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中国药学(英文版) ›› 2021, Vol. 30 ›› Issue (10): 813-821.DOI: 10.5246/jcps.2021.10.069

• 【研究论文】 • 上一篇    下一篇

基于网络药理学方法探讨丹参治疗病理性瘢痕的作用机制

张洪壮1,2,#, 杨智伟1,#, 张江河1,#, 张一鸣1, 侯世科2, 王振国2, 闫利2,*(), 樊东力1,*()   

  1. 1. 陆军军医大学第二附属医院, 重庆 400037
    2. 武警特色医学中心, 天津 300162
  • 收稿日期:2021-04-18 修回日期:2021-05-20 接受日期:2021-06-19 出版日期:2021-10-24 发布日期:2021-10-24
  • 通讯作者: 闫利, 樊东力
  • 作者简介:
    + Tel.: +86-13508333033, E-mail:
    + Tel.: +86-13502071696, E-mail:
  • 基金资助:
    The National Key Research and Development Projects (Grant No. 2017YFC1307602); the Scientific Research Projects of Tianjin (Grant No. 16ZXHLSY00120; 15ZXLCSY00040); Logistics College of PAP Projects (Grant No. WHJ201729); Logistics Project of PAP (Grant No. CWJ18L004).

Discussion on the mechanism of Salvia miltiorrhiza in treating pathological scars based on network pharmacology

Hongzhuang Zhang1,2,#, Zhiwei Yang1,#, Jianghe Zhang1,#, Yiming Zhang1, Shike Hou2, Zhenguo Wang2, Li Yan2,*(), Dongli Fan1,*()   

  1. 1 The Second Affiliated Hospital of Army Military Medical University, Chongqing 400037, China
    2 Featured Medical Center of Chinese People's Armed Police Forces, Tianjin 300162, China
  • Received:2021-04-18 Revised:2021-05-20 Accepted:2021-06-19 Online:2021-10-24 Published:2021-10-24
  • Contact: Li Yan, Dongli Fan
  • About author:
    # Hongzhuang Zhang, Zhiwei Yang and Jianghe Zhang contributed equally to this work.

摘要:

本研究通过网络药理学方法, 探讨丹参治疗病理性瘢痕(pathological scar, PS)的作用机制。通过TCMSP数据库筛选丹参的活性成分和药物靶点, 在GeneCards数据库获取PS的疾病靶点, 对药物靶点和疾病靶点进行韦恩图分析, 取交集为丹参治疗PS的作用靶点。利用Cytoscape软件构建药物-成分-靶点-疾病网络图。通过String网站构建蛋白质互作网络, 用Cytoscape软件筛选其关键蛋白模块及Hub基因, DAVID数据库进行GO和KEGG富集分析。筛选得到59个活性成分, 138个药物靶点, 90个丹参治疗PS的作用靶点; 得到木犀草素、丹参酮IIA等核心成分; 筛选出VEGFA、TP53、JUN、STAT3、AKT1、MAPK1、PTGS2等Hub基因以及HIF-1、TNF、MAPK、PI3K-Akt、Jak-STAT等信号通路。可以得出, 丹参可通过调控HIF-1、TNF、MAPK、PI3K-Akt、Jak-STAT等信号通路, 改善PS缺氧状态、炎症反应及成纤维细胞增值与凋亡平衡, 具有多中心、多靶点、多途径的特点。

关键词: 病理性瘢痕, 网络药理学, 丹参

Abstract:

In the present study, we aimed to explore the mechanism of Salvia miltiorrhiza in the treatment of pathological scars (PS) by network pharmacology. The active ingredients and drug targets of Salvia miltiorrhiza were screened out through TCMSP database, the disease targets of PS in GeneCards database were obtained, and Venn diagram analysis on drug targets and disease targets was performed, and the intersection was used as the target of Salvia miltiorrhiza for the treatment of PS. Cytoscape software was used to construct a drug-ingredient-target-disease network diagram. A protein-protein interaction network was constructed through String website, its key protein modules and hub genes were screened with Cytoscape software, and GO and KEGG enrichment analyses were performed in DAVID database. Fifty-nine active ingredients, 138 drug targets, and 90 targets of Salvia miltiorrhiza for the treatment of PS were screened out. Core ingredients, such as luteolin and tanshinone IIA, were obtained. The hub genes, such as VEGFA, TP53, JUN, STAT3, AKT1, MAPK1, and PTGS2, and signaling pathways, such as HIF-1, TNF, MAPK, PI3K-Akt, and Jak-STAT, were screened out. Salvia miltiorrhiza might improve PS hypoxia, inflammation, and balance of proliferation and apoptosis of fibroblasts by regulating HIF-1, TNF, MAPK, PI3K-Akt, and Jak-STAT signaling pathways. Moreover, it had the characteristics of multiple centers, multiple targets, and multiple pathways.

Key words: Pathological scar, Network pharmacology, Salvia miltiorrhiza

Supporting: