Plasma fatty acids metabolic profiling analysis of coronary heart disease based on GC-MS and pattern recognition.
Plasma fatty acids metabolic profiling analysis of coronary heart disease based on GC-MS and pattern recognition.
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DOI：
10.1016/j.jpba.2008.10.018
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发表时间：
2009-02
影响因子：
3.4
通讯作者：
Xintian Zheng;Jie Shen;Qiang Liu;Shufang Wang;Yiyu Cheng;Hai-bin Qu
中科院分区：
文献类型：
--
作者：
Xintian Zheng;Jie Shen;Qiang Liu;Shufang Wang;Yiyu Cheng;Hai-bin Qu
介绍了一种基于气相色谱-质谱联用技术（GC-MS）的人体血浆脂肪酸综合分析方法，并进行了验证。应用此方法测定了23例冠心病患者和25例健康人的血浆脂肪酸代谢谱。模式识别技术用于建立这两组代谢谱的差异。此外，冠心病患者在中医临床实践中的两个不同的模式可以分类相应的代谢谱，并讨论了几个潜在的生物标志物。
A simple approach for comprehensive profiling of fatty acids in human plasma based on gas chromatography–mass spectrometry (GC–MS) was described and validated. With this method, plasma fatty acid metabolic profiles of 23 coronary heart disease (CHD) patients and 25 healthy subjects were determined. Pattern recognition technology was used to establishing differences in the metabolic profiles of these two groups. Furthermore, CHD patients with two different patterns in Traditional Chinese Medicine clinical practices could be classified by the corresponding metabolic profiles, and several potential biomarkers were discussed.