The fat-free mass compartment influences serum leptin in men

OBJECTIVE: Recent experimental work in mice has demonstrated that leptin is synthesized by muscle cells. As this latter tissue is the main target for insulin-estimulated glucose disposal, we hypothesized that the muscular and fat-free mass (FFM) compartments might influence serum leptin levels in humans through increased insulin resistance. DESIGN AND METHODS: We evaluated body composition (through bioelectric impedance and anthropometrical parameters), insulin resistance (using the fasting insulin resistance index (FIRI) and insulin sensitivity (S(I)) from the minimal model analysis) and leptin levels in 140 men and 114 women. RESULTS: Serum insulin, FIRI and leptin levels were significantly increased in men in the highest quintile of FFM. Leptin levels positively correlated with FFM in men (r=0.24, P=0004) but not in women (r=0.02, P=not significant). With weight gain, however, approximately 25% of the additional weight is lean mass, so that obese people have higher fat-free mass than lean people. Hence, we performed a multiple linear regression analysis in a stepwise manner to predict leptin levels, in which fat mass (FM), FFM, and FIRI, but not age or waist-to-hip ratio (WHR) independently contributed to 32%, 6% and 3% of the variance in serum leptin levels in men. In women, FM (49%), FIRI (3.6%) and WHR (2.4%), but not FFM or age explained this variance. In a sample of 40 subjects, S(I) and leptin correlated with mid-arm muscle circumference (r=-0.51, P=0.03 and r=0.53, P=0.02) and mid-arm muscle area (r=-0.52, P=0.03 and r=0.53, P=0.02) in men (n=17) but not in women (n=23). CONCLUSIONS: The fat-free mass compartment contributes to the variability of serum leptin levels in men. Whether insulin resistance at this level mediates an increased production of leptin merits further research.     

Serum corticosteroid-binding globulin concentration and insulin resistance syndrome: a population study

It has been suggested that a low grade inflammatory state could predispose for developing insulin resistance and contribute to the development of obesity and type 2 diabetes. Corticosteroid-binding globulin (CBG), the main plasma protein transport for cortisol, has been shown to be negatively regulated by insulin and IL-6, at least in vitro, suggesting that insulin resistance and inflammation may both contribute to decreasing CBG levels. In the present study we measured CBG concentrations in a human healthy population and investigated the relationships of CBG with anthropometric and biochemical markers for inflammation and/or insulin resistance. The data showed that the mean serum CBG level was significantly lower in males (n = 151) than in females (n = 113; 32.5 +/- 9.1 vs. 39.2 +/- 13.9 mg/liter; P < 0.0001). In both sexes serum CBG levels were correlated negatively with age (r = -0.12; P = 0.04), body mass index (r = -0.31; P < 0.0001), waist to hip ratio (WHR; r = -0.39; P < 0.0001), systolic (r = -0.15; P < 0.01) and diastolic (r = -0.15; P = 0.01) blood pressures, and HOMA, an index of insulin resistance (r = -0.12; P = 0.04). In addition, the CBG concentration was negatively associated with serum IL-6 concentrations (r = -0.23; P = 0.017) and with the soluble fraction of TNFalpha receptors, soluble TNF receptor 1 (sTNFR1; r = -0.35; P < 0.0001), and sTNFR2 (r = -0.56; P < 0.0001) in women. A stepwise regression analysis using CBG as an independent variable showed that sex (P < 0.00001), body mass index (P = 0.0002), and HOMA (P = 0.0005), but not systolic blood pressure, diastolic blood pressure, IL-6, sTNFR1, or sTNFR2, constituted significant independent factors that explained 21% of the CBG variance (14%, 2%, and 5%, respectively). In a subsample of 120 men and 68 women, fasting serum free cortisol (calculated as the ratio fasting cortisol/CBG) was significantly associated with WHR (r = 0.24; P = 0.001), systolic (r = 0.18; P = 0.01) and diastolic (r = 0.19; P = 0.007) blood pressures, and HOMA value (r = 0.20; P = 0.005), but not with BMI or age. BMI (P < 0.0001), free cortisol (P = 0.003), and CBG (P = 0.009), but not WHR and age, contributed to 20%, 6%, and 8%, respectively, of HOMA variance in women in a multiple regression analysis. In this model only BMI (P < 0.0001) independently contributed to HOMA variance in men. These findings support the hypothesis that the CBG level is an interesting indicator for both insulin resistance and low grade inflammation. Whether the decrease in CBG levels is genetic by nature or directly associated to increased insulin and/or IL-6 merits further investigation. Nevertheless, because CBG has been shown to be expressed by the adipose tissue, decreased CBG could create locally increased cortisol disposal, with no change in circulating cortisol, and facilitate fat accumulation, insulin resistance, and type 2 diabetes.     

