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编号:13174274
基于数据挖掘和网络分析的“脑心同治”分子机制研究(5)
http://www.100md.com 2013年1月1日 《中国中药杂志》 2013年第1期
     [Abstract]Objective: The theory of treating heart and brain simultaneously is from the theory of traditional Chinese medicine, and there aren′t enough explanations for this theory from the perspective of molecular mechanism. As one successful case of this theory, the Chinese medicine formula——Buchang Naoxintong can achieve the goal of treating coronary heart disease and stroke at the same time. To illustrate the mechanism of the theory of treating heart and brain simultaneously, it is necessary to find out the molecular mechanism of this formula. Method: Using the network analysis method, together with two data mining methods-clustering and apriori algorithm, the frequent gene combinations interfered by the chemicals of the formula based on the protein-protein interaction networks related with coronary heart disease and stroke disease were figured out respectively. To find out the molecular mechanism of the theory of treating heart and brain simultaneously, the results got from two diseases were compared and analyzed. Result: Based on comparing two results from these two different diseases, the mechanism of the theory of treating heart and brain simultaneously was explained from molecular level by finding out key genes targeted by the components of this formula for both diseases and some particular genes interfered by the components for each disease. In addition, genes interfered indirectly by the chemicals for different diseases were found out based on the protein-protein interaction network. Conclusion: It can help to explain the molecular mechanism of the theory by our methods. By finding out the molecular mechanism of this theory, it can promote the progress of combination of Chinese traditional and Western medicine.

    [Key words]network analysis; data mining; treat heart and brain simultaneously; Buchang Naoxintong formulae; molecular mechanism

    doi:10.4268/cjcmm20130119

    [责任编辑陈玲], http://www.100md.com(陈迪,卢朋,张方博,唐仕欢,杨洪军)
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