Vrenken Paul, Vertzoni Maria, Frechen Sebastian, Solodenko Juri, Meyer Michaela, Muenster Uwe, Dallmann André
Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis, Zografou, Greece; Bayer AG, Pharmacometrics/Modeling and Simulation, Model-Informed Drug Development, Leverkusen, Germany.
Department of Pharmacy, National and Kapodistrian University of Athens, Panepistimiopolis, Zografou, Greece.
Eur J Pharm Sci. 2025 Sep 1;212:107164. doi: 10.1016/j.ejps.2025.107164. Epub 2025 Jun 10.
Physiologically Based Biopharmaceutics Modeling (PBBM) links in vitro solubility and dissolution kinetics of oral drugs to Physiologically Based Pharmacokinetic (PBPK) models, enabling the prediction of drug bioavailability. This approach reduces reliance on animal experimentation during drug development. Part 1 of this series introduces a novel, open-source PBBM workflow using the Open Systems Pharmacology (OSP) Software Suite. It combines the newly developed OSP solubility toolbox to estimate drug aqueous solubility and bile salt micelle partitioning from in vitro data, with an updated MoBi® dissolution model that accounts for factors such as hydrodynamic diffusion layer thickness changes and micelle partitioning. This approach was applied to poorly soluble, highly permeable vericiguat, a first-in-class soluble guanylate cyclase (sGC) stimulator for the treatment of chronic heart failure. The solubility models effectively described the aqueous solubility-pH profile and bile salt partitioning, while the dissolution model captured the in vitro dissolution kinetics of various tablet formulations. Part 2 focuses on integrating developed PBBM sub-models into PBPK models using PK-Sim® to predict vericiguat's clinical pharmacokinetics after oral administration. This PBBM workflow demonstrates potential for diverse applications, including predictive bioavailability and bioequivalence assessments, in silico formulation optimization, formulation bridging, dose selection, and setting dissolution specifications.
基于生理学的生物药剂学建模(PBBM)将口服药物的体外溶解度和溶解动力学与基于生理学的药代动力学(PBPK)模型联系起来,从而能够预测药物的生物利用度。这种方法减少了药物开发过程中对动物实验的依赖。本系列的第1部分介绍了一种使用开放系统药理学(OSP)软件套件的新型开源PBBM工作流程。它将新开发的OSP溶解度工具箱与体外数据相结合,以估计药物的水溶解度和胆盐胶束分配,并结合了一个更新的MoBi®溶解模型,该模型考虑了诸如流体动力学扩散层厚度变化和胶束分配等因素。这种方法被应用于难溶性、高渗透性的维立西呱,这是一种用于治疗慢性心力衰竭的一流可溶性鸟苷酸环化酶(sGC)刺激剂。溶解度模型有效地描述了水溶解度-pH曲线和胆盐分配,而溶解模型则捕捉了各种片剂配方的体外溶解动力学。第2部分重点介绍了使用PK-Sim®将已开发的PBBM子模型集成到PBPK模型中,以预测维立西呱口服给药后的临床药代动力学。这种PBBM工作流程展示了在多种应用中的潜力,包括预测性生物利用度和生物等效性评估、计算机辅助制剂优化、制剂桥接、剂量选择和设定溶解规格。