Regional abdominal fat distribution in lean and obese Thai type 2 diabetic women: relationships with insulin sensitivity and cardiovascular risk factors

To determine the relationships of body fat distribution and insulin sensitivity and cardiovascular risk factors in lean and obese Thai type 2 diabetic women, 9 lean and 11 obese subjects, with respective mean age 41.7 +/- 6.3 (SD) and 48.0 +/- 8.5 years, and mean body mass index (BMI) 23.5 +/- 1.8 and 30.3 +/- 3.7 kg/m2, were studied. The amount of total body fat (TBF) and total abdominal fat (AF) were measured by dual-energy x-ray absorptiometer, whereas subcutaneous (SAF) and visceral abdominal fat areas (VAF) were measured by computerized tomography (CT) of the abdomen at the L4-L5 level. Insulin sensitivity was determined by euglycemic hyperinsulinemic clamp. Cardiovascular risk factors, which included fasting and post-glucose challenged plasma glucose and insulin, systolic (SBP) and diastolic blood pressure (DBP), lipid profile, fibrinogen, and uric acid, were also determined. VAF was inversely correlated with insulin sensitivity as determined by glucose infusion rate (GIR) during the clamp, in both lean (r=-0.8821; P=.009) and obese subjects (r=-0.582; P=.078) independent of percent TBF. SAF and TBF were not correlated with GIR. With regards to cardiovascular risk factors, VAF was correlated with SBP (r=0.5279; P=.024) and DBP (r=0.6492; P=.004), fasting insulin (r=0.7256; P=.001) and uric acid (r=0.4963; P=.036) after adjustment for percent TBF. In contrast, TBF was correlated with fasting insulin (r=0.517; P=.023), area under the curve (AUC) of insulin (r=0.625; P=.004), triglyceride (TG) (r=0.668; P=.002), and uric acid (r=0.49; P=.033). GIR was not correlated with any of cardiovascular risk factors independent of VAF. In conclusion, VAF was a strong determinant of insulin sensitivity and several cardiovascular risk factors in both lean and obese Thai type 2 diabetic women.     

Relationship of Plasma IL-6 to the Metabolic Measures associated with Insulin Resistance due to Adiposity

Objectives To elucidate the relationship of plasma interleukin-6 (IL-6) to the metabolic measures associated with insulin resistance (IR) due to adiposity. Methods For a cross-sectional study, eighty normotensive men with and without obe-sity were enrolled consecutively in our health examination center. Fasting blood glucose (FBG), fasting plasma immunoreactive insulin (FIRI), HOMA-R (Homeostasis Model Assessment Insulin Resistance Index), plasma lipids (cholesterol, triglyceride, highdensity lipoprotein cholesterol), cortisol, dehydroepiandrosterone-sulfate (DHEA-S), interleukin-6 and C-reactive protein(CRP) were measured. Results Plasma levels of FIRI, triglyceride fiG), DHEA-S, CRP and HOMA-R were significantly higher inobese group with BMI over 25 than non-obese group, whereas HDL-C was significantly lower in obese group. BMI was positively correlated with FIRI, TG, hsCRP and HOMA-R, whereas negatively with HDL-C. BMI was positively correlated with plasma DHEA-S levels but not with cortisol. Plasma levels of IL-6 were positively correlated with FIRI, TG, CRP and HOMA-R but in a multiple regression analysis with IL-6, only HOMA-R and TG remained explainable variables. Conclusions Each of commonly used mea-sures of inflammatory reaction, CRP and IL-6, showed a significantly positive correlation with either FIRI or HOMA-R, suggesting associations between subclinical inflammation and obesity as the risk of type 2 diabetes mellitus.     

Circulating visfatin level is correlated with inflammation, but not with insulin resistance

OBJECTIVE: Recent studies, both in vitro and in vivo, have indicated that visfatin is one of the inflammatory cytokines, although the relationship between visfatin and insulin resistance remains inconclusive. Accordingly, we assessed the association between visfatin concentrations in serum and those of interleukin-6 (IL-6) and C-reactive protein (CRP), known as markers of systemic inflammation, and also investigated the relationship between these serum concentrations and insulin resistance. DESIGN AND METHOD: A total of 295 Japanese Americans living in Hawaii (126 men and 169 women, mean age 68.7 +/- 14.9 years) were enrolled. The serum levels of visfatin, IL-6 and CRP levels were measured, and homeostasis model assessment for insulin resistance (HOMA-IR) was calculated as a marker of insulin resistance. RESULTS: Significant positive correlations were found between serum levels of visfatin and IL-6 or CRP (r = 0.271, P < 0.001; r = 0.118, P < 0.05, respectively). Multiple regression analysis revealed that correlations between serum levels of visfatin and IL-6 or CRP remained significant after adjustments for age, sex, body mass index, per cent body fat and waist girth. There was no significant trend of the HOMA-IR for the tertiles of serum concentrations of visfatin. On the other hand, a significant trend towards increase of HOMA-IR with increasing tertile of serum concentrations, from the lowest to the highest, was observed for both IL-6 and CRP. The HOMA-IR in subjects with serum concentration of IL-6 or CRP in the highest or intermediate tertiles of IL-6 or CRP were significantly higher than that in subjects in the lowest tertile, even after adjustment for age and sex (IL-6: P < 0.001 and P < 0.001, respectively; CRP: P < 0.001 and P < 0.01, respectively). CONCLUSION: Serum visfatin levels were positively correlated with the serum levels of IL-6 and slightly related with serum levels of CRP, but not with HOMA-IR, in Japanese Americans. Our results indicate that circulating visfatin may reflect inflammation status.     

