摘要
目的 通过网络药理学方法探究畲药"十二时辰"镇痛作用的有效成分及可能的作用机制.方法 利用TCMSP数据库对十二时辰已知化学成分进行活性筛选并收集对应的相关靶点,利用GeneCards数据库和DisGeNET数据库收集疼痛相关靶点,利用Venny网站筛选出二者的交集基因,作为十二时辰镇痛作用的潜在靶点;利用Cytoscape软件构建活性成分-靶点网络、利用STRING数据库构建PPI网络、利用David 6.8数据库对十二时辰潜在靶点进行GO功能和KEGG通路富集分析,利用Cytoscape软件构建十二时辰成分-靶点-信号通路网络.结果 网络分析确定十二时辰中11个化合物与24个靶点基因与镇痛作用有关,蛋白互作网络的核心基因是ACTB、NOS3、CASP3、PTGS2、RELA和PPARA,通过KEGG确定核心通路主要包括非酒精性脂肪肝、心肌细胞的肾上腺素能信号传导、流体剪切应力与动脉粥样硬化等.结论 十二时辰可能通过多靶点、多信号途径的相互作用对炎症、癌症引起的疼痛及神经性疼痛起到镇痛作用.可为下一步实验研究提供依据.
Abstract
OBJECTIVE To explore the active ingredients and possible action mechanism of She medicine"Clematis florida var.flore-pleno"through network pharmacology methods.METHODS The TCMSP database was used to screen the activities of the known chemical components and collect the relevant targets,pain-related targets were collected using the GeneCards database and the DisGeNET database,the Venny website was used to select the intersection genes as a potential target of analgesic effect in She medicine Clematis florida var.flore-pleno;Building active component-target network with Cytoscape software,building PPI network by STRING database,performing GO function and KEGG pathway enrichment analysis of She medicine Clematis florida var.flore-pleno potential targets by David 6.8 database,and component-target-signaling pathway network was constructed using Cytoscape soft-ware.RESULTS Network analysis identified 11 compounds with 24 target genes and analgesia,and the core genes of protein interaction network were ACTB,NOS 3,CASP 3,PTGS 2,RELA and PPARA.The core pathways identified by KEGG mainly included non-alcoholic fatty liver disease,adrenergic signaling in cardiomyocytes,fluid shear stress and atherosclerosis,etc.CONCLUSION She medicine Clematis florida var.flore-pleno may play analgesic effects on inflammation,cancer and neuropathic pain through the interaction of multiple targets and multiple signal path-ways.It can provide a basis for the next experimental research.
基金项目
中医药公共卫生服务补助专项全国中药资源普查项目(2019)(财社[2019]39号)
维普
万方数据