Please use this identifier to cite or link to this item: doi:10.22028/D291-36902
Title: A Physiologically Based Pharmacokinetic and Pharmacodynamic Model of the CYP3A4 Substrate Felodipine for Drug–Drug Interaction Modeling
Author(s): Fuhr, Laura Maria
Marok, Fatima Zahra
Mees, Maximilian
Mahfoud, Felix
Selzer, Dominik
Lehr, Thorsten
Language: English
Title: Pharmaceutics
Volume: 14
Issue: 7
Publisher/Platform: MDPI
Year of Publication: 2022
Free key words: physiologically based pharmacokinetic (PBPK) modeling
pharmacodynamics
felodipine
drug–drug interactions (DDIs)
cytochrome P450 3A4 (CYP3A4)
DDC notations: 500 Science
610 Medicine and health
Publikation type: Journal Article
Abstract: The antihypertensive felodipine is a calcium channel blocker of the dihydropyridine type, and its pharmacodynamic effect directly correlates with its plasma concentration. As a sensitive substrate of cytochrome P450 (CYP) 3A4 with high first-pass metabolism, felodipine shows low oral bioavailability and is susceptible to drug–drug interactions (DDIs) with CYP3A4 perpetrators. This study aimed to develop a physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) parent–metabolite model of felodipine and its metabolite dehydrofelodipine for DDI predictions. The model was developed in PK-Sim® and MoBi® using 49 clinical studies (94 plasma concentration–time profiles in total) that investigated different doses (1–40 mg) of the intravenous and oral adminis tration of felodipine. The final model describes the metabolism of felodipine to dehydrofelodipine by CYP3A4, sufficiently capturing the first-pass metabolism and the subsequent metabolism of dehydrofelodipine by CYP3A4. Diastolic blood pressure and heart rate PD models were included, using an Emax function to describe the felodipine concentration–effect relationship. The model was tested in DDI predictions with itraconazole, erythromycin, carbamazepine, and phenytoin as CYP3A4 perpetrators, with all predicted DDI AUClast and Cmax ratios within two-fold of the observed values. The model will be freely available in the Open Systems Pharmacology model repository and can be applied in DDI predictions as a CYP3A4 victim drug.
DOI of the first publication: 10.3390/pharmaceutics14071474
Link to this record: urn:nbn:de:bsz:291--ds-369027
hdl:20.500.11880/33595
http://dx.doi.org/10.22028/D291-36902
ISSN: 1999-4923
Date of registration: 8-Aug-2022
Description of the related object: Supplementary Materials
Related object: https://www.mdpi.com/article/10.3390/pharmaceutics14071474/s1
Faculty: M - Medizinische Fakultät
NT - Naturwissenschaftlich- Technische Fakultät
Department: M - Innere Medizin
NT - Pharmazie
Professorship: M - Prof. Dr. Michael Böhm
NT - Prof. Dr. Thorsten Lehr
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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