Division Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research (LACDR), Leiden University, Leiden, The Netherlands.
Certara UK Limited, Sheffield, UK.
AAPS J. 2019 Mar 8;21(3):38. doi: 10.1208/s12248-019-0295-0.
Previous research showed that scaling drug clearance from adults to children based on body weight alone is not accurate for all hepatically cleared drugs in very young children. This study systematically assesses the accuracy of scaling methods that, in addition to body weight, also take age-based variables into account for drugs undergoing hepatic metabolism in children younger than five years, namely scaling with (1) a body weight-based function using an age-dependent exponent (ADE) and (2) a body weight-based function with fixed exponent of 0.75 (AS0.75) combined with isoenzyme maturation functions (MF) similar to those implemented in physiologically based pharmacokinetic (PBPK) models (AS0.75 + MF). A PBPK-based simulation workflow was used, including hypothetical drugs with a wide range of properties and metabolized by different isoenzymes. Adult clearance values were scaled to seven typical children between one day and four years. Prediction errors of ± 50% were considered reasonably accurate. Isoenzyme maturation was found to be an important driver of changes in hepatic metabolic clearance in children younger than five years, which prevents the systematic accuracy of ADE scaling. AS0.75 + MF, when accounting for maturation of isoenzymes and microsomal protein per gram of liver (MPPGL), can reasonably accurately scale hepatic metabolic clearance for all low and intermediate extraction ratio drugs except for drugs binding to alpha-1-acid glycoprotein in neonates. As differences in the impact of changes in system-specific parameters on drugs with different properties yield differences in clearance ontogeny, it is unlikely that for the remaining drugs, scaling methods that do not take drug properties into account will be systematically accurate.
先前的研究表明,仅基于体重来对成人的药物清除率进行缩放,对于非常年幼的儿童中所有经肝清除的药物并不准确。本研究系统地评估了除体重以外还考虑年龄相关变量的缩放方法的准确性,这些方法适用于五岁以下儿童经肝代谢的药物,即:(1)使用基于体重的函数和年龄相关指数(ADE)进行缩放,以及(2)使用固定指数为 0.75(AS0.75)的基于体重的函数,并结合类似于生理药代动力学(PBPK)模型中实施的同工酶成熟功能(MF)(AS0.75+MF)。使用基于 PBPK 的模拟工作流程,包括具有广泛特性和不同同工酶代谢的假设药物。将成人清除率缩放到七个典型的 1 天至 4 岁儿童。预测误差在 ±50%以内被认为是相当准确的。同工酶成熟被发现是五岁以下儿童肝代谢清除率变化的重要驱动因素,这阻止了 ADE 缩放的系统准确性。AS0.75+MF,当考虑同工酶和每克肝微粒体蛋白(MPPGL)的成熟时,可以合理准确地缩放所有低和中等提取率药物的肝代谢清除率,除了新生儿中与α-1-酸性糖蛋白结合的药物外。由于系统特异性参数变化对具有不同特性的药物的清除率发生的影响存在差异,因此对于剩余的药物,不考虑药物特性的缩放方法不太可能具有系统准确性。