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Hereditas(Beijing) ›› 2022, Vol. 44 ›› Issue (6): 501-509.doi: 10.16288/j.yczz.22-069

• Research Article • Previous Articles     Next Articles

Analysis of time-series gene expression data to explore mechanisms of isoniazid-induced liver toxicity

Zizhao Tian(), Chenxi Zhou, Wei Zhou, Mo Li, Yunpeng Chu, Cong Huai(), Shengying Qin()   

  1. Bio-X Institute, Shanghai Jiaotong University, Shanghai 200030, China
  • Received:2022-03-10 Revised:2022-04-26 Online:2022-06-20 Published:2022-05-11
  • Contact: Huai Cong,Qin Shengying E-mail:tianzizhao@sjtu.edu.cn;huaic@sjtu.edu.cn;chinsir@sjtu.edu.cn
  • Supported by:
    Supported by the National Nature Science Foundation of China Nos(81773818);Supported by the National Nature Science Foundation of China Nos(82003856)

Abstract:

Isoniazid (INH) is a first-line anti-tuberculosis drug which can cause idiosyncratic liver injury, while the underlying mechanisms need to be further elucidated. In this study, we explored the time series gene expression profiling of a hepatocyte cell line under isoniazid treatment. Through cluster analysis and enrichment analysis of differentially expressed genes, we revealed a total of 6 gene clusters and a series of pathways related to hepatotoxicity, and 13 key candidate genes were identified according to the protein-protein interaction (PPI) network analysis and maSigPro analysis. These findings lay a foundation for understanding the mechanisms of isoniazid -induced liver toxicity and provide new target genes for the monitoring and treatment of INH-induced hepatotoxicity in the future.

Key words: isoniazid, hepatocytes, liver toxicity, time series analysis