Mechanism of Tripterygium hypoglaucum Radix-Leonurus japonicus Herba for Treating Rheumatoid Arthritis Based on Network Pharmacology
10.13422/j.cnki.syfjx.20191941
- VernacularTitle: 基于网络药理学探讨昆明山海棠-益母草药对治疗类风湿关节炎的机制
- Author:
Li-ying ZENG
1
;
Qiang WANG
1
;
Long-yin HAN
1
;
Kai QIAN
1
;
Yan-yi DU
1
;
Wen-guang HUANG
1
;
Wen-jie GUO
1
;
Zhou-wei SHI
1
;
Min-ying LIU
2
;
Chang-song LIN
2
Author Information
1. Guangzhou University of Chinese Medicine, Guangzhou 510006, China
2. The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
- Publication Type:Research Article
- Keywords:
Tripterygium hypoglaucum radix;
Leonurus japonicus herba;
rheumatoid arthritis;
network pharmacology;
target;
signaling pathway
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2019;25(19):170-181
- CountryChina
- Language:Chinese
-
Abstract:
Objective:Computer network pharmacology technology was used to screen the main active ingredients of Tripterygium hypoglaucum radix-Leonurus japonicus herba for the treatment of rheumatoid arthritis(RA), predict the targets of the active ingredients, establish a pharmaceutical ingredient-active ingredient-target network, and further explore the potential mechanism of Tripterygium hypoglaucum radix-Leonurus japonicus herba for the treatment of RA. Method:RA disease targets were collected through DisGeNET, TTD, and Drugbank databases, the potential active components of Tripterygium hypoglaucum radix and Leonurus japonicus herba and their corresponding targets were obtained from the Chinese Medicine System Pharmacology Analysis Platform (TCMSP); common targets for drugs and diseases were screened by using the ImageGP platform; a common target interaction (PPI) network model was constructed by using the String database, a "drug-active ingredient-key target" network was constructed by using Cytoscape software, a protein interaction network was constructed by using the String database, gene function (GO) analysis and pathway enrichment analysis based on the Kyoto Gene and Genomic Encyclopedia (KEGG) were performed by using the ClueGO plug-in. Result:Through screening, 9 active pharmaceutical ingredients were obtained, involving a total of 235 targets, and 7 active ingredients were related to the disease targets. 24 common targets for Tripterygium hypoglaucum radix Leonurus japonicus herba-disease were obtained. The common targets were mainly enriched in 278 biological processes and 141 signaling pathways to play a role in the treatment of RA. Conclusion:The therapeutic effect of Tripterygium hypoglaucum radix Leonurus japonicus herba on RA reflects the characteristics of multi-component-multi-target-multi-channel of traditional Chinese medicine, and provides a scientific basis for explaining its mechanism and clinical application of RA.
