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Biomarkers for predicting type 2 diabetes development—Can metabolomics improve on existing biomarkers?

10 Jul 2017

Abstract excerpt

AIM: 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. METHODS: Gas chromatography-tandem mass spectrometry metabolomics was used in a nested case-control study based on a screening sample of 64-year-old Caucasian women (n = 629). Candidate metabolic markers of T2D were identified in...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 28692646
DOI: 10.1371/journal.pone.0177738

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