Effect of nephrotoxicants and hepatotoxicants on gene expression profile in human peripheral blood mononuclear cells

Shruta S Dadarkar1, Lyle C Fonseca, Arvind D Thakkar

  • 1The Department of Pharmacology, Piramal Life Sciences Limited, Mumbai 400063, Maharashtra, India. shruta.dadarkar@piramal.com

Insights

Peripheral blood cells can reveal unique gene expression patterns indicating specific organ toxicity from drugs. This toxicogenomics approach offers a new way to identify drug-induced toxicity.

Area of Science:

  • Toxicogenomics
  • Molecular Toxicology
  • Biomarker Discovery

Background:

  • Peripheral blood transcriptome analysis is a promising area in toxicogenomics for identifying translational toxicity markers.
  • Xenobiotics causing toxicity via similar mechanisms often produce distinct gene expression patterns.
  • Accessible surrogate tissues like blood are valuable for studying drug-induced perturbations.

Purpose of the Study:

  • To assess the transcriptomic response of human peripheral blood mononuclear cells (hPBMC) to drug-induced toxicity.
  • To derive gene expression patterns indicative of specific organ (kidney or liver) injury.
  • To identify a gene signature for differentiating drug-induced kidney versus liver toxicity.

Main Methods:

  • Exposure of hPBMC to conventional drugs known to cause kidney or liver injury.
  • Classification of drugs into kidney-affecting and liver-affecting groups.
  • Gene expression analysis and hierarchical clustering to identify distinct patterns.

Main Results:

  • Drug exposure altered the transcriptional profile of hPBMC.
  • A set of 365 genes was identified that can discriminate between kidney- and liver-targeting drugs.
  • Unique gene expression patterns indicative of specific organ toxicity were deduced.

Conclusions:

  • Transcriptional profiling of hPBMC can reflect drug-induced organ toxicity.
  • The identified gene signature patterns hold potential for qualifying and identifying drug-induced toxicity.
  • This approach may advance the development of predictive biomarkers for drug safety.

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