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Published on: December 3, 2020
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.
Abstract:
Cerivastatin (CER) was withdrawn from the world market because of lethal rhabdomyolysis. Coadministrations of CER and cyclosporine A (CsA) or gemfibrozil (GEM) have been reported to increase the CER blood concentration. CsA is an inhibitor of organic anion transporting polypeptide (OATP)1B1 and CYP3A4, and GEM and its glucuronide (GEM-glu) inhibit OATP1B1 and CYP2C8. The purpose of this study was to describe the transporter-/enzyme-mediated drug-drug interactions (DDIs) of CER with CsA or GEM based on unified physiologically based pharmacokinetic (PBPK) models and to investigate whether the DDIs can be quantitatively analyzed by a bottom-up approach. Initially, the PBPK models for CER and GEM/GEM-glu were constructed based on the previously reported standard protocols. Next, the drug-dependent parameters were optimized by Cluster Newton Method. Thus, described concentration-time profiles for CER and GEM/GEM-glu agreed well with the clinically observed data. The DDIs were then simulated using the established PBPK models with previously obtained in vitro inhibition constants of CsA or GEM/GEM-glu against the OATP1B1 and cytochrome P450s. DDIs with the inhibitors were underestimated compared with observed data using the geometric means of reported values. To search for better described parameters within the range of in vitro values, sensitivity analyses were performed for DDIs of CER. Using the in vitro parameter sets selected by sensitivity analyses, these DDIs were well reproduced, indicating that the present PBPK models were able to describe adequately the clinical DDIs based on a bottom-up approach. The approaches in this study would be applicable to the prediction of other DDIs involving both transporters and metabolic enzymes.
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