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基于数据挖掘和网络药理学的冠心病中医用药研究
引用本文:陈善达,万彩云,李亮.基于数据挖掘和网络药理学的冠心病中医用药研究[J].湖南中医杂志,2022,38(1):21-28.
作者姓名:陈善达  万彩云  李亮
作者单位:湖南中医药大学,湖南长沙,410208;中医诊断学湖南省重点实验室,湖南长沙,410208;中医心肺病证辨证与药膳食疗重点研究室,湖南长沙,410208
基金项目:湖南省自然科学基金项目(2019JJ40214);湖南省教育厅重点项目(19A380);湖南省中医药科研计划重点项目(202004)。
摘    要:目的:对冠心病中医病案进行用药规律的挖掘分析,运用网络药理学阐释作用机制.方法:运用Excel表格及Python软件将中国知网、万方数据及维普中文科技期刊数据库中收集的343例冠心病临床病案的证素以及用药进行频数统计、权值计算,获得核心中药.通过检索TCMSP、UniProt、TTD、Genecards、OMIM、DR...

关 键 词:冠心病  中医药治疗  数据挖掘  网络药理学  丹参  郁金

Traditional Chinese medicine treatment of coronary heart disease based on data mining and network pharmacology
CHEN Shanda,WAN Caiyun,LI Liang.Traditional Chinese medicine treatment of coronary heart disease based on data mining and network pharmacology[J].Hunan Journal of Traditional Chinese Medicine,2022,38(1):21-28.
Authors:CHEN Shanda  WAN Caiyun  LI Liang
Institution:(Hunan University of Chinese Medicine,Changsha 410208,Hunan,China;Hunan Provincial Key Laboratory of Diagnostics of Traditional Chinese Medicine,Changsha 410208,Hunan,China;Key Laboratory of Cardiopulmonary Disease Syndrome Differentiation and Medicinal Diet Therapy in Chinese Medicine,Changsha 410208,Hunan,China)
Abstract:Objective:To investigate the medication rule in traditional Chinese medicine(TCM)medical records of coronary heart disease by data mining and the mechanism of action by network pharmacology.Methods:Excel and Python were used to perform frequency statistics and weight calculations of syndrome elements and medications in the medical records of 343 patients with coronary heart disease collected from CNKI,Wanfang Data,and VIP,and core TCM drugs were obtained.Databases including TCMSP,UniProt,TTD,Genecards,OMIM,and DRUGEBANK were searched to obtain the active components and potential action targets of the core TCM drugs and the action targets associated with coronary heart disease.The intersecting genes of the drugs and the disease were imported into STRING platform to construct a protein-protein interaction network;Cytoscape3.9.0 was used for modification,and the plug-in MCODE was used to analyze potential protein functions.The intersecting genes were imported into DAVID platform to perform gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses,and R language was used for visualization of results.Results:Data mining showed that“Salvia miltiorrhiza-Curcuma aromatica”was the potential drug combination for the treatment of coronary heart disease.Network pharmacology showed that“Salvia miltiorrhiza-Curcuma aromatica”contained 20 major compounds(including naringenin,cryptotanshinone,baicalin,beta-sitosterol,and luteolin)and had 148 potential target genes,and a total of 4027 target genes were screened out for coronary heart disease,which obtained 120 intersecting genes between the two groups of genes.GO enrichment analysis of these 120 intersecting genes found 566 biological processes,71 cellular components,and 80 molecular functions,and KEGG enrichment analysis obtained 108 signaling pathways.Conclusion:“Salvia miltiorrhiza-Curcuma aromatica”exerts a therapeutic effect on coronary heart disease by regulating the signaling pathways including PI3 K-Akt,HIF-1,FoxO,TNF,NF-κB,and MAPK and inducing various pathological processes such as inflammatory response,cell apoptosis,cell proliferation,and oxidative stress.
Keywords:coronary heart disease  traditional Chinese medicine treatment  data mining  network pharmacology  Salvia miltiorrhiza  Curcuma aromatica
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