Validation of a novel index to assess insulin resistance of adipose tissue lipolytic activity in obese subjects

Caterina Conte, E Fabbrini, F Magkos, B Mittendorfer, Bw Patterson, Al Okunade, S. Klein

Risultato della ricerca: Contributo in rivistaArticolo in rivista

24 Citazioni (Scopus)

Abstract

Insulin resistance in adipose tissue increases the release of free fatty acids into the circulation, which likely contributes to impaired insulin action in liver and skeletal muscle associated with obesity. However, reliable assessment of adipose tissue insulin resistance requires performing a hyperinsulinemic-euglycemic clamp procedure in conjunction with a fatty acid tracer infusion to determine insulin-mediated suppression of lipolytic rate. We developed a simpler method for evaluating adipose tissue insulin resistance in vivo, determined as the product of palmitate rate of appearance into the bloodstream and plasma insulin concentration during basal conditions. We validated our Adipose Tissue Insulin Resistance Index (ATIRI) by comparison with an assessment of adipose tissue insulin resistance determined by using the hyperinsulinemic-euglycemic clamp procedure in conjunction with a palmitate tracer infusion in 47 obese nondiabetic subjects (body mass index: 40.1 ± 9.3 kg/m(2)). We found the ATIRI correlated closely with adipose tissue insulin resistance assessed during the clamp procedure (r =-0.854, P < 0.001). These results demonstrate that the ATIRI provides a reliable index of adipose tissue insulin resistance in obese subjects.
Lingua originaleEnglish
pagine (da-a)321-324
Numero di pagine4
RivistaJournal of Lipid Research
Volume53
DOI
Stato di pubblicazionePubblicato - 2012

Keywords

  • Adipose Tissue
  • Adult
  • Body Mass Index
  • Female
  • Glucose Clamp Technique
  • Humans
  • Insulin Resistance
  • Male
  • Middle Aged
  • Obesity
  • Palmitates

Fingerprint Entra nei temi di ricerca di 'Validation of a novel index to assess insulin resistance of adipose tissue lipolytic activity in obese subjects'. Insieme formano una fingerprint unica.

Cita questo