Population Pharmacokinetics and Model-Informed Precision Dosing of Clobazam Based on the Developmental and Genetic Characteristics of Children with Epilepsy
- PMID: 40733022
- PMCID: PMC12300161
- DOI: 10.3390/pharmaceutics17070813
Population Pharmacokinetics and Model-Informed Precision Dosing of Clobazam Based on the Developmental and Genetic Characteristics of Children with Epilepsy
Abstract
Background/Objectives: This study aimed to characterize the pharmacokinetic profiles of clobazam (CLB) and its active metabolite, N-desmethylclobazam (N-CLB), by establishing a population pharmacokinetic (PPK) model in Chinese children with epilepsy to propose individualized dosing regimens that achieve better clinical outcomes. Methods: This study examined plasma samples collected from 103 pediatric patients with refractory epilepsy undergoing CLB treatment. The plasma concentrations of CLB and its active metabolite N-CLB were measured. The developmental characteristics, CYP2C19 genotype, concomitant medications, and liver and kidney function indicators of the children with epilepsy were considered potential factors affecting the pharmacokinetic characteristics of CLB and N-CLB and analyzed using a PPK modeling approach. Results: A total of 156 samples were attained for PPK model development. The pharmacokinetic profiles of CLB and N-CLB were described using a tandem one-compartment model with first-order elimination. Body weight and CYP2C19 genotype showed statistical significance for CLB and/or N-CLB clearance. The N-CLB/CLB metabolic ratios of AUC24h, Cmin, and Cmax in a steady state were as follows: normal metabolizers (NMs) < intermediated metabolizers (IMs) < poor metabolizers (PMs). The final model achieved good prediction performance and stability. Monte Carlo simulations demonstrated that the trough concentrations of CLB and N-CLB in children with epilepsy could reach satisfactory target values under varying dose regimens in CYP2C19 NMs and IMs, whereas there was a failure to achieve the desired trough concentrations of CLB and N-CLB simultaneously in CYP2C19 PMs due to the accumulation of N-CLB. Conclusions: Body weight and CYP2C19 genotype had an impact on CLB and/or N-CLB clearance in children with epilepsy. To ensure safe treatment, it is recommended to use the concentration of N-CLB as the target indicator for therapeutic drug monitoring and dose adjustments in CYP2C19 PMs. These results provide evidence for guiding the precise use of CLB.
Keywords: CYP2C19 genotype; body weight; children; clobazam; dosing optimization; population pharmacokinetics.
Conflict of interest statement
The authors declare no conflict of interest.
Figures






Similar articles
-
ABCC2 as a novel covariate influencing oxcarbazepine pharmacokinetics in pediatric epilepsy: Insights from population modeling.Drug Metab Dispos. 2025 Jun;53(6):100090. doi: 10.1016/j.dmd.2025.100090. Epub 2025 May 2. Drug Metab Dispos. 2025. PMID: 40424646
-
Amitriptyline Therapy and CYP2D6 and CYP2C19 Genotype.2017 Mar 23 [updated 2025 Jun 23]. In: Pratt VM, Scott SA, Pirmohamed M, Esquivel B, Kattman BL, Malheiro AJ, editors. Medical Genetics Summaries [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2012–. 2017 Mar 23 [updated 2025 Jun 23]. In: Pratt VM, Scott SA, Pirmohamed M, Esquivel B, Kattman BL, Malheiro AJ, editors. Medical Genetics Summaries [Internet]. Bethesda (MD): National Center for Biotechnology Information (US); 2012–. PMID: 28520380 Free Books & Documents. Review.
-
Population Pharmacokinetics of Epcoritamab Following Subcutaneous Administration in Relapsed or Refractory B Cell Non-Hodgkin Lymphoma.Clin Pharmacokinet. 2025 Jan;64(1):127-141. doi: 10.1007/s40262-024-01464-2. Epub 2024 Dec 21. Clin Pharmacokinet. 2025. PMID: 39708278 Clinical Trial.
-
Comparison of antiepileptic drugs, no treatment, or placebo for children with benign epilepsy with centro temporal spikes.Cochrane Database Syst Rev. 2014 Sep 5;2014(9):CD006779. doi: 10.1002/14651858.CD006779.pub2. Cochrane Database Syst Rev. 2014. PMID: 25190506 Free PMC article.
-
Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy.Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340. Health Technol Assess. 2006. PMID: 16959170
References
LinkOut - more resources
Full Text Sources