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Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations

Mechanical and mechanochemical models of pattern formation in biological tissues have been used to study a variety of biomedical systems, particularly in developmental biology, and describe the physical interactions between cells and their local surroundings. These models in their original form cons...

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Autores principales: Villa, Chiara, Chaplain, Mark A. J., Gerisch, Alf, Lorenzi, Tommaso
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154836/
https://www.ncbi.nlm.nih.gov/pubmed/34037880
http://dx.doi.org/10.1007/s11538-021-00912-5
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author Villa, Chiara
Chaplain, Mark A. J.
Gerisch, Alf
Lorenzi, Tommaso
author_facet Villa, Chiara
Chaplain, Mark A. J.
Gerisch, Alf
Lorenzi, Tommaso
author_sort Villa, Chiara
collection PubMed
description Mechanical and mechanochemical models of pattern formation in biological tissues have been used to study a variety of biomedical systems, particularly in developmental biology, and describe the physical interactions between cells and their local surroundings. These models in their original form consist of a balance equation for the cell density, a balance equation for the density of the extracellular matrix (ECM), and a force-balance equation describing the mechanical equilibrium of the cell-ECM system. Under the assumption that the cell-ECM system can be regarded as an isotropic linear viscoelastic material, the force-balance equation is often defined using the Kelvin–Voigt model of linear viscoelasticity to represent the stress–strain relation of the ECM. However, due to the multifaceted bio-physical nature of the ECM constituents, there are rheological aspects that cannot be effectively captured by this model and, therefore, depending on the pattern formation process and the type of biological tissue considered, other constitutive models of linear viscoelasticity may be better suited. In this paper, we systematically assess the pattern formation potential of different stress–strain constitutive equations for the ECM within a mechanical model of pattern formation in biological tissues. The results obtained through linear stability analysis and the dispersion relations derived therefrom support the idea that fluid-like constitutive models, such as the Maxwell model and the Jeffrey model, have a pattern formation potential much higher than solid-like models, such as the Kelvin–Voigt model and the standard linear solid model. This is confirmed by the results of numerical simulations, which demonstrate that, all else being equal, spatial patterns emerge in the case where the Maxwell model is used to represent the stress–strain relation of the ECM, while no patterns are observed when the Kelvin–Voigt model is employed. Our findings suggest that further empirical work is required to acquire detailed quantitative information on the mechanical properties of components of the ECM in different biological tissues in order to furnish mechanical and mechanochemical models of pattern formation with stress–strain constitutive equations for the ECM that provide a more faithful representation of the underlying tissue rheology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-021-00912-5.
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spelling pubmed-81548362021-06-01 Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations Villa, Chiara Chaplain, Mark A. J. Gerisch, Alf Lorenzi, Tommaso Bull Math Biol Special Issue: Celebrating J. D. Murray Mechanical and mechanochemical models of pattern formation in biological tissues have been used to study a variety of biomedical systems, particularly in developmental biology, and describe the physical interactions between cells and their local surroundings. These models in their original form consist of a balance equation for the cell density, a balance equation for the density of the extracellular matrix (ECM), and a force-balance equation describing the mechanical equilibrium of the cell-ECM system. Under the assumption that the cell-ECM system can be regarded as an isotropic linear viscoelastic material, the force-balance equation is often defined using the Kelvin–Voigt model of linear viscoelasticity to represent the stress–strain relation of the ECM. However, due to the multifaceted bio-physical nature of the ECM constituents, there are rheological aspects that cannot be effectively captured by this model and, therefore, depending on the pattern formation process and the type of biological tissue considered, other constitutive models of linear viscoelasticity may be better suited. In this paper, we systematically assess the pattern formation potential of different stress–strain constitutive equations for the ECM within a mechanical model of pattern formation in biological tissues. The results obtained through linear stability analysis and the dispersion relations derived therefrom support the idea that fluid-like constitutive models, such as the Maxwell model and the Jeffrey model, have a pattern formation potential much higher than solid-like models, such as the Kelvin–Voigt model and the standard linear solid model. This is confirmed by the results of numerical simulations, which demonstrate that, all else being equal, spatial patterns emerge in the case where the Maxwell model is used to represent the stress–strain relation of the ECM, while no patterns are observed when the Kelvin–Voigt model is employed. Our findings suggest that further empirical work is required to acquire detailed quantitative information on the mechanical properties of components of the ECM in different biological tissues in order to furnish mechanical and mechanochemical models of pattern formation with stress–strain constitutive equations for the ECM that provide a more faithful representation of the underlying tissue rheology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11538-021-00912-5. Springer US 2021-05-26 2021 /pmc/articles/PMC8154836/ /pubmed/34037880 http://dx.doi.org/10.1007/s11538-021-00912-5 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Special Issue: Celebrating J. D. Murray
Villa, Chiara
Chaplain, Mark A. J.
Gerisch, Alf
Lorenzi, Tommaso
Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title_full Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title_fullStr Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title_full_unstemmed Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title_short Mechanical Models of Pattern and Form in Biological Tissues: The Role of Stress–Strain Constitutive Equations
title_sort mechanical models of pattern and form in biological tissues: the role of stress–strain constitutive equations
topic Special Issue: Celebrating J. D. Murray
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154836/
https://www.ncbi.nlm.nih.gov/pubmed/34037880
http://dx.doi.org/10.1007/s11538-021-00912-5
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