Predictive models of insulin resistance derived from simple morphometric and biochemical indices related to obesity and the metabolic syndrome in baboons.

BACKGROUND: Non-human primates are valuable models for the study of insulin resistance and human obesity. In baboons, insulin sensitivity levels can be evaluated directly with the euglycemic clamp and is highly predicted by adiposity, metabolic markers of obesity and impaired glucose metabolism (i.e. percent body fat by DXA and HbA1c). However, a simple method to screen and identify obese insulin resistant baboons for inclusion in interventional studies is not available. METHODS: We studied a population of twenty baboons with the euglycemic clamp technique to characterize a population of obese nondiabetic, insulin resistant baboons, and used a multivariate linear regression analysis (adjusted for gender) to test different predictive models of insulin sensitivity (insulin-stimulated glucose uptake = Rd) using abdominal circumference and fasting plasma insulin. Alternatively, we tested in a separate baboon population (n = 159), a simpler model based on body weight and fasting plasma glucose to predict the whole-body insulin sensitivity (Rd/SSPI) derived from the clamp. RESULTS: In the first model, abdominal circumference explained 59% of total insulin mediated glucose uptake (Rd). A second model, which included fasting plasma insulin (log transformed) and abdominal circumference, explained 64% of Rd. Finally, the model using body weight and fasting plasma glucose explained 51% of Rd/SSPI. Interestingly, we found that percent body fat was directly correlated with the adipocyte insulin resistance index (r = 0.755, p < 0.0001). CONCLUSION: In baboons, simple morphometric measurements of adiposity/obesity, (i.e. abdominal circumference), plus baseline markers of glucose/lipid metabolism, (i.e. fasting plasma glucose and insulin) provide a feasible method to screen and identify overweight/obese insulin resistant baboons for inclusion in interventional studies aimed to study human obesity, insulin resistance and type 2 diabetes mellitus.

Low levels of 25(OH)D and insulin-resistance: 2 unrelated features or a cause-effect in PCOS?

BACKGROUND & AIMS: Recent investigations have identified low vitamin D status as a hypothetical mechanism of insulin-resistance in Polycystic Ovary Syndrome (PCOS). Instead, some authors supported the hypothesis that low vitamin D levels and insulin-resistance are 2 unrelated features of body size in PCOS. Hence, we aimed to explore the association of 25-hydroxyvitamin D (25(OH)D) with anthropometric, metabolic and hormonal features in PCOS. METHODS: We assessed the association of low 25(OH)D levels with endocrine parameters, insulin-sensitivity evaluated by hyperinsulinemic euglycemic clamp (HEC) and body composition measured by DEXA in 38 women affected by PCOS. RESULTS: Low 25(OH)D (25(OH)D < 50 nmo/L) was detected in 37% of the entire cohort of patients. Body Mass Index (BMI), in particular total fat mass (p < 0.001), resulted to be the most predictor factor of 25(OH)D levels whereas Sex Hormone Binding Globulin (SHBG), Free Androgen Index (FAI), glucose uptake and fat free mass were not. CONCLUSIONS: Our data demonstrated that in PCOS low 25(OH)D levels are significantly determined by the degree of adiposity.