Unknown

Dataset Information

Plasma metabolites associated with homeostatic model assessment of insulin resistance: metabolite-model design and external validation.


ABSTRACT: Different plasma metabolites have been related to insulin resistance (IR). However, there is a lack of metabolite models predicting IR with external validation. The aim of this study is to identify a multi-metabolite model associated to the homeostatic model assessment (HOMA)-IR values. We performed a cross-sectional metabolomics analysis of samples collected from overweight and obese subjects from two independent studies. The training step was performed in 236 subjects from the SATIN study and validated in 102 subjects from the GLYNDIET study. Plasma metabolomics profile was analyzed using three different approaches: GC/quadrupole-TOF, LC/quadrupole-TOF, and nuclear magnetic resonance (NMR). Associations between metabolites and HOMA-IR were assessed using elastic net regression analysis w

SUBMITTER: Hernandez-Alonso P 

PROVIDER: S-EPMC6761105 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature