Chen Yanan, Xu Shansen, Wang Zhanyou, Zhao Mingming, Wang Huanxin, Lu Tong, Zhao Limei
Department of Pharmacy, Shengjing Hospital of China Medical University.
Key Laboratory of Medical Cell Biology of Ministry of Education, Institute of Health Sciences, China Medical University.
Ther Drug Monit. 2018 Dec;40(6):730-737. doi: 10.1097/FTD.0000000000000563.
The pharmacokinetics of lamotrigine (LTG) is complex and varies significantly among individuals, especially among children. Therefore, this study aimed to establish a population pharmacokinetic (PPK) model of LTG in Chinese children with epilepsy and to comprehensively evaluate the effects of genetic variations in drug-metabolizing enzymes, transporters, and a transcriptional regulator on LTG pharmacokinetics.
Three hundred eighty-five steady-state plasma concentrations were obtained from 179 children (age 10.72 ± 3.05 years and body weight 46.23 ± 17.77 kg) with epilepsy during therapeutic drug monitoring. These patients were divided into the PPK-model group (n = 121) and the PPK-validation group (n = 58) and were genotyped for UGT1A4, UGT2B7, ABCB1, ABCG2, SLC22A1, and HNF4α. PPK analysis was performed by nonlinear mixed effects modeling.
In the final model, apparent clearance (CL/F) of LTG was estimated to be 1.48 L/h; 500 mg valproic acid, oxcarbazepine, and UGT2B7-161TT genotype changed the CL/F by -46.2, +31.1, and -21.8%, respectively. Body weight was also identified as a significant covariate affecting LTG CL/F.
A PPK-pharmacogenetic model of LTG in Chinese children with epilepsy was successfully established with nonlinear mixed effects modeling. Genotyping for UGT2B7-161C>T may be useful in titrating the optimal LTG dose.
拉莫三嗪(LTG)的药代动力学较为复杂,个体间差异显著,尤其是儿童。因此,本研究旨在建立中国癫痫儿童LTG的群体药代动力学(PPK)模型,并全面评估药物代谢酶、转运体及转录调节因子的基因变异对LTG药代动力学的影响。
在治疗药物监测期间,从179例癫痫儿童(年龄10.72±3.05岁,体重46.23±17.77 kg)获取了385个稳态血浆浓度。这些患者被分为PPK模型组(n = 121)和PPK验证组(n = 58),并对UGT1A4、UGT2B7、ABCB1、ABCG2、SLC22A1和HNF4α进行基因分型。通过非线性混合效应建模进行PPK分析。
在最终模型中,LTG的表观清除率(CL/F)估计为1.48 L/h;500 mg丙戊酸、奥卡西平和UGT2B7 - 161TT基因型分别使CL/F改变了-46.2%、+31.1%和-21.8%。体重也被确定为影响LTG CL/F的显著协变量。
采用非线性混合效应建模成功建立了中国癫痫儿童LTG的PPK - 药物遗传学模型。对UGT2B7 - 161C>T进行基因分型可能有助于滴定最佳LTG剂量。