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A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon
Mechano-regulation during tendon healing, i.e. the relationship between mechanical stimuli and cellular response, has received more attention recently. However, the basic mechanobiological mechanisms governing tendon healing after a rupture are still not well-understood. Literature has reported spat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901741/ https://www.ncbi.nlm.nih.gov/pubmed/33556080 http://dx.doi.org/10.1371/journal.pcbi.1008636 |
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author | Notermans, Thomas Tanska, Petri Korhonen, Rami K. Khayyeri, Hanifeh Isaksson, Hanna |
author_facet | Notermans, Thomas Tanska, Petri Korhonen, Rami K. Khayyeri, Hanifeh Isaksson, Hanna |
author_sort | Notermans, Thomas |
collection | PubMed |
description | Mechano-regulation during tendon healing, i.e. the relationship between mechanical stimuli and cellular response, has received more attention recently. However, the basic mechanobiological mechanisms governing tendon healing after a rupture are still not well-understood. Literature has reported spatial and temporal variations in the healing of ruptured tendon tissue. In this study, we explored a computational modeling approach to describe tendon healing. In particular, a novel 3D mechano-regulatory framework was developed to investigate spatio-temporal evolution of collagen content and orientation, and temporal evolution of tendon stiffness during early tendon healing. Based on an extensive literature search, two possible relationships were proposed to connect levels of mechanical stimuli to collagen production. Since literature remains unclear on strain-dependent collagen production at high levels of strain, the two investigated production laws explored the presence or absence of collagen production upon non-physiologically high levels of strain (>15%). Implementation in a finite element framework, pointed to large spatial variations in strain magnitudes within the callus tissue, which resulted in predictions of distinct spatial distributions of collagen over time. The simulations showed that the magnitude of strain was highest in the tendon core along the central axis, and decreased towards the outer periphery. Consequently, decreased levels of collagen production for high levels of tensile strain were shown to accurately predict the experimentally observed delayed collagen production in the tendon core. In addition, our healing framework predicted evolution of collagen orientation towards alignment with the tendon axis and the overall predicted tendon stiffness agreed well with experimental data. In this study, we explored the capability of a numerical model to describe spatial and temporal variations in tendon healing and we identified that understanding mechano-regulated collagen production can play a key role in explaining heterogeneities observed during tendon healing. |
format | Online Article Text |
id | pubmed-7901741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-79017412021-03-02 A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon Notermans, Thomas Tanska, Petri Korhonen, Rami K. Khayyeri, Hanifeh Isaksson, Hanna PLoS Comput Biol Research Article Mechano-regulation during tendon healing, i.e. the relationship between mechanical stimuli and cellular response, has received more attention recently. However, the basic mechanobiological mechanisms governing tendon healing after a rupture are still not well-understood. Literature has reported spatial and temporal variations in the healing of ruptured tendon tissue. In this study, we explored a computational modeling approach to describe tendon healing. In particular, a novel 3D mechano-regulatory framework was developed to investigate spatio-temporal evolution of collagen content and orientation, and temporal evolution of tendon stiffness during early tendon healing. Based on an extensive literature search, two possible relationships were proposed to connect levels of mechanical stimuli to collagen production. Since literature remains unclear on strain-dependent collagen production at high levels of strain, the two investigated production laws explored the presence or absence of collagen production upon non-physiologically high levels of strain (>15%). Implementation in a finite element framework, pointed to large spatial variations in strain magnitudes within the callus tissue, which resulted in predictions of distinct spatial distributions of collagen over time. The simulations showed that the magnitude of strain was highest in the tendon core along the central axis, and decreased towards the outer periphery. Consequently, decreased levels of collagen production for high levels of tensile strain were shown to accurately predict the experimentally observed delayed collagen production in the tendon core. In addition, our healing framework predicted evolution of collagen orientation towards alignment with the tendon axis and the overall predicted tendon stiffness agreed well with experimental data. In this study, we explored the capability of a numerical model to describe spatial and temporal variations in tendon healing and we identified that understanding mechano-regulated collagen production can play a key role in explaining heterogeneities observed during tendon healing. Public Library of Science 2021-02-08 /pmc/articles/PMC7901741/ /pubmed/33556080 http://dx.doi.org/10.1371/journal.pcbi.1008636 Text en © 2021 Notermans et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Notermans, Thomas Tanska, Petri Korhonen, Rami K. Khayyeri, Hanifeh Isaksson, Hanna A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title | A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title_full | A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title_fullStr | A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title_full_unstemmed | A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title_short | A numerical framework for mechano-regulated tendon healing—Simulation of early regeneration of the Achilles tendon |
title_sort | numerical framework for mechano-regulated tendon healing—simulation of early regeneration of the achilles tendon |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901741/ https://www.ncbi.nlm.nih.gov/pubmed/33556080 http://dx.doi.org/10.1371/journal.pcbi.1008636 |
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