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Pubertal changes in HOMA and QUICKI: relationship to hepatic and peripheral insulin sensitivity

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Abstract:

Hoffman RP, Vicini P, Cobelli C. Pubertal changes in HOMA and QUICKI: relationship to hepatic and peripheral insulin sensitivity. Abstract:  Background: 

Homeostasis model assessment (HOMA) and quantitative insulin-sensitivity check index (QUICKI) are measures of insulin resistance and insulin sensitivity derived from fasting glucose (FG) and insulin levels. They thus should reflect, in principle, insulin action on both the liver and the periphery. Methods: 

Twenty-three prepubertal and early pubertal adolescents were studied at baseline and after 6 months, using the frequently sampled intravenous glucose tolerance test (IVGTT) with labeled glucose. Total body insulin sensitivity (SI) was calculated using the minimal model and total glucose concentrations. Peripheral insulin sensitivity (SI*) was calculated from labeled glucose concentrations. Hepatic insulin resistance (HIR) was calculated by multiplying glucose production over the last hour by the average insulin level. HOMA and QUICKI were calculated from the fasting glucose and insulin values. Results: 

HOMA, QUICKI fasting insulin, and glucose to insulin ratio were all significantly related to SI (p < 0.05) but were not independently related to SI* or HIR. Multiple linear regression analysis revealed that both SI* and HIR independently predicted HOMA and fasting glucose (p < 0.1). QUICKI, fasting insulin, and glucose to insulin ratio were not independently related to SI, SI*, or HIR. Conclusions: 

HOMA and fasting insulin reflect total body insulin sensitivity and HIR but not peripheral insulin sensitivity in prepubertal and early pubertal adolescents.

Keywords: glucose; insulin; insulin resistance; models biological; puberty

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1399-543X.2004.00050.x

Affiliations: 1: Department of Pediatrics, the Ohio State University College of Medicine and Public Health, Columbus, OH; 2: Department of Bioengineering, University of Washington; Seattle, WA, USA; and 3: Department of Electronics and Informatics, University of Padua, Padua, Italy

Publication date: September 1, 2004

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