Corroboration of mechanobiological simulations of tissue differentiation in an in vivo bone chamber using a lattice-modeling approach
(2009) In Journal of Orthopaedic Research 27(12). p.1659-1666- Abstract
- It is well established that the mechanical environment modulates tissue differentiation, and a number of mechanoregulatory theories for describing the process have been proposed. In this study, simulations of an in vivo bone chamber experiment were performed that allowed direct comparison with experimental data. A mechanoregulation theory for mesenchymal stem cell differentiation based on a combination of fluid flow and shear strain (computed using finite element analysis) was implemented to predict tissue differentiation inside mechanically controlled bone chambers inserted into rat tibae. To simulate cell activity, a lattice approach with stochastic cell migration, proliferation, and selected differentiation was adopted; because of its... (More)
- It is well established that the mechanical environment modulates tissue differentiation, and a number of mechanoregulatory theories for describing the process have been proposed. In this study, simulations of an in vivo bone chamber experiment were performed that allowed direct comparison with experimental data. A mechanoregulation theory for mesenchymal stem cell differentiation based on a combination of fluid flow and shear strain (computed using finite element analysis) was implemented to predict tissue differentiation inside mechanically controlled bone chambers inserted into rat tibae. To simulate cell activity, a lattice approach with stochastic cell migration, proliferation, and selected differentiation was adopted; because of its stochastic nature, each run of the simulation gave a somewhat different result. Simulations predicted the load-dependency of the tissue differentiation inside the chamber and a qualitative agreement with histological data; however, the full variability found between specimens in the experiment could not be predicted by the mechanoregulation algorithm. This result raises the question whether tissue differentiation predictions can be linked to genetic variability in animal populations. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1518254
- author
- Khayyeri, Hanifeh LU ; Checa, Sara ; Tägil, Magnus LU and Prendergast, Patrick J.
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- FE-model, lattice approach, bone chamber, mechanobiology, tissue differentiation
- in
- Journal of Orthopaedic Research
- volume
- 27
- issue
- 12
- pages
- 1659 - 1666
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- wos:000272101000018
- scopus:72049130612
- pmid:19514073
- ISSN
- 1554-527X
- DOI
- 10.1002/jor.20926
- language
- English
- LU publication?
- yes
- id
- a4302c8f-3ba7-4637-99d0-3ef57bdc81d2 (old id 1518254)
- date added to LUP
- 2016-04-01 12:02:37
- date last changed
- 2022-04-05 08:45:10
@article{a4302c8f-3ba7-4637-99d0-3ef57bdc81d2,
abstract = {{It is well established that the mechanical environment modulates tissue differentiation, and a number of mechanoregulatory theories for describing the process have been proposed. In this study, simulations of an in vivo bone chamber experiment were performed that allowed direct comparison with experimental data. A mechanoregulation theory for mesenchymal stem cell differentiation based on a combination of fluid flow and shear strain (computed using finite element analysis) was implemented to predict tissue differentiation inside mechanically controlled bone chambers inserted into rat tibae. To simulate cell activity, a lattice approach with stochastic cell migration, proliferation, and selected differentiation was adopted; because of its stochastic nature, each run of the simulation gave a somewhat different result. Simulations predicted the load-dependency of the tissue differentiation inside the chamber and a qualitative agreement with histological data; however, the full variability found between specimens in the experiment could not be predicted by the mechanoregulation algorithm. This result raises the question whether tissue differentiation predictions can be linked to genetic variability in animal populations.}},
author = {{Khayyeri, Hanifeh and Checa, Sara and Tägil, Magnus and Prendergast, Patrick J.}},
issn = {{1554-527X}},
keywords = {{FE-model; lattice approach; bone chamber; mechanobiology; tissue differentiation}},
language = {{eng}},
number = {{12}},
pages = {{1659--1666}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Journal of Orthopaedic Research}},
title = {{Corroboration of mechanobiological simulations of tissue differentiation in an in vivo bone chamber using a lattice-modeling approach}},
url = {{http://dx.doi.org/10.1002/jor.20926}},
doi = {{10.1002/jor.20926}},
volume = {{27}},
year = {{2009}},
}