Development of a novel physiologically based biopharmaceutics modeling (PBBM) framework using the open systems pharmacology suite, part 1: in vitro modeling of vericiguat
Paul Vrenken , Maria Vertzoni , Sebastian Frechen , Juri Solodenko , Michaela Meyer , Uwe Muenster , André Dallmann
{"title":"Development of a novel physiologically based biopharmaceutics modeling (PBBM) framework using the open systems pharmacology suite, part 1: in vitro modeling of vericiguat","authors":"Paul Vrenken , Maria Vertzoni , Sebastian Frechen , Juri Solodenko , Michaela Meyer , Uwe Muenster , André Dallmann","doi":"10.1016/j.ejps.2025.107164","DOIUrl":null,"url":null,"abstract":"<div><div>Physiologically Based Biopharmaceutics Modeling (PBBM) links <em>in vitro</em> 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 <em>in vitro</em> data, with an updated MoBi® dissolution model that accounts for factors such as hydrodynamic diffusion layer thickness changes and micelle partitioning.</div><div>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 <em>in vitro</em> 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, <em>in silico</em> formulation optimization, formulation bridging, dose selection, and setting dissolution specifications.</div></div>","PeriodicalId":12018,"journal":{"name":"European Journal of Pharmaceutical Sciences","volume":"212 ","pages":"Article 107164"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Pharmaceutical Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0928098725001630","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The journal publishes research articles, review articles and scientific commentaries on all aspects of the pharmaceutical sciences with emphasis on conceptual novelty and scientific quality. The Editors welcome articles in this multidisciplinary field, with a focus on topics relevant for drug discovery and development.
More specifically, the Journal publishes reports on medicinal chemistry, pharmacology, drug absorption and metabolism, pharmacokinetics and pharmacodynamics, pharmaceutical and biomedical analysis, drug delivery (including gene delivery), drug targeting, pharmaceutical technology, pharmaceutical biotechnology and clinical drug evaluation. The journal will typically not give priority to manuscripts focusing primarily on organic synthesis, natural products, adaptation of analytical approaches, or discussions pertaining to drug policy making.
Scientific commentaries and review articles are generally by invitation only or by consent of the Editors. Proceedings of scientific meetings may be published as special issues or supplements to the Journal.