摘要
目的通过分析基于靶点网络及临床数据挖掘探究名中医贾跃进治疗冠心病合并抑郁症的用药规律及核心中药处方。方法通过GeneCards、OMIM、TTD数据库分别获取冠心病及抑郁症的靶点,构建2种疾病靶点的PPI网络,并进一步筛选核心靶点;利用Metascape平台对交集靶点进行GO功能富集和KEGG通路富集分析,分析冠心病合并抑郁症的作用机制;通过TCMSP查询作用于靶点的有效成分及包含这些有效成分的中药,将数据导入Cytoscape 3.9.0构建核心靶点-有效成分-中药网络,进行网络拓朴学分析;采集贾跃进老中医2015年1月1日-2021年1月1日的门诊临床数据,运用古今医案云平台(V2.3.5)进行数据挖掘,得到其常用处方,将结果与靶点网络分析得到的中药进行核心处方拟合,并对核心处方中的药物进行分析。结果冠心病合并抑郁症靶点PPI网络分析获得1501个交集靶点,可分为4个核心靶点聚类,包括炎症因子类、肿瘤因子类、脂质代谢类因子、纤维化类因子;通过TCMSP获得作用于靶点的有效成分480个,分属181味中药,其中核心成分包括槲皮素、山柰酚、木犀草素、异鼠李素、β-胡萝卜素、金合欢素、刺芒柄花素、鞣花酸。GO富集分析共得61条结果,主要有蛋白质磷酸化的正调控、信号受体激动剂活性、膜面等;KEGG通路富集分析共获得20条结果,主要有癌症通路、脂质和动脉粥样硬化、JAK-STAT通路等。临床数据挖掘纳入验案120例,方剂148首,涉及中药135味,药性以平、温、微寒、寒为主;药味以甘、苦、辛、淡为主、药物主要归肺、脾、肝、心、肾经等;通过药物关联分析、聚类分析和复杂网络分析综合得出常用组方。将常用组方与靶点网络分析得到的中药拟合出核心处方:半夏、甘草、柴胡、香附、丹参、延胡索、党参、黄芪、石菖蒲。结论贾跃进老中医治疗冠心病合并抑郁症的用药规律及符合�
Objective To explore the medication law and core TCM prescriptions of Jia Yuejin in the treatment of coronary heart disease(CHD)complicated with depressive disorder(DD)by analyzing target-based network and mining clinical data.Methods The targets of CHD complicated with DD were obtained by GeneCards,OMIM,TTD and other databases,and then the protein-protein interaction network of the two disease targets was constructed and then screened out the core targets.The Metascape platform was used to perform GO and KEGG pathway enrichment analysis on the intersection targets respectively to analyze the mechanism of action of CHD complicated with DD.Then TCMSP was used to query the active components acting on the targets and the Chinese materia medica containing these active components,and the data were imported into Cytoscape 3.9.0 to construct the core target-active component-Chinese materia medica network for network topology analysis.The outpatient clinical data of Jia Yuejin from January 1,2015 to January 1,2021 were collected,and data mining was conducted by using the Ancient and Modern Medical Case Cloud Platform(V2.3.5)to obtain his commonly used prescriptions.The results were fitted with the core TCM prescriptions obtained by target network analysis,and the drugs in the core prescriptions were analyzed.Results Totally 1501 intersection targets were obtained by protein interaction network analysis of CHD complicated with DD,which could be divided into 4 core target clusters,including inflammation cause,subclass tumor cause,subclass lipid metabolism factor,and fibrosis factor;a total of 480 active components were obtained by TCMSP,which belonged to 181 types of Chinese materia medica,including 8 core components:quercetin,kaempferol,luteolin,carotene,beta-carotene,acacetin,formononetin and ellagic acid.GO enrichment analysis yielded 61 results,mainly including positive regulation of protein phosphorylation,signal receptor agonist activity,side of membrane,etc.;KEGG pathway enrichment analysis yielded a total of 20 res
作者
彭雪峰
刘毅
赵飞
王瑞敏
张译心
芦玥
贾跃进
Peng Xuefeng;Liu Yi;Zhao Fei;Wang Ruimin;Zhang Yixin;Lu Yue;Jia Yuejin(Graduate School of Shanxi University of Chinese Medicine,Taiyuan 030024,China;Prevention and Treatment Center of Affiliated Hospital of Shanxi University of Chinese Medicine,Taiyuan 030024,China)
出处
《国际中医中药杂志》
2023年第3期338-346,共9页
International Journal of Traditional Chinese Medicine
基金
国家自然科学基金项目(81573853)
山西省科技厅应用基础研究项目(201801D221430)
山西省中医药管理局科研课题(2019ZYYC025)
国家中医药管理局全国老中医药专家传承工作室建设项目-贾跃进老中医药专家传承工作室(M020011190M)。
关键词
抑郁症
冠心病
靶点
有效成分
数据挖掘
Depression
Coronary heart disease
Targets
Active ingredient
Data mining
