On a mathematical model for tissue regeneration

Fuente: arXiv
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Main Authors: Mohanan, Shimi Chettiparambil, Mohan, Nishith, Surulescu, Christina
Format: Preprint
Published: 2024
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author Mohanan, Shimi Chettiparambil
Mohan, Nishith
Surulescu, Christina
author_facet Mohanan, Shimi Chettiparambil
Mohan, Nishith
Surulescu, Christina
contents We propose a PDE-ODE model for tissue regeneration, obtained by parabolic upscaling from kinetic transport equations written for the mesoscopic densities of mesenchymal stem cells and chondrocytes which evolve in an artificial scaffold impregnated with hyaluron. Due to the simple chosen turning kernels, the effective equations obtained on the macroscopic level are of the usual reaction-diffusion-taxis type. We prove global existence of solutions to the coupled macroscopic system and perform a stability and bifurcation analysis, which shows that the observed patterns are driven by taxis. Numerical simulations illustrate the model behavior for various tactic sensitivities and initial conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2403_04516
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On a mathematical model for tissue regeneration
Mohanan, Shimi Chettiparambil
Mohan, Nishith
Surulescu, Christina
Analysis of PDEs
We propose a PDE-ODE model for tissue regeneration, obtained by parabolic upscaling from kinetic transport equations written for the mesoscopic densities of mesenchymal stem cells and chondrocytes which evolve in an artificial scaffold impregnated with hyaluron. Due to the simple chosen turning kernels, the effective equations obtained on the macroscopic level are of the usual reaction-diffusion-taxis type. We prove global existence of solutions to the coupled macroscopic system and perform a stability and bifurcation analysis, which shows that the observed patterns are driven by taxis. Numerical simulations illustrate the model behavior for various tactic sensitivities and initial conditions.
title On a mathematical model for tissue regeneration
topic Analysis of PDEs
url https://arxiv.org/abs/2403.04516