基于网络药理学的茵陈蒿汤“异病同治”研究  

A Study on Yinchenhao Decoction for "Different Diseases with the Same Treatment" Underlying Network Pharmacology

作　　者：蔡菲菲[1] 李晓燕[1] 董姝[1] 魏滨[1] 季青[1] 陈启龙[1] 苏式兵[1] Cai Feifei Li Xiaoyan Dong Shu Wei Bin Ji Qing Chen Qilong Su Shibing(Research Center for Traditional Chinese Medicine Complexity System, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China)

机构地区：[1]上海中医药大学中医复杂系统研究中心,上海201203

出　　处：《世界科学技术-中医药现代化》2016年第9期1507-1514,共8页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：国家自然科学基金委重点项目(81330084):基于系统生物学的原发性肝癌和大肠癌"异病同证"和"异病同治"的研究;负责人:苏式兵;上海市教委E-研究院中医内科建设计划资助项目(E03008):基于系统生物学的证候与辨证施治研究;负责人:苏式兵

摘　　要：目的:采用网络药理学的方法,预测茵陈蒿汤的药物活性成分、效应靶点及潜在疾病,探讨该方治疗不同疾病湿热证"异病同治"的分子机制。方法:通过TCMSP、TCM Database@Taiwan、Drug Bank等多个数掘库,查找茵陈蒿汤中药物的成分、靶点和相关疾病信息,运用Cytoscape软件构建中药成分-靶点-疾病网络模型,并分析网络的拓扑结构,通过DAVID网站对茵陈蒿汤作用的生物学过程和KEGG通路进行富集分析。结果:共查找到茵陈蒿汤中大黄、栀子和茵陈三味药的272种化学成分,口服生物利用度(OB)≥30%和类药性指数(DL)≥0.18,并能够找到对应靶点的活性成分有33种,对应216个靶点蛋白与308种疾病,大于节点平均度的有81种疾病。与茵陈蒿汤相关的前三个生物学过程为对有机物质的反应、对细胞增殖的调节和对细胞凋亡的调控。显著富集的前三个KEGG通路为癌症通路、前列腺癌及胰腺癌。结论:本文基于网络药理学分析方法对茵陈蒿汤有了整体性的认识,有助于阐明茵陈蒿汤的组效关系,揭示其对于湿热证异病同治的作用机制,以及发现新的潜在临床适应症。This study aimed to predict active compounds in Chinese herbal medicine（CHM）, effective targets and potential diseases of Yinchenhao decoction（YCHD） by network pharmacology, and clarify the molecular mechanism behind YCHD＇s effects on the different diseases with damp-heat syndrome（DHS）. CHM compounds, targets and related diseases using YCHD were gleaned from several database, such as TCMSP, TCM Database@Taiwan and Drug Bank. The CHM compounds-targets-diseases network was constructed and visualized, and the network topology was analyzed by Cytoscape software. Biological processes and KEGG pathways enrichment analysis were performed on DAVID website. As a result, 272 chemical compounds from Radix Angelicae Sinensis, Fructus Gardeniae and Herba Artemisiae Scopariae and 33 active CHM compounds were identified with oral bioavailability（OB） ≥ 30% and drug-likeness（DL） ≥ 0.18, corresponding to 216 target proteins and 308 diseases, among which 81 disease were greater than the average node degree. The top 3 biological processes were responsible to organic substances, and the regulation of cell proliferation and apoptosis. The top 3 KEGG pathways were those in cancer, prostate cancer and pancreatic cancer. In conclusion, this article took a overall understanding of YCHD based on its network pharmacology, which was beneficial to figuring out the composition-activity relationship, revealing the mechanism of YCHD in treating DHS for different diseases, and discovering new potential clinical indications of YCHD.

关 键 词：茵陈蒿汤 湿热证 异病同治 网络药理学 中药成分-靶点-疾病网络 

分 类 号：R966[医药卫生—药理学]