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基于群体药代动力学模型对急性肾损伤大鼠体内完整奥沙利铂的评估。

Population Pharmacokinetic Model-Based Evaluation of Intact Oxaliplatin in Rats with Acute Kidney Injury.

作者信息

Kobuchi Shinji, Kai Miyu, Ito Yukako

机构信息

Department of Pharmacokinetics, Kyoto Pharmaceutical University, Kyoto 607-8414, Japan.

出版信息

Cancers (Basel). 2021 Dec 20;13(24):6382. doi: 10.3390/cancers13246382.

Abstract

Acute kidney injury (AKI) complicates the dosing strategies of oxaliplatin (L-OHP) and the requirement for L-OHP dose reduction in patients with renal failure remains controversial. The objective of this study is to assess the impact of AKI on the pharmacokinetics (PK) of intact L-OHP and simulate the relationship between the degree of renal function and intact L-OHP exposures using a population PK model. Intact L-OHP concentrations in plasma and urine after L-OHP administration were measured in mild and severe AKI models established in rats through renal ischemia-reperfusion. Population PK modeling and simulation were performed. There were no differences among rats in the area under the plasma concentration-time curve of intact L-OHP after intravenous L-OHP administrations. Nevertheless, the amount of L-OHP excretion after administration of 8 mg/kg L-OHP in mild and severe renal dysfunction rats was 63.5% and 37.7%, respectively, and strong correlations were observed between biochemical renal function markers and clearance of intact L-OHP. The population PK model simulated well the observed levels of intact L-OHP in AKI model rats. The population PK model-based simulation suggests that dose reduction is unnecessary for patients with mild to moderate AKI.

摘要

急性肾损伤(AKI)使奥沙利铂(L-OHP)的给药策略变得复杂,肾衰竭患者是否需要降低L-OHP剂量仍存在争议。本研究的目的是评估AKI对完整L-OHP药代动力学(PK)的影响,并使用群体PK模型模拟肾功能程度与完整L-OHP暴露量之间的关系。通过肾缺血再灌注在大鼠中建立轻度和重度AKI模型,测定L-OHP给药后血浆和尿液中完整L-OHP的浓度。进行群体PK建模和模拟。静脉注射L-OHP后,完整L-OHP的血浆浓度-时间曲线下面积在大鼠之间没有差异。然而,在轻度和重度肾功能不全大鼠中,给予8mg/kg L-OHP后,L-OHP的排泄量分别为63.5%和37.7%,并且观察到肾脏生化功能标志物与完整L-OHP清除率之间存在强相关性。群体PK模型很好地模拟了AKI模型大鼠中观察到的完整L-OHP水平。基于群体PK模型的模拟表明,轻度至中度AKI患者无需降低剂量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6ee/8699120/45590f8c79b5/cancers-13-06382-g001.jpg

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