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Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks

During Achilles tendon healing in rodents, besides the expected tendon tissue, also cartilage-, bone- and fat-like tissue features have been observed during the first twenty weeks of healing. Several studies have hypothesized that mechanical loading may play a key role in the formation of different...

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Autores principales: Notermans, Thomas, Isaksson, Hanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097799/
https://www.ncbi.nlm.nih.gov/pubmed/36542228
http://dx.doi.org/10.1007/s10237-022-01672-4
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author Notermans, Thomas
Isaksson, Hanna
author_facet Notermans, Thomas
Isaksson, Hanna
author_sort Notermans, Thomas
collection PubMed
description During Achilles tendon healing in rodents, besides the expected tendon tissue, also cartilage-, bone- and fat-like tissue features have been observed during the first twenty weeks of healing. Several studies have hypothesized that mechanical loading may play a key role in the formation of different tissue types during healing. We recently developed a computational mechanobiological framework to predict tendon tissue production, organization and mechanical properties during tendon healing. In the current study, we aimed to explore possible mechanobiological related mechanisms underlying formation of other tissue types than tendon tissue during tendon healing. To achieve this, we further developed our recent framework to predict formation of different tissue types, based on mechanobiological models established in other fields, which have earlier not been applied to study tendon healing. We explored a wide range of biophysical stimuli, i.e., principal strain, hydrostatic stress, pore pressure, octahedral shear strain, fluid flow, angiogenesis and oxygen concentration, that may promote the formation of different tissue types. The numerical framework predicted spatiotemporal formation of tendon-, cartilage-, bone- and to a lesser degree fat-like tissue throughout the first twenty weeks of healing, similar to recent experimental reports. Specific features of experimental data were captured by different biophysical stimuli. Our modeling approach showed that mechanobiology may play a role in governing the formation of different tissue types that have been experimentally observed during tendon healing. This study provides a numerical tool that can contribute to a better understanding of tendon mechanobiology during healing. Developing these tools can ultimately lead to development of better rehabilitation regimens that stimulate tendon healing and prevent unwanted formation of cartilage-, fat- and bone-like tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10237-022-01672-4.
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spelling pubmed-100977992023-04-14 Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks Notermans, Thomas Isaksson, Hanna Biomech Model Mechanobiol Original Paper During Achilles tendon healing in rodents, besides the expected tendon tissue, also cartilage-, bone- and fat-like tissue features have been observed during the first twenty weeks of healing. Several studies have hypothesized that mechanical loading may play a key role in the formation of different tissue types during healing. We recently developed a computational mechanobiological framework to predict tendon tissue production, organization and mechanical properties during tendon healing. In the current study, we aimed to explore possible mechanobiological related mechanisms underlying formation of other tissue types than tendon tissue during tendon healing. To achieve this, we further developed our recent framework to predict formation of different tissue types, based on mechanobiological models established in other fields, which have earlier not been applied to study tendon healing. We explored a wide range of biophysical stimuli, i.e., principal strain, hydrostatic stress, pore pressure, octahedral shear strain, fluid flow, angiogenesis and oxygen concentration, that may promote the formation of different tissue types. The numerical framework predicted spatiotemporal formation of tendon-, cartilage-, bone- and to a lesser degree fat-like tissue throughout the first twenty weeks of healing, similar to recent experimental reports. Specific features of experimental data were captured by different biophysical stimuli. Our modeling approach showed that mechanobiology may play a role in governing the formation of different tissue types that have been experimentally observed during tendon healing. This study provides a numerical tool that can contribute to a better understanding of tendon mechanobiology during healing. Developing these tools can ultimately lead to development of better rehabilitation regimens that stimulate tendon healing and prevent unwanted formation of cartilage-, fat- and bone-like tissues. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10237-022-01672-4. Springer Berlin Heidelberg 2022-12-21 2023 /pmc/articles/PMC10097799/ /pubmed/36542228 http://dx.doi.org/10.1007/s10237-022-01672-4 Text en © The Author(s) 2022 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 Original Paper
Notermans, Thomas
Isaksson, Hanna
Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title_full Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title_fullStr Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title_full_unstemmed Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title_short Predicting the formation of different tissue types during Achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
title_sort predicting the formation of different tissue types during achilles tendon healing using mechanoregulated and oxygen-regulated frameworks
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097799/
https://www.ncbi.nlm.nih.gov/pubmed/36542228
http://dx.doi.org/10.1007/s10237-022-01672-4
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