Drug-induced oxidative stress in rat liver from a toxicogenomics perspective

Michael McMillian1, Alex Nie, J Brandon Parker

  • 1Johnson & Johnson Pharmaceutical Research and Development, LLC, Raritan, NJ 08869, USA. mmcmilli@prdus.jnj.com

Insights

Different hepatotoxicants trigger distinct gene responses in rat liver cells, revealing unique adaptation mechanisms. This study categorizes compounds based on their oxidative stress potential using gene signatures for predictive toxicology.

Area of Science:

  • Toxicology
  • Molecular Biology
  • Genomics

Background:

  • Macrophage activators (MA), peroxisome proliferators (PP), and oxidative stressors/reactive metabolites (OS/RM) are known to induce oxidative stress and hepatotoxicity in rats.
  • Despite a common outcome of oxidative stress, these three classes of hepatotoxicants elicit distinct gene transcriptional profiles in rat hepatocytes.
  • This suggests differential cellular responses and adaptation mechanisms to various oxidative stressors.

Purpose of the Study:

  • To investigate the distinct gene expression patterns induced by different classes of hepatotoxicants.
  • To utilize these unique gene signatures for categorizing compounds based on their oxidative stress potential in rat liver.
  • To explore the role of specific transcription factors in mediating differential gene responses to hepatotoxicants.

Main Methods:

  • Utilized cDNA microarrays to analyze gene transcriptional profiles of rat hepatocytes exposed to MA, PP, and OS/RM.
  • Identified distinct gene signatures associated with each class of hepatotoxicant.
  • Employed these gene signatures to categorize over 150 compounds (paradigm and proprietary) for their oxidative stress potential.

Main Results:

  • Demonstrated that MA, PP, and OS/RM produce unique gene expression profiles, indicating differential hepatocyte responses.
  • Linked these differential responses to the activation of specific transcription factors: Stat-3 and NFkB for MA, PPARa for PP, and Nrf2 for OS/RM.
  • Successfully categorized a large number of compounds based on their oxidative stress-inducing potential using established gene signatures.

Conclusions:

  • Gene expression profiling via microarrays serves as a valuable tool in predictive toxicology.
  • Distinct transcriptional profiles reflect specific cellular adaptation pathways to different oxidative stressors.
  • Analysis of gene signatures, pathways, or individual genes can provide insights into the mechanisms of compound-induced toxicity.

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