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. 2021 Jun;87(6):2572-2588.
doi: 10.1111/bcp.14667. Epub 2020 Dec 14.

Evaluation of clinical and genetic factors in the population pharmacokinetics of carbamazepine

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Evaluation of clinical and genetic factors in the population pharmacokinetics of carbamazepine

Vincent L M Yip et al. Br J Clin Pharmacol. 2021 Jun.

Abstract

Aims: Carbamazepine can cause hypersensitivity reactions in ~10% of patients. An immunogenic effect can be produced by the electrophilic 10,11-epoxide metabolite but not by carbamazepine. Hypothetically, certain single nucleotide polymorphisms might increase the formation of immunogenic metabolites, leading ultimately to hypersensitivity reactions. This study explores the role of clinical and genetic factors in the pharmacokinetics (PK) of carbamazepine and 3 metabolites known to be chemically reactive or formed through reactive intermediates.

Methods: A combination of rich and sparse PK samples were collected from healthy volunteers and epilepsy patients. All subjects were genotyped for 20 single nucleotide polymorphisms in 11 genes known to be involved in the metabolism or transport of carbamazepine and carbamazepine 10,11-epoxide. Nonlinear mixed effects modelling was used to build a population-PK model.

Results: In total, 248 observations were collected from 80 subjects. A 1-compartment PK model with first-order absorption and elimination best described the parent carbamazepine data, with a total clearance of 1.96 L/h, central distribution volume of 164 L and absorption rate constant of 0.45 h-1 . Total daily dose and coadministration of phenytoin were significant covariates for total clearance of carbamazepine. EPHX1-416G/G genotype was a significant covariate for the clearance of carbamazepine 10,11-epoxide.

Conclusion: Our data indicate that carbamazepine clearance was affected by total dose and phenytoin coadministration, but not by genetic factors, while carbamazepine 10,11-epoxide clearance was affected by a variant in the microsomal epoxide hydrolase gene. A much larger sample size would be required to fully evaluate the role of genetic variation in carbamazepine pharmacokinetics, and thereby predisposition to carbamazepine hypersensitivity.

Keywords: carbamazepine; population pharmacokinetics; single nucleotide polymorphisms.

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Conflict of interest statement

M.P. receives research funding from various organisations including the MRC, NIHR, EU Commission and Health Education England. He has also received partnership funding for the following: MRC Clinical Pharmacology Training Scheme (cofunded by MRC and Roche, UCB, Eli Lilly and Novartis); a PhD studentship jointly funded by EPSRC and Astra Zeneca; and grant funding from VistaGen Therapeutics. He has also unrestricted educational grant support for the UK Pharmacogenetics and Stratified Medicine Network from Bristol‐Myers Squibb and UCB. He has developed an HLA genotyping panel with MC Diagnostics, but does not benefit financially from this. None of the funding declared above has been used for the current paper.

Figures

FIGURE 1
FIGURE 1
Proposed pathways for the oxidative bioactivation of carbamazepine in humans. The P450 isoforms shown are those reported to be the most active catalysts for the biotransformations. The depiction of the 2,3‐arene oxide as the sole product of aromatic epoxidation is purely representational; the number of arene oxides formed is unknown. The metabolic hydrolysis of carbamazepine 10,11‐epoxide is catalysed by microsomal epoxide hydrolase
FIGURE 2
FIGURE 2
Schematic of the pharmacokinetic model for carbamazepine
FIGURE 3
FIGURE 3
Goodness of fit diagnostic plots for of carbamazepine and metabolites (as labelled by row): (A) Observed concentrations (mM) vs population predicted concentrations (mM); (B) Observed concentrations (mM) vs individual predicted concentrations (mM); (C) Conditional weighted residuals vs population predicted concentrations (mM); (D) Conditional weighted residuals vs time after dose (h)
FIGURE 4
FIGURE 4
Prediction‐corrected visual predictive check for the final pharmacokinetic model fitting for each of the analytes. 90% prediction interval (broken line) and median population prediction (continuous line) determined from 1000 simulations for CBZ with the covariate values of those individuals used in the model building process. CBZ: carbamazepine; CBZE: carbamazepine‐10,11‐epoxide; 2OH‐CBZ: 2‐hydroxy‐carbamazepine; 3OH‐CBZ ‐ 3‐hydroxy‐carbamazepine

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