Analysis of time-series gene expression data to explore mechanisms of isoniazid-induced liver toxicity.
Zi-Zhao Tian, Chenxi Zhou, Wei Zhou, Mo Li, Yunpeng Chu, Cong Huai, Sheng-Ying Qin
PubMed · 2022-06
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.
MeSH terms
- Isoniazid
- Gene
- Liver injury
- Gene expression
- Gene expression profiling
- Toxicity
- Hepatocyte
- Biology
- Drug
- Pharmacology
- Tuberculosis
- Computational biology
- Bioinformatics
- Genetics