【摘要】 利用网络药理学技术预测红参祛痹饮液抗痛风的有效成分、关键靶点及信号通路。通过TCMSP、SwissTargetPrediction、SYMAP以及ETCM等数据库,结合文献检索获取红参祛痹饮液所含有效成分及靶点;通过DisGeNET和Genecards数据库搜索痛风靶点;将有效成分靶点与疾病靶点相映射获得核心靶点;运用Cytoscape3.7.2软件构建"有效成分-痛风-靶点"网络;筛选出红参祛痹饮液治疗痛风的关键靶点并进行拓扑学分析;对关键靶点进行GO生物学功能富集分析及KEGG分析。共获取148个有效成分,183个核心靶点,6个关键靶点(STAT3、MAPK1、SRC、IL6、TNF和PTPN11)及4条潜在的信号通路(Ras、PI3K-AKT、TNF和Toll样受体信号通路)。红参祛痹饮液以多成分、多靶点、多通路的方式发挥抗痛风作用,印证了红参祛痹饮液整体效果,同时也开辟了网络药理学应用于复方饮液用于疾病机制研究的新思路和方法。更多还原

【Abstract】 The effective components,key targets and pathways of anti-gout in red ginseng qubi decoction were predicted by network pharmacology technology.Through TCMSP, Swiss Target Prediction, SYMAP and ETCM databases, combined with literature search, the effective components and targets of red ginseng qubi decoction were obtained.To search gout targets pass through DisGeNET and Genecards databases.Mapping active ingredient targets with disease targets could obtain core targets.Using the software of Cytoscape 3.7.2 to construct an active ingredient-gout-target network.The key targets of red ginseng qubi decoction in the treatment of gout were screened out and topological analysis was performed.Go bioaccumulation and KEGG analysis were performed on the key targets.A total of 148 active components,183 core targets,6 key targets(STAT3,MAPK1,SRC,IL6,TNF,PTPN11) and 4 potential signaling pathways(Ras,PI3 K-AKT,TNF and Toll-like receptor signaling pathways) were obtained.Red ginseng qubi decoction played an anti-gout role in a multi-components,multitargets and multi-pathways.It not only confirmed the overall effect of red ginseng qubi decoction,but also opened a new idea and way of network pharmacology which applied to compound decoction.更多还原