基于复杂网络的心绞痛血瘀证中药组方研究

作者基于中医临床文献数据,从临床治疗心绞痛血瘀证的方剂出发,使用复杂网络算法构建了中药网络,计算了中药的点中心度（degree）、中间中心度（betweenness centrality）和接近中心度（closeness centrality）,以及使用凝聚子图CONCOR迭代相关收敛法分析了中药的聚类情况。结果发现丹参、川芎、黄芪、红花、赤芍的点中心度、中间中心度和接近中心度都较高,为治疗心绞痛血瘀证的核心药物。聚类结果显示,中药可聚类为27个子群,其中4个子群（中药组合）在中药新药处方筛选上有一定的应用价值。为了分析处方内部中药可能的配伍关系,作者对子群进行了二级凝聚子群分析,进一步计算了二级子群的密度,并结合中医理论给出了解释。结论：复杂网络算法可以有效辅助治疗心绞痛血瘀证中药组方的研究。

Study on Formulating Rules of Chinese Herbal Formula for Treating Angina Blood Stasis Syndrome

Based on clinical data of TCM formula for treating angina blood stasis syndrome,a Chinese herbal network for treatment of angina blood stasis syndrome was built up by using scale-free network,degree centrality,betweenness centrality and closeness centrality of Chinese herbs were calculated,and subgroup analysis was performed by using CONCOR method.It was found that salvia miltiorrhiza,rhizoma ligustici wallichii,astragalus root,safflower and radix Notoginseng exhibit high centrality,indicating they were crucial component of the formula to treat of angina blood stasis syndrome.Twenty seven subgroups were discovered,four subgroups are valuable for new TCM formula design.In order to analyze potential compatibility of Chinese herbs,CONCOR analysis was performed on subgroups to obtain network density,and provided explanations from Chinese medicine theory.Conclusion： Scale-free network calculation is a useful method to design TCM formula for treating angina blood stasis syndrome.