Department of Pediatrics, Medical College of Wisconsin and Children's Research Institute, Children's Hospital and Health Systems, 8701 Watertown Plank Rd., Milwaukee, WI 53226, USA.
Int J Pharm. 2013 Aug 16;452(1-2):3-7. doi: 10.1016/j.ijpharm.2012.05.079. Epub 2012 Jul 3.
Profound changes in drug metabolizing enzyme expression occurs during development that impacts drug efficacy and the risk of adverse events in the neonate and young child. A review of our current knowledge suggests individual hepatic drug metabolizing enzymes can be categorized into one of three classes based on developmental trajectories. The time frame for the perinatal changes observed for both Class 1 and Class 3 enzymes varies considerably between different enzymes. However, for a given enzyme, significant interindividual variation is observed in the timing of the perinatal changes, creating windows of hypervariability. Genetic variation clearly impacts drug disposition in children. However, developmental factors can dominate pharmacogenetic factors. Thus, a major challenge in applying pharmacogenomics to improve pediatric drug safety is determining at what age functional genetic variants identified in adults become a major determinant of expression in children. Developmental and genetic data on drug metabolizing enzyme ontogeny, as well as age-dependent changes in other physiological factors impacting drug disposition, can be integrated into physiologically-based pharmacokinetic models. Such models have proven useful in predicting the range of expected metabolic capacities at a given age.
在发育过程中,药物代谢酶的表达会发生深刻变化,这会影响新生儿和幼儿的药物疗效和不良反应风险。对我们目前知识的回顾表明,根据发育轨迹,个体肝药物代谢酶可以分为三类之一。在观察到的 1 类和 3 类酶的围产期变化中,不同酶之间的时间框架变化很大。然而,对于给定的酶,在围产期变化的时间上观察到显著的个体间变异性,产生了高度可变性的窗口。遗传变异显然会影响儿童的药物处置。然而,发育因素可以主导药物遗传学因素。因此,将药物基因组学应用于提高儿科药物安全性的主要挑战是确定在什么年龄,在成年人中确定的功能性遗传变异成为儿童表达的主要决定因素。关于药物代谢酶发生的发育和遗传数据,以及影响药物处置的其他生理因素的年龄依赖性变化,可以整合到基于生理学的药代动力学模型中。这些模型已被证明可用于预测在给定年龄下预期代谢能力的范围。