Advanced

Corroboration of mechanobiological simulations of tissue differentiation in an in vivo bone chamber using a lattice-modeling approach

Khayyeri, Hanifeh LU ; Checa, Sara; Tägil, Magnus LU and Prendergast, Patrick J. (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:
author
organization
publishing date
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
external identifiers
  • wos:000272101000018
  • scopus:72049130612
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
2010-01-13 11:08:47
date last changed
2017-05-21 03:36:56
@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},
  keyword      = {FE-model,lattice approach,bone chamber,mechanobiology,tissue differentiation},
  language     = {eng},
  number       = {12},
  pages        = {1659--1666},
  publisher    = {John Wiley & Sons},
  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},
  volume       = {27},
  year         = {2009},
}