基于网络药理学的肝力保胶囊保肝作用机制研究
投稿时间:2018-04-09  修订日期:2018-06-25  点此下载全文
引用本文:陈俊,陈青山,孙森,赵亮,张海,张国庆.基于网络药理学的肝力保胶囊保肝作用机制研究[J].药学实践杂志,2018,36(5):403~408,416
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陈俊 第二军医大学附属东方肝胆外科医院药材科, 上海 200438  
陈青山 第二军医大学附属东方肝胆外科医院药材科, 上海 200438  
孙森 第二军医大学附属东方肝胆外科医院药材科, 上海 200438  
赵亮 第二军医大学附属东方肝胆外科医院药材科, 上海 200438  
张海 同济大学附属第一妇婴保健院药材科, 上海 201204  
张国庆 第二军医大学附属东方肝胆外科医院药材科, 上海 200438 gqzhang@smmu.edu.cn 
中文摘要:目的 对肝力保胶囊进行网络药理学研究,探讨肝力保胶囊保肝的作用机制。方法 选取肝力保胶囊化学物质组成中的活性成分,采用反向药效团匹配的方法预测活性成分的作用靶点;在此基础上,采用Cytoscape软件和String数据库分别构建肝力保胶囊"活性成分-作用靶点"的分子调控网络及蛋白-蛋白相互作用网络,最后采用DAVID数据库对靶点进行基因功能和信号通路分析。结果 筛选得到活性化合物19个,涉及作用靶点88个。网络分析结果表明,肝力保胶囊主要通过代谢过程、调节细胞死亡和对脂质的应答等生物过程,以及调节肿瘤坏死因子(TNF)、FoxO、Ras、ErbB、低氧诱导因子-1(HIF-1)和Toll样受体(TLR)信号通路来发挥保肝作用。结论 肝力保胶囊保肝作用具有多成分、多靶点、多通路的特点,其可能通过调节细胞死亡、TNF、FoxO、Ras等相关通路发挥作用。
中文关键词:肝力保胶囊  保肝作用  网络药理学  分子机制
 
Study on hepato-protective mechanism of Ganlibao capsule based on network pharmacology
Abstract:Objective To study the mechanism of Ganlibao capsule on liver protection by network pharmacology. Methods The active ingredients of Ganlibao capsule were selected and the targets of these ingredients were predicted by the reverse pharmacophore method. The molecule-regulatory network and protein-protein interaction network of the component-action target were constructed by Cytoscape and the String database respectively. The gene function and signal pathway analysis of the targets were analyzed by DAVID database. Results Nineteen active compounds were screened from the Ganlibao capsule, which involved 88 targets. The results of the network analysis showed that Ganlibao capsule exerted hepato-protective effects mainly through biological processes such as metabolic processes, regulation of cell death and response to lipids, and regulation of TNF, FoxO, Ras, ErbB, HIF-1, and TLR signaling pathways. Conclusion Ganlibao capsule could protect liver by multi-component, multi-target and multi-pathway, which might be through the regulation of cell death, TNF, FoxO, Ras and other related pathways.
keywords:Ganlibao capsule  hepato-protective effect  network pharmacology  molecular mechanism
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