Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington.
Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington
Drug Metab Dispos. 2024 Nov 15;52(12):1363-1372. doi: 10.1124/dmd.124.001608.
Cytochrome P450 (CYP) superfamily represents the major drug-metabolizing enzymes responsible for metabolizing over 65% of therapeutic drugs, including those for pediatric use. CYP-ontogeny based physiologically based pharmacokinetic (PBPK) modeling has emerged as useful approach to mechanistically extrapolate adult pharmacokinetic data to children. However, these models integrate physiological differences in the pediatric population including age-dependent differences in the abundances of CYP enzymes. Conventionally, developmental changes in CYP enzymes have been reported using protein abundance and activity data from subcellular fractions such as microsomes, which are prone to high technical variability. Similarly, the available pediatric pharmacokinetic data suffer from the lack of specific CYP substrates, especially in younger children. In the present study, we used viable hepatocytes from 50 pediatric (age, 1 day-18 years) and 8 adult human donors and carried out global proteomics-based quantification of all major hepatic CYP enzymes, including orphan enzymes that have not been studied previously. While CYPs 2B6, 3A5, 4A11, 4F3, and 4V2 did not show a significant association with age, all other quantified isoforms either increased or decreased with age. CYPs 1A2, 2C8, 2C18, and 2C19 were absent or barely detected in the neonatal group, while CYP3A7 was the highest in this group. The >1 to 2 years age group showed the highest total abundance of all CYP enzymes. The age-dependent differences in CYP enzymes reported in this study can be used to develop ontogeny-based PBPK models, which in turn can help improve pediatric dose prediction based on adult dosing, leading to safer drug pharmacology in children. SIGNIFICANCE STATEMENT: We quantified the age-dependent differences in the abundances of hepatic CYP enzymes using a large set of viable pediatric and adult hepatocytes using quantitative global proteomics. We report for the first time the ontogeny in the abundance of CYP enzymes in human hepatocytes, especially, orphan CYPs 20A1, 27A1, 51A1, 7B1, and 8B1 and CYP4 subfamily of enzymes. Our study provides important data about CYP ontogeny that can be used for the better prediction of pediatric pharmacokinetics using physiologically based pharmacokinetic modeling.
细胞色素 P450(CYP)超家族是主要的药物代谢酶,负责代谢超过 65%的治疗药物,包括儿科用药。基于 CYP 个体发育的生理药代动力学(PBPK)模型已成为一种有用的方法,可以从机制上推断成人药代动力学数据到儿童。然而,这些模型整合了儿科人群的生理差异,包括 CYP 酶丰度随年龄的变化。传统上,CYP 酶的发育变化是通过亚细胞部分(如微粒体)的蛋白质丰度和活性数据来报告的,而这些数据容易受到高度的技术变化的影响。同样,现有的儿科药代动力学数据也缺乏特定的 CYP 底物,尤其是在年幼的儿童中。在本研究中,我们使用了来自 50 名儿科(年龄 1 天-18 岁)和 8 名成人供体的活肝细胞,进行了所有主要肝 CYP 酶的基于全局蛋白质组学的定量,包括以前未研究过的孤儿酶。虽然 CYP2B6、3A5、4A11、4F3 和 4V2 与年龄没有显著关联,但所有其他定量同工酶的水平要么随年龄增加,要么随年龄减少。CYP1A2、2C8、2C18 和 2C19 在新生儿组中不存在或几乎检测不到,而 CYP3A7 在该组中含量最高。>1 至 2 岁年龄组的所有 CYP 酶总丰度最高。本研究报告的 CYP 酶随年龄变化的差异可用于建立基于个体发育的 PBPK 模型,这反过来又有助于根据成人剂量改善儿科剂量预测,从而使儿童药物药理学更安全。意义:我们使用大量的活儿科和成人肝细胞,通过定量的全局蛋白质组学,定量了肝 CYP 酶丰度随年龄的差异。我们首次报告了人类肝细胞中 CYP 酶丰度的个体发育情况,特别是孤儿 CYP20A1、27A1、51A1、7B1 和 8B1 以及 CYP4 酶家族。我们的研究提供了关于 CYP 个体发育的重要数据,可用于使用生理药代动力学模型更好地预测儿科药代动力学。