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Context: Insulin resistance is associated with multiple complex diseases; however, precise measures of insulin resistance are invasive, expensive, and time-consuming. Objective: Develop estimation models for measures of insulin resistance, including insulin sensitivity index (SI) and homeostatic model assessment of insulin resistance (HOMA-IR) from metabolomics data. Design: Insulin Resistance Atherosclerosis Family Study (IRASFS). Setting: Community based. Participants: Mexican Americans (MA) and African Americans (AA). Main outcome: Estimation models for measures of insulin resistance, i.e. SI and HOMA-IR. Results: Least Absolute Shrinkage and Selection Operator (LASSO) and Elastic Net regression were used to build insulin resistance estimation models from 1274 metabolites combined with clinical data, e.g. age, sex, body mass index (BMI). Metabolite data were transformed using three approaches, i.e. inverse normal transformation, standardization, and Box Cox transformation. The analysis was performed in one MA recruitment site (San Luis Valley, Colorado (SLV); N = 450) and tested in another MA recruitment site (San Antonio, Texas (SA); N = 473). In addition, the two MA recruitment sites were combined and estimation models tested in the AA recruitment sample (Los Angeles, California; N = 495). Estimated and empiric SI were correlated in the SA (r2 = 0.77) and AA (r2 = 0.74) testing datasets. Further, estimated and empiric SI were consistently associated with BMI, low-density lipoprotein cholesterol (LDL), and triglycerides. We applied similar approaches to estimate HOMA-IR with similar results. Conclusions: We have developed a method for estimating insulin resistance with metabolomics data that has the potential for application to a wide range of biomedical studies and conditions. [ABSTRACT FROM AUTHOR]

Objective: The objective of this study was to compare insulin resistance relative to body fat and the associated compensatory responses in 57 healthy children living in Los Angeles, California (14 Caucasians, 15 African-Americans, and 28 Hispanics).Research Design and Methods: Insulin sensitivity and acute insulin response were determined by intravenous glucose tolerance test. Insulin secretion, hepatic insulin extraction, and insulin clearance were estimated by C-peptide and insulin modeling.Results: Insulin sensitivity was significantly lower in Hispanics and African-Americans compared with Caucasian children, and acute insulin response was significantly higher in African-American children. No ethnic differences were noted in the first-phase secretion, but second-phase insulin secretion was significantly higher in Hispanic children than in African-American children (200 +/- 53 vs. 289 +/- 41 nmol/min; P = 0.03). The greater acute insulin response in African-Americans, despite lower secretion, was explained by a lower hepatic insulin extraction in African-Americans compared with Hispanics (36.6 +/- 2.9 vs. 47.3 +/- 2.2%; P = 0.0006).Conclusions: In conclusion, Hispanic and African-American children are more insulin resistant than Caucasian children, but the associated compensatory responses are different across ethnic groups. [ABSTRACT FROM AUTHOR]

Central adiposity is highly correlated with insulin resistance, which is an important risk factor for type 2 diabetes and other chronic diseases. However, in normal individuals, central adiposity can be tolerated for many years without development of impaired glucose tolerance or diabetes. Here we examine longitudinally the mechanisms by which glucose tolerance can be maintained in the face of substantial insulin resistance. Normal dogs were fed a diet enriched with moderate amounts of fat (2 g x kg(-1) x day(-1)), similar to that seen in modern "cafeteria" diets, and the time course of metabolic changes in these animals was examined over 12 weeks. Trunk adiposity as assessed by magnetic resonance imaging increased from 12 to 19%, but body weight remained unchanged. Insulin sensitivity (SI) as determined by frequently sampled intravenous glucose tolerance tests was measured over a 12-week period. SI decreased 35% by week 1 and remained impaired for the entire 12 weeks. Intravenous glucose tolerance was reduced transiently for 1 week, recovered to baseline, and then again began to decline after 8 weeks. First-phase insulin response began to increase after week 2, peaked by week 6 (190% of basal), and then declined. The increase in insulin response was due partially to enhanced beta-cell function (22%) but due also to an approximately 50% reduction in insulin clearance. This compensation by insulin clearance was also confirmed with insulin clamps performed in fat-fed versus control dogs. The present study confirms the ability of the normal individual to compensate for fat-induced insulin resistance by enhanced insulin response, such that the product of insulin sensitivity x secretion is little changed. However, the compensation is due as much to reduced insulin clearance as increased beta-cell sensitivity to glucose. Reduced hepatic extraction of insulin may be the first line of defense providing a higher proportion of secreted insulin to the periphery and sparing the beta-cells during compensation for the insulin-resistant state. [ABSTRACT FROM AUTHOR]