Inflammatory cardiovascular risk markers in women with hypopituitarism.

Patients with hypopituitarism have increased cardiovascular mortality. A high prevalence of conventional cardiovascular risk factors, including obesity, central fat distribution, insulin resistance, and dyslipidemia, have been described in these patients. The inflammatory markers C-reactive protein (CRP) and IL-6 are predictors of cardiovascular events, and high levels of CRP have been reported in men with hypopituitarism and GH deficiency. However, little is known about inflammatory cardiovascular risk markers in women with hypopituitarism. We therefore investigated whether inflammatory and traditional cardiovascular risk markers are elevated in women with hypopituitarism. Fifty-three women with hypopituitarism and 111 healthy control women were included in this cross-sectional study. Morning blood samples were drawn after an overnight fast. Serum was assayed for CRP, IL-6, glucose, insulin, IGF-I, triglycerides, total cholesterol, low density lipoprotein cholesterol, high density lipoprotein (HDL) cholesterol, lipoprotein(a), E2, total testosterone (total T) and free testosterone (free T), and dehydroepiandrosterone sulfate. IL-6 and CRP levels were higher in women with hypopituitarism than in healthy controls (P < 0.0001 for comparison between groups). In a multivariate model, CRP levels depended on hypopituitarism, body mass index (BMI), and estrogen use. There was an interaction between the effect of BMI and hypopituitarism on CRP levels, such that the importance of hypopituitarism in determining CRP levels disappeared at high BMIs. In a similar multivariate model, IL-6 levels depended on hypopituitarism and BMI. Total cholesterol, the total to HDL cholesterol ratio, and triglycerides were higher in hypopituitary patients, but only triglycerides and the total to HDL cholesterol ratio depended on hypopituitarism when controlling for BMI. There was no significant difference in lipoprotein(a) levels between hypopituitary women and control subjects. However, when controlling for estrogen use, lipoprotein(a) levels showed a trend toward being lower in the hypopituitary group (P = 0.075). In patients with hypopituitarism, CRP correlated negatively with IGF-I (r = -0.35; P = 0.010), total T (r = -0.42; P = 0.0020), and free T (r = -0.30; P = 0.031). Similarly, IL-6 correlated negatively with total T (r = -0.39; P = 0.0040) and androstenedione (r = -0.27; P = 0.048) in hypopituitary patients. In conclusion, hypopituitary women have increased levels of IL-6 and CRP, both of which are inflammatory markers of atherosclerosis. GH deficiency and androgen deficiency may contribute to these findings. Chronic inflammation may contribute to the high cardiovascular risk seen in this population.     

Relationship of dietary fat and serum cholesterol ester and phospholipid fatty acids to markers of insulin resistance in men and women with a range of glucose tolerance

High-fat diets are associated with insulin resistance, however, this effect may vary depending on the type of fat consumed. The purpose of this study was to determine the relationship between intakes of specific dietary fatty acids (assessed by 3-day diet records and fatty acid composition of serum cholesterol esters [CEs] and phospholipids [PLs]) and glucose and insulin concentrations during an oral glucose tolerance test (OGTT). Nineteen men and 19 women completed the study. Nine subjects had type 2 diabetes or impaired glucose tolerance. Fasting insulin correlated with reported intakes of total fat (r = .50, P < .01), monounsaturated fat (r = .44, P < .01), and saturated fat (r = .49, P < .01), but not with trans fatty acid intake (r = .11, not significant [NS]). Fasting glucose also correlated with total (r = .39, P < .05) and monounsaturated fat intakes (r = .37, P < .05). In multivariate analysis, both total and saturated fat intake were strong single predictors of fasting insulin (R2 approximately .25), and a model combining dietary and anthropometric measures accounted for 47% of the variance in fasting insulin. Significant relationships were observed between fasting insulin and the serum CE enrichments of myristic (C14:0), palmitoleic (C16:1), and dihomo-gamma-linolenic (C20:3n-6) acids. In multivariate analysis, a model containing CE 14:0 and percent body fat explained 45% of the variance in fasting insulin, and C14:0 and age explained 30% of the variance in fasting glucose. PL C20:3n-6 explained 30% of the variance in fasting insulin, and a model including PL C18:1n-11 cis, C20:3n-6, age and body fat had an R2 of .58. In conclusion, self-reported intake of saturated and monounsaturated fats, but not trans fatty acids, are associated with markers of insulin resistance. Furthermore, enhancement of dihomo-gamma-linolenic and myristic acids in serum CE and PL, presumably markers for dietary intake, predicted insulin resistance.     

Body fat and C-reactive protein levels in healthy non-obese men

BACKGROUND AND AIM: The relationships between C-reactive protein (CRP) levels, adipose tissue and metabolic alterations have not been clearly established in healthy non-obese subjects. We investigated the relationships between body fat, CRP levels and metabolic variables in healthy, non-obese sons of patients affected by metabolic syndrome (MS). METHODS AND RESULTS: Age, CRP and interleukin 6 (IL-6) levels, anthropometric measures (body mass index, BMI; waist circumference and waist-to-hip ratio, WHR), total and regional fat content (as determined by means of dual X-ray absorptiometry, DXA), total and LDL cholesterol, and the metabolic variables related to MS (HDL-cholesterol, triglyceride, glucose and insulin levels; the fasting insulin resistance index, FIRI; blood pressure) were evaluated in 85 healthy non-obese sons of MS patients. Linear and multiple regression analyses were used to evaluate the relationships between body fat, metabolic variables and CRP levels, and to investigate whether the association between body fat content and metabolic variables persists after adjustment for CRP levels. Body fat was associated with all of the investigated variables. CRP levels were associated with total and regional body fat, the anthropometric index of weight, age, and with some metabolic alterations (HDL-cholesterol and triglyceride levels, systolic blood pressure, and fasting insulin and LDL-cholesterol levels). The associations between total body fat and the metabolic variables did not change after adjustment for CRP levels. Total body fat was the best predictor of CRP levels (p<0.0001). CONCLUSIONS: In healthy, non-obese sons of MS patients, total body fat is the best predictor of CRP levels, and remains closely associated with metabolic abnormalities after adjustment for CRP levels. These findings strongly support the hypothesis that body fat is the main determinant of metabolic abnormalities and a low inflammatory state, at least in healthy subjects.     

Smoking, fat mass and activation of the tumor necrosis factor-alpha pathway

OBJECTIVE: Obesity may be associated with increased markers of inflammation that could be triggered by metabolic, physical, infectious or environmental processes. As smoking significantly increases cytokine production, we aimed to study how smoking influences the relationship between fat mass and soluble tumor necrosis factor-alpha (TNF-alpha) receptors 1 and 2 (sTNFR1 and sTNFR2). DESIGN: Cross-sectional, clinical observational study. SUBJECTS: A total of 133 healthy men (age: 27-53 y, body mass index (BMI): 24-30.2 kg/m(2)), 80 of whom were never-smokers and 53 smokers, matched for age, BMI and waist-to-hip ratio. MEASUREMENTS: Circulating soluble fractions of the TNF-alpha receptors sTNFR1 and sTNFR2 were measured to study their relationship with fat mass (bioelectric impedance). RESULTS: Smokers had significantly lower fat mass, lower fasting glucose, insulin and leptin concentrations than nonsmokers. Despite lower fat mass and insulin, smokers showed significantly increased circulating sTNFR2 levels (3.7+/-0.8 vs 3.4+/-0.7 ng/ml, P=0.03). The slopes of the relationships between sTNFR1 and fat mass, and between sTNFR2 and fat mass, were significantly steeper in smokers than in nonsmokers. In a stepwise multiple linear regression analysis, both fat mass (P<0.00001) and smoking (P=0.025) independently contributed to 13% of sTNFR1 variance and to 4% of sTNFR2 variance (P=0.03). CONCLUSION: Both fat mass and smoking are related to increased activity of the TNF-alpha axis.     

Post-heparin lipolytic enzyme activities, sex hormones and sex hormone-binding globulin (SHBG) in men and women: The HERITAGE Family Study

We tested the hypothesis that androgen, estrogen, and sex hormone-binding globulin (SHBG) levels would be significantly related to post-heparin hepatic lipase (HL) and lipoprotein lipase (LPL) activities in a sample of Caucasian men (n = 233) and women (n = 235) aged 17-64 years from the HERITAGE Family Study. Body composition (hydrostatic weighing), abdominal adipose tissue distribution (computed tomography), plasma lipid-lipoprotein and hormone levels, and post-heparin lipases activities were measured. HL activity was significantly higher in males, whereas LPL activity was higher in women (P < 0.005). In women only, HL activity was positively associated with body fat mass (r = 0.17, P < 0.05) and intra-abdominal adipose tissue area (r = 0.18, P < 0.05). Significant associations were also found between fasting insulin and LPL activity (r = -0.16, P < 0.05 and r = -0.18, P < 0.005) as well as HL activity (r = 0.22, P < 0.005, and r = 0.27, P < 0.0001) in men and women, respectively. A positive association between total testosterone and HL activity was noted in men (r = 0.13, P = 0.05). In women, plasma SHBG levels were negatively associated with HL activity (r = -0.48, P < 0.0001), and statistical adjustment for body fat mass, visceral adipose tissue area, and fasting insulin did not attenuate this correlation. In multivariate analyses with models including adiposity variables and measurements of the hormonal profile, insulin, and testosterone levels were both independent positive predictors of HL activity in men. In women, hormone use was a significant positive predictor, and SHBG level a strong negative predictor of HL activity, independent of plasma estradiol and testosterone concentrations. Fasting insulin was the only significant predictor of LPL activity in men (negative association), whereas menstrual status, fasting insulin (negative associations), and plasma SHBG levels (positive association) were all independent predictors of LPL activity in women. These results suggest that the postulated sensitivity of lipolytic enzymes to androgens and estrogens is reflected by a strong negative association between SHBG levels and HL, and a lower magnitude positive association of this hormonal parameter to LPL activity in women. These associations appear to be independent from concomitant variation in total adiposity or body fat distribution.     

The association between abdominal visceral fat and carotid stiffness is mediated by circulating inflammatory markers in uncomplicated type 2 diabetes

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.     

Associations between reactive oxygen species, blood pressure and arterial stiffness in black South Africans: the SABPA study

Many mechanisms, including oxidative stress, contribute to hypertension. This study investigated the possible associations between oxidative stress, blood pressure and arterial stiffness in black South Africans. Ambulatory blood pressure measurements were taken for 101 black South African men and 99 women. The stiffness indices included ambulatory arterial stiffness index (AASI) and pulse pressure (PP). Reactive oxygen species (ROS) levels (P<0.0001) were higher in the African women compared with men. ROS levels were also higher in hypertensive compared with normotensive men. The 24?h systolic blood pressure (SBP; P<0.01), 24?h diastolic blood pressure (DBP; P<0.0001) and pulse wave velocity (PWV; P<0.01) were significantly higher in African men compared with women. There were unadjusted positive associations of 24?h SBP (r=0.33; P=0.001), 24?h DBP (r=0.26; P=0.008) and 24?h PP (r=0.29; P=0.003) with ROS in African men only. A positive association between AASI and ROS existed only in hypertensive men (r=0.27; P=0.035), but became nonsignificant (B=0.0014; P=0.14) after adjustments. Adjusted, positive associations of 24?h SBP (B=0.181; P=0.018) and 24?h PP (B=0.086; P=0.050) with ROS were again only evident in African men. ROS is positively associated with SBP and PP in African men, suggesting that increased ROS levels may contribute to hypertension in this population group.     

Relationship between serum adiponectin and leptin concentrations and body fat distribution

The aim of this study was to investigate the relationship between adiponectin and leptin and body fat distribution. One hundred and ninety-seven women participated in this study. Subjects were grouped based on their visceral adipose tissue area (VAT). Body fat distribution was determined by computed tomography. The numbers in the subcutaneous fat dominant group (SFDG) and visceral fat dominant group (VFDG) were 79 and 118, respectively. The VFDG showed lower adiponectin levels than the SFDG (8.9+/-0.4 microg/ml versus 11.4+/-0.7 microg/ml, P=0.006), but leptin levels did not differ significantly between groups (18.8+/-1.1 ng/ml versus 17.7+/-1.8 ng/ml, P=0.111). Adiponectin levels were inversely correlated with fasting insulin, HOMA-IR, triglyceride, SBP and DBP, subcutaneous adipose tissue area (SAT) and VAT, and waist-to-hip ratio (WHR). Leptin levels were positively correlated with fasting glucose and insulin, HOMA-IR, triglyceride, SBP and DBP, VAT and SAT, and WHR (all values of P<0.05). VAT and HDL-cholesterol were independent variables of adiponectin concentrations (R(2)=0.207, P<0.0001), and SAT, fasting insulin, and HOMA-IR were independent variables of leptin concentrations (R(2)=0.498, P<0.0001) In conclusion, adiponectin and leptin concentrations, although associated with metabolic parameters, were more strongly influenced by VAT in the case of adiponectin, and by SAT in the case of leptin.     

Clinical significance of the insulin resistance index as assessed by homeostasis model assessment

To examine the clinical significance of the insulin resistance index as determined by homeostasis model assessment (HOMA-IR), we investigated the relationship between HOMA-IR and the insulin resistance estimated by the euglycemic-hyperinsulinemic clamp method in various subgroups and compared the significance of HOMA-IR with that of fasting plasma insulin levels (FIRI). HOMA-IR was significantly correlated to the inverse of the glucose infusion rate (1/GIR) in both diabetic and non-diabetic subjects (r=0.747, P<0.0001 and r=0.419, P<0.002, respectively). In the diabetic patients, treatment with sulfonylureas did not weaken this correlation (r=0.833, P<0.0001). HOMA-IR was found to be closely related to FIRI (r=0.932, P<0.0001), but HOMA-IR was more closely associated with 1/GIR than FIRI was. HOMA-IR as well as 1/GIR was correlated with the visceral fat area (VFA) more closely than with the subcutaneous fat area (SFA), while FIRI was correlated almost equally with both of them. In conclusion, HOMA-IR is a convenient and beneficial method for evaluating insulin resistance, especially in subjects with visceral fat accumulation, and reflects insulin resistance obtained by euglycemic clamp more accurately than FIRI alone.     

Associations between the fatty acid content of triglyceride, visceral adipose tissue accumulation, and components of the insulin resistance syndrome

Many factors are involved in the development of the insulin resistance syndrome, such as visceral obesity and the type of dietary fat. The main purpose of this study was to investigate the relationships between fatty acid content of triglyceride (TG), visceral adipose tissue (AT) accumulation, and metabolic components of the insulin resistance syndrome in a group of 97 Caucasian men with a mean age of 45.1 +/- 7.2 years (29 to 63 years). To reach these objectives, Spearman correlations, group comparisons, and stepwise multiple regression analyses were performed. The proportion of palmitic acid (16:0) in the TG fraction was positively associated with plasma fasting insulin (r =.25, P =.03), diastolic (r =.45, P <.001), and systolic (r =.29, P =.003) blood pressure. On the other hand, the proportion of alpha-linolenic acid (18:3n-3) was associated negatively with apolipoprotein (apo) B (r = -.29, P =.005) and positively with low-density lipoprotein (LDL) diameter (r =.29, P =.007), while the proportion of gamma-linolenic acid (18:3n-6) was associated negatively with plasma TG (r = -.33, P =.003), diastolic (r = -.29, P =.01), and systolic (r = -.35, P =.002) blood pressure and plasma fasting insulin (r = -.37, P =.0005) and positively with high-density lipoprotein (HDL)(2)-cholesterol (r =.27, P =.01) and LDL diameter (r =.25, P =.02). Stepwise multiple regression analyses were conducted to determine the contribution of visceral AT, body fat mass, and the fatty acid content of TG to the variance of metabolic variables studied. It was found that visceral AT contributed significantly to the variance in plasma TG (R(2) = 20.7%, P <.0001), apo B (R(2) = 9.0%, P =.007), HDL(2)-cholesterol (R(2) = 17.9%, P <.0001), LDL diameter (R(2) = 4.9%, P =.02), and area under the glucose curve (AUC-glucose) (R(2) = 8.2%, P =.006). On the other hand, body fat mass contributed significantly to the variance in fasting insulin (R(2) = 19.7%, P <.0001) and diastolic (R(2) = 6.8%, P =.007) and systolic (R(2) = 10.5%, P =.01) blood pressure. At least one fatty acid made a significant contribution to the variance of each metabolic variable studied. In fact, the proportion of 18:3n-6 contributed significantly to the variance in both TG (R(2) = 8.9%, P = 0.007) and HDL(2)-cholesterol (R(2) = 6.0%, P =.01). Moreover, 18:3n-3 contributed to the variance of apo B (R(2) = 7.0%, P =.02), while 18:3n-6 made the largest contribution to the variance of LDL diameter (R(2) = 7.6%, P =.02). Finally, 16:0 significantly contributed to the variance of AUC-glucose (R(2) = 11.4%, P =.0003), diastolic (R(2) = 25.2%, P <.0001), and systolic (R(2) = 6.8%, P =.002) blood pressure. In summary, results of this study suggest that the fatty acid content of TG is associated with many metabolic variables of the insulin resistance syndrome independently of body fat mass or visceral AT accumulation.     

C-reactive protein before and after weight loss in overweight women with and without polycystic ovary syndrome

BACKGROUND: Polycystic ovary syndrome (PCOS) is associated with reproductive and metabolic abnormalities. It is unknown whether overweight women with and without PCOS achieve similar benefits from weight loss for cardiovascular risk factors. METHOD: Overweight body mass index-matched women with (n = 15) and without (n = 17) PCOS (weight, 95.3 +/- 17.6 kg; body mass index, 35.6 +/- 5.3 kg/m(2), mean +/- sd) followed an 8-wk weight loss regime. RESULTS: All subjects had similar reductions in weight (3.9 +/- 3.6 kg, 3.8%, vs. 4.5 +/- 4.1 kg, 4.7%, respectively, for PCOS and non-PCOS), waist circumference, fat mass, triglycerides, free testosterone, and fasting and postprandial insulin. At baseline, C-reactive protein (CRP) between groups was not significantly different (5.5 +/- 3.1 mg/liter for PCOS vs. 4.9 +/- 3.0 mg/liter for non-PCOS). There was a significant interaction between PCOS status and CRP (P = 0.016) such that CRP decreased with weight loss for non-PCOS women (-1.2 +/- 1.8 mg/liter; P = 0.025) but not for PCOS women. For all women, the change in CRP correlated with the change in weight (r = 0.560; P = 0.003), fat mass (r = 0.477; P = 0.016), and postprandial insulin (r = 0.402; P = 0.046). Adiponectin, IL-6, and TNF-alpha were not significantly different between groups before or after weight loss. Only subjects with baseline CRP levels below the median (4.52 mg/liter) showed increases in adiponectin (0.98 +/- 1.3 microg/liter) (P = 0.015) and greater reductions in triglycerides (P = 0.001) with weight loss. CONCLUSION: A 4-5% weight loss improved lipid, glucose, and insulin profiles in women with and without PCOS. This degree of weight loss was not effective in lowering CRP concentrations in PCOS women, suggesting that greater weight loss is required in this group to achieve equivalent cardiovascular benefit to non-PCOS women.     

