Plasma metabolites predict both insulin resistance and incident type 2 diabetes: a metabolomics approach within the Prevencion con Dieta Mediterranea (PREDIMED) study.

ABSTRACT:

Background

Insulin resistance is a complex metabolic disorder and is often associated with type 2 diabetes (T2D).

Objectives

The aim of this study was to test whether baseline metabolites can additionally improve the prediction of insulin resistance beyond classical risk factors. Furthermore, we examined whether a multimetabolite model predicting insulin resistance in nondiabetics can also predict incident T2D.

Methods

We used a case-cohort study nested within the Prevención con Dieta Mediterránea (PREDIMED) trial in subsets of 700, 500, and 256 participants without T2D at baseline and 1 and 3 y. Fasting plasma metabolites were semiquantitatively profiled with liquid chromatography-tandem mass spectrometry. We assessed associations between metabolite concentrations an

SUBMITTER: Papandreou C 

PROVIDER: S-EPMC7307433 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature