Biomarkers for predicting type 2 diabetes development-Can metabolomics improve on existing biomarkers?
Journal article, 2017

The aim was to determine if metabolomics could be used to build a predictive model for type 2 diabetes (T2D) risk that would improve prediction of T2D over current risk markers.

Author

Otto Savolainen

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Björn Fagerberg

University of Gothenburg

Mads Vendelbo Lind

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Ann-Sofie Sandberg

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Alastair Ross

Chalmers, Biology and Biological Engineering, Food and Nutrition Science

Göran Bergström

University of Gothenburg

PLoS ONE

1932-6203 (ISSN)

Vol. 12 7 e0177738- e0177738

Subject Categories

Endocrinology and Diabetes

Clinical Medicine

Nutrition and Dietetics

Infrastructure

Chalmers Infrastructure for Mass spectrometry

Roots

Basic sciences

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.1371/journal.pone.0177738

PubMed

28692646

More information

Created

10/7/2017