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Challenges and Opportunities for Increasing the Knowledge Base Related to Drug Biotransformation and Pharmacokinetics during Growth and Development

机译:在成长和发展过程中增加与药物生物转化和药代动力学相关的知识库的挑战和机遇

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摘要

It is generally acknowledged that there is a need and role for informative pharmacokinetic models to improve predictions and simulation as well as individualization of drug therapy in pediatric populations of different ages and developmental stages. This special issue contains more than 20 papers responding to the challenge of providing new information on scaling factors, ontogeny functions for drug metabolizing enzymes and transporters, the mechanisms underlying the observed developmental trajectories for these gene products, age-dependent changes in physiologic processes affecting drug disposition in children, as well as in vitro and in vivo studies describing the relative contribution of ontogeny and genetic factors as sources of variability in drug disposition in children. Considered together, these contributions serve to illustrate some of the current limitations regarding sample availability, number, and quality, but also provide a framework that allows for the potential value of the results of a given study to be interpreted within the context of these limitations. Among the challenges for the future are improving our understanding of the mechanisms regulating age-dependent changes in factors influencing drug disposition and response, thereby facilitating generalization to systems lacking detailed data, better integrating age-dependent changes in pharmacokinetics with age-dependent changes in pharmacodynamics, and allowing better predictability and individualization of drug disposition and response across the pediatric age spectrum.
机译:人们普遍认为,在不同年龄和发育阶段的儿科人群中,提供信息的药代动力学模型对于改善药物治疗的预测和模拟以及个性化治疗具有必要性和作用。本期特刊包含20余篇论文,以应对以下挑战:提供有关缩放因子,药物代谢酶和转运蛋白的个体发育功能,观察到的这些基因产物发育轨迹的机制,影响药物的生理过程的年龄依赖性变化的新信息儿童的药物处置以及体外和体内研究,这些研究描述了个体发育和遗传因素作为儿童药物处置变异性来源的相对贡献。一起考虑,这些贡献有助于说明有关样品可用性,数量和质量的当前限制,但也提供了一个框架,可以在这些限制的背景下解释给定研究结果的潜在价值。未来的挑战之一是增进我们对调节年龄依赖性变化影响药物处置和反应的因素的机制的理解,从而促进对缺乏详细数据的系统的泛化,将药代动力学的年龄依赖性变化与药效动力学的年龄依赖性变化更好地整合,并在整个儿科年龄范围内实现更好的可预测性以及药物处置和反应的个性化。

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