Computational modeling and simulation of epithelial wound closure.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
17 04 2023
17 04 2023
Historique:
received:
27
02
2022
accepted:
07
04
2023
medline:
19
4
2023
entrez:
17
4
2023
pubmed:
18
4
2023
Statut:
epublish
Résumé
Wounds in the epithelium may lead to serious injurious events or chronic inflammatory diseases, however, multicellular organisms have the ability to self-repair wounds through the movement of epithelial cell toward the wound area. Despite intensive studies exploring the mechanism of wound closure, the role of mechanics in epithelial wound closure is still not well explained. In order to investigate the role of mechanical properties on wound closure process, a three-dimensional continuum physics-based computational model is presented in this study. The model takes into account the material property of the epithelial cell, intercellular interactions between neighboring cells at cell-cell junctions, and cell-substrate adhesion between epithelial cells and ECM. Through finite element simulation, it is found that the closure efficiency is related to the initial gap size and the intensity of lamellipodial protrusion. It is also shown that cells at the wound edge undergo higher stress compared with other cells in the epithelial monolayer, and the cellular normal stress dominates over the cellular shear stress. The model presented in this study can be employed as a numerical tool to unravel the mechanical principles behind the complex wound closure process. These results might have the potential to improve effective wound management and optimize the treatment.
Identifiants
pubmed: 37069231
doi: 10.1038/s41598-023-33111-4
pii: 10.1038/s41598-023-33111-4
pmc: PMC10110613
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
6265Subventions
Organisme : NIGMS NIH HHS
ID : SC2 GM112575
Pays : United States
Informations de copyright
© 2023. The Author(s).
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