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中国癫痫儿童托吡酯的群体药代动力学。

Population pharmacokinetics of topiramate in Chinese children with epilepsy.

机构信息

Department of Pharmacy, Beijing Tiantan Hospital, Capital Medical University, 119 Nansihuan West Road, Fengtai District, Beijing, 100070, People's Republic of China.

Department of Clinical Pharmacology, College of Pharmaceutical Sciences, Capital Medical University, Beijing, 100069, People's Republic of China.

出版信息

Eur J Clin Pharmacol. 2023 Oct;79(10):1401-1415. doi: 10.1007/s00228-023-03549-6. Epub 2023 Aug 19.

Abstract

OBJECTIVE

Topiramate, a broad-spectrum antiepileptic drug, exhibits substantial inter-individual variability in both its pharmacokinetics and therapeutic response. The aim of this study was to investigate the influence of patient characteristics and genetic variants on topiramate clearance using population pharmacokinetic (PPK) models in a cohort of Chinese pediatric patients with epilepsy.

METHOD

The PPK model was constructed using a nonlinear mixed-effects modeling approach, utilizing a dataset comprising 236 plasma concentrations of topiramate obtained from 181 pediatric patients with epilepsy. A one-compartment model combined with a proportional residual model was employed to characterize the pharmacokinetics of topiramate. Covariate analysis was performed using forward addition and backward elimination to assess the influence of covariates on the model parameters. The model was thoroughly evaluated through goodness-of-fit analysis, bootstrap, visual predictive checks, and normalized prediction distribution errors. Monte Carlo simulations were utilized to devise topiramate dosing strategies.

RESULT

In the final PPK models of topiramate, body weight, co-administration with oxcarbazepine, and a combined genotype of GKIR1-UGT (GRIK1 rs2832407, UGT2B7 rs7439366, and UGT1A1 rs4148324) were identified as significant covariates affecting the clearance (CL). The clearance was estimated using the formulas CL (L/h) = 0.44 × (BW⁄11.7) × e for the model without genetic variants and CL (L/h) = 0.49 × (BW⁄11.7) × e × e for the model incorporating genetic variants. The volume of distribution (Vd) was estimated using the formulas Vd (L) = 6.6 × (BW⁄11.7). The precision of all estimated parameters was acceptable. Furthermore, the model demonstrated good predictability, exhibiting stability and effectiveness in describing the pharmacokinetics of topiramate.

CONCLUSION

The clearance of topiramate in pediatric patients with epilepsy may be subject to the influence of factors such as body weight, co-administration with oxcarbazepine, and genetic polymorphism. In this study, PPK models were developed to better understand and account for these factors, thereby improving the precision and individualization of topiramate therapy in children with epilepsy.

摘要

目的

托吡酯是一种广谱抗癫痫药物,其药代动力学和治疗反应在个体间存在显著差异。本研究旨在通过对中国癫痫儿童队列的群体药代动力学(PPK)模型,探讨患者特征和遗传变异对托吡酯清除率的影响。

方法

采用非线性混合效应建模方法构建 PPK 模型,利用包含 181 例癫痫儿童 236 个托吡酯血药浓度的数据集。采用一室模型结合比例残差模型来描述托吡酯的药代动力学。采用正向添加和反向消除法进行协变量分析,以评估协变量对模型参数的影响。通过拟合优度分析、Bootstrap 法、可视化预测检查和归一化预测分布误差(NPDE)对模型进行全面评估。利用蒙特卡罗模拟设计托吡酯给药方案。

结果

在托吡酯的最终 PPK 模型中,体重、与奥卡西平合用以及 GKIR1-UGT(GRIK1 rs2832407、UGT2B7 rs7439366 和 UGT1A1 rs4148324)的组合基因型被确定为影响清除率(CL)的显著协变量。在没有遗传变异的模型中,CL(L/h)=0.44×(BW/11.7)×e,在包含遗传变异的模型中,CL(L/h)=0.49×(BW/11.7)×e×e 来估计清除率。Vd(L)=6.6×(BW/11.7)来估计分布容积(Vd)。所有估计参数的精度均可接受。此外,该模型具有良好的预测能力,在描述托吡酯的药代动力学方面表现出稳定性和有效性。

结论

癫痫儿童托吡酯的清除率可能受到体重、与奥卡西平合用以及遗传多态性等因素的影响。本研究建立了 PPK 模型,以更好地理解和考虑这些因素,从而提高癫痫儿童托吡酯治疗的精度和个体化水平。

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