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Published on: July 18, 2019
The idiosyncratic drug-induced gene expression changes in HepG2 cells
J Jiang1, K Mathijs1, L Timmermans1
1Department of Toxicogenomics, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands.
Abstract:
The inflammatory stress has been associated with an increase in susceptibility to idiosyncratic drug-induced liver injury (DILI). However, the molecular mechanisms of this inflammation-associated idiosyncratic drug hepatotoxicity remain unknown. We exposed HepG2 cells with high and low doses of three idiosyncratic (I) and three non-idiosyncratic (N) compounds, in the presence (I+ and N+) or absence (I- and N-) of a cytokine mix for 6, 12 and 24 h. To investigate the genome-wide expression patterns, microarray was performed using the Agilent 4×44K Whole Human Genome chips. The data presented in this DIB include the expression of genes participating in the ceramide metabolism, ER stress, apoptosis and cell survival pathways. The functions of these genes were illustrated in our associated article (Jiang et al., 2017) [1]. Raw and normalized gene expression data are available through NCBI GEO (accession number GSE102006).
Insights
Inflammation increases susceptibility to drug-induced liver injury (DILI). This study investigated molecular mechanisms by analyzing gene expression in HepG2 cells exposed to various compounds and cytokines, revealing insights into ceramide metabolism and ER stress.
Area of Science:
- Hepatology
- Toxicology
- Molecular Biology
Background:
- Inflammatory stress is linked to increased susceptibility to idiosyncratic drug-induced liver injury (DILI).
- The precise molecular mechanisms underlying inflammation-associated idiosyncratic drug hepatotoxicity are not fully understood.
Purpose of the Study:
- To investigate the genome-wide gene expression patterns in response to idiosyncratic and non-idiosyncratic compounds under inflammatory conditions.
- To elucidate the molecular mechanisms of inflammation-associated idiosyncratic drug hepatotoxicity.
Main Methods:
- HepG2 cells were treated with high and low doses of idiosyncratic and non-idiosyncratic compounds.
- Cells were exposed in the presence or absence of a cytokine mix for 6, 12, and 24 hours.
- Microarray analysis using Agilent 4×44K Whole Human Genome chips was performed to assess genome-wide expression patterns.
Main Results:
- The study identified changes in gene expression related to ceramide metabolism, endoplasmic reticulum (ER) stress, apoptosis, and cell survival pathways.
- Differential gene expression patterns were observed between idiosyncratic and non-idiosyncratic compounds, particularly under inflammatory conditions.
- The data provide insights into the molecular pathways affected by drug exposure and inflammation.
Conclusions:
- Inflammation significantly influences the cellular response to drug compounds, impacting pathways crucial for liver cell survival and death.
- Understanding these molecular mechanisms is vital for predicting and preventing idiosyncratic drug-induced liver injury.
- The findings contribute to the knowledge base of drug hepatotoxicity and provide valuable data for further research.
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