Tanaka Ryota, Irie Kei, Mizuno Tomoyuki
Division of Translational and Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Department of Clinical Pharmacy, Oita University Hospital, Yufu 879-5593, Japan.
Antibiotics (Basel). 2025 May 24;14(6):541. doi: 10.3390/antibiotics14060541.
The appropriate use of antibiotics is crucial and involves selecting an optimal dosing regimen based on pharmacokinetic (PK) and pharmacodynamic (PD) indicators. Physiologically based pharmacokinetic (PBPK) modeling is a powerful tool that integrates drugs' physicochemical properties with anatomical and physiological data to predict PK behavior. In pediatric populations, PBPK modeling accounts for developmental changes in organ function, making it particularly useful for optimizing antibiotic dosing across different age groups, from neonates to adolescents. In recent decades, PBPK modeling has been widely applied to predict antibiotic disposition in pediatric patients for various clinical and research purposes. Model-informed precision dosing (MIPD) is an evolving approach that enhances traditional therapeutic drug monitoring by integrating multiple information sources into a mathematical framework. By incorporating PBPK modeling, MIPD could offer a more optimized antibiotic dosing that accounts for PK/PD parameters at the site of infection, improving therapeutic outcomes while minimizing toxicity. This review summarizes currently published pediatric PBPK modeling studies on antibiotics, covering various objectives such as evaluating drug-drug interactions, PK/PD analyses in targeted tissues, predicting PK in specific populations (e.g., maternal/fetal, renal impairment, obesity), and PK predictions for preterm neonates. Based on these reports, the review discusses the implications of PBPK modeling for MIPD in pediatric antibiotic therapy.
合理使用抗生素至关重要,这涉及根据药代动力学(PK)和药效学(PD)指标选择最佳给药方案。基于生理的药代动力学(PBPK)建模是一种强大的工具,它将药物的物理化学性质与解剖学和生理学数据相结合,以预测PK行为。在儿科人群中,PBPK建模考虑了器官功能的发育变化,使其对于优化从新生儿到青少年不同年龄组的抗生素给药特别有用。近几十年来,PBPK建模已被广泛应用于预测儿科患者的抗生素处置情况,用于各种临床和研究目的。模型指导的精准给药(MIPD)是一种不断发展的方法,它通过将多个信息源整合到一个数学框架中来加强传统的治疗药物监测。通过纳入PBPK建模,MIPD可以提供更优化的抗生素给药方案,该方案考虑了感染部位的PK/PD参数,在将毒性降至最低的同时改善治疗效果。本综述总结了目前已发表的关于抗生素的儿科PBPK建模研究,涵盖了各种目标,如评估药物相互作用、靶向组织中的PK/PD分析、预测特定人群(如母婴、肾功能损害、肥胖)的PK以及早产儿的PK预测。基于这些报告,本综述讨论了PBPK建模对儿科抗生素治疗中MIPD的意义。