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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Metabolomics-Based Study of Clinical and Animal Plasma Samples in Coronary Heart Disease with Blood Stasis Syndrome
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Metabolomics-Based Study of Clinical and Animal Plasma Samples in Coronary Heart Disease with Blood Stasis Syndrome

机译：血瘀证冠心病临床和动物血浆样品研究基于代谢组的研究

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摘要

The aim of this study is to explore a bridge connecting the mechanism basis and macro syndromes of coronary heart disease with experimental animal models. GC-MS technique was used to detect the metabolites of plasma samples in mini swine models with myocardial infarction (MI) and patients with unstable angina (UA). 30 metabolites were detected in the plasma samples of more than 50 percent of model group and control group in swine, while 37 metabolites were found in the plasma samples of UA patients and healthy control group. 21 metabolites in the plasma samples of swine model and 20 metabolites in patients with UA were found of significant value. Among which, 8 shared metabolites were found of low level expression in both swine model and UA patients. Independent Student's t-test, principal component analysis (PCA), and hierarchicalcluster analysis (HCA) were orderly applied to comprehend inner rules of variables in the data. The 8 shared metabolites could take place of the 21 or 20 metabolites in classification of swine model with MI and UA patients, which could be considered as a bridge connecting the mechanism basis and macrosyndromes of swine model with MI and UA patients.
机译：本研究的目的是探索连接机制基础和冠心病宏观综合征的桥梁与实验动物模型。 GC-MS技术用于检测迷你猪模型中血浆样品的代谢物，心肌梗死（MI）和不稳定的心绞痛（UA）。在猪中超过50％的模型组和对照组的血浆样品中检测到30种代谢物，而在UA患者和健康对照组的血浆样品中发现了37种代谢物。 21发现猪模型等血浆样品中的代谢物和UA患者的20名代谢物。其中，发现了8例共同代谢物在猪模型和UA患者中的低水平表达。独立学生的T-Test，主成分分析（PCA）和分层CLUSTER分析（HCA）有序地应用于理解数据中的内部变量规则。该8个共同的代谢物可以在MI和UA患者进行21或20个代谢物，其猪和UA患者可以被认为是与MI和UA患者的猪模型的机制基础和MacroSyndrom的桥梁。

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