In vitro to in vivo acetaminophen hepatotoxicity extrapolation using classical schemes, pharmacodynamic models and a multiscale spatial-temporal liver twin

• Published in: Frontiers in bioengineering and biotechnology 2023-02, Vol.11, p.1049564-1049564
• Main Authors: Dichamp, Jules, Cellière, Geraldine, Ghallab, Ahmed, Hassan, Reham, Boissier, Noemie, Hofmann, Ute, Reinders, Joerg, Sezgin, Selahaddin, Zühlke, Sebastian, Hengstler, Jan G, Drasdo, Dirk
• Format: Article
• Language: English
• Subjects: acetaminophen; APAP; Bioengineering and Biotechnology; digital twin; drug toxicity; in vitro to in vivo extrapolation; multi-scale
• ISSN: 2296-4185; 2296-4185
• DOI: 10.3389/fbioe.2023.1049564

to 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 toxicity from 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.