50 subjects with CAD and compared with 15 control subjects without CAD (Study 1) and with the lipoprotein characteristics in 44 subjects without CAD who were not treated with lipid-lowering drugs (Study 2). Body fat distribution was determined by abdominal computed tomography. In Study 1, the visceral fat area (VFA), blood pressure, fasting immunoreactive insulin (FIRI), and the plasma insulin area (PIA) obtained by oral glucose tolerance test in the subjects with CAD were all significantly higher than in the control subjects. The VFA was significantly correlated with FIRI, the homeostasis model of insulin resistance, PIA and steady state plasma glucose (SSPG) concentration as an index for insulin resistance (r=0.57, p<0.001, r=0.49, p<0.01, r=0.36, p<0.01, and r=0.50, p<0.05, respectively). Although the SSPG concentration did not correlate with the coronary atherosclerosis index as a score of the extent and severity of coronary lesions, the VFA was significantly correlated with this index (r=0.43, p<0.01). In Study 2, the VFA had significant positive correlations with serum total cholesterol, triglyceride, and apolipoprotein B and E levels and the cholesterol and triglyceride concentrations of very-low-density lipoprotein, intermediate-density lipoprotein, and low-density lipoprotein (LDL) fractions. There was a negative correlation between the VFA and LDL particle size (r=-0.34, p<0.05). In conclusion, visceral fat accumulation may contribute to the development of CAD through the progression of insulin resistance and the increase of apo B-containing lipoproteins and small-sized LDLs in middle-aged non-obese Japanese men.     

Elevated plasma levels of alpha-melanocyte stimulating hormone (alpha-MSH) are correlated with insulin resistance in obese men

OBJECTIVE: The role of alpha-melanocyte stimulating hormone (MSH) in obesity has been well-documented. However, circulating alpha-MSH concentrations in obese men and their relationship with clinical indicators of obesity and glucose metabolism have not as yet been evaluated. METHODS: We measured the plasma concentrations of alpha-MSH in 15 obese and 15 non-obese male subjects. The relationship of the plasma concentrations of alpha-MSH with body mass index (BMI), body fat mass (measured by bioelectric impedance), body fat distribution (measured by computed tomography), insulin levels, insulin resistance (assessed by the glucose infusion rate (GIR) during an euglycemic hyperinsulinemic clamp study) and with the serum concentrations of leptin and TNF-alpha were also evaluated. RESULTS: In obese men, the plasma alpha-MSH concentrations were significantly increased compared with those in non-obese men (P< 0.02). The plasma levels of alpha-MSH were positively correlated with BMI (r= 0.560, P< 0.05), fasting insulin levels (r=0.528, P< 0.05) and with visceral fat area (r=0.716, P<0.01), but negatively correlated with GIR (r= -0.625, P< 0.02) in obese male subjects. There were significant correlations between plasma concentrations of alpha-MSH and visceral fat area (r=0.631, P< 0.02), and GIR (r = -0.549, P< 0.05) in non-obese male subjects. Circulating concentrations of alpha-MSH were not significantly correlated with the serum concentrations of leptin and TNF-alpha in both obese and non-obese men. CONCLUSION: Circulating concentrations of alpha-MSH are significantly increased and correlated with insulin resistance in obese men.