An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis

Fuente: arXiv
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Main Authors: Grosjean, Elise, Keilmann, Alex, Jäger, Henry, Mohanan, Shimi, Redenbach, Claudia, Simeon, Bernd, Surulescu, Christina, de Roy, Luisa, Seitz, Andreas, Teixeira, Graciosa, Dauner, Martin, Linti, Carsten, Schmidt, Günter
Format: Preprint
Published: 2024
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author Grosjean, Elise
Keilmann, Alex
Jäger, Henry
Mohanan, Shimi
Redenbach, Claudia
Simeon, Bernd
Surulescu, Christina
de Roy, Luisa
Seitz, Andreas
Teixeira, Graciosa
Dauner, Martin
Linti, Carsten
Schmidt, Günter
author_facet Grosjean, Elise
Keilmann, Alex
Jäger, Henry
Mohanan, Shimi
Redenbach, Claudia
Simeon, Bernd
Surulescu, Christina
de Roy, Luisa
Seitz, Andreas
Teixeira, Graciosa
Dauner, Martin
Linti, Carsten
Schmidt, Günter
contents We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron and supplied with a differentiation medium. The scaffold and the cells are assumed to be contained in a bioreactor with fluid perfusion. The differentiation of hMSCs into chondrocytes favors the production of extracellular matrix (ECM) and is influenced by fluid stress. The model takes deformations of ECM and PET scaffold into account. The scaffold structure is explicitly included by statistical assessment of the fibre distribution from CT images. The effective macroscopic equations are obtained by appropriate upscaling from dynamics on lower (microscopic and mesoscopic) scales and feature in the motility terms an explicit cell diffusion tensor encoding the assessed anisotropic scaffold structure. Numerical simulations show its influence on the overall cell and tissue dynamics.
format Preprint
id arxiv_https___arxiv_org_abs_2403_05909
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
Grosjean, Elise
Keilmann, Alex
Jäger, Henry
Mohanan, Shimi
Redenbach, Claudia
Simeon, Bernd
Surulescu, Christina
de Roy, Luisa
Seitz, Andreas
Teixeira, Graciosa
Dauner, Martin
Linti, Carsten
Schmidt, Günter
Tissues and Organs
Numerical Analysis
Analysis of PDEs
Cell Behavior
Quantitative Methods
We develop a model the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold impregnated with hyaluron and supplied with a differentiation medium. The scaffold and the cells are assumed to be contained in a bioreactor with fluid perfusion. The differentiation of hMSCs into chondrocytes favors the production of extracellular matrix (ECM) and is influenced by fluid stress. The model takes deformations of ECM and PET scaffold into account. The scaffold structure is explicitly included by statistical assessment of the fibre distribution from CT images. The effective macroscopic equations are obtained by appropriate upscaling from dynamics on lower (microscopic and mesoscopic) scales and feature in the motility terms an explicit cell diffusion tensor encoding the assessed anisotropic scaffold structure. Numerical simulations show its influence on the overall cell and tissue dynamics.
title An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
topic Tissues and Organs
Numerical Analysis
Analysis of PDEs
Cell Behavior
Quantitative Methods
url https://arxiv.org/abs/2403.05909