高等学校化学学报 ›› 2010, Vol. 31 ›› Issue (1): 46.

• 研究论文 • 上一篇    下一篇

育龄期妇女血清EFAs和NEFAs轮廓谱及其用于NTDs预防性营养干预研究

韩莉妲1,2, 梁琼麟2, 王义明2, 罗国安1,2   

  1. 1. 华东理工大学药学院, 上海 200237;
    2. 清华大学分析中心, 北京100084
  • 收稿日期:2009-04-06 出版日期:2010-01-10 发布日期:2010-01-10
  • 通讯作者: 罗国安, 男, 教授, 博士生导师, 主要从事生命分析化学研究. E-mail: luoga@mail.tsinghua.edu.cn
  • 基金资助:

    国家“九七三”计划项目(批准号: 2007CB511903)资助.

Serum EFAs and NEFAs Metabolic Profiling Analysis Child-bearing Age Women and Its Application to NTDs Preventive Nutrition Intervention

HAN Li-Da1,2, LIANG Qiong-Lin2, WANG Yi-Ming2, LUO Guo-An1,2*   

  1. 1. School of Pharmaceutics, East-China University of Science & Technology, Shanghai 200237, China;
    2. Analysis Center, Tsinghua University, Beijing 100084, China
  • Received:2009-04-06 Online:2010-01-10 Published:2010-01-10
  • Contact: LUO Guo-An. E-mail: luoga@mail.tsinghua.edu.cn
  • Supported by:

    国家“九七三”计划项目(批准号: 2007CB511903)资助.

摘要:

本文借助GC/MS代谢组学方法, 测定了育龄期妇女血清中酯化和非酯化脂肪酸轮廓谱, 并对营养干预前后育龄期妇女血清脂肪酸含量变化进行了研究. 按营养干预组(48例)和对照组(48例)分组, 测定了育龄期妇女血清中酯化脂肪酸(EFAs)和非酯化脂肪酸(NEFAs)的平均含量; 利用SIMCA-P软件对定量结果进行PLS-DA分析, 聚类结果良好. 基于定量结果, 指认了6种潜在营养生物标志物, 并由此初步探讨了这些潜在生物标志物的生理意义以及营养素干预对育龄期妇女血清脂肪酸含量的影响, 以及脂肪酸代谢变化可能对胚胎神经发育造成的影响.

关键词: 营养干预; 神经管畸形; 脂肪酸; 营养代谢组学; 生物标志物

Abstract:

Nutrition intervention(NI) is the common means for Neural tube defects(NTDs) prevention. The serum EFAs and NEFAs metabolic profiling of Child-bearing age women was studied by GC/MS method. The subjects were random divided into two groups: NI group(n=48) and control group(n=48). The mean levels of EFAs and NEFAs were reported. PLS-DA using the SIMCA-P software package allowed the different group to be distinguished, which means NI has great effects on the metabolism of fatty acids. Based on the quantification results, six FAs(both EFAs and NEFAs) were recognized as potential biomarkers. And the relationship between NI and the FAs′ concentration variation was discussed to illustrate the potential impacts on the incidence of NTD.

Key words: Nutrition intervention; Neural tube defects(NTDs); Fatty acid; Nutrition metabonomics; Biomarker

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