Chinese Journal of Chromatography ›› 2011, Vol. 29 ›› Issue (04): 307-313.DOI: 10.3724/SP.J.1123.2011.00307

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Metabonomics and phospholipid metabolic profiling of abnormal glucose metabolism based on high performance liquid chromatography-electrospray mass spectrometry

ZHAO Sumin1,3, ZHENG Hong2, LU Xin1, LIU Ying2, SU Benli2, XU Guowang1*   

  1. 1. CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic R. & A. Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; 2. The Second Affiliated Hospital of Dalian Medical University, Dalian 116023, China; 3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2011-03-15 Revised:2011-03-15 Online:2011-04-28 Published:2011-04-28

Abstract: Abnormal glucose metabolism (AGM) has received more and more attention since its incidence is increasing. Metabonomics and phospholipid metabolic profiling methods based on high performance liquid chromatography-electrospray mass spectrometry (HPLC/ESI-MS) have been applied in the study of AGM. The two different stages of AGM, including impaired fasting glucose (IFG) and newly-diagnosed diabetes (NDD), were investigated. The raw data of both metabonomics and phospholipid metabolic profiling collected from HPLC/ESI-MS were transformed and the peak lists were gained through commercial software. The differentiations among the three groups of NDD, IFG and normal fasting glucose (N) were found through the peak lists were performed with orthogonal signal correction and partial least-squares (OSC-PLS). The metabolic differentiation compounds were selected when their variable importance values were more than 1, and p<0.05 in phospholipid metabolic profiling data. There were more changes in the NDD group than those in the IFG group. The metabolic differentiation compounds were free fatty acids, lysophosphatidylcholine, phosphatidylethanolamine, sphingomyelin and phosphatidylcholine. This research provided some new information of what had happened in the people with AGM.

Key words: abnormal glucose metabolism (AGM), impaired fasting glucose (IFG), metabonomics, newly-diagnosed diabetes (NDD), phospholipid metabolic profiling, liquid chromatography-mass spectrometry (LC-MS)