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Mechanobiological modelling of tendons : Review and future opportunities

Thompson, Mark S. LU ; Bajuri, M. Nazri; Khayyeri, Hanifeh LU and Isaksson, Hanna LU (2017) In Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 231(5). p.369-377
Abstract

Tendons are adapted to carry large, repeated loads and are clinically important for the maintenance of musculoskeletal health in an increasing, actively ageing population, as well as in elite athletes. Tendons are known to adapt to mechanical loading. Also, their healing and disease processes are highly sensitive to mechanical load. Computational modelling approaches developed to capture this mechanobiological adaptation in tendons and other tissues have successfully addressed many important scientific and clinical issues. The aim of this review is to identify techniques and approaches that could be further developed to address tendon-related problems. Biomechanical models are identified that capture the multi-level aspects of tendon... (More)

Tendons are adapted to carry large, repeated loads and are clinically important for the maintenance of musculoskeletal health in an increasing, actively ageing population, as well as in elite athletes. Tendons are known to adapt to mechanical loading. Also, their healing and disease processes are highly sensitive to mechanical load. Computational modelling approaches developed to capture this mechanobiological adaptation in tendons and other tissues have successfully addressed many important scientific and clinical issues. The aim of this review is to identify techniques and approaches that could be further developed to address tendon-related problems. Biomechanical models are identified that capture the multi-level aspects of tendon mechanics. Continuum whole tendon models, both phenomenological and microstructurally motivated, are important to estimate forces during locomotion activities. Fibril-level microstructural models are documented that can use these estimated forces to detail local mechanical parameters relevant to cell mechanotransduction. Cell-level models able to predict the response to such parameters are also described. A selection of updatable mechanobiological models is presented. These use mechanical signals, often continuum tissue level, along with rules for tissue change and have been applied successfully in many tissues to predict in vivo and in vitro outcomes. Signals may include scalars derived from the stress or strain tensors, or in poroelasticity also fluid velocity, while adaptation may be represented by changes to elastic modulus, permeability, fibril density or orientation. So far, only simple analytical approaches have been applied to tendon mechanobiology. With the development of sophisticated computational mechanobiological models in parallel with reporting more quantitative data from in vivo or clinical mechanobiological studies, for example, appropriate imaging, biochemical and histological data, this field offers huge potential for future development towards clinical applications.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Tendon, tendon healing, tendon mechanobiology
in
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
volume
231
issue
5
pages
9 pages
publisher
Mechanical Engineering Publications For The Institution Of Mechanical Engineers
external identifiers
  • scopus:85018734869
  • wos:000400198300003
ISSN
0954-4119
DOI
10.1177/0954411917692010
language
English
LU publication?
yes
id
e85581d9-08b6-4e6d-ae7f-126fd75ec2ac
date added to LUP
2017-06-09 08:11:56
date last changed
2018-01-07 12:06:53
@article{e85581d9-08b6-4e6d-ae7f-126fd75ec2ac,
  abstract     = {<p>Tendons are adapted to carry large, repeated loads and are clinically important for the maintenance of musculoskeletal health in an increasing, actively ageing population, as well as in elite athletes. Tendons are known to adapt to mechanical loading. Also, their healing and disease processes are highly sensitive to mechanical load. Computational modelling approaches developed to capture this mechanobiological adaptation in tendons and other tissues have successfully addressed many important scientific and clinical issues. The aim of this review is to identify techniques and approaches that could be further developed to address tendon-related problems. Biomechanical models are identified that capture the multi-level aspects of tendon mechanics. Continuum whole tendon models, both phenomenological and microstructurally motivated, are important to estimate forces during locomotion activities. Fibril-level microstructural models are documented that can use these estimated forces to detail local mechanical parameters relevant to cell mechanotransduction. Cell-level models able to predict the response to such parameters are also described. A selection of updatable mechanobiological models is presented. These use mechanical signals, often continuum tissue level, along with rules for tissue change and have been applied successfully in many tissues to predict in vivo and in vitro outcomes. Signals may include scalars derived from the stress or strain tensors, or in poroelasticity also fluid velocity, while adaptation may be represented by changes to elastic modulus, permeability, fibril density or orientation. So far, only simple analytical approaches have been applied to tendon mechanobiology. With the development of sophisticated computational mechanobiological models in parallel with reporting more quantitative data from in vivo or clinical mechanobiological studies, for example, appropriate imaging, biochemical and histological data, this field offers huge potential for future development towards clinical applications.</p>},
  author       = {Thompson, Mark S. and Bajuri, M. Nazri and Khayyeri, Hanifeh and Isaksson, Hanna},
  issn         = {0954-4119},
  keyword      = {Tendon,tendon healing,tendon mechanobiology},
  language     = {eng},
  month        = {05},
  number       = {5},
  pages        = {369--377},
  publisher    = {Mechanical Engineering Publications For The Institution Of Mechanical Engineers},
  series       = {Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine},
  title        = {Mechanobiological modelling of tendons : Review and future opportunities},
  url          = {http://dx.doi.org/10.1177/0954411917692010},
  volume       = {231},
  year         = {2017},
}