title: A GC-based metabonomics investigation of type 2 diabetes by organic acids metabolic profile.
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.
authors.affiliation: National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian 116023, PR China.
authors.forename: Kailong
authors.initials: K
authors.lastname: Yuan
authors.forename: Hongwei
authors.initials: H
authors.lastname: Kong
authors.forename: Yufeng
authors.initials: Y
authors.lastname: Guan
authors.forename: Jun
authors.initials: J
authors.lastname: Yang
authors.forename: Guowang
authors.initials: G
authors.lastname: Xu
mesh_terms: D000143:Acids / Q000652:urine*; D000328:Adult; D000465:Algorithms; D016022:Case-Control Studies; D002849:Chromatography, Gas / Q000379:methods*; D003924:Diabetes Mellitus, Type 2 / Q000652:urine*; D008401:Gas Chromatography-Mass Spectrometry; D006801:Humans; D008875:Middle Aged; D015999:Multivariate Analysis; D009930:Organic Chemicals / Q000652:urine*
chemical_list: D000143:Acids; D009930:Organic Chemicals