整合基于ontogeny的变化来预测儿童群体中二胺的暴露:一个PBPK建模方法
Ammara Zamir1, Muhammad Fawad Rasool1, Faleh Alqahtani2
1Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.
Pharmaceutics
|January 8, 2025
概括
一个新的基于生理学的药理动力学 (PBPK) 模型准确地预测了儿童的二胺暴露. 这种模型有助于优化儿科剂量,确保儿童用二氨酸的安全性和有效性.
科学领域:
- 药理动力学和药物新陈代谢
- 儿科药理学 儿科药理学
- 计算建模 计算建模
背景情况:
- 迪芬胺是一种用于治疗各种疾病的抗组胺药物,包括感冒和过敏反应.
- 由于发育差异,准确的系统性暴露预测对儿童至关重要.
- 利用成年人的数据来模拟儿科药理动力学提出了独特的挑战.
研究的目的:
- 在儿科群体 (儿童和青少年) 中开发一种基于生理学的药理动力学 (PBPK) 模型.
- 用成人数据预测健康儿童和青少年对二胺的系统性暴露.
- 通过比较预测值与报告的儿科数据来评估模型的准确性.
主要方法:
- 编制了关于二胺的药理动力学 (PK) 和参数的文献数据.
- 使用PK-Sim软件 (版本11.1) 来构建和完善PBPK模型.
- 首先开发了一个成人模型,然后将其推断到儿科患者群体进行验证.
主要成果:
- 对于关键的PK变量 (AUC,Cmax,CL),PBPK模型在两倍误差基准范围内显示了准确性.
- 预测的最大血清/血度 (Cmax) 在儿科是3倍高于年轻人在25毫克的剂量.
- 这些发现凸显了需要仔细监测儿童的迪芬胺剂量方案的必要性.
结论:
- 开发的儿科PBPK模型得到了验证,并增强了对二胺发育PK变异的理解.
- 该模型可以帮助医疗保健专业人员为儿童个性化定制二胺剂量方案.
- 改进的剂量策略可以促进治疗疗效,并最大限度地减少儿科患者的不良影响.
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