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作 者:郑志伟 周锐 黄钢花[2] Zheng Zhiwei;Zhou Rui;Huang Ganghua(First Clinical Medical College,Traditional Chinese Medicine University of Guangzhou,Guangzhou 510000,China;Pediatrics,the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine,Guangzhou 510000,China)
机构地区:[1]广州中医药大学第一临床医学院,510000 [2]广州中医药大学第一附属医院儿科,510000
出 处:《国际中医中药杂志》2020年第1期51-57,共7页International Journal of Traditional Chinese Medicine
摘 要:目的:筛选鹅不食草治疗支气管哮喘的活性成分及对应靶点,构建药物成分-靶点-通路网络,探讨鹅不食草治疗支气管哮喘的作用机制。方法:通过TCMSP和Drugbank数据库筛选鹅不食草活性成分及作用靶点,运用Cytoscape软件构建靶点间相互作用网络并进行交联分析,筛选出鹅不食草治疗支气管哮喘的活性成分及靶点,基于DAVID数据库进行GO分类富集分析和通路富集分析,获取通路相关信息并进一步构建成分-靶点-通路网络模型。结果:预测得到15个鹅不食草治疗支气管哮喘的活性成分和75个主要靶点,并推断其作用机制可能与ATP结合信号通路、趋化因子激活信号通路、胞外网状结构信号通路等有关,其中IL-6、TNF、MAPK1、肿瘤蛋白p53、JUN等基因可能为关键靶点。结论:基于网络药理学探讨鹅不食草治疗支气管哮喘多成分-多靶点-多途径的特点,为阐述鹅不食草治疗支气管哮喘的作用机制和开展进一步研究提供了依据。Objective To explore the mechanism of Herba Centipedae in the treatment of asthma by screening out the active ingredients and targets,so as to construct a target-pathway network.Methods Based on TCMSP and Drugbank database to screen out active ingredients and corresponding targets of Herba Centipedae by using Cytoscape software to construct the interactive network among targets and the crosslink analysis to screen out the potential ingredients and targets of Herba Centipedae in the treatment of asthma.Finally,the information of signaling pathway was obtained after the GO enrichment analysis and KEGG pathway analysis were performed based on DAVID database,and then the ingredient-target-pathway network model was established.Results Expect to get 15 active ingredients,and 75 targets.And futher predict that the mechanism may relate to chemokine activity signaling pathway,extracellular space signaling pathway and TNF signaling pathway.Among the pathways,IL6,TNF,MAPK1,TP53,JUN genes may play a crucial role.Conclusions Based on the network of pharmacology,this study focuses on the characteristics of the multi-component,multi-target,and multi-pathway of Herba Centipedae in the treatment of asthma.
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