通过在PBPK模型中引入双相溶解数据来进行先进的体内预测
Alexander Denninger1,2, Tim Becker1, Ulrich Westedt3
1Department of Pharmaceutical Technology, University of Bonn, Gerhard-Domagk-Strasse 3, 53121 Bonn, Germany.
Pharmaceutics
|July 29, 2023
概括
生物相关的体外溶解与体生理基础药理动力学 (PBPK) 工具相结合,准确地预测药物的性能. 这种体外到体外抽取 (IVIVE) 方法通过预测体内药理动力学来增强配方开发.
科学领域:
- 药理动力学和药物新陈代谢
- 制定 发展 制定 发展
- 在模拟中
背景情况:
- 将生物相关的体外溶解与在体内基于生理的药理动力学 (PBPK) 工具相结合,为预测体内药物性能提供了一种强大的方法.
- 这种方法对于配方开发至关重要,包括复杂的过程,如非被动运输,前药物激活和第一通代谢.
研究的目的:
- 用BiPHa+试验和PBPK工具的双相溶解数据评估人类药理学预测能力.
- 评估各种启用技术配制的商业药物产品的体外到体外抽取 (IVIVE) 的准确性.
主要方法:
- 利用六种商业药物产品的BiPHa+试验中的双相溶解概况.
- 采用了两种PBPK in silico建模工具,PK-Sim和GastroPlus®,来处理溶解数据,处理它们类似于延长释放配置文件.
- 开发了消除/分布模型,以模拟和比较预测的药理动力学与现有的人类数据,而不需要机械溶解/沉模型.
主要成果:
- 成功开发了一种体外到体外抽取方法 (IVIVE).
- 来自BiPHa+溶解分析的有机分区概况使药物产品药理动力学行为的高度准确的预测成为可能.
- 通过调整被动扩散预测,PBPK模型提高了具有显著第一通代谢的药物的预测准确性.
结论:
- 结合BiPHa+溶解分析和PBPK建模,为预测体内药物性能提供了一个强大的平台.
- 这种方法通过提供可靠的体外到体外抽取 (IVIVE) 来简化配方开发.
- 该方法对于表现出复杂的药物动力学特征的药物特别有效,包括具有实质性第一通代谢的药物.
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