【作者】 王伟； 赵慧辉； 陈建新；

【Author】 WANG Wei1,ZHAO Huihui1,CHEN Jianxin2 (1.Graduate School of Beijing University of Chinese Medicine,Beijing 100029;2.Beijing University of Chinese Medicine Information Center,Beijing 100029)

【机构】 北京中医药大学研究生部； 北京中医药大学信息中心；

【摘要】 目的:对冠心病血瘀证的特征模式进行研究,以期为冠心病血瘀证寻找生物学基础与依据,并为模式诊断研究提供思路。方法:在前期采用普通双向凝胶电泳和基质辅助激光解析/电离-飞行时间质谱技术对冠心病不稳定性心绞痛血瘀证患者和健康人去高丰度蛋白血浆差异表达蛋白研究的基础上,采用Lars算法,对冠心病不稳定性心绞痛血瘀证在蛋白质组学层面的特征模式进行了研究。结果:利用17个蛋白质组成的特征模式可以将冠心病不稳定性心绞痛气虚血瘀证与健康人分开,这17个蛋白质可能组成了冠心病不稳定性心绞痛气虚血瘀证的特征模式;利用12个蛋白质组成的特征模式可以将冠心病不稳定性心绞痛痰瘀互阻证与健康人分开,这12个蛋白质可能组成了冠心病不稳定性心绞痛痰瘀互阻证的特征模式。用以上特征模式进行冠心病血瘀证的小样本诊断,正确率均可达到100%。结论:Lars算法可能是研究疾病生物学特征模式的有效方法。更多还原

【Abstract】 Objective:The aim of this study was to analyze the proteome characteristic pattern of unstable angina with blood stasis symptom.Methods:Plasma samples were obtained from twelve unstable angina patients and twelve healthy volunteers.To remove the six most abundant proteins,a polyclonal antibody affinity column was used.Then,the two classes of samples were separated by 2D-DIGE.The differentially expressed protein spots were selected and identified with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) or MS-MS.In the end,using least angle regression algorithm,we studied the proteome characteristic pattern of unstable angina with blood stasis symptom.Results:There are significant difference between unstable angina patients and healthy volunteers.The seventeen proteins made pattern could distinguish unstable angina with qi deficiency and blood stasis syndrome patients from the healthy people and it is probably the proteome characteristic pattern of unstable angina patients with qi deficiency and blood stasis syndrome; The twelve proteins made pattern could distinguish unstable angina with intermingled phlegm and blood stasis syndrome patients from the healthy people and it is probably the proteome characteristic pattern of unstable angina patients with intermingled phlegm and blood stasis syndrome.Using the seventeen proteins made pattern,the unstable angina with qi deficiency and blood stasis syndrome diagnosis accuracy could reach 100%.Using the twelve proteins made pattern,the unstable angina with intermingled phlegm and blood stasis syndrome diagnosis accuracy also could reach 100%.Conclusion:The least angle regression may be a suitable data mining method for the discovery of illness diagnosis pattern.更多还原