Literature DB >> 19380324

In silico biology of bone modelling and remodelling: regeneration.

L Geris1, J Vander Sloten, H Van Oosterwyck.   

Abstract

Bone regeneration is the process whereby bone is able to (scarlessly) repair itself from trauma, such as fractures or implant placement. Despite extensive experimental research, many of the mechanisms involved still remain to be elucidated. Over the last decade, many mathematical models have been established to investigate the regeneration process in silico. The first models considered only the influence of the mechanical environment as a regulator of the healing process. These models were followed by the development of bioregulatory models where mechanics was neglected and regeneration was regulated only by biological stimuli such as growth factors. The most recent mathematical models couple the influences of both biological and mechanical stimuli. Examples are given to illustrate the added value of mathematical regeneration research, specifically in the in silico design of treatment strategies for non-unions. Drawbacks of the current continuum-type models, together with possible solutions in extending the models towards other time and length scales are discussed. Finally, the demands for dedicated and more quantitative experimental research are presented.

Entities:  

Mesh:

Year:  2009        PMID: 19380324     DOI: 10.1098/rsta.2008.0293

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  17 in total

1.  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

Review 2.  Regenerative orthopaedics: in vitro, in vivo...in silico.

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

3.  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 4.  Role of mathematical modeling in bone fracture healing.

Authors:  Peter Pivonka; Colin R Dunstan
Journal:  Bonekey Rep       Date:  2012-11-14

5.  Time course of peri-implant bone regeneration around loaded and unloaded implants in a rat model.

Authors:  Shailly H Jariwala; Hwabok Wee; Evan P Roush; Tiffany L Whitcomb; Christopher Murter; Gery Kozlansky; Akhlesh Lakhtakia; Allen R Kunselman; Henry J Donahue; April D Armstrong; Gregory S Lewis
Journal:  J Orthop Res       Date:  2016-07-20       Impact factor: 3.494

6.  Occurrence and treatment of bone atrophic non-unions investigated by an integrative approach.

Authors:  Liesbet Geris; Anita A C Reed; Jos Vander Sloten; A Hamish R W Simpson; Hans Van Oosterwyck
Journal:  PLoS Comput Biol       Date:  2010-09-02       Impact factor: 4.475

Review 7.  Design, materials, and mechanobiology of biodegradable scaffolds for bone tissue engineering.

Authors:  Marco A Velasco; Carlos A Narváez-Tovar; Diego A Garzón-Alvarado
Journal:  Biomed Res Int       Date:  2015-03-26       Impact factor: 3.411

8.  Size does matter: an integrative in vivo-in silico approach for the treatment of critical size bone defects.

Authors:  Aurélie Carlier; Nick van Gastel; Liesbet Geris; Geert Carmeliet; Hans Van Oosterwyck
Journal:  PLoS Comput Biol       Date:  2014-11-06       Impact factor: 4.475

9.  Modelling osteomyelitis.

Authors:  Pietro Liò; Nicola Paoletti; Mohammad Ali Moni; Kathryn Atwell; Emanuela Merelli; Marco Viceconti
Journal:  BMC Bioinformatics       Date:  2012-09-07       Impact factor: 3.169

10.  MOSAIC: a multiscale model of osteogenesis and sprouting angiogenesis with lateral inhibition of endothelial cells.

Authors:  Aurélie Carlier; Liesbet Geris; Katie Bentley; Geert Carmeliet; Peter Carmeliet; Hans Van Oosterwyck
Journal:  PLoS Comput Biol       Date:  2012-10-11       Impact factor: 4.475

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