Literature DB >> 17897712

Simulation of tissue differentiation in a scaffold as a function of porosity, Young's modulus and dissolution rate: application of mechanobiological models in tissue engineering.

Damien P Byrne1, Damien Lacroix, Josep A Planell, Daniel J Kelly, Patrick J Prendergast.   

Abstract

Numerous experimental studies have attempted to determine the optimal properties for a scaffold for use in bone tissue engineering but, as yet, no computational or theoretical approach has been developed that suggests how best to combine the various design parameters, e.g. scaffold porosity, Young's modulus, and dissolution rate. Previous research has shown that bone regeneration during fracture healing and osteochondral defect repair can be simulated using mechanoregulation algorithms based on computing strain and/or fluid flow in the regenerating tissue. In this paper a fully three-dimensional approach is used for computer simulation of tissue differentiation and bone regeneration in a regular scaffold as a function of porosity, Young's modulus, and dissolution rate--and this is done under both low and high loading conditions. The mechanoregulation algorithm employed determines tissue differentiation both in terms of the prevailing biophysical stimulus and number of precursor cells, where cell number is computed based on a three-dimensional random-walk approach. The simulations predict that all three design variables have a critical effect on the amount of bone regenerated, but not in an intuitive way: in a low load environment, a higher porosity and higher stiffness but a medium dissolution rate gives the greatest amount of bone whereas in a high load environment the dissolution rate should be lower otherwise the scaffold will collapse--at lower initial porosities however, higher dissolution rates can be sustained. Besides showing that scaffolds may be optimised to suit the site-specific loading requirements, the results open up a new approach for computational simulations in tissue engineering.

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Year:  2007        PMID: 17897712     DOI: 10.1016/j.biomaterials.2007.09.003

Source DB:  PubMed          Journal:  Biomaterials        ISSN: 0142-9612            Impact factor:   12.479


  57 in total

1.  Simulation of cell seeding within a three-dimensional porous scaffold: a fluid-particle analysis.

Authors:  Andy L Olivares; Damien Lacroix
Journal:  Tissue Eng Part C Methods       Date:  2012-04-02       Impact factor: 3.056

2.  The effect of topography on differentiation fates of matrigel-coated mouse embryonic stem cells cultured on PLGA nanofibrous scaffolds.

Authors:  Mohammad Massumi; Mozhgan Abasi; Hamideh Babaloo; Panieh Terraf; Mojtaba Safi; Mahdi Saeed; Jalal Barzin; Mojgan Zandi; Masoud Soleimani
Journal:  Tissue Eng Part A       Date:  2011-12-14       Impact factor: 3.845

3.  "May the force be with you": 14th Samuel Haughton lecture.

Authors:  P J Prendergast
Journal:  Ir J Med Sci       Date:  2008-07-19       Impact factor: 1.568

4.  Tissue differentiation in an in vivo bioreactor: in silico investigations of scaffold stiffness.

Authors:  Hanifeh Khayyeri; Sara Checa; Magnus Tägil; Fergal J O'Brien; Patrick J Prendergast
Journal:  J Mater Sci Mater Med       Date:  2010-08       Impact factor: 3.896

5.  The interplay between tissue growth and scaffold degradation in engineered tissue constructs.

Authors:  R D O'Dea; J M Osborne; A J El Haj; H M Byrne; S L Waters
Journal:  J Math Biol       Date:  2012-09-18       Impact factor: 2.259

Review 6.  Bone tissue engineering: recent advances and challenges.

Authors:  Ami R Amini; Cato T Laurencin; Syam P Nukavarapu
Journal:  Crit Rev Biomed Eng       Date:  2012

Review 7.  Regenerative orthopaedics: in vitro, in vivo...in silico.

Authors:  Liesbet Geris
Journal:  Int Orthop       Date:  2014-07-02       Impact factor: 3.075

8.  Biomechanical evaluation of porous bioactive ceramics after implantation: micro CT-based three-dimensional finite element analysis.

Authors:  Li-Mei Ren; Takaaki Arahira; Mitsugu Todo; Hideki Yoshikawa; Akira Myoui
Journal:  J Mater Sci Mater Med       Date:  2011-11-23       Impact factor: 3.896

9.  Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents.

Authors:  C J Boyle; A B Lennon; M Early; D J Kelly; C Lally; P J Prendergast
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-06-28       Impact factor: 4.226

Review 10.  Biomechanical forces in the skeleton and their relevance to bone metastasis: biology and engineering considerations.

Authors:  Maureen E Lynch; Claudia Fischbach
Journal:  Adv Drug Deliv Rev       Date:  2014-08-29       Impact factor: 15.470

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