Certara UK Limited, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
University of Basel, Basel, Switzerland.
AAPS J. 2020 May 24;22(4):76. doi: 10.1208/s12248-020-00460-1.
Physiologically-based pharmacokinetic (PBPK) modelling provides an integrated framework to predict the disposition of small molecule drugs in children and is increasingly being used for dose recommendation and optimal design of paediatric studies and in regulatory submissions. Existing paediatric PBPK models can be adopted to describe the disposition of therapeutic proteins (TPs) in children by incorporating information on age-related changes of additional physiological and biological parameters (e.g. endogenous IgG, neonatal Fc receptor, lymph flow). In this study, physiological parameters were collated from literature and evaluated for any age-dependent trends. The age-dependent physiological parameters were used to construct a paediatric PBPK model for TPs. The model was then used to predict the pharmacokinetics of recombinant human erythropoietin (EPO), infliximab, etanercept, basiliximab, anakinra and enfuvirtide in paediatric subjects. The developed paediatric PBPK model predicted the drug concentration-time profiles reasonably well in full-term neonates (clinical PK data only available for EPO), infants, children and adolescents with the ratios of predicted over observed clearance values within 1.5-fold and 25 out of 26 clearance predictions were within 0.8- to 1.25-fold of the observed values. The clinically reported data are required to further assess the predictive accuracy of PK for Fc-containing proteins in term-born children younger than 2 months. This study demonstrates the ability of PBPK models accounting for age-dependent changes in relevant parameters to predict the pharmacokinetics of different types of TPs in paediatrics. The information gained from the PBPK models described here can facilitate our understanding of the complexities of TPs' disposition during growth and development.
生理药代动力学(PBPK)模型为预测小分子药物在儿童体内的处置提供了一个综合框架,越来越多地用于推荐剂量和优化儿科研究设计,并在监管申报中使用。现有的儿科 PBPK 模型可以通过纳入与年龄相关的其他生理和生物学参数(如内源性 IgG、新生儿 Fc 受体、淋巴流量)变化的信息,用于描述治疗性蛋白(TPs)在儿童体内的处置。在这项研究中,从文献中收集了生理参数,并评估了它们是否存在年龄依赖性趋势。将年龄相关的生理参数用于构建用于 TPs 的儿科 PBPK 模型。然后,该模型用于预测重组人红细胞生成素(EPO)、英夫利昔单抗、依那西普、巴利昔单抗、阿那白滞素和恩夫韦肽在儿科患者中的药代动力学。开发的儿科 PBPK 模型能够很好地预测足月新生儿(仅 EPO 有临床 PK 数据)、婴儿、儿童和青少年的药物浓度-时间曲线,预测清除率与观察清除率的比值在 1.5 倍以内,26 次清除率预测中有 25 次在观察值的 0.8 至 1.25 倍范围内。需要临床报告数据来进一步评估 PBPK 模型对 2 个月以下足月出生儿童 Fc 结合蛋白 PK 的预测准确性。这项研究表明,能够预测不同类型 TPs 在儿科中的药代动力学的 PBPK 模型,能够考虑相关参数的年龄依赖性变化。这里描述的 PBPK 模型所获得的信息可以帮助我们理解 TPs 在生长发育过程中处置的复杂性。