Suppr超能文献

基于网络药理学的止喘灵口服液治疗支气管哮喘的作用机制分析

Analysis of the Mechanism of Zhichuanling Oral Liquid in Treating Bronchial Asthma Based on Network Pharmacology.

作者信息

Wang Ruiyin, Lin Jiangtao

机构信息

Graduate School of Beijing University of Chinese Medicine, Beijing, China.

Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.

出版信息

Evid Based Complement Alternat Med. 2020 Jan 17;2020:1875980. doi: 10.1155/2020/1875980. eCollection 2020.

Abstract

Zhichuanling oral liquid (ZOL) as a preparation of traditional Chinese medicine is widely used for the treatment of asthma in China; therefore, it is necessary to systematically clarify bioactive chemical ingredients and the mechanism of action of ZOL. Information on ZOL ingredients and asthma-related targets was collected, and we used the latest systematic pharmacological methods to construct protein-protein interaction network and compound-target network and then visualized them. Finally, GO and KEGG pathway enrichment analysis was conducted through the clusterProfiler package in the R software. The results showed that 58 bioactive ingredients and 42 potential targets of ZOL related to asthma were identified, following six important components and nine hub genes screened. Further cluster and enrichment analysis suggested that NF-κB signaling pathway, PI3K/Akt signaling pathway, IL-17 signaling pathway, Toll-like receptor signaling pathway, and TNF signaling pathway might be core pathways of ZOL for asthma. Our work successfully predicted the active ingredients and potential targets of ZOL and provided the explanation for the mechanism of action of ZOL for asthma through the systematic analysis, which suggested that ZOL played a major role in many ways including reducing airway inflammation and inhibiting airway remodeling and mucus secretion. Moreover, ZOL combined with glucocorticoids may have some effects on severe asthma.

摘要

炙喘灵口服液(ZOL)作为一种中药制剂在中国被广泛用于治疗哮喘;因此,有必要系统阐明ZOL的生物活性化学成分及其作用机制。收集了关于ZOL成分和哮喘相关靶点的信息,并采用最新的系统药理学方法构建蛋白质-蛋白质相互作用网络和化合物-靶点网络,然后将其可视化。最后,通过R软件中的clusterProfiler包进行GO和KEGG通路富集分析。结果表明,确定了与哮喘相关的ZOL的58种生物活性成分和42个潜在靶点,筛选出了六种重要成分和九个枢纽基因。进一步的聚类和富集分析表明,NF-κB信号通路、PI3K/Akt信号通路、IL-17信号通路、Toll样受体信号通路和TNF信号通路可能是ZOL治疗哮喘的核心通路。我们的工作成功预测了ZOL的活性成分和潜在靶点,并通过系统分析为ZOL治疗哮喘的作用机制提供了解释,这表明ZOL在减轻气道炎症、抑制气道重塑和黏液分泌等许多方面发挥着重要作用。此外,ZOL与糖皮质激素联合使用可能对重度哮喘有一定疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6e8/6988691/0941401619ae/ECAM2020-1875980.001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验