世界中医药
文章摘要
引用本文:张沂1,穆杰2,高伟华3,金译涵1,张迪1,贾海女1,张亚楠1,李金桐1,柴立民1,晏军1.基于网络药理学从系统层面探讨黄芩苷治疗肺纤维化的效应机制研究[J].世界中医药,2020,(10):.  
基于网络药理学从系统层面探讨黄芩苷治疗肺纤维化的效应机制研究
Study on the Mechanism of Baicalin in the Treatment of Pulmonary Fibrosis Based on the Network Pharmacology from the Systematical Level
投稿时间:2019-10-16  
DOI:10.3969/j.issn.1673-7202.2020.10.001
中文关键词:  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
English Keywords:Baicalin  Pulmonary fibrosis  Network pharmacology  Inflammation  Apoptosis  Signal pathway  Topological analysis  Enrichment analysis
基金项目: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)
作者单位
张沂1,穆杰2,高伟华3,金译涵1,张迪1,贾海女1,张亚楠1,李金桐1,柴立民1,晏军1 1 北京中医药大学东直门医院,北京,100700
2 北京中医药大学,北京,100029
3 北京中医药大学第三附属医院,北京,100191 
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中文摘要:
      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。
English Summary:
      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.
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