Oxidative stress/reactive metabolite gene expression signature in rat liver detects idiosyncratic hepatotoxicants

Angelique Leone1, Alex Nie1, J Brandon Parker1

  • 1Preclinical Development & Safety, Janssen Pharmaceutical Research and Development, LLC, Welsh & McKean Roads, Spring House, PA 19477, USA.

Insights

A novel gene expression signature identifies drugs causing oxidative stress (OS) and reactive metabolites (RM). This signature successfully flagged 28 compounds, many linked to idiosyncratic hepatotoxicity, aiding in the development of safer drug candidates.

Area of Science:

  • Toxicology
  • Pharmacology
  • Genomics

Background:

  • A previously identified gene expression signature detects oxidative stress (OS) related to reactive metabolites (RM) in rat liver.
  • Initial studies identified OS/RM-producing drugs including disulfiram, ethinyl estradiol, nimesulide, flutamide, phenacetin, and sulindac.
  • Antiepileptic drugs like felbamate, carbamazepine, and phenobarbital were also found to induce OS/RM gene expression.

Purpose of the Study:

  • To validate and expand the use of the OS/RM gene expression signature in identifying new drug candidates.
  • To assess a broader range of drugs for their potential to induce OS/RM and associated hepatotoxicity.
  • To determine the utility of the OS/RM signature in predicting idiosyncratic hepatotoxicity.

Main Methods:

  • Analysis of liver RNA samples from rats treated with 97 different drugs.
  • Statistical fitting of gene expression data to the established OS/RM signature.
  • Correlation of identified OS/RM-producing drugs with known instances of idiosyncratic hepatotoxicity.

Main Results:

  • The OS/RM signature identified 19 additional drugs, bringing the total to 28 compounds.
  • Notable identified drugs include chlorpromazine, clozapine, tamoxifen, and valproic acid.
  • All identified OS/RM-producing drugs, except chloramphenicol, are linked to idiosyncratic hepatotoxicity.

Conclusions:

  • The OS/RM gene expression signature is a valuable tool for identifying drugs that cause oxidative stress and reactive metabolites.
  • This signature can help predict and potentially avoid idiosyncratic hepatotoxicity in drug development.
  • The findings support the use of this signature to screen drug candidates for liver toxicity risks.

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