网络药理学探讨 治疗缺血性中风的作用机制。
A Network Pharmacology to Explore the Mechanism of in the Treatment of Ischemic Stroke.
机构信息
Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China.
Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
出版信息
Biomed Res Int. 2021 Mar 10;2021:6611018. doi: 10.1155/2021/6611018. eCollection 2021.
BACKGROUND
is a valuable Chinese medicine, which is widely used in the clinical treatment of ischemic stroke. The present study is aimed at investigating its target and the mechanism involved in ischemic stroke treatment by network pharmacology.
METHODS
Effective compounds of were collected using methods of network pharmacology and using the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) and the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Potential compound targets were searched in the TCMSP and SwissTargetPrediction databases. Ischemic stroke-related disease targets were searched in the Drugbank, DisGeNet, OMIM, and TTD databases. These two types of targets were uploaded to the STRING database, and a network of their interaction (PPI) was built with its characteristics calculated, aiming to reveal a number of key targets. Hub genes were selected using a plug-in of the Cytoscape software, and Gene Ontology (GO) biological processes and pathway enrichment analyses of Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted using the clusterProfiler package of R language.
RESULTS
Among 12 compounds, deoxycorticosterone, methyl cholate, and biliverdin were potentially effective components. A total of 344 compound targets and 590 ischemic stroke targets were found with 92 overlapping targets, including hub genes such as TP53, AKT, PIK2CA, MAPK3, MMP9, and MMP2. Biological functions of are associated with protein hydrolyzation, phosphorylation of serine/threonine residues of protein substrates, peptide bond hydrolyzation of peptides and proteins, hydrolyzation of intracellular second messengers, antioxidation and reduction, RNA transcription, and other biological processes.
CONCLUSION
may play a role in ischemic stroke by activating PI3K-AKT and MAPK signaling pathways, which are involved in regulating inflammatory response, cell apoptosis, and proliferation.
背景
丹参是一种有价值的中药，广泛应用于缺血性脑卒中的临床治疗。本研究旨在采用网络药理学方法研究丹参治疗缺血性脑卒中的作用靶点和作用机制。
方法
采用网络药理学方法收集丹参的有效化合物，使用中药分子机制生物信息学分析工具（BATMAN-TCM）和中药系统药理学数据库和分析平台（TCMSP）筛选潜在化合物靶点，在 TCMSP 和 SwissTargetPrediction 数据库中搜索与缺血性脑卒中相关的疾病靶点，在 Drugbank、DisGeNet、OMIM 和 TTD 数据库中搜索与缺血性脑卒中相关的疾病靶点。将这两种类型的靶点上传至 STRING 数据库，计算其相互作用网络（PPI）的特征，以揭示多个关键靶点。使用 Cytoscape 软件的插件选择枢纽基因，并使用 R 语言的 clusterProfiler 包进行基因本体论（GO）生物过程和京都基因与基因组百科全书（KEGG）通路富集分析。
结果
在 12 种化合物中，去氧皮质酮、甲基胆酸和胆红素可能是有效的成分。共发现 344 个化合物靶点和 590 个缺血性脑卒中靶点，有 92 个重叠靶点，包括枢纽基因如 TP53、AKT、PIK2CA、MAPK3、MMP9 和 MMP2。丹参的生物学功能与蛋白质水解、蛋白质底物丝氨酸/苏氨酸残基磷酸化、肽键水解、细胞内第二信使水解、抗氧化和还原、RNA 转录等生物过程有关。
结论
丹参可能通过激活 PI3K-AKT 和 MAPK 信号通路发挥作用，参与调节炎症反应、细胞凋亡和增殖。
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