Metabolite Profiles and the Risk of Developing Diabetes

Nat Med. 2011 Apr;17(4):448-53. doi: 10.1038/nm.2307. Epub 2011 Mar 20.

Abstract

Emerging technologies allow the high-throughput profiling of metabolic status from a blood specimen (metabolomics). We investigated whether metabolite profiles could predict the development of diabetes. Among 2,422 normoglycemic individuals followed for 12 years, 201 developed diabetes. Amino acids, amines and other polar metabolites were profiled in baseline specimens by liquid chromatography-tandem mass spectrometry (LC-MS). Cases and controls were matched for age, body mass index and fasting glucose. Five branched-chain and aromatic amino acids had highly significant associations with future diabetes: isoleucine, leucine, valine, tyrosine and phenylalanine. A combination of three amino acids predicted future diabetes (with a more than fivefold higher risk for individuals in top quartile). The results were replicated in an independent, prospective cohort. These findings underscore the potential key role of amino acid metabolism early in the pathogenesis of diabetes and suggest that amino acid profiles could aid in diabetes risk assessment.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Amino Acids, Aromatic / blood
  • Amino Acids, Branched-Chain / blood
  • Biomarkers / blood
  • Case-Control Studies
  • Causality
  • Cohort Studies
  • Diabetes Mellitus / blood*
  • Diabetes Mellitus / etiology*
  • Female
  • Humans
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Metabolome*
  • Middle Aged
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Factors
  • Tandem Mass Spectrometry

Substances

  • Amino Acids, Aromatic
  • Amino Acids, Branched-Chain
  • Biomarkers