Journal
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES
Volume 850, Issue 1-2, Pages 236-240Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jchromb.2006.11.035
Keywords
metabonomics; GC; organic acids; peak matching algorithm; type 2 diabetes; biomarkers
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Metabonomics method requires the development of rapid, advanced analytical tools and GC will play an important role for its special advantage. In this study we shown the application of GC-based metabonomics to investigate the control and type 2 diabetes (DM2) patients by urinary organic acids metabolic profile. After peak matching, multivariate statistical analysis methods: principal components analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were used. The results showed that there was a relationship between organic acids metabolic profiles and DM2, and PLS-DA can distinguish the DM2 patients from the control. Five organic acids as potential biomarkers were identified. (c) 2006 Elsevier B.V. All rights reserved.
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