Recent epidemiological studies first used metabolism to predict incident diabetes and revealed branched-chain and aromatic amino acids including isoleucine, leucine, valine, tyrosine, and phenylalanine as highly significant predictors of future diabetes [ 11 , 12 ].
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A metabolomics approach to stratify patients diagnosed with diabetes mellitus into excess or deficiency syndromes.
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