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A three dimensional model of multicellular aggregate compression.

Chiara Giverso1, Salvatore Di Stefano, Alfio Grillo

  • 1Department of Mathematical Sciences, Politecnico di Torino, Corso Duca degli Abruzzi, 24 - 10129 Torino, Italy. chiara.giverso@polito.it.

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|November 26, 2019
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Summary
This summary is machine-generated.

This study introduces a 3D mechanical model for multicellular aggregates, simulating their compression and cell remodeling. The model accurately predicts biomechanical behaviors observed in biological tissues.

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Area of Science:

  • Biophysics
  • Tissue Engineering
  • Computational Biology

Background:

  • Multicellular aggregates serve as vital models for understanding tissue biomechanics.
  • Biomechanical forces are critical in numerous physiological and pathological processes.
  • Cellular reorganization, or remodeling, significantly impacts tissue behavior.

Purpose of the Study:

  • To develop and apply a novel three-dimensional (3D) mechanical model for multicellular aggregates.
  • To simulate the uniaxial compression of a spheroid aggregate under realistic biological conditions.
  • To investigate both elastic deformations and plastic-like remodeling during aggregate compression.

Main Methods:

  • Formulation of a 3D mechanical model incorporating elastic deformations and plastic-like remodeling.
  • Simulation of uniaxial compression using two parallel plates.
  • Solution of the contact problem between the aggregate and plates via the augmented Lagrangian method.

Main Results:

  • Numerical simulations demonstrated qualitative agreement with existing biological observations.
  • The model successfully captures the complex mechanical responses of multicellular aggregates.
  • Quantitative estimation of fundamental aggregate mechanical parameters is feasible.

Conclusions:

  • The proposed 3D mechanical model provides a robust framework for studying multicellular aggregate biomechanics.
  • The model's ability to simulate remodeling and contact phenomena enhances its biological relevance.
  • This approach offers valuable insights into tissue behavior and can aid in estimating key mechanical properties.