色谱

色谱 ›› 2012, Vol. 30 ›› Issue (09): 864-869.DOI: 10.3724/SP.J.1123.2012.04033

• 研究论文 • 上一篇    下一篇

基于血浆中脂肪酸代谢谱及非线性判别分析方法的糖尿病中医证候分型

徐文娟1, 张良晓1, 黄宇虹2, 杨乾栩1, 肖红斌1*, 张德芹2*   

  1. 1. 中国科学院分离分析化学重点实验室, 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:2012-04-21 修回日期:2012-05-26 出版日期:2012-09-28 发布日期:2012-09-20
  • 通讯作者: 肖红斌,博士,研究员,主要研究方向为中药药效物质基础及作用机理研究. Tel: (0411)84379756, E-mail: hbxiao@dicp.ac.cn.张德芹,博士,教授,主要从事中药传统理论及临床应用研究.hbxiao@dicp.ac.cn
  • 基金资助:

    国家自然科学基金项目(90709014).

Plasma fatty acid metabolic profiles for traditional Chinese medicine syndrome differentiation in diabetic patients using uncorrelated linear discriminant analysis

XU Wenjuan1, ZHANG Liangxiao1, HUANG Yuhong2, YANG Qianxu1, XIAO Hongbin1*, ZHANG Deqin2*   

  1. 1. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China; 2. Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
  • Received:2012-04-21 Revised:2012-05-26 Online:2012-09-28 Published:2012-09-20

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摘要： 糖尿病是严重威胁人类健康的代谢综合征之一,中医因在治疗糖尿病方面有着自身的优势和特色而广泛受到重视。该文以血浆中脂肪酸代谢谱及血脂代谢指标为研究对象,结合化学计量学方法,对5种糖尿病中医证候(气虚、阴虚、气阴两虚、热盛和血瘀)进行关联分析。通过正交信号校正的偏最小二乘(OSC-PLS)方法将5种证候与健康组较明显地区分开。同时,采用非线性判别分析(ULDA)对健康组、中医虚证(气虚、阴虚、气阴两虚)、中医实证(热盛、血瘀)进行分析,3组样本体现明显的聚类效果,正判率达到95.7%。其中对分类贡献较大的标志物为二十碳二烯酸(C20:2)、二十碳五烯酸(C20:5)、甘油三酯(TG)和高密度脂蛋白(HDL),这一结果为辅助糖尿病中医临床诊断提供了重要的信息。

关键词: 非线性判别分析, 糖尿病, 证候分型, 脂肪酸代谢谱

Abstract: Diabetes is a common metabolic syndrome which presents a serious threat to human health. Traditional Chinese medicine (TCM) has been widely paid attention to its advantages and characteristics in the diagnosis and the treatment of diabetes. A strategy of classifying five TCM syndromes in diabetes (Qi-deficiency, Yin-deficiency, Qi- and Yin-deficiency, Damp heat and Blood stasis) was employed based on plasma fatty acid metabolic profiles, lipid metabolism indicators and chemometrics methods. Using orthogonal signal correction-partial least squares (OSC-PLS) method, the five syndromes were obviously distinguished from those of the health control, which confirmed there existed metabolite differences in different traditional Chinese medicine syndromes. Furthermore, a new method, uncorrelated linear discriminant analysis (ULDA), was applied in the discrimination of health control, TCM deficiency syndromes (Qi-deficiency, Yin-deficiency, Qi- and Yin-deficiency) and TCM empirical syndromes (Damp heat, Blood stasis), which demonstrated better clustering results, the correct rate reached 95.7%. The four potential biomarkers, C20:2, C20:5, triglycerides (TG) and high density lipoprotein (HDL), performed large contributions to the classification which can provide important information assisting TCM clinical diagnosis.

Key words: diabetes, syndrome classification, uncorrelated linear discriminant analysis (ULDA), fatty acid metabolic profiles