Ito Mototsugu, Kusuhara Hiroyuki, Ose Atsushi, Kondo Tsunenori, Tanabe Kazunari, Nakayama Hideki, Horita Shigeru, Fujita Takuya, Sugiyama Yuichi
Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.
AAPS J. 2017 Jan;19(1):286-297. doi: 10.1208/s12248-016-9992-0. Epub 2016 Oct 31.
Oseltamivir (Tamiflu®) is a prodrug of Ro 64-0802, a selective inhibitor of influenza virus neuraminidase. There is a possible relationship between oseltamivir treatment and neuropsychiatric adverse events; although this has not been established, close monitoring is recommended on the prescription label. The objective of this study was to predict interindividual variability of human exposure to oseltamivir and its active metabolite Ro 64-0802. By leveraging mathematical models and computations, physiological parameters in virtual subjects were generated with population means and coefficient of variations collected from the literature or produced experimentally. Postulated functional changes caused by genetic mutations in four key molecules, carboxylesterase 1A1, P-glycoprotein, organic anion transporter 3, and multidrug resistance-associated protein 4, were also taken into account. One hundred thousand virtual subjects were generated per simulation, which was iterated 20 times with different random number generator seeds. Even in the most exaggerated case, the systemic areas under the concentration-time curve (AUCs) of oseltamivir and Ro 64-0802 were increased by at most threefold compared with the population mean. By contrast, the brain AUCs of oseltamivir and Ro 64-0802 were increased up to about sevenfold and 40-fold, respectively, compared with the population means. This unexpectedly high exposure to oseltamivir or Ro 64-0802, which occurs extremely rarely, might trigger adverse central nervous system effects in the clinical setting.
奥司他韦(达菲®)是Ro 64-0802的前体药物,Ro 64-0802是一种流感病毒神经氨酸酶的选择性抑制剂。奥司他韦治疗与神经精神不良事件之间可能存在关联;尽管尚未确定,但处方标签上建议密切监测。本研究的目的是预测人体对奥司他韦及其活性代谢物Ro 64-0802暴露的个体间变异性。通过利用数学模型和计算,根据从文献中收集或通过实验得出的总体均值和变异系数,生成虚拟受试者的生理参数。还考虑了由四种关键分子(羧酸酯酶1A1、P-糖蛋白、有机阴离子转运体3和多药耐药相关蛋白4)基因突变引起的假定功能变化。每次模拟生成10万个虚拟受试者,使用不同的随机数生成器种子重复迭代20次。即使在最极端的情况下,与总体均值相比,奥司他韦和Ro 64-0802的浓度-时间曲线下的全身面积(AUC)最多增加三倍。相比之下,与总体均值相比,奥司他韦和Ro 64-0802的脑AUC分别增加了约七倍和40倍。这种极其罕见的奥司他韦或Ro 64-0802的意外高暴露可能在临床环境中引发中枢神经系统不良反应。