文献类型：期刊文献

英文题名：Transcriptome profiling and bioinformatic analysis of the effect of ganoderic acid T prevents Sendai virus infection

作者：Jiang, Liying[1,2];Zhang, Wei[3];Zhai, Dan-Dan[4];Wan, Guoqing[1,2];Xia, Shengli[1,2];Meng, Jihong[8];Shi, Ping[3];Chen, Nianhong[3,5,6,7]

机构：[1]Shanghai Univ Med & Hlth Sci, Zhoupu Hosp Pudong New Area, Shanghai 201318, Peoples R China;[2]Shanghai Univ Med & Hlth Sci, Jiading Dist Cent Hosp, Shanghai 201318, Peoples R China;[3]East China Univ Sci & Technol, State Key Lab Bioreactor Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[4]Henan Univ Technol, Coll Biol Engn, Zhengzhou 450001, Peoples R China;[5]Jinan Univ, Shenzhen Peoples Hosp, Ctr Lab Longhua Branch, Clin Med Coll 2, Shenzhen 518020, Peoples R China;[6]Jinan Univ, Shenzhen Peoples Hosp, Dept Infect Dis, Clin Med Coll 2, Shenzhen, Peoples R China;[7]Med Sch Shenzhen Univ, Guangdong Prov Key Lab Reg Immun & Dis, Shenzhen, Peoples R China;[8]Southeast Univ, Sch Med, Dept Microbiol & Immunol, Med Sch, 87 Dingjiaqiao Rd, Nanjing 210009, Peoples R China

年份：2023

卷号：862

外文期刊名：GENE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000942468700001)】；

基金：This work was supported by the Shanghai Municipal Health Com-mission (201840297) and the funding from the Shanghai Municipal Education Commission-Young Teacher Training Projection Program (ZZJKYX18004) . This work was also sponsored by grants from the Na-tional Natural Science Foundation of China (31671309) .

语种：英文

外文关键词：Ganoderic acid T; Transcriptomic profiling; Sendai virus; Immune processes

摘要：Ganoderic acid T (GA-T) is an important triterpene of Ganoderma lucidum, which is utilized to treat viral in-fections. 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 mu M 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 upregu-lated, 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.