Mechanism and drug prediction of intestinal flora intervention in rheumatoid arthritis based on bioinformatics
10.3969/j.issn.1000-484X.2025.03.002
- VernacularTitle:基于生物信息学方法探讨肠道菌群干预类风湿关节炎的机制及药物预测
- Author:
Erfan BU
1
;
Chuanhai ZHANG
;
Zhenyi YU
;
Jiaqi WU
;
Liang LIU
;
Hudan PAN
Author Information
1. 澳门科技大学中医药学院,澳门 999078
- Publication Type:Journal Article
- Keywords:
Bioinformatics;
Rheumatoid arthritis;
Intestinal flora disorder;
Drug prediction;
Target protein
- From:
Chinese Journal of Immunology
2025;41(3):522-528
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the correlation between intestinal flora disturbance and the diagnosis,treatment of rheumatoid arthritis(RA),and to provide bioinformatics basis for further research on precise targeted intervention of RA.Methods:Genes related to intestinal flora disorders and RA genes were downloaded from disease database.Correlation between the two diseases was analyzed via bioinformatics approach.PPI network was conducted by STRING,Cytoscape and their plug-ins,and key genes were screened.Key genes were mapped into Coremine Medicinal to identify medicinal chemicals and medicinal herbs.Results:A total of 525 genes shared by intestinal flora disorders and RA were obtained through integrated screening of the disease database,and key genes with the highest degree of protein interaction were finally selected,namely IL-6,IL-1β,TNF-α,IL-10,STAT3,STAT1 and RELA.These related tar-geted genes were mainly involved in biological processes such as negative feedback regulation and antigen stimulation,and mediate molecular functions such as lipopolysaccharide receptor binding and NF-κB receptor binding,which are mainly concentrated in the plasma membrane region.KEGG analysis showed that these related genes were mainly involved in classical signaling pathways such as IL-17 pathway and Toll-like receptor pathway.Through drug prediction,it was found that Astragalus,Scutellaria,Schisandra and Cop-tis in traditional Chinese medicine might be potential drug sources for RA treatment.Conclusion:Bioinformatics method can predict key genes and signaling pathways of intestinal flora intervention in pathogenesis and progression of RA,and predict the Chinese herbs that may target the regulation of flora for treatment of risk factors,which providing a theoretical basis for further exploration of targeted treatment of RA.