Body fat is the main predictor of fibrinogen levels in healthy non-obese men

Previous studies have demonstrated that circulating levels of C-reactive protein (CRP), a marker of cardiovascular risk, are strictly related to body fatness. Elevated fibrinogen levels are also predictive of future cardiovascular events. The metabolic background of this relationship and the predictors of fibrinogen levels have not been well established. We aimed to evaluate whether fibrinogen levels are associated with body fat content and distribution and to determine the independent predictors of fibrinogen levels in a sample of healthy, non-obese, nonsmoking young adult men. Age, anthropometric measures (body mass index [BMI], waist-to-hip ratio [WHR]), total and regional fat content (determined by dual x-ray absorptiometry [DXA]), metabolic variables (total cholesterol [T-Chol], low-density lipoprotein cholesterol [LDL-C], and high-density lipoprotein cholesterol [HDL-C]; triglycerides [TG]; glucose and insulin levels; fasting insulin resistance index [FIRI]; blood pressure), interleukin-6 (IL-6), and acute-phase reactants levels (fibrinogen, highly sensitive [hs]-CRP) were determined in 87 healthy nonsmoking, non-obese subjects. Linear regression analysis was used to evaluate the association between body fat, fibrinogen, and metabolic variables, and multiple regression model analysis was used to examine the independent predictors of fibrinogen levels. Eighty-seven (30.5 +/- 3.5 years) non-obese (mean BMI 24.1 +/- 3.5) men were studied. Fibrinogen levels were strongly associated with measures of body fat and with metabolic variables. Total body fat (P < .0001) and LDL-cholesterol (P < .01) were the independent predictors of fibrinogen levels, accounting for 29.5% and 10.9% of its variance, respectively. Total body fat was the best independent predictor of hs-CRP levels, accounting for 32.5 % of its variance. We conclude that in healthy, non-obese subjects, body fat content is the main predictor of fibrinogen levels, as well of hs-CRP levels. These findings support the speculation that there is a direct mechanism by which adipose tissue might regulate the levels of circulating acute-phase reactants.     

Plasma oestrone-fatty acid ester levels are correlated with body fat mass in humans

OBJECTIVE: The metabolites of steroidal hormones, including sulphate, glucuronide, and fatty acid (FA) ester derivatives, have received little attention, although these steroid derivatives are essential components in the global assessment of steroid metabolism. The study of FA-derivatives could, in obesity, contribute some insights into factors modulating steroid metabolism and their plasma levels. In a recent study we found that, in rats, an oestrone-fatty acid ester (E1-FA) was produced by white adipose tissue and released into lipoproteins in the blood-stream. We have examined whether E1-FA levels correlate with body fat and insulin sensitivity in humans. SUBJECTS: A sample of 20 men and 22 women with varying levels of total body fat (mean body mass index (BMI) 29.2 +/- 4.7, range 22.2-35.8 in men; mean BMI 27.6 +/- 6.3, range 16.8-37.9 in women). All participants were healthy. MEASUREMENTS: We measured oestrone fatty acid esters (E1-FA), body fatness, and body fat distribution variables, as well as insulin sensitivity through a frequently sampled intravenous glucose tolerance test. Plasma E1-FA and serum leptin levels were measured by radioimmunoassay. RESULTS: E1-FA levels strongly correlated with BMI (r = 0.69, P = 0.001 in men; r = 0.75, P < 0.0001, in women) percent body fat (PBF, r = 0.52. P = 0.018 in men; and r = 0.69, P < 0.0001, in women) and with the sum of 4 fat skinfolds (sigma skinfolds). E1-FA level was significantly and positively associated with fasting insulin (r = 0.62, P = 0.003 in men, and r = 0.48, P = 0.023 in women) but not with fasting glucose levels. E1-FA correlated with insulin sensitivity (SI, r = -0.72 in men; and -0.76, in women, both P < 0.0001). In men, E1-FA levels also correlated with systolic blood pressure (r = 0.59, P = 0.01), total triglycerides (r = 0.63, P = 0.003), VLDL-triglycerides (r = 0.62, P = 0.004) and VLDL-cholesterol (r = 0.48, P = 0.03), but not with diastolic blood pressure, serum total or LDL-cholesterol, or total and HDL2 and HDL3 subfractions of HDL cholesterol. After controlling for fat mass, only the correlation between VLDL-triglycerides and E1-FA levels remained significant. In women, E1-FA levels correlated with total triglycerides (r = 0.66, P = 0.001), VLDL-triglycerides (r = 0.65, P = 0.001), VLDL-cholesterol (r = 0.63, P = 0.002), LDL-cholesterol (r = 0.57, P = 0.005) and total and HDL2 and HDL3 subfractions of HDL cholesterol (r = -0.58, -0.48, -0.61, P = 0.004, 0.02 and 0.002, respectively), but not with systolic or diastolic blood pressure or total cholesterol. However, covariance analysis revealed that controlling for the concomitant variation in body fat mass eliminated all these associations. Fasting plasma E1-FA concentration correlated with serum leptin (r = 0.60, P = 0.005 in men; r = 0.75, P = 0.0001, in women). However, these correlations no longer persisted after controlling for fat mass (r = 0.33 and 0.36, P = NS). Stepwise regression analysis models were tested, with E1-FA as the dependent variable, and sigma skinfolds and SI as independent covariables. Both the sigma skinfolds (P = 0.03) and SI (P = 0.01) entered the equation at a statistically significant level in men. Therefore, insulin sensitivity was related to E1-FA independently of fat in men. In women only sigma skinfolds (P = 0.04) entered the regression model at a statistically significantly level. Fifty-seven percent of the variance in plasma E1-FA levels in men, and 50% in women, was accounted for using a regression model that combined these variables. CONCLUSIONS: Oestrone-fatty acid esters circulate in human blood in proportion to body fat, independently of gender. Plasma oestrone-fatty acid ester levels are associated with insulin sensitivity in men, independently of body fat. These findings may widen our perspective on the regulation of insulin action and control of body weight.     

