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DMET 个体发育对新生儿和儿科重症监护病房常用药物处置的潜在影响。

Potential implications of DMET ontogeny on the disposition of commonly prescribed drugs in neonatal and pediatric intensive care units.

机构信息

Department of Pharmaceutical Sciences, Washington State University, Spokane, USA.

Pediatrics and Neonatology, Providence Sacred Heart Medical Center and Children's Hospital, Spokane, USA.

出版信息

Expert Opin Drug Metab Toxicol. 2021 Mar;17(3):273-289. doi: 10.1080/17425255.2021.1858051. Epub 2021 Jan 20.

Abstract

: Pediatric patients, especially neonates and infants, are more susceptible to adverse drug events as compared to adults. In particular, immature small molecule drug metabolism and excretion can result in higher incidences of pediatric toxicity than adults if the pediatric dose is not adjusted.: We reviewed the top 29 small molecule drugs prescribed in neonatal and pediatric intensive care units and compiled the mechanisms of their metabolism and excretion. The ontogeny of Phase I and II drug metabolizing enzymes and transporters (DMETs), particularly relevant to these drugs, are summarized. The potential effects of DMET ontogeny on the metabolism and excretion of the top pediatric drugs were predicted. The current regulatory requirements and recommendations regarding safe and effective use of drugs in children are discussed. A few representative examples of the use of ontogeny-informed physiologically based pharmacokinetic (PBPK) models are highlighted.: Empirical prediction of pediatric drug dosing based on body weight or body-surface area from the adult parameters can be inaccurate because DMETs are not mature in children and the age-dependent maturation of these proteins is different. Ontogeny-informed-PBPK modeling provides a better alternative to predict the pharmacokinetics of drugs in children.

摘要

: 与成年人相比,儿科患者(尤其是新生儿和婴儿)更容易发生药物不良反应。特别是,如果未调整儿科剂量,不成熟的小分子药物代谢和排泄可能导致儿科毒性的发生率高于成年人。

: 我们回顾了新生儿和儿科重症监护病房中开处最多的 29 种小分子药物,并编写了它们的代谢和排泄机制。总结了与这些药物特别相关的 I 相和 II 相药物代谢酶和转运体(DMET)的个体发育。预测了 DMET 个体发育对儿科顶级药物代谢和排泄的潜在影响。讨论了关于儿童安全有效使用药物的当前监管要求和建议。强调了使用基于生理学的药代动力学(PBPK)模型的几个代表性实例。

: 根据成人参数按体重或体表面积对儿科药物进行经验性预测可能不准确,因为 DMET 在儿童中尚未成熟,并且这些蛋白质的年龄依赖性成熟度不同。基于个体发育的 PBPK 建模为预测儿童药物的药代动力学提供了更好的替代方法。

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