Evidence map›Paper›PMID 36542228›Full record

ArticleBiomechanics and modeling in mechanobiology2023

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

Thomas Notermans, Hanna Isaksson

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Thomas NotermansDepartment of Biomedical Engineering, Lund University, Lund, Sweden. thomas.notermans@bme.lth.se.ORCID http://orcid.org/0000-0003-0381-3616
Hanna IsakssonDepartment of Biomedical Engineering, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-9690-8907

Funding

European Union's Horizon 2020 research and innovation programme 101002516European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement 713645Knut och Alice Wallenbergs Stiftelse 2017.0221
6 · The paper itself

Abstract

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.

Indexed as

Achilles TendonBone and BonesCartilageOxygenWound HealingOxygenAngiogenesisCell infiltrationEndochondral ossificationHeterotopic ossificationMechanobiology

Identifiers

PMID36542228
PMCPMC10097799

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.