色谱

色谱

• 研究论文 • 上一篇    下一篇

血浆游离脂肪酸代谢轮廓柱前衍生定量方法在糖尿病患者中医虚证分型中的应用

徐文娟1, 黄宇虹2, 王龙星1, 杨乾栩1, 肖红斌1*, 张德芹2*   

  1. 1. 中国科学院大连化学物理研究所, 辽宁 大连 116023; 2. 天津中医药大学, 天津 300193
  • 收稿日期:2010-01-21 修回日期:2010-03-21 出版日期:2010-06-28 发布日期:1980-06-25
  • 通讯作者: 肖红斌，张德芹

Classification of diabetes deficiency syndromes based on plasma fatty acid metabolic profilings using pre-column derivatization quantitative method

XU Wenjuan1, HUANG Yuhong2, WANG Longxing1, YANG Qianxu1, XIAO Hongbin1*, ZHANG Deqin2*   

  1. 1. Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China; 2. Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
  • Received:2010-01-21 Revised:2010-03-21 Online:2010-06-28 Published:1980-06-25
  • Contact: XIAO Hongbin, ZHANG Deqin

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摘要： 以α-溴代苯乙酮为衍生化试剂,十七酸为内标物,建立了糖尿病患者血浆中游离脂肪酸(FFA)代谢谱分析法,实现了6种主要FFA及6种微量FFA的定量分析。用此方法分析了75位临床糖尿病患者的血浆FFA代谢谱,并通过线性判别分析(LDA)对气虚和气阴两虚两种中医虚证进行了关联分析,正判率为94.3%。逐步判别分析结果表明,花生四烯酸(C20:4)和油酸(C18:1)承载了这两种虚证的重要信息,可作为潜在的标志物。利用代谢组学技术研究血浆FFA代谢谱与中医虚证的相关关系对规范证候临床诊断,提高中医药诊疗体系的可信度与可重复性具有重要意义。

关键词: 代谢组学, 糖尿病, 脂肪酸, 中医证候

Abstract: A simple metabolic profiling approach for quantitative analysis of free fatty acids (FFAs) in human plasma by high performance liquid chromatography was described and validated, using α-bromoacetophenone as the derivative reagent and heptadecanoic acid (C17:0) as the internal standard. The quantitations of 6 predominant FFAs and 6 trace FFAs were achieved. Plasma fatty acid metabolic profiling of 75 diabetic patients was investigated, and then analyzed by multivariate statistical analysis. The linear discriminant analysis (LDA) model was established and validated for the pattern discrimination between Qi-deficiency and Qi and Yin-deficiency, with the hit ratio 94.3%. Stepwise discriminant analysis (SDA) model indicated that arachidonic acid (C20:4) and oleic acid (C18:1) contained the important information on the two syndromes above, and can be used as potential biomarkers of traditional Chinese medicine (TCM) syndrome. It is of great significance to systematically study the relationship between fatty acid metabolic profiling and TCM syndrome using metabolomics methods, and to improve the credibility and repeatability of clinical diagnosis and treatment system.

Key words: diabetes, free fatty acids (FFAs), traditional Chinese medicine (TCM) syndromes , metabonomics