Incorporating in vitro information on drug metabolism into clinical trial simulations to assess the effect of CYP2D6 polymorphism on pharmacokinetics and pharmacodynamics: Dextromethorphan as a model application

Gemma L. Dickinson, Saeed Rezaee, Nicholas J. Proctor, Martin S. Lennard, Geoffrey T. Tucker, Amin Rostami-Hodjegan

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In vitro-in vivo extrapolation of clearance, embedded in a clinical trial simulation, was used to investigate differences in the pharmacokinetics and pharmacodynamics of dextromethorphan between CYP2D6 poor and extensive metabolizer phenotypes. Information on the genetic variation of CYP2D6, as well as the in vitro metabolism and pharmacodynamics of dextromethorphan and its active metabolite dextrorphan, was integrated to assess the power of studies to detect differences between phenotypes. Whereas 6 subjects of each phenotype were adequate to achieve 80% power in showing pharmacokinetic differences, the power required to detect a difference in antitussive response was less than 80% with 500 subjects in each study arm. Combining in vitro-in vivo extrapolation with a clinical trial simulation is useful in assessing different elements of study design and could be used a priori to avoid inconclusive pharmacogenetic studies. ©2007 the American College of Clinical Pharmacology.
    Original languageEnglish
    Pages (from-to)175-186
    Number of pages11
    JournalJournal of Clinical Pharmacology
    Volume47
    Issue number2
    DOIs
    Publication statusPublished - Feb 2007

    Keywords

    • Clinical trial simulation
    • Cytochrome P450
    • In silico
    • Pharmacogenetics
    • Polymorphic drug metabolism

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