神经药理学报 ›› 2024, Vol. 14 ›› Issue (2): 26-.DOI: 10.3969/j.issn.2095-1396.2024.02.005

• 研究论文 • 上一篇    下一篇

基于网络药理学方法探讨白芍治疗癫痫的活性成分和作用机制

夏蕾,尤斯涵,殷宏艳,郝军荣,郭春燕   

  1. 1. 河北北方学院药学院,张家口,075000,中国 

    2. 河北省神经药理学重点实验室,张家口,075000,中国

  • 出版日期:2024-04-26 发布日期:2024-07-11
  • 作者简介:夏蕾,研究方向:主要从事网络药理学研究;E-mail:852547531@qq.com
  • 基金资助:
    河北省创新创业教育教学改革研究与实践项目(No.2023cxcy159)

Exploring the Active Ingredients and Mechanism of Action of Paeoniae Radix Alba in the Treatment of Epilepsy Based on Network Pharmacology Methods

XIA Lei, YOU Si-han, YIN Hong-yan, HAO Jun-rong, GUO Chun-yan   

  1. 1. Department of Pharmacy, Hebei North University, Zhangjiakou, 075000, China 

    2. Hebei Key Laboratory of Neuropharmacology, Zhangjiakou, 075000, China

  • Online:2024-04-26 Published:2024-07-11

摘要:

目的:通过网络药理学的方法探讨白芍治疗癫痫的活性成分及作用机制。方法:通过中医药百科全书数 据库获取并筛选白芍的活性成分及作用靶点;在 GeneCards、OMIM、 DisGeNET数据库收集癫痫相关基因。取 白芍活性成分靶点与癫痫疾病靶点的交集后用STRING数据库构建蛋白质互作网络,用Cytoscape 3.9.1软件进 行可视化分析,通过Centiscape 2.2插件筛选核心靶点,并用David数据库进行基因本体功能(gene ontology, GO) 注释和京都基因与基因百科全书(Kyoto Encyclopedia of Genes and Genomes, KEGG)通路富集分析,最后用 Cytoscape 3.9.1软件构建药物-成分-靶点网络图。结果:白芍活性成分靶点158个,癫痫的疾病靶点2 398个,白 芍与癫痫交集基因38个,GO富集分析得到BP 136个条目,CC 41个条目,MF 49个条目,KEGG分析得到106条通 路。结论:白芍可能是通过作用于TNF、Akt1、ALB、HSP90AA1等38个靶点,抑制AGE-RAGE、NF-kappa B等信 号通路,从而在抗炎方面治疗癫痫。

关键词: 网络药理学, 白芍, 癫痫, 活性成分, 作用机制

Abstract:

Objective:To explore the active ingredients and mechanism of action of Paeoniae Radix Alba in the treatment of epilepsy through network pharmacology. Methods: Obtain and screen the active ingredients and targets of Paeoniae Radix Alba from the Encyclopedia of Traditional Chinese Medicine database; Collect epilepsy related genes in GeneCards, OMIM, and DisGeNET databases. After taking the intersection of the active ingredient targets of Paeoniae Radix Alba and epilepsy disease targets, a protein interaction network was constructed using the STRING database. Then, visualization analysis was performed using Cytoscape 3.9.1 software. Core targets were screened using the Centiscape 2.2 plugin, and gene ontology functional annotation (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using the David database, Finally, use Cytoscape 3.9.1 software to construct a drug component target network diagram. Results: There were 158 active ingredient targets in Paeoniae Radix Alba, 2398 disease targets in epilepsy, 38 intersection genes between Paeoniae Radix Alba and epilepsy, and GO enrichment analysis yielded BP136 entries, CC41 entries, MF49 entries. KEGG analysis revealed 106 pathways. Conclusion: Paeoniae Radix Alba may act on 38 targets such as TNF, Akt1, ALB, and HSP90AA1, inhibiting signaling pathways such as AGE-RAGE and NF kappa B, thereby treating epilepsy in terms of anti-inflammatory effects.

Key words: network pharmacology, Paeoniae Radix Alba, epilepsy, active ingredients, mechanism of action

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