Percolation of collagen stress in a random network model of the alveolar wall

Abstract Fibrotic diseases are characterized by progressive and often irreversible scarring of connective tissue in various organs, leading to substantial changes in tissue mechanics largely as a result of alterations in collagen structure. This is particularly important in the lung because its bulk...

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Autores principales:	Dylan T. Casey, Samer Bou Jawde, Jacob Herrmann, Vitor Mori, J. Matthew Mahoney, Béla Suki, Jason H. T. Bates
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0070ab20db424cf79c3455e7684544c7
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spelling	oai:doaj.org-article:0070ab20db424cf79c3455e7684544c72021-12-02T18:51:47ZPercolation of collagen stress in a random network model of the alveolar wall10.1038/s41598-021-95911-w2045-2322https://doaj.org/article/0070ab20db424cf79c3455e7684544c72021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-95911-whttps://doaj.org/toc/2045-2322Abstract Fibrotic diseases are characterized by progressive and often irreversible scarring of connective tissue in various organs, leading to substantial changes in tissue mechanics largely as a result of alterations in collagen structure. This is particularly important in the lung because its bulk modulus is so critical to the volume changes that take place during breathing. Nevertheless, it remains unclear how fibrotic abnormalities in the mechanical properties of pulmonary connective tissue can be linked to the stiffening of its individual collagen fibers. To address this question, we developed a network model of randomly oriented collagen and elastin fibers to represent pulmonary alveolar wall tissue. We show that the stress–strain behavior of this model arises via the interactions of collagen and elastin fiber networks and is critically dependent on the relative fiber stiffnesses of the individual collagen and elastin fibers themselves. We also show that the progression from linear to nonlinear stress–strain behavior of the model is associated with the percolation of stress across the collagen fiber network, but that the location of the percolation threshold is influenced by the waviness of collagen fibers.Dylan T. CaseySamer Bou JawdeJacob HerrmannVitor MoriJ. Matthew MahoneyBéla SukiJason H. T. BatesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Dylan T. Casey Samer Bou Jawde Jacob Herrmann Vitor Mori J. Matthew Mahoney Béla Suki Jason H. T. Bates Percolation of collagen stress in a random network model of the alveolar wall
description	Abstract Fibrotic diseases are characterized by progressive and often irreversible scarring of connective tissue in various organs, leading to substantial changes in tissue mechanics largely as a result of alterations in collagen structure. This is particularly important in the lung because its bulk modulus is so critical to the volume changes that take place during breathing. Nevertheless, it remains unclear how fibrotic abnormalities in the mechanical properties of pulmonary connective tissue can be linked to the stiffening of its individual collagen fibers. To address this question, we developed a network model of randomly oriented collagen and elastin fibers to represent pulmonary alveolar wall tissue. We show that the stress–strain behavior of this model arises via the interactions of collagen and elastin fiber networks and is critically dependent on the relative fiber stiffnesses of the individual collagen and elastin fibers themselves. We also show that the progression from linear to nonlinear stress–strain behavior of the model is associated with the percolation of stress across the collagen fiber network, but that the location of the percolation threshold is influenced by the waviness of collagen fibers.
format	article
author	Dylan T. Casey Samer Bou Jawde Jacob Herrmann Vitor Mori J. Matthew Mahoney Béla Suki Jason H. T. Bates
author_facet	Dylan T. Casey Samer Bou Jawde Jacob Herrmann Vitor Mori J. Matthew Mahoney Béla Suki Jason H. T. Bates
author_sort	Dylan T. Casey
title	Percolation of collagen stress in a random network model of the alveolar wall
title_short	Percolation of collagen stress in a random network model of the alveolar wall
title_full	Percolation of collagen stress in a random network model of the alveolar wall
title_fullStr	Percolation of collagen stress in a random network model of the alveolar wall
title_full_unstemmed	Percolation of collagen stress in a random network model of the alveolar wall
title_sort	percolation of collagen stress in a random network model of the alveolar wall
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0070ab20db424cf79c3455e7684544c7
work_keys_str_mv	AT dylantcasey percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT samerboujawde percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT jacobherrmann percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT vitormori percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT jmatthewmahoney percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT belasuki percolationofcollagenstressinarandomnetworkmodelofthealveolarwall AT jasonhtbates percolationofcollagenstressinarandomnetworkmodelofthealveolarwall
_version_	1718377365787115520

Percolation of collagen stress in a random network model of the alveolar wall

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