College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA.
Clin Pharmacol Ther. 2024 Dec;116(6):1615-1626. doi: 10.1002/cpt.3409. Epub 2024 Aug 19.
Around 50% of the drugs used in children have never been tested for safety and efficacy in this vulnerable population. Immature drug elimination pathways can lead to drug toxicity when pediatric doses are determined using empirical methods such as body-surface area or body-weight-normalized adult dosing. In the absence of clinical data, physiologically-based pharmacokinetic (PBPK) modeling has emerged as a useful tool to predict drug pharmacokinetics in children. These models utilize developmental physiological data, including age-dependent differences in the abundance of drug-metabolizing enzymes and transporters (DMET), to mechanistically extrapolate adult pharmacokinetic data to children. The reported abundance data of hepatic DMET proteins in subcellular fractions isolated from frozen tissue are prone to high technical variability. Therefore, we carried out the proteomics-based quantification of hepatic drug transporters and conjugating enzymes in 50 pediatric and 8 adult human hepatocyte samples. Out of the 34 studied proteins, 28 showed a significant increase or decrease with age. While MRP6, OAT7, and SULT1E1 were highest in < 1-year-old samples, the abundance of P-gp and UGT1A4 was negligible in < 1-year-old samples and increased significantly after 1 year of age. Incorporation of the age-dependent abundance data in PBPK models can help improve pediatric dose prediction, leading to safer drug pharmacotherapy in children.
约有 50%的儿童用药从未在这一脆弱人群中进行过安全性和疗效测试。当儿科剂量使用经验方法(如体表面积或体重归一化成人剂量)确定时,不成熟的药物消除途径可能导致药物毒性。在缺乏临床数据的情况下,基于生理学的药代动力学(PBPK)建模已成为预测儿童药物药代动力学的有用工具。这些模型利用发育生理数据,包括药物代谢酶和转运体(DMET)随年龄变化的丰度差异,将成人药代动力学数据机械地外推至儿童。从冷冻组织中分离的亚细胞部分中报告的肝 DMET 蛋白丰度数据容易受到高技术变异性的影响。因此,我们对 50 个儿科和 8 个成人人类肝细胞样本中的肝药物转运体和结合酶进行了基于蛋白质组学的定量。在所研究的 34 种蛋白中,有 28 种蛋白的丰度随年龄显著增加或减少。虽然 MRP6、OAT7 和 SULT1E1 在<1 岁的样本中含量最高,但 P-gp 和 UGT1A4 的含量在<1 岁的样本中可忽略不计,在 1 岁后显著增加。将年龄依赖性丰度数据纳入 PBPK 模型有助于改善儿科剂量预测,从而实现儿童药物治疗的安全性。