Systematic understanding of mechanism of Shenfu decoction improve the prognosis of ischemic stroke using a network pharmacology and animal experiment approach.

Zhang Wei, Ren Changhong, Gao Chen, X U Jun, W U Xiaodan, Yang Yong
{"title":"Systematic understanding of mechanism of Shenfu decoction improve the prognosis of ischemic stroke using a network pharmacology and animal experiment approach.","authors":"Zhang Wei, Ren Changhong, Gao Chen, X U Jun, W U Xiaodan, Yang Yong","doi":"10.19852/j.cnki.jtcm.2025.05.014","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To explore the active compounds and the mechanism of Shenfu decoction (, SFD) against ischemic stroke (IS) through network pharmacology and animal experiments.</p><p><strong>Methods: </strong>SFD components were retrieved from the Traditional Chinese Medicine (TCM) database. The Online Mendelian Inheritance in Man (OMIM), Comparative Toxicogenomics Database (CTD) and Therapeutic Target Database (TTD) database were used to retrieve the IS-related disease targets. The herb-compound-target network was built by Cytoscape 3.7.1 software. The core targets were obtained using protein-protein interaction (PPI) network. The core targets of SFD were further analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then performed molecular docking between the hub proteins and key active compounds. Finally, we conducted animal experiments to verify the regulation of SFD on apoptosis following IS.</p><p><strong>Results: </strong>There were 221 corresponding targets and 25 components related to Chinese medicine throughout the compound-target network. The core targets of SFD in the treatment of IS was tumor protein P53 (Tp53), mitogen-activated protein kinase 3 (MAPK3), MAPK1, heat shock proteins 90AA1 and alpha serine/threonine-protein kinase1. There were 221 GO items in GO function enrichment analysis and 106 signaling pathways in KEGG, mainly including negative regulation of the apoptosis process, vascular endothelial growth factor signaling pathways, NOD-like receptor signaling pathway, etc. Among them, Tp53, MAPK3, and MAPK1 were docked with small molecule compounds. Through animal research, we confirmed the effect of SFD on apoptosis following stroke.</p><p><strong>Conclusion: </strong>This study demonstrates that SFD can treat IS through multiple targets and pathways, and provides new perspectives for exploring the core targets and mechanisms of SFD against IS.</p>","PeriodicalId":94119,"journal":{"name":"Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan","volume":"45 5","pages":"1078-1086"},"PeriodicalIF":0.0000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12454265/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.19852/j.cnki.jtcm.2025.05.014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: To explore the active compounds and the mechanism of Shenfu decoction (, SFD) against ischemic stroke (IS) through network pharmacology and animal experiments.

Methods: SFD components were retrieved from the Traditional Chinese Medicine (TCM) database. The Online Mendelian Inheritance in Man (OMIM), Comparative Toxicogenomics Database (CTD) and Therapeutic Target Database (TTD) database were used to retrieve the IS-related disease targets. The herb-compound-target network was built by Cytoscape 3.7.1 software. The core targets were obtained using protein-protein interaction (PPI) network. The core targets of SFD were further analyzed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). We then performed molecular docking between the hub proteins and key active compounds. Finally, we conducted animal experiments to verify the regulation of SFD on apoptosis following IS.

Results: There were 221 corresponding targets and 25 components related to Chinese medicine throughout the compound-target network. The core targets of SFD in the treatment of IS was tumor protein P53 (Tp53), mitogen-activated protein kinase 3 (MAPK3), MAPK1, heat shock proteins 90AA1 and alpha serine/threonine-protein kinase1. There were 221 GO items in GO function enrichment analysis and 106 signaling pathways in KEGG, mainly including negative regulation of the apoptosis process, vascular endothelial growth factor signaling pathways, NOD-like receptor signaling pathway, etc. Among them, Tp53, MAPK3, and MAPK1 were docked with small molecule compounds. Through animal research, we confirmed the effect of SFD on apoptosis following stroke.

Conclusion: This study demonstrates that SFD can treat IS through multiple targets and pathways, and provides new perspectives for exploring the core targets and mechanisms of SFD against IS.

采用网络药理学和动物实验方法系统了解参附汤改善缺血性脑卒中预后的机制。
目的:通过网络药理学和动物实验,探讨参附汤抗缺血性脑卒中(IS)的活性成分及其作用机制。方法:从中药数据库中检索SFD成分。利用人类在线孟德尔遗传(OMIM)、比较毒物基因组学数据库(CTD)和治疗靶点数据库(TTD)数据库检索is相关疾病靶点。采用Cytoscape 3.7.1软件构建中草药-化合物-靶点网络。利用蛋白-蛋白相互作用(PPI)网络获得核心靶点。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)进一步分析SFD的核心靶点。然后,我们在枢纽蛋白和关键活性化合物之间进行了分子对接。最后,我们通过动物实验验证SFD对IS后细胞凋亡的调控作用。结果:在整个化合物靶点网络中有221个对应的靶点和25个与中药相关的成分。SFD治疗IS的核心靶点是肿瘤蛋白P53 (Tp53)、丝裂原活化蛋白激酶3 (MAPK3)、MAPK1、热休克蛋白90AA1和α丝氨酸/苏氨酸蛋白激酶1。在GO功能富集分析中有221个GO项目,在KEGG中有106条信号通路,主要包括细胞凋亡过程的负调控、血管内皮生长因子信号通路、nod样受体信号通路等。其中,Tp53、MAPK3、MAPK1与小分子化合物对接。通过动物实验,我们证实了SFD对脑卒中后细胞凋亡的影响。结论:本研究表明SFD可通过多种靶点和途径治疗IS,为探索SFD抗IS的核心靶点和机制提供了新的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信