{"title":"CEC03-05 Integrated PBPK/QST modeling to inform the safety assessmentpractical hands-on examples across multiple disease areas","authors":"S. Schaller, P. Balazki","doi":"10.1016/j.toxlet.2025.07.024","DOIUrl":null,"url":null,"abstract":"<div><div>Building upon the foundational lectures on Physiologically Based Pharmacokinetic (PBPK) modeling and its integration with Quantitative Systems Toxicology (QST), this final session culminates in a practical demonstration of an advanced, modular approach to safety assessment. We will introduce the concept of a “Quantitative Ecosystem” designed for Next Generation Risk Assessment (NGRA). This ecosystem leverages modular PBPK-QST platforms, exemplified by the open-source Open Systems Pharmacology (OSP) Suite (www.open-systems-pharmacology.org <span><span><sup>[1]</sup></span></span>), to enhance and streamline toxicological evaluations.</div><div>This presentation will feature a software demonstration focusing on how the OSP Suite facilitates this integrated and modular ecosystem. You will see how it supports the seamless development, validation, and deployment of PBPK and QST models tailored for safety applications. We will illustrate its power through practical, hands-on examples relevant to NGRA, including:\n\t\t\t\t<ul><li><span>•</span><span><div>A <strong>Thyroid PBPK-QST/quantitative Adverse Outcome Pathway (qAOP) platform</strong> for the risk assessment of thyroid disruptors.</div></span></li><li><span>•</span><span><div>A <strong>DILI (Drug-Induced Liver Injury) platform</strong> designed to assess and predict potential liver injury.</div></span></li></ul></div><div>The session will highlight how key features of the OSP Suite, such as its continuously evolving model libraries (PK-Sim for PBPK, MoBi for QST modules), model modularity, reusability, and pathways towards automated qualification, contribute to more robust, transparent, reproducible, and efficient safety decision-making. This demonstration will directly complement and set the stage for the hands-on exercises where participants will utilize the OSP software to explore model parameterization and predict safety risks.</div></div><div><h3>Learning Objectives for this Presentation:</h3><div>Upon completion of this session, participants will be able to:\n\t\t\t\t<ul><li><span>•</span><span><div>Understand the “Quantitative Ecosystem” concept and its application to modular PBPK-QST in safety and Next Generation Risk Assessment.</div></span></li><li><span>•</span><span><div>Recognize how the Open Systems Pharmacology (OSP) Suite and its components (e.g., PK-Sim, MoBi) enable this modular and integrated approach.</div></span></li><li><span>•</span><span><div>Witness practical software applications for NGRA, specifically for assessing thyroid disruption and Drug-Induced Liver Injury.</div></span></li><li><span>•</span><span><div>Appreciate how modularity, model reusability, and features supporting automated qualification can enhance the robustness, transparency, and efficiency of safety evaluations.</div></span></li></ul></div></div>","PeriodicalId":23206,"journal":{"name":"Toxicology letters","volume":"411 ","pages":"Page S8"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Toxicology letters","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378427425016078","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Building upon the foundational lectures on Physiologically Based Pharmacokinetic (PBPK) modeling and its integration with Quantitative Systems Toxicology (QST), this final session culminates in a practical demonstration of an advanced, modular approach to safety assessment. We will introduce the concept of a “Quantitative Ecosystem” designed for Next Generation Risk Assessment (NGRA). This ecosystem leverages modular PBPK-QST platforms, exemplified by the open-source Open Systems Pharmacology (OSP) Suite (www.open-systems-pharmacology.org [1]), to enhance and streamline toxicological evaluations.
This presentation will feature a software demonstration focusing on how the OSP Suite facilitates this integrated and modular ecosystem. You will see how it supports the seamless development, validation, and deployment of PBPK and QST models tailored for safety applications. We will illustrate its power through practical, hands-on examples relevant to NGRA, including:
•
A Thyroid PBPK-QST/quantitative Adverse Outcome Pathway (qAOP) platform for the risk assessment of thyroid disruptors.
•
A DILI (Drug-Induced Liver Injury) platform designed to assess and predict potential liver injury.
The session will highlight how key features of the OSP Suite, such as its continuously evolving model libraries (PK-Sim for PBPK, MoBi for QST modules), model modularity, reusability, and pathways towards automated qualification, contribute to more robust, transparent, reproducible, and efficient safety decision-making. This demonstration will directly complement and set the stage for the hands-on exercises where participants will utilize the OSP software to explore model parameterization and predict safety risks.
Learning Objectives for this Presentation:
Upon completion of this session, participants will be able to:
•
Understand the “Quantitative Ecosystem” concept and its application to modular PBPK-QST in safety and Next Generation Risk Assessment.
•
Recognize how the Open Systems Pharmacology (OSP) Suite and its components (e.g., PK-Sim, MoBi) enable this modular and integrated approach.
•
Witness practical software applications for NGRA, specifically for assessing thyroid disruption and Drug-Induced Liver Injury.
•
Appreciate how modularity, model reusability, and features supporting automated qualification can enhance the robustness, transparency, and efficiency of safety evaluations.