CPT: Pharmacometrics & Systems Pharmacology (Feb 2024)

Use of physiologically‐based pharmacokinetic modeling to understand the effect of omeprazole administration on the pharmacokinetics of oral extended‐release nifedipine

  • Ming‐Liang Tan,
  • Zongming Gao,
  • Andrew Babiskin,
  • Myong‐Jin Kim,
  • Lanyan Fang,
  • Lei Zhang,
  • Liang Zhao

DOI
https://doi.org/10.1002/psp4.13075
Journal volume & issue
Vol. 13, no. 2
pp. 247 – 256

Abstract

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Abstract Proton pump inhibitors (PPIs) can affect the release of drugs from their dosage forms in vivo by elevating the gastric pH. Our recent clinical study has demonstrated that drug–drug interactions (DDIs) exist between a PPI, omeprazole, and nifedipine extended‐release formulations, where systemic exposure of nifedipine was increased in subjects after multiple‐dose pretreatment of omeprazole. However, the mechanism of the observed DDIs between omeprazole and nifedipine has not been well‐understood, as the DDI may also be mediated through CYP3A4 enzyme inhibition in addition to the elevated gastric pH caused by omeprazole. This study used physiologically‐based pharmacokinetic (PBPK) modeling and simulations to investigate the underlying mechanism of these complex DDIs. A formulation exhibiting differences in in vitro dissolution across physiological pH range and another formulation where pH does not impact dissolution appreciably (e.g., an osmotic pump) were chosen to characterize the potential impact of pH. The PBPK models incorporated two‐stage in vitro release profiles via US Pharmacopeia 2 apparatus. PBPK simulations suggest that the elevated gastric pH following multiple‐dose administration of omeprazole has a minimal effect on nifedipine pharmacokinetics (PKs), whereas CYP3A4‐mediated DDI is likely the main driver to the observed change of nifedipine PKs in the presence of omeprazole. Compared to the osmotic formulation, the slightly increased exposure of nifedipine can be accounted for by the enhanced drug release in the pH‐dependent formulation. The reported model‐based approach may be useful in DDI risk assessments, product formulation designs, and bioequivalence evaluations.