神经药理学报

神经药理学报 ›› 2020, Vol. 10 ›› Issue (1): 10-16.DOI: 10.3969/j.issn.2095-1396.2020.01.003

• 研究论文 • 上一篇    下一篇

基于网络药理学探讨人参有效成分对骨关节炎的保护作用机制研究

钟伟权，刘佑波，周才杰，郑银驹，邬明利，梁敏，张媛媛   

  1. 1. 深圳市龙岗区第五人民医院药剂科，深圳，518111，中国
    2. 北京中医药大学深圳医院，深圳，518111，中国
    3. 深圳市龙岗区第五人民医院中医骨科，深圳，518111，中国
  • 出版日期:2020-02-26 发布日期:2020-02-26
  • 作者简介:钟伟权，主管中药师；研究方向：中药饮片，中成药；E-mail：zwqjgo@163.com

Study on the Protective Mechanism of Effective Components of Ginseng on Osteoarthritis Based on Network Pharmacology

ZHONG Wei-quan，LIU You-bo，ZHOU Cai-jie，ZHENG Yin-ju，WU Ming-li，LIANG Min，ZHANG Yuan-yuan   

  1. 1.　 Department of Pharmacy，Fifth People’s Hospital of Longgang District，Shenzhen，518111，China
    2.　 Shenzhen Hospital of Beijing University of Chinese Medicine，Shenzhen，518111，China
    3.　 Department of Traditional Chinese Medicine Orthopedics，Fifth People’s Hospital of Longgang District，Shenzhen，518111，China
  • Online:2020-02-26 Published:2020-02-26
  • About author:钟伟权，主管中药师；研究方向：中药饮片，中成药；E-mail：zwqjgo@163.com

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摘要：

目的：运用网络药理学技术探究人参有效成分对骨关节炎的作用机制。方法：利用TCMSP 数据库筛选人参主要活性化合物和药效基因靶点，并利用GeneCards 和OMIM 数据库筛选骨关节炎相关的靶基因。利用R 语言对人参和骨关节炎相关靶基因取交集，筛选出人参活性化合物治疗骨关节炎的基因靶点，通过Cytoscape 软件绘制基因网络，并用String 数据库构建人参- 蛋白互助图，筛选出核心靶基因，最后采用R 语言对筛选基因靶点进行GO 及KEGG 通路分析。结果：筛选得到人参22 种活性化合物，可能参与治疗骨关节
炎的基因靶点共51 个。获得144 条GO 生物学过程和143 条KEGG 信号通路，主要富集AGE-RAGE、Fluidshear stress and atherosclerosis 和IL-17 等信号通路。结论：人参治疗骨关节炎的作用机制可能与通过抗细胞炎症，降低细凋亡等有关。

关键词: 网络药理学, 人参, 骨关节炎, 作用机制

Abstract:

Objective：To explore the mechanism of effective components of ginseng on osteoarthritis by using network pharmacology technology. Methods：TCMSP database was used to screen the main active compounds and pharmacodynamic genes of ginseng，and GeneCards and OMIM databases were used to screen the target genes related to osteoarthritis. Use R language to intersect target genes related to ginseng and osteoarthritis，and screen out gene targets for active compounds of ginseng to treat osteoarthritis. The gene network was drawn by Cytoscape software，and the ginseng-protein mutual aid map was constructed using the String database，and the core target genes were selected. Finally，R language was used to analyze the GO and KEGG pathways of the selected gene targets. Results：22 active compounds of ginseng were screened out，and a total of 51 target genes may be involved in the treatment of osteoarthritis. Obtained 144 GO biological processes and 143 KEGG signal pathways，which are mainly enriched in cell inflammation，bacterial infection，AGE-RAGE，TNF and other signal pathways. Conclusion：The action mechanism of ginseng in treating osteoarthritis may be related to antibacterial inflammation and reducing bacterial infection.

Key words: network pharmacology, ginseng, osteoarthritis, mechanism of action