Early metabolic markers identify potential targets for the prevention of type 2 diabetes.

ABSTRACT:

Aims/hypothesis

The aims of this study were to evaluate systematically the predictive power of comprehensive metabolomics profiles in predicting the future risk of type 2 diabetes, and to identify a panel of the most predictive metabolic markers.

Methods

We applied an unbiased systems medicine approach to mine metabolite combinations that provide added value in predicting the future incidence of type 2 diabetes beyond known risk factors. We performed mass spectrometry-based targeted, as well as global untargeted, metabolomics, measuring a total of 568 metabolites, in a Finnish cohort of 543 non-diabetic individuals from the Botnia Prospective Study, which included 146 individuals who progressed to type 2 diabetes by the end of a 10 year follow-up period. Multivariate logisti

SUBMITTER: Peddinti G 

PROVIDER: S-EPMC5552834 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature