摘要
目的:基于网络药理学的方法,从系统层面探讨黄芩苷对肺纤维化的潜在作用机制。方法:通过NCBI pubchem、ZINC和TCMSP获取黄芩苷的化合物信息,在NCBI数据库、Pharmmapper数据库获取黄芩苷作用靶点,在DiseaseGene Network和DrugBank获取肺纤维化的靶点,通过基因映射预测黄芩苷治疗肺纤维化的潜在作用靶点,在STRING数据库建立黄芩苷治疗肺纤维化的高置信度PPI网络,采用拓扑分析和富集分析,获得拓扑重要性靶点及核心通路。结果:获得黄芩苷作用靶点332个,肺纤维化靶点431个,黄芩苷潜在作用靶点45个,建立了1个45个节点、191条边的高置信度PPI网络,得到黄芩苷治疗肺纤维化的拓扑重要性靶点21个,3条核心作用通路,及其涉及的20个生物过程(BP),4个细胞成分(CC),4个分子功能(MF)。结论:从网络药理学看黄芩苷治疗肺纤维化的机制涉及多个靶点和信号通路,这些靶点与通路主要通过调节炎性反应、凋亡以及其他与治疗肺纤维化作用有关的生理病理过程有关,为未来中药研究提供了一个网络药理学框架。
Objective:Based on the method of network pharmacology,the potential mechanism of Baicalin on pulmonary fibrosis was discussed from the systematical level.Methods:The information of baicalin compounds was obtained from NCBI pubchem,ZINC and TCMSP.The target of baicalin was obtained from NCBI database and Pharmmapper database.The target of pulmonary fibrosis was obtained from Disease Gene Network and Drug Bank.The potential target of Baicalin in the treatment of pulmonary fibrosis were predicted by gene mapping.A high confidence PPI network for baicalin in the treatment of pulmonary fibrosis was established in STING database.The important target and core path of topological were obtained by using topological analysis and enrichment analysis.Results:A total of 332 targets of baicalin,431 targets of pulmonary fibrosis and 45 potential targets of baicalin were obtained.A high confidence PPI network with 45 nodes and 191 edges was established.A total of 21 topologically important targets,3 core action pathways,20 biological processes(BP),4 cell components(CC)and 4 molecular functions(MF)involved in baicalin treatment of pulmonary fibrosis were obtained.Conclusion:From the perspective of network pharmacology,the mechanism of Baicalin in the treatment of pulmonary fibrosis involves multiple targets and signal pathways.These targets and pathways are mainly related to the regulation of inflammation,apoptosis and other physiological and pathological processes related to the treatment of pulmonary fibrosis,which provides a network pharmacology framework for the future research of traditional Chinese medicine.
作者
张沂
穆杰
高伟华
金译涵
张迪
贾海女
张亚楠
李金桐
柴立民
晏军
ZHANG Yi;MU Jie;GAO Weihua;JIN Yihan;ZHANG Di;JIA Hainv;ZHANG Yanan;LI Jintong;CHAI Limin;YAN Jun(Dongzhimen Hospital Beijing University of Chinese Medicine,Beijing 100700,China;Beijing University of Chinese Medicine,Beijing 100029,China;Beijing University of Chinese Medicine Third Affiliated Hospital,Beijing 100191,China)
出处
《世界中医药》
CAS
2020年第10期1373-1380,共8页
World Chinese Medicine
基金
国家自然科学基金面上项目(81373589)
北京中医药大学2018年新教师启动基金项目(2018-JYB22-XJSJJ033)。
关键词
黄芩苷
肺纤维化
网络药理学
炎性反应
凋亡
信号通路
拓扑分析
富集分析
Baicalin
Pulmonary fibrosis
Network pharmacology
Inflammation
Apoptosis
Signal pathway
Topological analysis
Enrichment analysis