Vermeulen An, Piotrovsky Vladimir, Ludwig Elizabeth A
Division of Janssen Pharmaceutica N.V., Johnson & Johnson Pharmaceutical Research & Development, 2340, Beerse, Belgium.
J Pharmacokinet Pharmacodyn. 2007 Apr;34(2):183-206. doi: 10.1007/s10928-006-9040-2. Epub 2006 Nov 29.
A population model was developed with the aim to simultaneously describe risperidone and 9-hydroxyrisperidone pharmacokinetics; to obtain estimates for pharmacokinetic parameters and associated inter- and intra-individual variability of risperidone and 9-hydroxyrisperidone; and to evaluate the influence of patient demographic characteristics and other factors on risperidone, 9-hydroxyrisperidone, and active moiety pharmacokinetics. Data were obtained from 407 patients enrolled in four Phase 1 (serial blood sampling) and three Phase 3 trials (sparse sampling), representing dosage regimens ranging from 4 mg single dose to flexible 1-6 mg once daily. A pharmacokinetic model with two-compartment submodels for risperidone and 9-hydroxyrisperidone disposition and a sequential zero- and first-order absorption pathway was selected based on prior knowledge. A mixture model was incorporated due to CYP2D6 polymorphism of risperidone conversion to 9-hydroxyrisperidone. Patient characteristics tested as potential covariates were: age, sex, race, body weight, lean body mass, body mass index, creatinine clearance, liver function laboratory parameters, study, and carbamazepine comedication. The quasi-clearance of active moiety (the sum of risperidone and 9-hydroxyrisperidone) was simulated and linear regression performed to identify significant covariates. The selected pharmacokinetic model described the plasma concentration-time profiles for risperidone and 9-hydroxyrisperidone quite well and was able to determine each patient's phenotype. Covariates significantly affecting the pharmacokinetics were carbamazepine comedication, and study because the proportion of patients assigned to the intermediate metabolizer status decreased from single to multiple dosing while the proportion assigned to extensive metabolizer status increased. Covariates with limited and clinically irrelevant effects on active moiety concentrations were patient phenotype, race, and total protein. Carbamazepine also decreased active moiety concentrations.
开发了一种群体模型,旨在同时描述利培酮和9-羟基利培酮的药代动力学;获得利培酮和9-羟基利培酮药代动力学参数及相关个体间和个体内变异性的估计值;并评估患者人口统计学特征和其他因素对利培酮、9-羟基利培酮及活性部分药代动力学的影响。数据来自407名患者,这些患者参与了四项1期试验(连续血样采集)和三项3期试验(稀疏采样),涵盖了从4mg单剂量到1-6mg每日一次灵活剂量方案。基于先验知识,选择了一个具有利培酮和9-羟基利培酮处置的二室子模型以及顺序零级和一级吸收途径的药代动力学模型。由于利培酮转化为9-羟基利培酮存在CYP2D6多态性,纳入了混合模型。作为潜在协变量进行测试的患者特征包括:年龄、性别、种族、体重、瘦体重、体重指数、肌酐清除率、肝功能实验室参数、研究以及卡马西平合并用药情况。模拟了活性部分(利培酮和9-羟基利培酮之和)的准清除率,并进行线性回归以确定显著的协变量。所选的药代动力学模型很好地描述了利培酮和9-羟基利培酮的血浆浓度-时间曲线,并且能够确定每位患者的表型。显著影响药代动力学的协变量是卡马西平合并用药情况和研究,因为分配到中间代谢者状态的患者比例从单剂量给药到多剂量给药时下降,而分配到广泛代谢者状态的患者比例增加。对活性部分浓度影响有限且临床意义不大的协变量是患者表型、种族和总蛋白。卡马西平也降低了活性部分浓度。