A liver digital twin for in silico testing of cellular and inter-cellular mechanisms in regeneration after drug-induced damage.
Mathematical biosciences
Systems biology
Tissue Engineering
Journal
iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038
Informations de publication
Date de publication:
16 Feb 2024
16 Feb 2024
Historique:
received:
09
05
2022
revised:
22
02
2023
accepted:
25
09
2023
medline:
19
2
2024
pubmed:
19
2
2024
entrez:
19
2
2024
Statut:
epublish
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 was 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 the 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 toward the most informative (lacking) parameters that can be experimentally addressed.
Identifiants
pubmed: 38371522
doi: 10.1016/j.isci.2023.108077
pii: S2589-0042(23)02154-5
pmc: PMC10869925
doi:
Types de publication
Journal Article
Langues
eng
Pagination
108077Informations de copyright
© 2023.
Déclaration de conflit d'intérêts
The authors declare no competing interests.