Effect of a Ketohexokinase Inhibitor (PF-06835919) on In Vivo OATP1B Activity: Integrative Risk Assessment Using

David A Tess1, Emi Kimoto2, Amanda King-Ahmad2

  • 1Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc, Cambridge, Massachusetts, USA.

Insights

PF-06835919, a ketohexokinase inhibitor (KHKi), showed dose-dependent inhibition of organic anion transporting polypeptide (OATP)1B in vivo. This study assessed drug-drug interaction risks, finding a weak effect at higher doses.

Area of Science:

  • Pharmacology
  • Drug Metabolism and Pharmacokinetics

Background:

  • PF-06835919 is a novel ketohexokinase inhibitor (KHKi) under development for metabolic and fatty liver diseases.
  • In vitro studies indicated PF-06835919 inhibits organic anion transporting polypeptide (OATP)1B1, suggesting a potential drug-drug interaction (DDI) risk.

Purpose of the Study:

  • To investigate the dose-dependent in vivo effect of KHKi on OATP1B activity.
  • To evaluate the DDI potential of PF-06835919 using atorvastatin as an OATP1B probe and coproporphyrin-I (CP-I) as a biomarker.

Main Methods:

  • An open-label study in 12 healthy participants coadministered atorvastatin (20 mg) with two KHKi doses (50 and 280 mg).
  • Assessment of atorvastatin pharmacokinetics and changes in endogenous OATP1B biomarker CP-I exposure.
  • Physiologically-based pharmacokinetic (PBPK) modeling to predict in vivo OATP1B inhibition.

Main Results:

  • Coadministration of KHKi (50 and 280 mg) resulted in increased atorvastatin exposure (AUC ratios of 1.14 and 1.54, respectively).
  • CP-I exposure increased with KHKi doses (1.12-fold and 1.49-fold for 50 and 280 mg KHKi).
  • PBPK modeling predicted 13-70% OATP1B inhibition across KHKi doses (100-600 mg) and accurately projected 'no-effect' to 'weak' DDI potential.

Conclusions:

  • PF-06835919 exhibits dose-dependent in vivo OATP1B inhibition.
  • A biomarker-informed, model-based approach effectively predicted DDI risk for KHKi at clinically relevant doses.
  • The study supports the utility of PBPK modeling and biomarkers in assessing DDI potential early in drug development.