摘要
Objective:To explore the main active components,main target genes and key pathways of"mulberry twig-cassia twig"in the treatment of rheumatoid arthritis based on network pharmacology Methods:The active components and targets of drug pairs were screened by TCMSP database and Swisstargetprediction database,and the target genes of rheumatoid arthritis were obtained by GeneCards and OMIM database,and the overlapping genes were obtained,that is,the predictive target genes of"mulberry twig-cassia twig"medicine for the treatment of rheumatoid arthritis.The"drug-active ingredient-target"network and"drug-active ingredient-target-disease"network were constructed by Cytoscape 3.7.2 software.The PPI network was constructed by String platform and the key biological processes were analyzed and screened by Cytoscape 3.7.2 software.The GO analysis and KEGG pathway analysis of predictive target genes were carried out on the Metascape website,and the bubble diagram was drawn by Omicshare platform.At the same time,those genes can used to construct the"drug-component-target-pathway"network by Cytoscape 3.7.2 software.Results:A total of 12 active components,85 predictive targets,126 KEGG pathways and 1537 GO functions were obtained.Conclusion:The main active components of"mulberry twig-cassia twig"in the treatment of rheumatoid arthritis are kaempferol,beta-sitosterol and cinnamic acid,and the main target genes may be HSP90AB1、RELA,AKT1,TNF,TLR4,PTGS2 and so on.The main KEGG pathways are TNF signal pathway,estrogen pathway,HIF-1 signal pathway,NF-κB signal pathway,PI3K-Akt signal pathway and so on.The main GO function analysis is the response to lipopolysaccharide、response to oxidative stress、cytokine-mediated signaling pathway.This study shows that the"mulberry twig-cassia twig"drug pair is through the regulation of multip-compound,multi-target,multi-pathway to treat rheumatoid arthritis,providing a theoretical basis for the follow-up study of traditional Chinese medicine in the treatment of rheumatoid arthritis.
基金
National key research and development program of China(No.2018YFC1705500)。