Abstract

The goal of this study was to define the relationship between a quantitative measure of the ability of physiological hyperinsulinemia to stimulate glucose disposal and several surrogate measures of insulin resistance.Insulin-mediated glucose disposal was quantified in 490 healthy nondiabetic volunteers by determining the steady-state plasma glucose (SSPG) concentration in response to a continuous infusion of somatostatin, insulin, and glucose. Because the steady-state plasma insulin concentration was similar in all subjects during the infusion (approximately 60 microU/ml), the SSPG concentration provided a direct estimate of insulin-mediated glucose disposal. Relationships between this specific measure of insulin resistance and several surrogate estimates of insulin resistance based on plasma glucose and insulin concentrations were then defined.The surrogate measure of insulin resistance most closely related to the direct determination of insulin action was the total integrated insulin response to a 75-g oral glucose challenge with correlation coefficients (r) varying from 0.67 to 0.79. Fasting plasma insulin concentration was significantly correlated (r = 0.61, P<0.001) to the specific estimate of insulin action. Two other surrogate estimates of insulin action, the ratio of fasting glucose-to-fasting insulin concentration and the homeostasis model assessment for insulin resistance, were no more closely related to SSPG than the fasting plasma insulin concentration.The total integrated insulin response to oral glucose is the best surrogate measure of insulin resistance, accounting for approximately two-thirds of the variability in insulin-mediated glucose disposal. Fasting insulin concentration accounted for approximately one-third of the variability in insulin-mediated glucose disposal, and the use of fasting plasma glucose and insulin concentrations to calculate more sophisticated estimates of insulin resistance appears to offer little advantage over the fasting plasma insulin concentration. Given the large number of nondiabetic individuals in this study, the results should have general application in population-based studies, providing evidence for both the utility and limitation of the use of these surrogate measures.

View details for Web of Science ID 000085037300008

View details for PubMedID 10868826