物理DAT:一个基于生理学的药物动力学模型,用于解开使用PhysPK®的溶解,过渡和吸收过程
Marina Cuquerella-Gilabert1, Javier Reig-López2, Jenifer Serna3
1Department of Pharmacy and Pharmaceutical Technology and Parasitology, University of Valencia, Valencia, Spain; Interuniversity Research Institute for Molecular Recognition and Technological Development, Polytechnic University of Valencia-University of Valencia, Valencia, Spain; Simulation Department, Empresarios Agrupados Internacional S.A., Madrid, Spain.
这项研究开发了一种机械模型 (Phys-DAT) 来预测口服药物吸收,证明其准确性和可靠性与BCS I和II药物的现有生理学基础药理动力学 (PBPK) 软件相提并论.
科学领域:
- 药理动力学和药物新陈代谢
- 计算生物学和生物信息学
- 制药科学 制药科学
背景情况:
- 基于生理学的药理动力学 (PBPK) 软件需要更大的灵活性来处理复杂的LADME过程.
- 形方法对于有效的药物特性测试和合格至关重要.
- 口服药物吸收模型需要先进的计算工具.
研究的目的:
- 开发一种机械模型框架 (Phys-DAT) 用于溶解,过渡和吸收过程.
- 将Phys-DAT集成到PhysPK平台中.
- 评估Phys-DAT内非因果性MOOM方法的预测能力与基于ODE的PBPK软件相比.
主要方法:
- 开发了一个结合药物的热力学状态 (未释放,未溶解,溶解) 的PBPK模型.
- 代表了9个隔间的胃肠道和第一阶段的运输动力学.
- 模拟溶解使用可溶性依赖/独立机制和pH效应;用于被动扩散的线性过渡和吸收机制.
- 验证了Phys-DAT模型内部 (基于模拟) 和外部 (in silico/in vivo数据) 的BCS I和II药物.
主要成果:
- Phys-DAT模型准确预测BCS I和II药物的血度概况,Cmax,Tmax和AUC0-t.
- 内部和外部验证证实与理论假设的调整和良好的预测性能.
- 对AFE,AAFE和PPE的计算表明,预测/观察的比率处于可以接受的范围内.
结论:
- Phys-DAT提供了一种机械方法来预测口服吸收,包括溶解,pH效应,过渡和吸收.
- PhysPK平台表现出强大的预测准确性,与基于ODE的PBPK软件相提并论.
- Phys-DAT模型在健康志愿者中显示了口服药物的可靠预测,支持非因果性MOOM方法的可互换性.
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