使用生理学基础的药代动力学 (PBPK) 建模预测人类牛奶中的药物度的通用工作流程-来自 ConcePTION 项目的贡献
Nina Nauwelaerts1, Julia Macente1, Neel Deferm1,2
1Drug Delivery and Disposition, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium.
Pharmaceutics
|May 27, 2023
概括
基于生理学的药理动力学 (PBPK) 模型可以预测母乳中的药物度. 这项研究开发了一种通用的PBPK工作流程,以评估早期药物开发期间母乳养婴儿的产妇药物安全性.
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
- 生殖毒理学 生殖毒理学
背景情况:
- 哺乳期母亲使用药物很常见,但母乳养婴儿的安全数据有限.
- 对婴儿药物暴露的准确预测对于确保药物安全至关重要.
- 基于生理学的药理动力学 (PBPK) 建模为预测药物转移到母乳中的潜在解决方案.
研究的目的:
- 评估一种通用PBPK模型在预测母乳中药物度方面的性能.
- 使用PBPK建模建立一个工作流程,以评估哺乳期母亲药物的安全性.
- 在药物开发的早期阶段支持基于证据的安全评估.
主要方法:
- 使用PK-Sim/MoBi软件为非哺乳期成年人开发PBPK模型.
- 扩展PBPK模型以纳入哺乳生理学来模拟产后人群.
- 模拟血和母乳药物度,计算乳与血 (M/P) 比率和10种不同药物的相对婴儿剂量.
主要成果:
- PBPK模型准确地预测了成人模型的两倍误差内的血度 (AUC和Cmax).
- 哺乳期PBPK模型为10种测试药物中的8种提供了合理的预测.
- 两种药物显示出对母乳度和M/P比率 (>2倍) 的过度预测;然而,没有观察到对安全相关度的预测不足.
结论:
- 一个通用的PBPK建模工作流可以有效地预测母乳中的药物度.
- 开发的PBPK模型表明,在哺乳期早期对母婴药物的安全性评估中具有实用性.
- 这种方法有助于基于证据的决策,为母乳养母亲和婴儿的药物使用.
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