Literature DB >> 15047006

Numerical simulation of tissue differentiation around loaded titanium implants in a bone chamber.

L Geris1, A Andreykiv, H Van Oosterwyck, J Vander Sloten, F van Keulen, J Duyck, I Naert.   

Abstract

The application of a bone chamber provides a controlled environment for the study of tissue differentiation and bone adaptation. The influence of different mechanical and biological factors on the processes can be measured experimentally. The goal of the present work is to numerically model the process of peri-implant tissue differentiation inside a bone chamber, placed in a rabbit tibia. 2D and 3D models were created of the tissue inside the chamber. A number of loading conditions, corresponding to those applied in the rabbit experiments, were simulated. Fluid velocity and maximal distortional strain were considered as the stimuli that guide the differentiation process of mesenchymal cells into fibroblasts, chondrocytes and osteoblasts. Mesenchymal cells migrate through the chamber from the perforations in the chamber wall. This process is modelled by the diffusion equation. The predicted tissue phenotypes as well as the process of tissue ingrowth into the chamber show a qualitative agreement with the results of the rabbit experiments. Due to the limited number of animal experiments (four) and the observed inter-animal differences, no quantitative comparison could be made. These results however are a strong indication of the feasibility of the implemented theory to predict the mechano-regulation of the differentiation process inside the bone chamber.

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Year:  2004        PMID: 15047006     DOI: 10.1016/j.jbiomech.2003.09.026

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  7 in total

Review 1.  A review of computational models of bone fracture healing.

Authors:  Monan Wang; Ning Yang; Xinyu Wang
Journal:  Med Biol Eng Comput       Date:  2017-08-08       Impact factor: 2.602

Review 2.  Finite element method (FEM), mechanobiology and biomimetic scaffolds in bone tissue engineering.

Authors:  A Boccaccio; A Ballini; C Pappalettere; D Tullo; S Cantore; A Desiate
Journal:  Int J Biol Sci       Date:  2011-01-26       Impact factor: 6.580

Review 3.  Mechanical regulation of bone regeneration: theories, models, and experiments.

Authors:  Duncan Colin Betts; Ralph Müller
Journal:  Front Endocrinol (Lausanne)       Date:  2014-12-10       Impact factor: 5.555

Review 4.  In silico bone mechanobiology: modeling a multifaceted biological system.

Authors:  Mario Giorgi; Stefaan W Verbruggen; Damien Lacroix
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2016-09-07

5.  Morse taper performance: A finite element analysis study.

Authors:  Gustavo Passarelli Petris; João Paulo De Carli; Luiz Renato Paranhos; Pâmela Letícia Santos; Paula Benetti; Marcio Walber; Eduardo Sandini Linden; Maria Salete Sandini Linden
Journal:  Clinics (Sao Paulo)       Date:  2019-03-25       Impact factor: 2.365

6.  Identification of mechanosensitive genes during embryonic bone formation.

Authors:  Niamh C Nowlan; Patrick J Prendergast; Paula Murphy
Journal:  PLoS Comput Biol       Date:  2008-12-26       Impact factor: 4.475

7.  Three-dimensional computational model simulating the fracture healing process with both biphasic poroelastic finite element analysis and fuzzy logic control.

Authors:  Monan Wang; Ning Yang
Journal:  Sci Rep       Date:  2018-04-30       Impact factor: 4.379

  7 in total

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