An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis
<|reference_start|>An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis: 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.<|reference_end|>
@article{grosjean2024an,
    title={An in-silico approach to meniscus tissue regeneration: Modeling,
  numerical simulation, and experimental analysis},
    author={Elise Grosjean, Alex Keilmann, Henry J"ager, Shimi Mohanan, Claudia
  Redenbach, Bernd Simeon, Christina Surulescu, Luisa de Roy, Andreas Seitz,
  Graciosa Teixeira, Martin Dauner, Carsten Linti, and G"unter Schmidt},
    journal={arXiv preprint arXiv:2403.05909},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.05909},
    primaryClass={q-bio.TO cs.NA math.AP math.NA q-bio.CB q-bio.QM}
}