An integrated reactive metabolite evaluation approach to assess and reduce safety risk during drug discovery and

Melinda Reese1, Melanie Sakatis, Jeffrey Ambroso

  • 1GlaxoSmithKline, Drug Metabolism and Pharmacokinetics, Research Triangle Park, NC, USA. mindy.j.reese@gsk.com

Insights

Reducing drug bioactivation risk early in drug discovery is crucial for safer therapies. Combining in vitro bioactivation data with clinical dose effectively predicts drug-induced hepatotoxicity, improving safety assessments.

Area of Science:

  • Drug Discovery and Development
  • Toxicology
  • Medicinal Chemistry

Background:

  • Metabolic bioactivation is a key factor in drug-induced liver injury and hypersensitivity.
  • Early identification and mitigation of bioactivation risks can reduce compound attrition and enhance drug safety.

Purpose of the Study:

  • To analyze the concordance between in vitro bioactivation data, clinical dose, and clinical hepatotoxicity for marketed drugs.
  • To develop an early reactive metabolite strategy for safer drug development.

Main Methods:

  • Contingency table analysis of cytochrome P450 metabolism-dependent inhibition (CYP MDI), glutathione trapping, and microsomal covalent binding data with clinical dose and hepatotoxicity for marketed drugs.
  • Utilized data from >200 drugs for CYP MDI and glutathione trapping, and ~60 drugs for covalent binding.

Main Results:

  • Clinical daily dose ≥100mg and glutathione adduct formation were strongly associated with hepatotoxicity (p<0.0001, p=0.003).
  • Combining bioactivation data with dose significantly increased the identification of hepatotoxic drugs from 67% to 80-100%.
  • CYP MDI and glutathione adduct assays are valuable, accessible tools for early risk assessment.

Conclusions:

  • Integrating bioactivation assays (CYP MDI, glutathione trapping) with clinical dose provides a robust strategy for early prediction of drug-induced hepatotoxicity.
  • This approach can significantly reduce compound attrition and lead to safer drug therapies.
  • Hepatic transcriptomic data can offer further in vivo validation of bioactivation consequences.

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