A digital twin of liver predicts regeneration after drug-induced damage at the level of cell type orchestration - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2022

A digital twin of liver predicts regeneration after drug-induced damage at the level of cell type orchestration

Résumé

This communication presents a mathematical mechanism-based model of the regenerating liver after drug-induced pericentral lobule damage resolving tissue microarchitecture. The consequence of alternative hypotheses about the interplay of different cell types on regeneration were simulated. Regeneration dynamics has been quantified by the size of the damage-induced dead cell area, the hepatocyte density and the spatial-temporal profile of the different cell types. We use deviations of observed trajectories from simulated system to identify branching points, at which the systems behavior cannot be explained by the underlying set of hypotheses anymore. Our procedure reflects a successful strategy for generating a fully digital liver-twin that, among others, permits to test perturbations from the molecular up to the tissue scale. The model simulations are complementing current knowledge on liver regeneration by identifying gaps in mechanistic relationships and guiding the system towards the most informative (lacking) parameters that can be experimentally addressed.
Fichier principal
Vignette du fichier
Main Text and SI.pdf (6.97 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03738207 , version 1 (25-07-2022)

Identifiants

  • HAL Id : hal-03738207 , version 1

Citer

Jieling Zhao, Ahmed Ghallab, Reham Hassan, Steven Dooley, Jan G Hengstler, et al.. A digital twin of liver predicts regeneration after drug-induced damage at the level of cell type orchestration. 2022. ⟨hal-03738207⟩
120 Consultations
81 Téléchargements

Partager

Gmail Facebook X LinkedIn More