摘要
目的:通过网络药理学技术预测并筛选丹参治疗帕金森病的活性成分及其潜在作用靶点,探讨丹参对帕金森病的多成分群-多靶点群-疾病的防治作用机制。方法:通过BATMAN-TCM预测并筛选丹参的活性成分及其作用靶点,利用Cytoscape软件构建丹参治疗帕金森病的成分和作用靶点网络,采用STRING数据库构建PPI网络,利用KOBAS数据库分析靶点的GO富集和KEGG信号通路。结果:筛选得到丹参的124个活性成分,预测涉及帕金森病的靶点11个,主要与ACHE、ADORA2A、AGTR1等靶点有关,其中10个靶点有相互作用关系,以P<0.05进行筛选,得到GO生物过程1112条,其功能涉及多巴胺代谢、含儿茶酚的化合物代谢等过程。筛选得到34条信号通路,其中前20条KEGG通路为多巴胺能突触、神经活性配体-受体相互作用等相关通路。结论:揭示了丹参从多巴胺代谢过程、神经活性配体-受体相互作用等途径多成分-多靶点-多途径治疗帕金森病的作用机制,为靶向药物研发和阐明机制提供理论支撑。
AIM : To predict and screen the active constituents of Parkinson's disease and its potential targets by using network pharmacology techniques, and to explore the mechanism of prevention and treatment of Salvia miltiorrhiza on multi-component group-multi-target group-disease of Parkinson's disease. METHODS : BATMAN-TCM was used to predict and screen the active components and target of Salvia miltiorrhiza. The components and target network of Salvia miltiorrhiza in Parkinson's disease were constructed by using Cytoscape software. The PPI network was constructed by STRING database, and the target GO was analyzed by KOBAS database. Enrichment and KEGG signaling pathways. RESULTS :The 124 active components of Salvia miltiorrhiza were screened and 11 targets related to Parkinson's disease were predicted, which were mainly related to ACHE, ADORA2A, AGTR1 and other targets. Ten of them had interactions, and were screened at P < 0.05 . A total of 1 112 GO biological processes were obtained, the functions of which involved processes such as dopamine metabolism, catechol-containing compound metabolism. 34 signal pathways were screened, and the first 20 KEGG pathways were related to dopaminergic synapses and neuroactive ligand-receptor interactions. CONCLUSION :The mechanism of multi-component-multi-target-multi-pathway treatment of Parkinson's disease from dopamine metabolism process and neuroactive ligand-receptor interaction is revealed, which provides theoretical support for targeted drug development and clarification mechanism.
作者
章水晶
杜仲燕
ZHANG Shuijing;DU Zhongyan(Zhejiang Rehabilitation Medical Center/the Third Affiliated Hospital of Zhejiang Chinese Medical University,Hangzhou 310053,Zhejiang,China;Zhejiang Chinese Medical University,Hangzhou 310053,Zhejiang,China)
出处
《中国临床药理学与治疗学》
CAS
CSCD
2019年第6期601-607,共7页
Chinese Journal of Clinical Pharmacology and Therapeutics
基金
国家自然科学基金(81773981)
浙江省中医药优秀青年人才基金(2015ZQ016)
浙江省教育厅一般科研项目(Y201635254,Y201636861)
关键词
丹参
帕金森病
网络药理
作用机制
Salvia miltiorrhiza
Parkinson's disease
network pharmacology
mechanism