Comparison between surrogate indexes of insulin sensitivity and resistance and hyperinsulinemic euglycemic clamp estimates in mice

S Lee, R Muniyappa, XU Yan, H Chen… - American Journal …, 2008 - journals.physiology.org
S Lee, R Muniyappa, XU Yan, H Chen, LQ Yue, EG Hong, JK Kim, MJ Quon
American Journal of Physiology-Endocrinology and Metabolism, 2008journals.physiology.org
Insulin resistance contributes to the pathophysiology of diabetes, obesity, and their
cardiovascular complications. Mouse models of these human diseases are useful for
gaining insight into pathophysiological mechanisms. The reference standard for measuring
insulin sensitivity in both humans and animals is the euglycemic glucose clamp. Many
studies have compared surrogate indexes of insulin sensitivity and resistance with glucose
clamp estimates in humans. However, regulation of metabolic physiology in humans and …
Insulin resistance contributes to the pathophysiology of diabetes, obesity, and their cardiovascular complications. Mouse models of these human diseases are useful for gaining insight into pathophysiological mechanisms. The reference standard for measuring insulin sensitivity in both humans and animals is the euglycemic glucose clamp. Many studies have compared surrogate indexes of insulin sensitivity and resistance with glucose clamp estimates in humans. However, regulation of metabolic physiology in humans and rodents differs and comparisons between surrogate indexes and the glucose clamp have not been directly evaluated in rodents previously. Therefore, in the present study, we compared glucose clamp-derived measures of insulin sensitivity (GIR and SIClamp) with surrogate indexes, including quantitative insulin-sensitivity check index (QUICKI), homeostasis model assessment (HOMA), 1/HOMA, log(HOMA), and 1/fasting insulin, using data from 87 mice with a wide range of insulin sensitivities. We evaluated simple linear correlations and performed calibration model analyses to evaluate the predictive accuracy of each surrogate. All surrogate indexes tested were modestly correlated with both GIR and SIClamp. However, a stronger correlation between body weight per se and both GIR and SIClamp was noted. Calibration analyses of surrogate indexes adjusted for body weight demonstrated improved predictive accuracy for GIR [e.g., R = 0.68, for QUICKI and log(HOMA)]. We conclude that linear correlations of surrogate indexes with clamp data and predictive accuracy of surrogate indexes in mice are not as substantial as in humans. This may reflect intrinsic differences between human and rodent physiology as well as increased technical difficulties in performing glucose clamps in mice.
American Physiological Society