Vrenken Paul, Vertzoni Maria, Frechen Sebastian, Solodenko Juri, Meyer Michaela, Muenster Uwe, Dallmann André
National and Kapodistrian University of Athens, Department of Pharmacy, Panepistimiopolis, Zografou, Greece; Bayer AG, Pharmacometrics/Modeling and Simulation, Model-Informed Drug Development, Leverkusen, Germany.
National and Kapodistrian University of Athens, Department of Pharmacy, Panepistimiopolis, Zografou, Greece.
Eur J Pharm Sci. 2025 Sep 1;212:107189. doi: 10.1016/j.ejps.2025.107189. Epub 2025 Jul 2.
This manuscript introduces a novel, free and open-source physiologically based biopharmaceutics modeling (PBBM) workflow to support decision-making during oral drug product development. Developed within the Open Systems Pharmacology (OSP) framework, this workflow combines three open-source tools to predict in vivo absorption by integrating solubility, dissolution, and systemic pharmacokinetics. The PBBM workflow was successfully applied by 1) deriving solubility and dissolution parameters for vericiguat from in vitro experiments as detailed in the accompanying Part 1 publication (Vrenken et al., 2025); 2) then integrating these parameters into a physiologically based pharmacokinetic (PBPK) model. This model incorporates updates to luminal parameters, including pH and bile salt concentration, and employs a new dissolution model accounting for bile salt effects and hydrodynamics. Simulations of vericiguat pharmacokinetics in fasted, fed, and proton pump inhibitor (PPI)-treated states showed good agreement with observed clinical data. Further refinements that could enhance the PBBM workflow's capabilities were identified. However, the successful application to vericiguat highlights its potential for PBBM applications, including virtual bioequivalence assessments, formulation bridging, and dose selection. While validation across additional case studies is necessary, this free and open-source approach provides a robust foundation for advancing PBBM.
本手稿介绍了一种新颖、免费且开源的基于生理学的生物药剂学建模(PBBM)工作流程,以支持口服药物产品开发过程中的决策制定。该工作流程在开放系统药理学(OSP)框架内开发,结合了三个开源工具,通过整合溶解度、溶出度和全身药代动力学来预测体内吸收。PBBM工作流程通过以下方式成功应用:1)如随附的第1部分出版物(Vrenken等人,2025年)中详细所述,从体外实验中推导维立西呱的溶解度和溶出度参数;2)然后将这些参数整合到基于生理学的药代动力学(PBPK)模型中。该模型纳入了对管腔参数的更新,包括pH值和胆盐浓度,并采用了一种新的溶出模型,该模型考虑了胆盐效应和流体动力学。在禁食、进食和质子泵抑制剂(PPI)治疗状态下对维立西呱药代动力学的模拟与观察到的临床数据显示出良好的一致性。确定了可以增强PBBM工作流程能力的进一步改进措施。然而,维立西呱的成功应用突出显示了其在PBBM应用中的潜力,包括虚拟生物等效性评估、制剂桥接和剂量选择。虽然需要通过更多案例研究进行验证,但这种免费且开源的方法为推进PBBM提供了坚实的基础。