Relation between leptin and the metabolic syndrome in elderly women

BACKGROUND: Leptin has been shown to be linked to adiposity and insulin resistance in middle-aged participants. However, the association between leptin and metabolic syndrome independently of body fat and body fat distribution has not been evaluated in healthy elderly people. METHODS: We studied the independent relation between leptin and the components of the metabolic syndrome in 107 women aged 67-78 years with body mass index (BMI) ranging from 18.19 to 36.16 kg/m2. In all participants, we evaluated BMI, waist and hip circumferences, body composition by dual energy X-ray absorptiometry, fasting, and 2-hour glucose, lipids, insulin, homeostasis model assessment of insulin resistance (HOMA), systolic (SBP), diastolic blood pressure (DBP), and leptin. RESULTS: Significant correlation was found between leptin, BMI, waist circumference, fat mass, DBP, SBP, cholesterol, triglycerides, insulin, and HOMA. After adjusting for age and waist circumference, as well for age and fat mass, leptin was significantly related to insulin levels, HOMA, and cholesterol. In a stepwise multiple regression analysis using insulin levels or HOMA as dependent variables and age, waist circumference, fat mass, leptin, SBP, DBP, cholesterol, and triglycerides as independent variables, leptin entered the regression first, waist circumference second, and age third. CONCLUSION: Our study shows that leptin is significantly related to indices of adiposity in elderly women, and leptin is significantly associated with insulin levels, HOMA, and cholesterol independent of age, body fat, and fat distribution. Leptin, waist circumference, and age together explained 31% and 33% of insulin levels and HOMA variance, respectively, in healthy elderly women.     

IL-18对大鼠非酒精性脂肪肝病形成的作用

目的: 分析在高脂饮食诱发大鼠非酒精性脂肪肝病(NAFLD)形成过程中胰岛素抵抗(IR)与IL-18之间的相关性,并探讨IL-18对大鼠NAFLD形成的作用.方法: 将48只♂SD大鼠随机分为正常饮食组(NG)及高脂饮食组(FG),各24只,喂养至第2、4、6、8周末时,2组各随机抽取6只,抽取门静脉血测空腹血糖(FBS)、空腹胰岛素(FINS),计算空腹胰岛素抵抗指数(FIRI);检测血清及肝组织匀浆IL-18浓度;光镜检查肝组织切片以评价肝脏脂肪变性程度.结果: FG第4周末开始出现IR,血清及肝组织匀浆IL-18均随喂养时间的延长逐渐升高,各期均高于NG,肝组织匀浆IL-18在第2、4、6、8周末均与同期NG比较均有统计学差异均P<0.05),而血清IL-18是第4、6、8周末与同期NG比较均有统计学差异(均P<0.05). FINS、FIRI、血清及肝组织匀浆IL-18均与肝脂肪变性呈正相关( r = 0.951,0.971,0.950,0.937,均P<0.05). 血清IL-18与FINS、FIRI及肝组织匀浆IL-18与FINS、FIRI均成正相关( r = 0.951,0.933,0.929,0.913,均P<0.05).结论: IR在高脂饮食诱发的NAFLD的发生发展中有重要作用,IL-18与IR形成有关,并与NAFLD的形成相关联.