1. In-vitro to in-vivo acetaminophen hepatotoxicity extrapolation using classical schemes, pharmaco-dynamic models and a multiscale spatial-temporal liver twin
- Author
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Dichamp, Jules, Cellière, Geraldine, Ghallab, Ahmed, Hassan, Reham, Boissier, Noemie, Hofmann, Ute, Reinders, Joerg, Sezgin, Selahaddin, Zühlke, Sebastian, Hengstler, Jan, Drasdo, Dirk, SImulations en Médecine, BIOtechnologie et ToXicologie de systèmes multicellulaires (SIMBIOTX ), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Modelling and Analysis for Medical and Biological Applications (MAMBA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Leibniz Research Centre for Working Environment and Human Factors [Dortmund] (IFADO), Technische Universität Dortmund [Dortmund] (TU), Department of Forensic Medicine and Veterinary Toxicology [Qena], Faculty of Veterinary Medicine [Qena], South Valley University [Qena]-South Valley University [Qena], University of Tübingen, Support by EU-project PASSPORT, and ANR-16-RHUS-0005,iLite,iLite(2016)
- Subjects
Histology ,Extrapolation ,Modeling ,Biomedical Engineering ,Quantitative Biology - Tissues and Organs ,Bioengineering ,[SDV.TOX.TCA]Life Sciences [q-bio]/Toxicology/Toxicology and food chain ,FOS: Biological sciences ,APAP ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,Tissues and Organs (q-bio.TO) ,metabolism ,Multi-scale ,Biotechnology - Abstract
In vitro to in vivo extrapolation represents a critical challenge in toxicology. In this paper we explore extrapolation strategies for acetaminophen (APAP) based on mechanistic models, comparing classical (CL) homogeneous compartment pharmacodynamic (PD) models and a spatial-temporal (ST), multiscale digital twin model resolving liver microarchitecture at cellular resolution. The models integrate consensus detoxification reactions in each individual hepatocyte. We study the consequences of the two model types on the extrapolation and show in which cases these models perform better than the classical extrapolation strategy that is based either on the maximal drug concentration (Cmax) or the area under the pharmacokinetic curve (AUC) of the drug blood concentration. We find that an CL-model based on a well-mixed blood compartment is sufficient to correctly predict the in vivo toxicity from in vitro data. However, the ST-model that integrates more experimental information requires a change of at least one parameter to obtain the same prediction, indicating that spatial compartmentalization may indeed be an important factor.
- Published
- 2022
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