Serum metabolomic profile of incident diabetes.

ABSTRACT:

Aims/hypothesis

Metabolomic profiling offers the potential to reveal metabolic pathways relevant to the pathophysiology of diabetes and improve diabetes risk prediction.

Methods

We prospectively analysed known metabolites using an untargeted approach in serum specimens from baseline (1987-1989) and incident diabetes through to 31 December 2015 in a subset of 2939 Atherosclerosis Risk in Communities (ARIC) study participants with metabolomics data and without prevalent diabetes.

Results

Among the 245 named compounds identified, seven metabolites were significantly associated with incident diabetes after Bonferroni correction and covariate adjustment; these included a food additive (erythritol) and compounds involved in amino acid metabolism [isoleucine, leucine, valine

SUBMITTER: Rebholz CM 

PROVIDER: S-EPMC5878141 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature