世界中医药

作者	单位
付宇1，邓娜1，田书芳2	1 湖北医药学院附属人民医院儿科，十堰，442000； 2 湖北医药学院附属人民医院中医科，十堰，442000

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中文摘要:

目的：利用网络药理学的方法预测麻黄附子细辛汤治疗儿童哮喘的活性成分，并预测其作用靶点，探讨其可能的作用机制。方法：用中药系统药理学数据库与分析平台（TCMSP）和GeneCards数据库收集麻黄附子细辛汤的活性成分及靶点，采用STRING数据库和Cytoscape软件构建药物-活性成分-靶点的网络和作用于哮喘的蛋白质-蛋白质相互作用（PPI）网络，通过ClusterProfiler语言包进行GO和KEGG通路的富集分析。结果：通过口服生物利用度（OB）≥30%、类药性（DL）≥0.18筛选得到35个有效活性成分，包括槲皮素、木犀草素、（+）-儿茶素等，收集了171个靶点，包括JUN、AKT1、MAPK1、MAPK3、RELA和IL6等，并富集得到多条GO功能和KEGG通路，比如TNF信号通路，AGE-RAGE信号通路、IL-17信号通路、HIF-1信号通路等。结论：麻黄附子细辛汤可能通过抑制炎症介质的表达，促进气管重塑，改善气管堵塞等而发挥治疗儿童哮喘的作用。

English Summary:

To predict the active chemicals and targets on childhood asthma and explore the mechanism of Mahuang Fuzi Xixin decoction.Methods:Based on TCMSP and Genecards database，the active chemicals and chemicals-targets were gathered.Then drug-chemicals-targets network and PPI network were performed utilizing string database and Cytoscape software.Finally，GO and KEGG enrichment analysis were carried out by using Cluster Profiler package in R RStudio software.Results:With the setting of OB≥30% and DL≥0.18，35 active chemicals were gathered，including quercetin，luteolin,(+)-catechin and so on and 171 targets(JUN，AKT1，MAPK1，MAPK3，RELA，IL6,etc）were fished out.GO and KEGG pathways were gathered and analysed，including TNF signaling pathway，AGE-RAGE signaling pathway，IL-17 signaling pathway，HIF-1 signaling pathway and so on.Conclusion:Mahuang Fuzi Xixin Decoction may play a role in treating childhood asthma，inhibiting the expression of inflammatory factors and improving tracheal obstruction，through regulating multiple components，multiple targets，multiple signaling pathways.

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