Population variability in the pharmacokinetics of terfenadine: the case for a pseudo-polymorphism with clinical implications

Virtual Clinical Trial Toward Polytherapy Safety Assessment: Combination of Physiologically Based Pharmacokinetic/Pharmacodynamic-Based Modeling and Simulation Approach With Drug-Drug Interactions Involving Terfenadine as an Example

A Quantitative Systems Pharmacology approach was utilized to predict the cardiac consequences of drug-drug interaction (DDI) at the population level. The Simcyp in vitro-in vivo correlation and physiologically based pharmacokinetic platform was used to predict the pharmacokinetic profile of terfenadine following co-administration of the drug. Electrophysiological effects were simulated using the Cardiac Safety Simulator. The modulation of ion channel activity was dependent on the inhibitory potential of drugs on the main cardiac ion channels and a simulated free heart tissue concentration. ten Tusscher's human ventricular cardiomyocyte model was used to simulate the pseudo-ECG traces and further predict the pharmacodynamic consequences of DDI. Consistent with clinical observations, predicted plasma concentration profiles of terfenadine show considerable intra-subject variability with recorded C_max values below 5 ng/mL for most virtual subjects. The pharmacokinetic and pharmacodynamic effects of inhibitors were predicted with reasonable accuracy. In all cases, a combination of the physiologically based pharmacokinetic and physiology-based pharmacodynamic models was able to differentiate between the terfenadine alone and terfenadine + inhibitor scenario. The range of QT prolongation was comparable in the clinical and virtual studies. The results indicate that mechanistic in vitro-in vivo correlation can be applied to predict the clinical effects of DDI even without comprehensive knowledge on all mechanisms contributing to the interaction.

Drug interactions with grapefruit juice

Some drugs demonstrate a significantly greater (up to 3-fold) mean oral bioavailability on coadministration with grapefruit juice. With some calcium antagonists, the benzodiazepines midazolam and triazolam and the antihistamine terfenadine, changes in bioavailability are accompanied by altered drug action. Study design factors possibly contribute to the magnitude of changes in drug bioavailability; they include the source of the citrus, its intake schedule, drug formulations and individual metabolising capacity. The components of citrus juice that are responsible for clinical drug interactions have yet to be fully determined. Based on the flavonoid naringin's unique distribution in the plant kingdom, abundance in grapefruit and ability to inhibit metabolic enzymes, naringin is likely to be one of the grapefruit components influencing drug metabolism. Other components present in citrus fruit, such as furanocoumarins, may be more potent inhibitors than flavonoids and are under investigation. Conclusions drawn from clinical drug interaction studies should be considered specific to the citrus fruit products evaluated because of the variation in their natural product content. The predominant mechanism for enhanced bioavailability is presumably the inhibition of oxidative drug metabolism in the small intestine. The consistent findings across studies of diverse cytochrome P450 (CYP) 3A substrates support the mechanistic hypothesis that 1 or more grapefruit juice components inhibit CYP3A enzymes in the gastrointestinal tract. The evaluation of the need to avoid the concomitant intake of grapefruit products with drugs is best done on an individual drug basis rather than collectively by drug class. Based on the narrow therapeutic range of cyclosporin and research experience in organ transplant recipients, its interaction with grapefruit juice is likely to be clinically significant.

Grapefruit juice alters the systemic bioavailability and cardiac repolarization of terfenadine in poor metabolizers of terfenadine

A prospective cohort study was conducted to examine the effects of double-strength grapefruit juice on the pharmacokinetics and electrocardiographic repolarization pharmacodynamics of terfenadine in poor metabolizers of terfenadine. Six healthy volunteers who were previously found to be poor metabolizers of terfenadine were studied, with each participant serving as his or her own control. In phase I of the study, terfenadine was given to participants at recommended dosages until steady state was achieved (60 mg twice daily for 7 days). In phase II, participants began receiving concomitant twice-daily, double-strength servings of grapefruit juice for 7 days. Serial pharmacokinetic and pharmacodynamic determinations were made after each phase of the study. The main outcome measures were serum concentrations of terfenadine and terfenadine acid metabolite, and corrected QT intervals as determined by 12-lead electrocardiogram. Significant changes occurred in time to maximum concentration (t(max)) and area under the concentration-time curve (AUC) of terfenadine and terfenadine acid metabolite after addition of grapefruit juice. All participants had detectable concentrations of unmetabolized terfenadine at the end of Phase I, which were quantified in three of the six participants. Further, all participants had increased and quantifiable levels of unmetabolized terfenadine after addition of grapefruit juice that were associated with prolongation of the QT interval relative to the baseline control period without terfenadine. Grapefruit juice did not alter the elimination half-life (t1/2) of terfenadine acid metabolite. Because of the intraindividual variability in the pharmacokinetics of terfenadine, further study is needed to confirm these results.