Literature DB >> 18353374

A mechano-regulatory bone-healing model incorporating cell-phenotype specific activity.

Hanna Isaksson1, Corrinus C van Donkelaar, Rik Huiskes, Keita Ito.   

Abstract

Phenomenological computational models of tissue regeneration and bone healing have been only partially successful in predicting experimental observations. This may be a result of simplistic modeling of cellular activity. Furthermore, phenomenological models are limited when considering the effects of combined physical and biological interventions. In this study, a new model of cell and tissue differentiation, using a more mechanistic approach, is presented and applied to fracture repair. The model directly couples cellular mechanisms to mechanical stimulation during bone healing and is based on the belief that the cells act as transducers during tissue regeneration. In the model, the cells within the matrix proliferate, differentiate, migrate, and produce extracellular matrix, all at cell-phenotype specific rates, based on the mechanical stimulation they experience. The model is assembled from coupled partial differentiation equations, which are solved using a newly developed finite element formulation. The evolution of four cell types, i.e. mesenchymal stem cells, fibroblasts, chondrocytes and osteoblasts, and the production of extracellular matrices of fibrous tissue, cartilage and bone are calculated. The material properties of the tissues are iteratively updated based on actual amounts of extracellular matrix in material elements at progressive time points. A two-dimensional finite element model of a long bone osteotomy was used to evaluate the model's potential. The additional value of the presented model and the importance of including cell-phenotype specific activities when modeling tissue differentiation and bone healing, were demonstrated by comparing the predictions with phenomenological models. The model's capacity was established by showing that it can correctly predict several aspects of bone healing, including cell and tissue distributions during normal fracture healing. Furthermore, it was able to predict experimentally established alterations due to excessive mechanical stimulation, periosteal stripping and impaired effects of cartilage remodeling.

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Year:  2008        PMID: 18353374     DOI: 10.1016/j.jtbi.2008.01.030

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  22 in total

1.  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

2.  The connection between cellular mechanoregulation and tissue patterns during bone healing.

Authors:  Felix Repp; Andreas Vetter; Georg N Duda; Richard Weinkamer
Journal:  Med Biol Eng Comput       Date:  2015-04-11       Impact factor: 2.602

3.  Mechanobiological simulations of peri-acetabular bone ingrowth: a comparative analysis of cell-phenotype specific and phenomenological algorithms.

Authors:  Kaushik Mukherjee; Sanjay Gupta
Journal:  Med Biol Eng Comput       Date:  2016-06-02       Impact factor: 2.602

Review 4.  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

5.  Elastic Modulus of Woven Bone: Correlation with Evolution of Porosity and X-ray Greyscale.

Authors:  J Mora-Macías; P García-Florencio; A Pajares; P Miranda; J Domínguez; E Reina-Romo
Journal:  Ann Biomed Eng       Date:  2020-05-09       Impact factor: 3.934

6.  A model of tissue differentiation and bone remodelling in fractured vertebrae treated with minimally invasive percutaneous fixation.

Authors:  A Boccaccio; D J Kelly; C Pappalettere
Journal:  Med Biol Eng Comput       Date:  2012-06-30       Impact factor: 2.602

Review 7.  The natural and engineered 3D microenvironment as a regulatory cue during stem cell fate determination.

Authors:  Amanda W Lund; Bülent Yener; Jan P Stegemann; George E Plopper
Journal:  Tissue Eng Part B Rev       Date:  2009-09       Impact factor: 6.389

8.  Modeling vascularized bone regeneration within a porous biodegradable CaP scaffold loaded with growth factors.

Authors:  Xiaoqiang Sun; Yunqing Kang; Jiguang Bao; Yuanyuan Zhang; Yunzhi Yang; Xiaobo Zhou
Journal:  Biomaterials       Date:  2013-04-06       Impact factor: 12.479

Review 9.  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

10.  Bone morphogenetic protein 2-induced cellular chemotaxis drives tissue patterning during critical-sized bone defect healing: an in silico study.

Authors:  Edoardo Borgiani; Georg N Duda; Bettina M Willie; Sara Checa
Journal:  Biomech Model Mechanobiol       Date:  2021-05-28
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