School of Pharmacy, University of Waterloo, Waterloo, Ontario, Canada.
Department of Pharmaceutical Sciences, College of Pharmacy, The University of Tennessee Health Science Center, Memphis, Tennessee, USA.
J Clin Pharmacol. 2021 Jun;61 Suppl 1:S193-S206. doi: 10.1002/jcph.1829.
In selecting optimal dosing regimens in support of the clinical use of monoclonal antibodies and other therapeutic proteins in pediatric indications, the unique pharmacokinetic properties of this class of biologics, as well as the underlying physiologic and pathophysiologic processes and their modulation by childhood growth and development, needs to be appreciated. During drug development, first-in-pediatric dose selection is a capstone event in the pediatric investigation plan that relies heavily on extrapolation of pharmacokinetic and pharmacodynamic data from adult to pediatric populations. It is facilitated by combinations of pharmacometric approaches, including allometry, physiologically based pharmacokinetic modeling, and population pharmacokinetic analyses, although data on reliability and qualification of some of these tools in the context of therapeutic proteins are still limited but emerging. Presented data suggest nonlinear relationships between body weight and both clearance and volume of distribution for therapeutic proteins in pediatric populations, with allometric exponents of 0.75 and 0.8, respectively. For newborns and infants (<1 year), even higher nonlinearity seems to occur. Translation of the quantitative characterization of the pediatric pharmacokinetics of therapeutic proteins into dosing regimens for the drug label requires compromising between precision dosing and clinical practicability, with tiered dosing algorithms based on size or age strata being the currently most frequently applied methodology.
在选择支持儿科适应证中单克隆抗体和其他治疗性蛋白临床应用的最佳剂量方案时,需要了解此类生物制剂的独特药代动力学特性,以及儿童生长发育对其潜在生理和病理生理过程的影响和调节。在药物开发过程中,儿科首次剂量选择是儿科研究计划中的一个重要事件,该计划主要依赖于将药代动力学和药效动力学数据从成人外推至儿科人群。它得益于药代动力学方法的组合,包括比例法、基于生理学的药代动力学建模和群体药代动力学分析,尽管在治疗性蛋白的背景下,这些工具的一些数据的可靠性和资格认证仍然有限,但正在不断涌现。目前的数据表明,治疗性蛋白在儿科人群中的清除率和分布容积与体重之间呈非线性关系,分别为 0.75 和 0.8。对于新生儿和婴儿(<1 岁),似乎还存在更高的非线性。将治疗性蛋白儿科药代动力学的定量特征转化为药物标签的剂量方案,需要在精确剂量和临床可行性之间进行权衡,基于大小或年龄分层的阶梯式剂量算法是目前最常应用的方法。