色谱

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

• 研究论文 • 上一篇    下一篇

基于液相色谱-质谱联用技术的妊娠期糖尿病患者脐带血代谢组学网络分析

吴衍1,2, 张西1,2, 张洁1, 张雪芹3, 申河清1   

  1. 1. 中国科学院城市环境研究所, 中国科学院城市环境与健康重点实验室, 厦门 361021;
    2. 中国科学院大学, 北京 100049;
    3. 厦门市妇幼保健院, 厦门 361003
  • 收稿日期:2019-02-15 出版日期:2019-08-08 发布日期:2015-07-30
  • 通讯作者: 张洁, 申河清
  • 基金资助:
    国家自然科学基金项目（21677141，91543113，21777157）.

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).

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摘要： 妊娠期糖尿病（GDM）患病率呈现逐年上升的趋势，探究其对母婴之间代谢影响变得尤为重要。该研究基于液相色谱-质谱的代谢组学技术，分析GDM条件下脐带血血清代谢组的变化。采用正交偏最小二乘判别分析模型（OPLS-DA）与网络模型结合进行分析。结果表明代谢标志物花生四烯酸（AA）为关键代谢网络节点。通路分析显示，GDM会引起不饱和脂肪酸代谢异常，而该通路变化可能是GDM影响母婴代谢的重要分子机制。该文建立的代谢组学网络分析方法为研究GDM母婴间代谢变化提供了新的思路。

关键词: 代谢组学, 妊娠期糖尿病, 网络分析, 液相色谱-质谱, 脂肪酸

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

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