通过网络药理学、单细胞RNA测序、分子对接等手段揭示炎护索治疗神经性疼痛的作用机制。

IF 2.5 3区 生物学
Rui Liu, Min Yu, Kaihan Zhuang, Tingting Liu, Shanlian Suo, Haitao Dong
{"title":"通过网络药理学、单细胞RNA测序、分子对接等手段揭示炎护索治疗神经性疼痛的作用机制。","authors":"Rui Liu, Min Yu, Kaihan Zhuang, Tingting Liu, Shanlian Suo, Haitao Dong","doi":"10.1186/s41065-025-00551-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Current therapeutic strategies for neuropathic pain (NP) encompass pharmacological agents, physical modalities, psychological support, and interventional procedures, which aim to mitigate inflammation, enhance vascular perfusion in afflicted regions, and modulate immune responses. However, the heterogeneity of NP pathogenesis and individual variability often lead to inconsistent treatment outcomes.</p><p><strong>Methods: </strong>An integrative network pharmacology framework was employed to elucidate the mechanistic basis of Yanhusuo in NP management. NP patients were categorized via unsupervised clustering, followed by single-cell sequencing and cell-cell communication analysis to identify immune cell interactions. Active compounds and targets of Yanhusuo were identified using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and SwissTargetPrediction databases. Network pharmacology tools, including Cytoscape, facilitated the construction of protein-protein interaction (PPI), compound-target-disease, and compound-target-pathway networks. Topological analyses identified core targets and pathways, while the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatics platform was used for functional enrichment analysis. Finally, molecular docking analysis was conducted to evaluate ligand-receptor binding affinities.</p><p><strong>Results: </strong>Nine bioactive compounds and 53 NP-associated targets were identified in Yanhusuo. PPI analysis suggests that ACTB, PPP1CA, ERK1, and PTEN may be the hub nodes with maximal centrality. KEGG pathway enrichment highlighted the focal adhesion pathway as pivotal in Yanhusuo's anti-NP activity. Molecular docking suggests that there may be strong binding interactions between key compounds and hub targets (e.g. binding energy<-6.5 kcal/mol).</p><p><strong>Conclusions: </strong>This work systematically maps Yanhusuo's multi-target, multi-pathway therapeutic landscape in NP, offering a strategic foundation for mechanistic research and drug discovery. The identified bioactive candidates represent promising candidates for NP therapeutics.</p>","PeriodicalId":12862,"journal":{"name":"Hereditas","volume":"162 1","pages":"182"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462212/pdf/","citationCount":"0","resultStr":"{\"title\":\"Unveiling the mechanisms of yanhusuo's therapeutic effects in neuropathic pain through network pharmacology, single-cell RNA sequencing, and molecular docking.\",\"authors\":\"Rui Liu, Min Yu, Kaihan Zhuang, Tingting Liu, Shanlian Suo, Haitao Dong\",\"doi\":\"10.1186/s41065-025-00551-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Current therapeutic strategies for neuropathic pain (NP) encompass pharmacological agents, physical modalities, psychological support, and interventional procedures, which aim to mitigate inflammation, enhance vascular perfusion in afflicted regions, and modulate immune responses. However, the heterogeneity of NP pathogenesis and individual variability often lead to inconsistent treatment outcomes.</p><p><strong>Methods: </strong>An integrative network pharmacology framework was employed to elucidate the mechanistic basis of Yanhusuo in NP management. NP patients were categorized via unsupervised clustering, followed by single-cell sequencing and cell-cell communication analysis to identify immune cell interactions. Active compounds and targets of Yanhusuo were identified using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and SwissTargetPrediction databases. Network pharmacology tools, including Cytoscape, facilitated the construction of protein-protein interaction (PPI), compound-target-disease, and compound-target-pathway networks. Topological analyses identified core targets and pathways, while the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatics platform was used for functional enrichment analysis. Finally, molecular docking analysis was conducted to evaluate ligand-receptor binding affinities.</p><p><strong>Results: </strong>Nine bioactive compounds and 53 NP-associated targets were identified in Yanhusuo. PPI analysis suggests that ACTB, PPP1CA, ERK1, and PTEN may be the hub nodes with maximal centrality. KEGG pathway enrichment highlighted the focal adhesion pathway as pivotal in Yanhusuo's anti-NP activity. Molecular docking suggests that there may be strong binding interactions between key compounds and hub targets (e.g. binding energy<-6.5 kcal/mol).</p><p><strong>Conclusions: </strong>This work systematically maps Yanhusuo's multi-target, multi-pathway therapeutic landscape in NP, offering a strategic foundation for mechanistic research and drug discovery. The identified bioactive candidates represent promising candidates for NP therapeutics.</p>\",\"PeriodicalId\":12862,\"journal\":{\"name\":\"Hereditas\",\"volume\":\"162 1\",\"pages\":\"182\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12462212/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hereditas\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1186/s41065-025-00551-z\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hereditas","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1186/s41065-025-00551-z","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:目前神经性疼痛(NP)的治疗策略包括药物、物理方式、心理支持和介入治疗,目的是减轻炎症、增强患病区域的血管灌注和调节免疫反应。然而,NP发病机制的异质性和个体差异性往往导致治疗结果不一致。方法:采用综合网络药理学框架分析延护索治疗NP的机制基础。通过无监督聚类对NP患者进行分类,随后进行单细胞测序和细胞间通讯分析,以确定免疫细胞的相互作用。采用中药系统药理学(TCMSP)和SwissTargetPrediction数据库对炎护索的活性成分和靶点进行鉴定。包括Cytoscape在内的网络药理学工具促进了蛋白质-蛋白质相互作用(PPI)、化合物-靶点-疾病和化合物-靶点-途径网络的构建。拓扑分析确定了核心靶点和通路,而数据库注释,可视化和集成发现(DAVID)生物信息学平台用于功能富集分析。最后进行分子对接分析,评价配体与受体的结合亲和力。结果:盐虎索共鉴定出9个活性化合物和53个np相关靶点。PPI分析显示ACTB、PPP1CA、ERK1和PTEN可能是中心性最大的枢纽节点。KEGG通路的富集表明,黏附通路在延胡索抗np活性中起关键作用。分子对接提示关键化合物与枢纽靶点(如结合能)之间可能存在较强的结合相互作用。结论:本研究系统地绘制了盐虎索在NP中的多靶点、多通路治疗图景,为机制研究和药物发现提供了战略基础。确定的生物活性候选物代表了NP治疗的有希望的候选物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the mechanisms of yanhusuo's therapeutic effects in neuropathic pain through network pharmacology, single-cell RNA sequencing, and molecular docking.

Background: Current therapeutic strategies for neuropathic pain (NP) encompass pharmacological agents, physical modalities, psychological support, and interventional procedures, which aim to mitigate inflammation, enhance vascular perfusion in afflicted regions, and modulate immune responses. However, the heterogeneity of NP pathogenesis and individual variability often lead to inconsistent treatment outcomes.

Methods: An integrative network pharmacology framework was employed to elucidate the mechanistic basis of Yanhusuo in NP management. NP patients were categorized via unsupervised clustering, followed by single-cell sequencing and cell-cell communication analysis to identify immune cell interactions. Active compounds and targets of Yanhusuo were identified using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) and SwissTargetPrediction databases. Network pharmacology tools, including Cytoscape, facilitated the construction of protein-protein interaction (PPI), compound-target-disease, and compound-target-pathway networks. Topological analyses identified core targets and pathways, while the Database for Annotation, Visualization and Integrated Discovery (DAVID) bioinformatics platform was used for functional enrichment analysis. Finally, molecular docking analysis was conducted to evaluate ligand-receptor binding affinities.

Results: Nine bioactive compounds and 53 NP-associated targets were identified in Yanhusuo. PPI analysis suggests that ACTB, PPP1CA, ERK1, and PTEN may be the hub nodes with maximal centrality. KEGG pathway enrichment highlighted the focal adhesion pathway as pivotal in Yanhusuo's anti-NP activity. Molecular docking suggests that there may be strong binding interactions between key compounds and hub targets (e.g. binding energy<-6.5 kcal/mol).

Conclusions: This work systematically maps Yanhusuo's multi-target, multi-pathway therapeutic landscape in NP, offering a strategic foundation for mechanistic research and drug discovery. The identified bioactive candidates represent promising candidates for NP therapeutics.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
×
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