Chinese Journal of Pharmacovigilance ›› 2023, Vol. 20 ›› Issue (2): 177-180.
DOI: 10.19803/j.1672-8629.20210700

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Mechanisms of genipin-induced hepatotoxicity by using network pharmacology and transcriptomics

WANG Xiaohui1,2, ZHANG Fan, XIA Wenbin1, WEI Yuhui1*   

  1. 1Department of Pharmacy, The First Hospital of Lanzhou University, Lanzhou Gansu 730020, China;
    2Dezhou Institute of Product Quality Standards and Metrology, Dezhou Shandong 253000, China
  • Received:2021-07-19 Online:2023-02-15 Published:2023-02-17

Abstract: Objective To explore the mechanism of genipin-induced hepatotoxicity by network pharmacology and transcriptomics. Methods Network pharmacology: Potential targets of genipin were screened by searching TCMSP, Pharmapper, Stitch and CTD databases. Meanwhile, disease-related targets were retrieved from Disgenet, CTD, PharmGKB, GeneCards and NCBI Gene databases using “Chemical and drug-induced liver injury” as the keywords. STRING was used for target interaction analysis, while Cytoscape software was used to construct a genipin-hepatotoxic target-disease network model. Finally, DAVID was used to perform GO enrichment and KEGG pathway analysis of targets of genipin-induced hepatotoxicity. Transcriptomics: Human HepaRG cells were subjected to interventions by blank and genipin medium respectively for 24 h. The Illumina high-throughput sequencing platform was used for transcriptome sequencing and bioinformatics analysis. Results Network pharmacological screening showed that genipin could act on 142 targets, 112 of which were related to hepatotoxicity. According to the protein-protein interaction (PPI) network map, there were 92 nodes and 382 edges. Enriched analysis showed that the targets of genipin-induced hepatotoxicity were mainly concentrated in PI3K/Akt signaling pathway, TNF signaling pathway, FOXO signaling pathway and NF-κB signaling pathway. Differential genes of the genipin group and control group were compared with those of the gene database, and a false discovery rate (FDR) <0.01 and Fc (fold change) ≥4 were selected as screening conditions. A total of 1 160 differential gene were found. KEGG enrichment analysis showed that the differential genes were mainly involved in TNF signaling pathway, transcription disorders, and ribosome metabolism. TNF signaling pathway played a key role in genipin-induced hepatotoxicity as was evidenced by network pharmacological results. Conclusion Genipin-induced hepatotoxicity may be related to the TNF signaling pathway, which induces inflammation, oxidative stress and cell apoptosis.

Key words: genipin, hepatotoxicity, network pharmacology, transcriptomics

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