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Updated: May 5, 2026

One-step Metabolomics: Carbohydrates, Organic and Amino Acids Quantified in a Single Procedure
Published on: June 26, 2010
A GC-based metabonomics investigation of type 2 diabetes by organic acids metabolic profile
Kailong Yuan1, Hongwei Kong, Yufeng Guan
1National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, PR China.
Abstract:
"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 show 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.
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