Skip to main navigation Skip to search Skip to main content

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

  • Christina Surulescu
  • , Elise Grosjean
  • , Martin Dauner
  • , Michael Doser
  • , Henry Jäger
  • , Alex Keilmann
  • , Carsten Linti
  • , Shimi Chettiparambil Mohanan
  • , Graciosa Quelhas Teixeira
  • , Claudia Redenbach
  • , Luisa de Roy
  • , Andreas Martin Seitz
  • , Bernd Simeon
  • University of Kaiserslautern
  • Deutsche Institute für Textil- und Faserforschung (DITF)
  • Centre of Musculoskeletal Research Ulm

Research output: Contribution to journalArticlepeer-review

Abstract

We develop a model for the dynamics of human mesenchymal stem cells (hMSCs) and chondrocytes evolving in a nonwoven polyethylene terephtalate (PET) scaffold 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 the 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.

Original languageEnglish
Article number116535
JournalApplied Mathematical Modelling
Volume151
DOIs
Publication statusPublished - 1 Mar 2026

Keywords

  • Dynamics of mesenchymal stem cells and chondrocytes
  • Interdisciplinary approach
  • Multiscale mathematical modeling
  • Numerical simulations
  • Statistical assessment of CT images
  • Tissue regeneration

Fingerprint

Dive into the research topics of 'An in-silico approach to meniscus tissue regeneration: Modeling, numerical simulation, and experimental analysis'. Together they form a unique fingerprint.

Cite this