Transcriptome profiling and bioinformatic analysis of the effect of ganoderic acid T prevents Sendai virus infection

Abstract

Ganoderic acid T (GA-T) is an important triterpene of Ganoderma lucidum, which is utilized to treat viral infections. Sendai virus (SeV) is widely studied to determine the molecular biological characteristics of RNA viruses and employed to elucidate the mechanisms governing the innate immune response. However, the comprehensive mechanism governing the antiviral effects of GA-T against SeV infection remains unknown. In this study, SeV-infected host cells were treated with 16.3 μM GA-T, subsequently RNA-seq analysis was performed to screen the differentially expressed genes (DEGs). The RNA-seq data showed that GA-T treatment upregulated 934 DEGs and downregulated 1283 DEGs against viral infection, in particularly, IFNGR1, IL1A, and IL1R1 were upregulated, and mTOR, SMAD3, IFNL2 and IFNL3 were decreased. GO and KEGG analysis illustrated that DEGs were clustered in mTOR and IL-17 signalling pathways. Protein-protein interaction network analysis indicated the high degree of nodes, such as CXCL8, CSF2, CXCL1 and MYD88. Our results indicated that GA-T exerted its antiviral pharmacological effects through inhibition of the mTOR signalling pathway and adjustment of innate immunity system and the inflammatory response involving the IL-17 signalling pathway. Our results may help to elucidate the potential functions and underlying mechanisms governing the antiviral effects of GA-T.