国际妇产科学杂志

国际妇产科学杂志 ›› 2015, Vol. 42 ›› Issue (6): 680-684.

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代谢组学在围生医学中的应用

罗林丽，罗东，周容   

  1. 610041 成都，四川大学华西第二医院麻醉科（罗林丽，罗东），妇产科（周容），妇儿疾病与出生缺陷教育部重点实验室（罗林丽，罗东，周容）
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2015-12-15 发布日期:2015-12-15
  • 通讯作者: 罗东

Application of Metabonomics Technologies in the Perinatal Medicine

LUO Lin-li，LUO Dong，ZHOU Rong   

  1. Department of Anesthesiology（LUO Lin-li，LUO Dong），Department of Obstetrics and Gynecology（ZHOU Rong），Key Laboratory of Obstetric Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education（LUO Lin-li，LUO Dong，ZHOU Rong），West China Second University Hospital，Sichuan University，Chengdu 610041，China
  • Received:1900-01-01 Revised:1900-01-01 Published:2015-12-15 Online:2015-12-15
  • Contact: LUO Dong

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摘要： 代谢组学采用核磁共振和质谱分析技术及数据分析手段对样本中的小分子代谢物进行分析，获得与疾病发生发展密切相关的特征性代谢物谱，对疾病的预防、诊断、治疗和预后等发挥了重要的作用。研究发现母体血浆、尿液和羊水中特征性的代谢物谱可预测胎儿畸形，母体血浆代谢组学可预测子痫前期的发生和类型，胎盘和脐血代谢组学可用于胎儿宫内缺氧和发育状况的预测，阴道代谢组学可预测早产的发生。代谢组学技术对研究孕妇和新生儿疾病的发生、发展和预后具有重要的指导意义。

关键词: 代谢, 产科学, 核磁共振, 生物分子, 质谱分析法

Abstract: Metabonomics analyzes the small molecule metabolites from samples using nuclear magnetic resonance and mass spectrum analysis technology and data analysis method. It can obtain the characteristic spectrum of metabolites which is closely related to the occurrence and development of the disease. It plays an important role in disease prevention, diagnosis, treatment and prognosis. The study found that the characteristic metabolites spectrum in the maternal plasma, urine, and amniotic fluid can predict fetal abnormalities, and maternal plasma metabonomics can predict the occurrence and type of preeclampsia, and placental and umbilical cord blood metabonomics can predict intrauterine hypoxia and the growth of fetal, and vaginal metabolomics can predict the occurrence of premature. Metabonomics technology has important guiding significance for studying the diseases occurrence, development and prognosis in pregnant women and neonatte.

Key words: Metabolism, Obstetrics, Nuclear magnetic resonance, biomolecular, Mass spectrometry