大理大学学报 ›› 2021, Vol. 6 ›› Issue (8): 16-21.DOI: 10. 3969 / j. issn. 2096-2266. 2021. 08. 004

• 药学 • 上一篇    下一篇

基于网络药理学的冬虫夏草治疗肝硬化作用机制研究

李 捷1,陈依春1,李举发1,陈临涛1,王嘉喆1,姜伊娜2,张斌涛3*   

  1. (1. 西藏民族大学医学院,陕西咸阳 712082;2. 陕西中医药大学基础医学院,陕西咸阳 712046;
    3. 咸阳市中心医院麻醉手术部,陕西咸阳 712000)
  • 收稿日期:2020-11-25 修回日期:2021-02-23 出版日期:2021-08-15 发布日期:2021-09-28
  • 通讯作者: 张斌涛,主管护师,E-mail: 412033617 @qq.com。
  • 作者简介:李捷, 实验师,主要从事抗高原病机制研究。
  • 基金资助:
    西藏自治区自然科学基金项目(XZ2018ZR G-86(Z));陕西中医药大学科研基金项目(2016QN28)

Study on the Mechanism of Ophiocordyceps sinensis in Treating Liver Cirrhosis Based on Network Pharmacology

Li Jie1, Chen Yichun1, Li Jufa1, Chen Lintao1, Wang Jiazhe1, Jiang Yina2, Zhang Bintao3*   

  1. (1. School of Medicine, Xizang Minzu University, Xianyang, Shanxi 712082, China; 2. Shanxi University of Chinese Medicine,Xianyang,
    Shanxi 712046, China; 3. The Department of Anesthesia and Surgery, Xianyang Central Hospital, Xianyang, Shanxi 712000, China)
  • Received:2020-11-25 Revised:2021-02-23 Online:2021-08-15 Published:2021-09-28

摘要: 目的:运用网络药理学方法分析探讨冬虫夏草治疗肝硬化的主要活性成分、主要靶点基因、关键通路及其作用机制。
方法:通过TCMSP 数据库获取冬虫夏草主要活性成分及靶点;通过GeneCards 数据库获取肝硬化相关靶点;Cytoscape 3.2.1
软件构建成分- 靶点网络;STRING 数据库构建蛋白相互作用网络(PPI);DAVID 数据库进行GO 功能和KEGG 通路富集
分析。结果:获得冬虫夏草6 个主要活性成分,对应87 个潜在靶点,56 个肝硬化作用靶点。PPI 网络包含45 个蛋白,涉及
MAPK1、CASP8 等。KEGG 通路富集分析得到44 条信号通路(FDR < 0.01),涉及癌症、乙型肝炎等信号通路,GO 功能富集分
析获得23 个条目(P < 0.01)。结论:运用网络药理学初步预测冬虫夏草治疗肝硬化的作用机制,为后续深入研究提供了新思路。

关键词: 网络药理学, 冬虫夏草, 肝硬化, 作用机制

Abstract: Objective: To analyze and explore the main active components, main targets, key pathways and mechanisms of
Ophiocordyceps sinensis in the treatment of liver cirrhosis by using network pharmacology methods. Methods: The potential targets
and main active components of Ophiocordyceps sinensis were captured from the TCMSP database; the main targets of liver cirrhosis were
obtained from the GeneCards database; a component-target network was constructed by Cytoscape 3.2.1 software; a protein-protein
interaction network(PPI) was constructed by STRING database; DAVID database was used for GO function enrichment and KEGG
pathway enrichment analyses. Results: 87 potential targets, 6 main active ingredients and 56 liver cirrhosis targets were obtained. The
PPI network contained 45 proteins, involving MAPK1, CASP8, etc. KEGG pathway enrichment analysis yielded 44 signal pathways
(FDR<0.01), involving pathways in cancer, Hepatitis B, etc, and GO functional enrichment analysis yielded 23 entries (P<0.01).
Conclusion: This study uses network pharmacology to preliminarily predict the mechanism of Ophiocordyceps sinensis in the
treatment of liver cirrhosis, which provides new ideas for subsequent in-depth research.

Key words: network pharmacology, Ophiocordyceps sinensis, liver cirrhosis, mechanism of action

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