基于网络药理学探讨复方茵丹汤治疗淤胆型肝炎的作用机制徐萌孙凤霞李晓玲摘要目的：通过中药复方网络药理学对复方茵丹汤治疗淤胆型肝炎的作用机制进行系统分析。方法：通过中药系统药理学数据库与分析平台（TCMSP）、中医药综合数据库（TCMID）筛选复方茵丹汤中有效活性成分及其作用靶点;运用OMIM数据库以及GeneCards数据库获取淤胆型肝炎疾病相关靶点;将药物与疾病靶点取交集，获得潜在靶点;通过DisGenet数据库分析潜在靶点的蛋白类型;运用Cytoscape软件构建中药复方调控网络;通过STRING数据库建立蛋白质-蛋白质相互作用（PPI）网络并带入Cytoscape软件进行拓扑分析;采用R软件进行潜在靶点的基因本体（GO）富集分析以及富京都基因和基因组百科全书（KEGG）通路富集分析。结果：复方茵丹汤中有效活性成分所对应的靶点与淤胆型肝炎靶点取交集，共获得了83个潜在靶点;通过复方调控网络构建，预测茵陈、大黄、栀子等药物可能通过NOS2、ESR1、DPP4等靶点对淤胆型肝炎的治疗起到一定作用;通過PPI网络及拓扑分析，获得白细胞介素6、蛋白激酶、血管内皮生长因子A等11个核心靶点，可能在复方茵丹汤治疗淤胆型肝炎中起主要作用;通过GO富集分析结果，预测潜在靶点在淤胆型肝炎的肝脏损伤、炎症反应、细胞代谢功能以及免疫功能中发挥作用;通过KEGG富集分析结果，预测Thl7细胞分化通路、HIF-1信号通路可调节机体的代谢应激，抑制炎症介质。结论：复方茵丹汤对淤胆型肝炎的作用机制可能与其109个有效活性成分、11个核心靶点以及Thl7细胞分化、HIF-1等信号通路有关。关键词网络药理学;复方茵丹汤;淤胆型肝炎;作用机制;有效成分;核心靶点;信号通路StudyontheMechanismofCompoundYindanDecoctionintheTreatmentofCholestaticHepatitisBasedonNetworkPharmacologyXUMeng1，2，SUNFengxia2，LIXiaoling2（1GraduateSchool，BeijingUniversityofTraditionalChineseMedicine，Beijing100029，China;2DepartmentofInfection，BeijingHospitalofTraditionalChineseMedicine，CapitalMedicalUniversity，Beijing100010，China）AbstractObjective：Throughthenetworkpharmacology，weanalyzedthemechanismofcompoundYindanDecoctioninthetreatmentofcholestatichepatitissystematically.Methods：WescreenedouttheactivecomponentsandtheireffectivetargetsincompoundYindandecoctionbyTCMSPandTCMIDdatabase.Weobtainedthedisease-relatedtargetsofcholestatichepatitisrelyingonGeneCardsandOMIMdatabases.Weintersectedthedruganddiseasetargetstoobtainpotentialtargets.WeanalyzedtheproteintypesofpotentialtargetsrelyingonDisGenetdatabase.WeconstructedtheregulatorynetworkofChinesemedicinalthroughCytoscape3.8.0software.WeestablishedtheProteininteractionnetwork（PPI）throughtheSTRINGdatabaseandbroughtintoCytoscape3.8.0softwarefortopologicalanalysis.Weestablishedgeneontology（GO）enrichmentanalysisofpotentialtargetsandtheKyotoEncyclopediaofGenesandGenomes（KEGG）pathwayenrichmentanalysisthroughCytoscapesoftware.GOenrichmentanalysisofpotentialtargetsandKEGGpathwayenrichmentanalysiswereperformedbyusingRsoftware.Results：ThetargetscorrespondingtotheactivecomponentsofcompoundYindanDecoctionintersectedwiththetargetsofcholestatichepatitis.Andweobtainedatotalof83potentialtargets.Throughcompoundregulationnetworkconstruction，itwaspredictedthatHerbaArtemisiaeScopariae（virgatewormwoodherb，YC），RadixetRhizomaRhei（rhubarbrootandrhizome，DH），FructusGardeniae（capejasminefruit，ZZ），mayplayrolesinthetreatmentofcholestatichepatitisthroughNOS2，ESR1，DPP4，etc.respectivelyrelyingontheconstructionofthecompoundregulatorynetwork.ThroughthePPIinteractionnetworkandtopologicalanalysis，wefound11coretargets：Interleukin6，proteinkinase，vascularendothelialgrowthfactorA.Theymayplaymajorrolesinthetreatment...