Chinese Journal of Chromatography ›› 2019, Vol. 37 ›› Issue (8): 897-903.DOI: 10.3724/SP.J.1123.2019.02006

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Metabolomic network analysis of umbilical cord blood of gestational diabetes mellitus patients via liquid chromatography-mass spectrometry

WU Yan1,2, ZHANG Xi1,2, ZHANG Jie1, ZHANG Xueqin3, SHEN Heqing1   

  1. 1. Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Xiamen Maternity and Child Health Care Hospital, Xiamen 361003, China
  • Received:2019-02-15 Online:2019-08-08 Published:2015-07-30
  • Supported by:
    National Natural Science Foundation of China (Nos. 21677141, 91543113, 21777157).

Abstract: The global increase in the prevalence of gestational diabetes mellitus(GDM)in recent years has prompted the study of the effect of GDM on the metabolism between mother and fetus. In this study, the metabolomic investigation of the umbilical cord blood of mothers presenting GDM was performed using liquid chromatography-mass spectrometry (LC-MS), orthogonal projections to latent structures discriminant analysis (OPLS-DA), and network analysis to assess GDM-related metabolic biomarkers. The results showed that arachidonic acid (AA) played an important role in the key metabolic network while further pathway analysis suggested that GDM induced unsaturated fatty acid metabolic disorder. This study provides the underlying metabolic mechanism of GDM-induced metabolic abnormalities between mother and fetus.

Key words: fatty acids, gestational diabetes mellitus (GDM), liquid chromatography-mass spectrometry (LC-MS), metabolomics, network analysis

CLC Number: