中国临床解剖学杂志 ›› 2022, Vol. 40 ›› Issue (5): 569-574.doi: 10.13418/j.issn.1001-165x.2022.5.12

• 实验研究 • 上一篇    下一篇

基于网络药理学探究络石藤-牛膝药治疗关节炎的作用机制

庞婷1,2#,   唐秋莲3#,    陈勇2,    魏江存3,   梁草3,    王志强4,    何欢1,    曾超4*   

  1. 1.广西农业职业技术大学药学系, 南宁   530007;    2.广西中医药大学药学院,  南宁  530022;  
    3.广西国际壮医医院,  南宁   530003;    4.广西中医药大学第一附属医院,  南宁  530023
  • 收稿日期:2021-01-27 出版日期:2022-09-25 发布日期:2022-10-12
  • 通讯作者: 曾超,主任中药师,E-mail:1400214874@qq.com
  • 作者简介:庞婷(1990-)女,硕士,讲师,研究方向:药物体内分析及药物代谢动力学,E-mail:Pt7759@126. com;共同第一作者:唐秋莲(1986-),女,学士,主治医师,E-mail: 313417948@qq.com
  • 基金资助:
    国家自然科学基金(81360524,81260673);广西地市县立项科研项目(Z202016);全国中药特色技术传承人才培训项目(2015481601003);2022年度广西高校中青年教师科研基础能力提升项目(2022ky1206);自治区中医药局自筹经费科研课题(GZZC2019005)

Mechanism of herb-pair Trachelospermum jasminoides and Achyranthes bidentata treating Arthritis based on network pharmacology

Pang Ting1,2#,Tang Qiulian3#, Chen Yong2, Wei Jiangcun3, Liang Cao3, Wang Zhiqiang4, He Huan1, Zeng Chao4*   

  1. 1. Department of Pharmacy ,Guangxi Agricultural Vocational University, Nanning 530007, China; 2. College of Pharmacy ,Guangxi University of Chinese Medicine, Nanning 530022, China; 3. Guangxi International Zhuang Medicine Hospital, Nanning 530003, China; 4. The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning 530023, China
  • Received:2021-01-27 Online:2022-09-25 Published:2022-10-12

摘要: 目的    基于网络药理学分析“络石藤-牛膝”药对治疗关节炎(Arthritis)的潜在作用机制。  方法    通过检索中草药系统药理学数据库平台(TCMSP)进行药对“络石藤-牛膝”有效成分及靶基因筛选;以“Arthritis”为关键词,在GeneCards数据库、NCBI基因数据库以及OMIM数据库进行人类基因检索并获得关节炎相关基因;将筛选出的药对靶点与疾病靶点输入韦恩图制作软件Venny2.1,获得共有靶点;运用STRING数据库进行PPI网络构建,Cystoscape构建“药物-成分-靶点-疾病”网络;运用R语言软件对关键靶基因进行基因本体论(GO)功能富集分析及与基因组百科全书(KEGG)通路的集分析。   结果   从TCMSP中筛选获得络石藤9种化合物成分,94个靶点;牛膝获得21种化合物成分,205个靶点。Venny映射得到128个共有靶点,STRING数据库筛选出5个基因簇和4个核心基因构建PPI网络。GO功能富集分析显示,“络石藤-牛膝”药对涉及2329条生物过程,150项分子功能相关,60项细胞组成相关。通过KEGG通路富集分析,“络石藤-牛膝”药对治疗关节炎富集到154条信号通路。  结论   基于网络药理学,从有效成分、基因靶点、信号通路等方面初步验证了“络石藤-牛膝”药对治疗关节炎的作用机制。

关键词: 络石藤; ,  , 药对; ,  , 牛膝; ,  , 关节炎; ,  , 网络药理学

Abstract: Objective  To analyze the potential mechanism of herb-pair “Trachelospermum jasminoides and Achyranthes bidentata” based on network pharmacology in Arthritis.  Methods    The effective components and target genes of “Trachelospermum jasminoides and Achyranthes bidentata” were screened by searching the pharmacological database platform of Chinese herbal medicine system (TCMSP). Setting “Arthritis” as the key word, human gene retrieval was performed in GeneCards database, NCBI gene database and OMIM database to obtain genes, which were related to Arthritis. The selected drug pair targets and disease targets were input into Venny 2.1 software to obtain common targets. The STRING database was used to construct PPI network, and the “herb-component-target-disease” network was constructed by Cytoscape. The gene ontology (GO) functional enrichment analysis and KEGG pathway analysis of key target genes were carried out by R language software.    Results   Totally, 9 compounds and 94 targets of Trachelospermum jasminoides were obtained from TCMSP, while 21 compounds and 205 targets got from Achyranthes bidentata. Venny mapping obtained 128 common targets, and a total of 5 gene clusters and 4 core genes were screened out from the STRING database to construct PPI network. The GO functional enrichment analysis showed that the herb-pair “Trachelospermum jasminoides and Achyranthes bidentata” involved 2329 biological processes, 150 molecular function correlations and 60 cell composition correlations. Through KEGG pathway enrichment analysis, “Trachelospermum jasminoides and Achyranthes bidentata” herb-pair in the treatment of Arthritis enriched a total of 154 signal pathways.   Conclusions   Based on network pharmacology, the possible mechanism of herb-pair “Trachelospermum jasminoides and Achyranthes bidentata” in the treatment of Arthritis was preliminarily verified from the aspects of active components, gene targets and signal pathways.

Key words: Trachelospermum jasminoides; ,  , Herb-pair; ,  Achyranthes bidentata; ,  , Arthritis; ,  , Network pharmacology

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