Physiologically-based pharmacokinetic modeling of pantoprazole to evaluate the role of CYP2C19 genetic variation and obesity in the pediatric population

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY CPT: Pharmacometrics & Systems Pharmacology Pub Date : 2024-06-04 DOI:10.1002/psp4.13167
Elizabeth J. Thompson, Angela Jeong, Victória E. Helfer, Valentina Shakhnovich, Andrea Edginton, Stephen J. Balevic, Laura P. James, David N. Collier, Ravinder Anand, Daniel Gonzalez, the Best Pharmaceuticals for Children Act – Pediatric Trials Network Steering Committee
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Abstract

Pantoprazole is a proton pump inhibitor indicated for the treatment of gastroesophageal reflux disease, a condition that disproportionately affects children with obesity. Appropriately dosing pantoprazole in children with obesity requires understanding the body size metric that best guides dosing, but pharmacokinetic (PK) trials using traditional techniques are limited by the need for larger sample sizes and frequent blood sampling. Physiologically-based PK (PBPK) models are an attractive alternative that can account for physiologic-, genetic-, and drug-specific changes without the need for extensive clinical trial data. In this study, we explored the effect of obesity on pantoprazole PK and evaluated label-suggested dosing in this population. An adult PBPK model for pantoprazole was developed using data from the literature and accounting for genetic variation in CYP2C19. The adult PBPK model was scaled to children without obesity using age-associated changes in anatomical and physiological parameters. Lastly, the pediatric PBPK model was expanded to children with obesity. Three pantoprazole dosing strategies were evaluated: 1 mg/kg total body weight, 1.2 mg/kg lean body weight, and US Food and Drug Administration-recommended weight-tiered dosing. Simulated concentration–time profiles from our model were compared with data from a prospective cohort study (PAN01; NCT02186652). Weight-tiered dosing resulted in the most (>90%) children with pantoprazole exposures in the reference range, regardless of obesity status or CYP2C19 phenotype, confirming results from previously published population PK models. PBPK models may allow for the efficient study of physiologic and developmental effects of obesity on PK in special populations where clinical trial data may be limited.

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基于生理学的泮托拉唑药代动力学模型,评估 CYP2C19 基因变异和肥胖在儿科人群中的作用。
泮托拉唑是一种质子泵抑制剂,用于治疗胃食管反流病,而肥胖症对儿童的影响尤为严重。要给肥胖症儿童服用泮托拉唑的剂量恰到好处,就必须了解最能指导剂量的体型指标,但使用传统技术进行的药代动力学(PK)试验因需要较大的样本量和频繁的血液采样而受到限制。基于生理学的 PK(PBPK)模型是一种极具吸引力的替代方法,它可以考虑生理、遗传和药物的特异性变化,而无需大量的临床试验数据。在这项研究中,我们探讨了肥胖对泮托拉唑 PK 的影响,并评估了标签建议在这一人群中的用药剂量。我们利用文献数据并考虑到 CYP2C19 的遗传变异,建立了泮托拉唑的成人 PBPK 模型。利用年龄相关的解剖和生理参数变化,将成人 PBPK 模型按比例放大至无肥胖症的儿童。最后,将儿科 PBPK 模型扩展到肥胖症儿童。对三种泮托拉唑剂量策略进行了评估:1毫克/千克总重量、1.2毫克/千克瘦体重以及美国食品药品管理局推荐的体重分级给药。我们将模型模拟的浓度-时间曲线与一项前瞻性队列研究(PAN01;NCT02186652)的数据进行了比较。无论肥胖状况或 CYP2C19 表型如何,体重分层给药使大多数(大于 90%)儿童的泮托拉唑暴露量处于参考范围内,这证实了之前发表的人群 PK 模型的结果。在临床试验数据可能有限的特殊人群中,PBPK 模型可以有效研究肥胖对 PK 的生理和发育影响。
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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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