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Metabolite profiles and the risk of developing diabetes

Wang, Thomas J.; Larson, Martin G.; Vasan, Ramachandran S.; Cheng, Susan; Rhee, Eugene P.; McCabe, Elizabeth; Lewis, Gregory D.; Fox, Caroline S.; Jacques, Paul F. and Fernandez, Celine, et al. (2011) In Nature Medicine 17(4). p.83-448
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... (More)
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. (Less)
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Nature Medicine
volume
17
issue
4
pages
83 - 448
publisher
Nature Publishing Group
external identifiers
  • wos:000289245100035
  • scopus:79953737332
ISSN
1546-170X
DOI
10.1038/nm.2307
language
English
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yes
id
98117500-1040-456a-bfc9-5cc3ec57f390 (old id 1918346)
date added to LUP
2011-05-03 08:04:35
date last changed
2017-11-19 03:48:50
@article{98117500-1040-456a-bfc9-5cc3ec57f390,
  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.},
  author       = {Wang, Thomas J. and Larson, Martin G. and Vasan, Ramachandran S. and Cheng, Susan and Rhee, Eugene P. and McCabe, Elizabeth and Lewis, Gregory D. and Fox, Caroline S. and Jacques, Paul F. and Fernandez, Celine and O'Donnell, Christopher J. and Carr, Stephen A. and Mootha, Vamsi K. and Florez, Jose C. and Souza, Amanda and Melander, Olle and Clish, Clary B. and Gerszten, Robert E.},
  issn         = {1546-170X},
  language     = {eng},
  number       = {4},
  pages        = {83--448},
  publisher    = {Nature Publishing Group},
  series       = {Nature Medicine},
  title        = {Metabolite profiles and the risk of developing diabetes},
  url          = {http://dx.doi.org/10.1038/nm.2307},
  volume       = {17},
  year         = {2011},
}