Kobuchi Shinji, Shimizu Risa, Ito And Yukako
Department of Pharmacokinetics, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.
Pharmaceutics. 2020 Feb 3;12(2):125. doi: 10.3390/pharmaceutics12020125.
Oxaliplatin (L-OHP) is widely prescribed for treating gastroenterological cancer. L-OHP-induced peripheral neuropathy is a critical toxic effect that limits the dosage of L-OHP. An ideal chemotherapeutic strategy that does not result in severe peripheral neuropathy but confers high anticancer efficacy has not been established. To establish an optimal evidence-based dosing regimen, a pharmacokinetic-toxicodynamic (PK-TD) model that can characterize the relationship between drug administration regimen and L-OHP-induced peripheral neuropathy is required. We developed a PK-TD model of L-OHP for peripheral neuropathy using Phoenix NLME™ Version 8.1. Plasma concentration of L-OHP, the number of withdrawal responses in the acetone test, and the threshold value in the von Frey test following 3, 5, or 8 mg/kg L-OHP administration were used. The PK-TD model consisting of an indirect response model and a transit compartment model adequately described and simulated time-course alterations of onset and grade of L-OHP-induced cold and mechanical allodynia. The results of model analysis suggested that individual fluctuation of plasma L-OHP concentration might be a more important factor for individual variability of neuropathy than cell sensitivity to L-OHP. The current PK-TD model might contribute to investigation and establishment of an optimal dosing strategy that can reduce L-OHP-induced neuropathy.
奥沙利铂(L-OHP)被广泛用于治疗胃肠道癌症。L-OHP诱导的周围神经病变是一种关键的毒性作用,限制了L-OHP的用量。尚未建立一种既不会导致严重周围神经病变又具有高抗癌疗效的理想化疗策略。为了建立最佳的循证给药方案,需要一个能表征给药方案与L-OHP诱导的周围神经病变之间关系的药代动力学-药效学(PK-TD)模型。我们使用Phoenix NLME™ 8.1版开发了一个用于周围神经病变的L-OHP的PK-TD模型。使用了给予3、5或8 mg/kg L-OHP后L-OHP的血浆浓度、丙酮试验中的退缩反应次数以及von Frey试验中的阈值。由间接反应模型和转运室模型组成的PK-TD模型充分描述并模拟了L-OHP诱导的冷和机械性异常性疼痛的发作和程度的时间进程变化。模型分析结果表明,血浆L-OHP浓度的个体波动可能比细胞对L-OHP的敏感性更重要,是导致神经病变个体差异的因素。当前的PK-TD模型可能有助于研究和建立一种能减少L-OHP诱导的神经病变的最佳给药策略。