Division of Hematology, Office of Blood Research and Review, Center for Biologics Evaluation and Research, Food and Drug Administration, Rockville, Maryland 20852, USA.
Clin Pharmacokinet. 2010 Jul;49(7):479-92. doi: 10.2165/11531830-000000000-00000.
Interspecies pharmacokinetic scaling is widely used to predict pharmacokinetic parameters in adult humans but has not been used for the prediction of pharmacokinetic parameters in children. The current study was undertaken to evaluate whether or not drug clearance in children from adult rat, dog and human clearance values could be predicted allometrically.
Four methods (simple allometry, maximum lifespan potential [MLP], MLP with an empirical correction factor and a fixed exponent of 0.75 in association with adult data) were used for the prediction of drug clearance in children. The first three methods included adult animal (rat and dog) data and human data, whereas the fixed exponent of 0.75 included only adult human data.
The results of this study indicated that simple allometry would systematically overpredict drug clearance in children, whereas application of MLP would underpredict drug clearance in children. Therefore, an empirical correction factor was introduced into MLP, which substantially improved the prediction of drug clearance in children. Prediction based on a fixed exponent of 0.75 and adult human clearance was highly erratic and inferior to the prediction of drug clearance in children from MLP or MLP with an empirical correction factor.
Overall, the results of the study indicated that interspecies scaling using adult rat, dog and human clearance values could be useful to predict drug clearance in children in different age groups.
种间药代动力学比例缩放广泛用于预测成人的药代动力学参数,但尚未用于预测儿童的药代动力学参数。本研究旨在评估是否可以通过种间比例缩放来预测儿童的药物清除率,从成人大鼠、狗和人体清除率值。
采用 4 种方法(简单比例缩放、最大寿命潜能 [MLP]、MLP 加成人数据的经验校正因子以及与成人数据相关的固定指数 0.75)预测儿童的药物清除率。前三种方法包括成人动物(大鼠和狗)数据和人体数据,而固定指数 0.75 仅包括成人人体数据。
本研究结果表明,简单比例缩放会系统地高估儿童的药物清除率,而 MLP 的应用会低估儿童的药物清除率。因此,在 MLP 中引入了经验校正因子,这大大改善了对儿童药物清除率的预测。基于固定指数 0.75 和成人清除率的预测非常不稳定,劣于基于 MLP 或 MLP 加经验校正因子的儿童药物清除率预测。
总体而言,研究结果表明,使用成人大鼠、狗和人体清除率值进行种间比例缩放可以用于预测不同年龄组儿童的药物清除率。