Metabolite Profiles and the Risk of Developing Diabetes
By Thomas J. Wang, Martin G. Larson, Ramachandran S. Vasan, Susan Cheng, E. Rhee, Elizabeth L. McCabe, G. Lewis, Caroline S. Fox, P. Jacques, C. Fernandez and 8 more. Nature Medicine, 2011
3,021 citations recorded by the source corpus.
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.
Subfields: Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/23f36b646344d2f432b5f06da5dc84d539b514d5
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Citations in the corpus
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- Metabolomics and isotope tracing (2018, background): “This revealed that amodest increase (30%) in the concentrations of branched-chain amino acids (BCAAs: leucine, isoleucine, valine) predicts future insulin resistance (Newgard et al., 2009; Wang et al., 2011).”
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