中国中药杂志

2013, v.38(14) 2359-2364

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基于网络关键节点分析的中药防治冠心病机制研究
Study on preventive and therapeutic mechanism of traditional Chinese medicine based on analysis on key network nodes

张燕玲;黄明峰;乔延江;
ZHANG Yan-ling,HUANG Ming-feng,QIAO Yan-jiang(Research Center of Traditional Chinese Medicine Information Engineering,Beijing University of Chinese Medicine,Beijing 100102,China)

摘要(Abstract):

该文对冠心病疾病网络、防治冠心病西药作用网络和活血化瘀中药作用网络的交集部分进行分析,计算节点连接度、瓶颈值、中介性等11个网络节点特征参数值,建立了基于支持向量机算法的冠心病-西药交集网络中关键节点特征参数的潜在作用靶标辨识模型,其模型C,γ参数分别为5.14,-1.11,模型对正、负样本的预测正确率达到81.6%,79.2%,对测试集样本的预测敏感性、专一性和准确率分别为81.5%,78.3%,79.6%。并利用模型预测了冠心病-活血化瘀中药交集网络中的潜在作用靶标,共获得180个阳性靶标、42个阴性靶标。本文以钙连蛋白、白介素-1、肿瘤坏死因子等9个阳性靶标为例探讨阐释了中药防治冠心病的作用机制。研究表明网络潜在关键靶标分析方法有助于发掘活血化瘀中药防治冠心病的潜在作用靶点,可为从分子层次和系统层面上揭示中药作用机制提供方法学支持,对中药的作用机制阐释和新药研发具有指导意义。
To analyze the intersections among the western medicine action network for preventing and treating coronary heart disease(CHD),as well as traditional Chinese medicine(TCM) action network for activating blood and dissolving stasis.In this article,11 characteristic parameter values of network nodes,including connectivity,bottleneck,betweenness,were calculated.The target identification model was established based on key node characteristic parameters in the CHD-western medicine intersection network with support vector machine.Its C and γ parameters were 5.14 and-1.11,respectively,with the predicted accuracies for positive and negative samples of 81.6% and 79.2%.The predicted sensitivity,specificity and accuracy of the test set samples were 81.5%,78.3% and 79.6%,respectively.Besides,the model was applied to predict potential action targets of the CHD-activating blood and dissolving stasis TCM intersection network,and 180 positive nodes and 42 negative nodes were obtained.In this article,9 positive nodes,including calnexin,interleukin-1,tumor necrosis factor,were taken as examples to analyze the action mechanism of TCM for preventing and treating CHD.The results showed that the network potential key target analysis method was helpful to explore the potential action targets of activating blood and dissolving stasis TCMs for preventing and treating CHD,methodologically supportive to reveal the action mechanism of TCMs at molecular and systematic levels,and significant in guiding the research and development of new drugs.

关键词(KeyWords): 冠心病;活血化瘀中药;生物网络;拓扑性质;网络分析;作用机制
coronary heart disease;traditional Chinese medicine for activating blood and dissolving stasis;biological network;topological property;network analysis;action mechanism

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基金项目(Foundation): 国家科技支撑计划项目(2008BAI51B01);; 国家自然科学基金项目(81173522)

作者(Author): 张燕玲;黄明峰;乔延江;
ZHANG Yan-ling,HUANG Ming-feng,QIAO Yan-jiang(Research Center of Traditional Chinese Medicine Information Engineering,Beijing University of Chinese Medicine,Beijing 100102,China)

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