Physiologically Based Pharmacokinetic Modeling of Metoprolol Enantiomers and α-Hydroxymetoprolol to Describe CYP2D6 Drug-Gene Interactions

Physiologically Based Pharmacokinetic Modeling of Metoprolol Enantiomers and α-Hydroxymetoprolol to Describe CYP2D6 Drug-Gene Interactions

The beta-blocker metoprolol (the sixth most commonly prescribed drug in the USA in 2017) is subject to considerable drug–gene interaction (DGI) effects caused by genetic variations of the <i>CYP2D6</i> gene. CYP2D6 poor metabolizers (5.7% of US population) show approximately five-fold hi...

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Bibliographic Details
Main Authors: Simeon Rüdesheim, Jan-Georg Wojtyniak, Dominik Selzer, Nina Hanke, Felix Mahfoud, Matthias Schwab, Thorsten Lehr
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Pharmaceutics
Subjects:
physiologically based pharmacokinetic (PBPK) modeling
metoprolol
metoprolol enantiomers
α-hydroxymetoprolol
drug-gene interactions (DGIs)
cytochrome P450 2D6 (CYP2D6)
Online Access:https://www.mdpi.com/1999-4923/12/12/1200

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