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Finite Element Modelling of a Cellular Electric Microenvironment
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Computational modeling to predict the micromechanical environment in tissue engineering scaffolds.

Mitchell I Page1, Peter E Linde2, Christian M Puttlitz3

  • 1Department of Mechanical Engineering, Colorado State University, Ft Collins, CO, USA.

Journal of Biomechanics
|March 12, 2021
PubMed
Summary

A new finite element model predicts the cellular micromechanical environment in tissue engineering scaffolds. This tool helps understand how mechanical forces influence cell fate for better organ regeneration.

Keywords:
Annulus fibrosusCellular micromechanical environmentComputational modelFinite elementTissue engineering

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Area of Science:

  • Biomaterials Science
  • Tissue Engineering
  • Computational Mechanics

Background:

  • Cell fate is crucial for tissue engineering (TE) and is influenced by mechanical loads.
  • Quantifying the cellular micromechanical environment (CME) within TE scaffolds is challenging.
  • Understanding CME is vital for predicting cell behavior and tissue regeneration outcomes.

Purpose of the Study:

  • To develop a finite element (FE) model of a TE scaffold unit cell.
  • To predict the CME and cell fates under prescribed mechanical loading.
  • To establish a computational tool for analyzing cell-environment interactions in TE.

Main Methods:

  • Characterized fibrin hydrogel mechanics using unconfined and confined compression tests.
  • Developed a unit cell FE model incorporating a compressible hyperelastic material model.
  • Evaluated FE mesh, boundary conditions, and model convergence for accuracy and efficiency.

Main Results:

  • A compressible second-order reduced polynomial hyperelastic model accurately fitted experimental data.
  • A converged FE model was achieved with specific mesh parameters (40 µm ROI, 60 µm non-ROI) in 54 minutes.
  • Out-of-plane boundary conditions significantly influenced ROI mechanics in a bilayer unit cell.

Conclusions:

  • The developed FE unit cell model effectively simulates the mechanical state of cell-laden hydrogels in TE scaffolds.
  • This model provides a pathway to characterize CME and predict cell fate using 3D micromechanical criteria.
  • The study advances computational approaches for designing effective tissue engineering strategies.