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Metabolite profiles and the risk of developing diabetes

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,... Full description

Journal Title: Nature medicine 2011, Vol.17 (4), p.448-453
Main Author: Wang, Thomas J
Other Authors: Larson, Martin G , Vasan, Ramachandran S , Cheng, Susan , Rhee, Eugene P , McCabe, Elizabeth , Lewis, Gregory D , Fox, Caroline S , Jacques, Paul F , Fernandez, Céline , O'Donnell, Christopher J , Carr, Stephen A , Mootha, Vamsi K , Florez, Jose C , Souza, Amanda , Melander, Olle , Clish, Clary B , Gerszten, Robert E
Format: Electronic Article Electronic Article
Language: English
Subjects:
Publisher: United States: Nature Publishing Group
ID: ISSN: 1078-8956
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title: Metabolite profiles and the risk of developing diabetes
format: Article
creator:
  • 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
  • Fernandez, Céline
  • O'Donnell, Christopher J
  • Carr, Stephen A
  • Mootha, Vamsi K
  • Florez, Jose C
  • Souza, Amanda
  • Melander, Olle
  • Clish, Clary B
  • Gerszten, Robert E
subjects:
  • Aged
  • Amino acids
  • Amino Acids, Aromatic - blood
  • Amino Acids, Branched-Chain - blood
  • Article
  • Biomarkers - blood
  • Blood sugar
  • Body mass index
  • Cardiac and Cardiovascular Systems
  • Case-Control Studies
  • Causality
  • Clinical Medicine
  • Cohort Studies
  • Diabetes
  • Diabetes Mellitus - blood
  • Diabetes Mellitus - etiology
  • Female
  • Health aspects
  • Humans
  • Kardiologi
  • Klinisk medicin
  • Logistic Models
  • Longitudinal Studies
  • Male
  • Medical and Health Sciences
  • Medicin och hälsovetenskap
  • Metabolism
  • Metabolites
  • Metabolome
  • Middle Aged
  • Pathogenesis
  • Physiological aspects
  • Predictive Value of Tests
  • Prospective Studies
  • Risk Factors
  • Tandem Mass Spectrometry
ispartof: Nature medicine, 2011, Vol.17 (4), p.448-453
description: 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.
language: eng
source:
identifier: ISSN: 1078-8956
fulltext: no_fulltext
issn:
  • 1078-8956
  • 1546-170X
  • 1546-170X
url: Link


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descriptionEmerging 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.
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subjectAged ; Amino acids ; Amino Acids, Aromatic - blood ; Amino Acids, Branched-Chain - blood ; Article ; Biomarkers - blood ; Blood sugar ; Body mass index ; Cardiac and Cardiovascular Systems ; Case-Control Studies ; Causality ; Clinical Medicine ; Cohort Studies ; Diabetes ; Diabetes Mellitus - blood ; Diabetes Mellitus - etiology ; Female ; Health aspects ; Humans ; Kardiologi ; Klinisk medicin ; Logistic Models ; Longitudinal Studies ; Male ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Metabolism ; Metabolites ; Metabolome ; Middle Aged ; Pathogenesis ; Physiological aspects ; Predictive Value of Tests ; Prospective Studies ; Risk Factors ; Tandem Mass Spectrometry
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descriptionEmerging 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.
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abstractEmerging 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.
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