Quantitative Analysis of Complex Drug-Drug Interactions between Cerivastatin and Metabolism/Transport Inhibitors

Yoshiaki Yao1, Kota Toshimoto1, Soo-Jin Kim1

  • 1Analysis & Pharmacokinetics Research Laboratories, Drug Discovery Research, Astellas Pharma Inc., Ibaraki, Japan (Y.Y.), and Sugiyama Laboratory, RIKEN Innovation Center, RIKEN, Kanagawa, Japan (K.T., S.K., T.Y., Y.S.).

Insights

Physiologically based pharmacokinetic models accurately predicted drug-drug interactions between cerivastatin and cyclosporine A or gemfibrozil. This approach aids in understanding and predicting cerivastatin interactions, crucial for patient safety.

Area of Science:

  • Pharmacokinetics and Drug Metabolism
  • Computational Biology and Modeling

Background:

  • Cerivastatin withdrawal due to rhabdomyolysis highlighted safety concerns.
  • Coadministration with cyclosporine A or gemfibrozil increases cerivastatin levels.
  • Cyclosporine A and gemfibrozil inhibit key transporters (OATP1B1) and enzymes (CYP3A4, CYP2C8).

Purpose of the Study:

  • To model cerivastatin drug-drug interactions (DDIs) with cyclosporine A and gemfibrozil using physiologically based pharmacokinetic (PBPK) models.
  • To evaluate the quantitative analysis of these DDIs via a bottom-up approach.

Main Methods:

  • Construction of PBPK models for cerivastatin and gemfibrozil/gemfibrozil glucuronide.
  • Optimization of drug-dependent parameters using the Cluster Newton Method.
  • Simulation of DDIs using established PBPK models and in vitro inhibition data.

Main Results:

  • PBPK models accurately described cerivastatin and gemfibrozil concentration-time profiles.
  • Initial DDI simulations underestimated observed clinical data.
  • Sensitivity analyses identified optimal in vitro parameter sets, leading to accurate DDI reproduction.

Conclusions:

  • Physiologically based pharmacokinetic models can adequately describe clinical cerivastatin DDIs using a bottom-up approach.
  • The developed modeling approach is applicable for predicting other transporter- and enzyme-mediated DDIs.

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