Literature DB >> 22901065

Towards a new spatial representation of bone remodeling.

Jason M Graham1, Bruce P Ayati, Prem S Ramakrishnan, James A Martin.   

Abstract

Irregular bone remodeling is associated with a number of bone diseases such as osteoporosis and multiple myeloma. Computational and mathematical modeling can aid in therapy and treatment as well as understanding fundamental biology. Different approaches to modeling give insight into different aspects of a phenomena so it is useful to have an arsenal of various computational and mathematical models. Here we develop a mathematical representation of bone remodeling that can effectively describe many aspects of the complicated geometries and spatial behavior observed. There is a sharp interface between bone and marrow regions. Also the surface of bone moves in and out, i.e. in the normal direction, due to remodeling. Based on these observations we employ the use of a level-set function to represent the spatial behavior of remodeling. We elaborate on a temporal model for osteoclast and osteoblast population dynamics to determine the change in bone mass which influences how the interface between bone and marrow changes. We exhibit simulations based on our computational model that show the motion of the interface between bone and marrow as a consequence of bone remodeling. The simulations show that it is possible to capture spatial behavior of bone remodeling in complicated geometries as they occur in vitro and in vivo. By employing the level set approach it is possible to develop computational and mathematical representations of the spatial behavior of bone remodeling. By including in this formalism further details, such as more complex cytokine interactions and accurate parameter values, it is possible to obtain simulations of phenomena related to bone remodeling with spatial behavior much as in vitro and in vivo. This makes it possible to perform in silica experiments more closely resembling experimental observations.

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Year:  2012        PMID: 22901065      PMCID: PMC3708700          DOI: 10.3934/mbe.2012.9.281

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  18 in total

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Authors:  L G Raisz
Journal:  Clin Chem       Date:  1999-08       Impact factor: 8.327

2.  Mathematical model of paracrine interactions between osteoclasts and osteoblasts predicts anabolic action of parathyroid hormone on bone.

Authors:  Svetlana V Komarova
Journal:  Endocrinology       Date:  2005-04-28       Impact factor: 4.736

3.  A novel mathematical model identifies potential factors regulating bone apposition.

Authors:  M J Martin; J C Buckland-Wright
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Review 4.  Biomechanical and molecular regulation of bone remodeling.

Authors:  Alexander G Robling; Alesha B Castillo; Charles H Turner
Journal:  Annu Rev Biomed Eng       Date:  2006       Impact factor: 9.590

5.  Mathematical model predicts a critical role for osteoclast autocrine regulation in the control of bone remodeling.

Authors:  Svetlana V Komarova; Robert J Smith; S Jeffrey Dixon; Stephen M Sims; Lindi M Wahl
Journal:  Bone       Date:  2003-08       Impact factor: 4.398

6.  Mathematical modeling of fracture healing in mice: comparison between experimental data and numerical simulation results.

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Journal:  Med Biol Eng Comput       Date:  2006-03-22       Impact factor: 2.602

Review 7.  Osteonal and hemi-osteonal remodeling: the spatial and temporal framework for signal traffic in adult human bone.

Authors:  A M Parfitt
Journal:  J Cell Biochem       Date:  1994-07       Impact factor: 4.429

8.  Angiogenesis in bone fracture healing: a bioregulatory model.

Authors:  Liesbet Geris; Alf Gerisch; Jos Vander Sloten; Rüdiger Weiner; Hans Van Oosterwyck
Journal:  J Theor Biol       Date:  2007-11-19       Impact factor: 2.691

9.  Sensitivity analysis of a novel mathematical model identifies factors determining bone resorption rates.

Authors:  M J Martin; J C Buckland-Wright
Journal:  Bone       Date:  2004-10       Impact factor: 4.398

10.  Complex dynamics of osteoclast formation and death in long-term cultures.

Authors:  Timur Akchurin; Tayeb Aissiou; Naomi Kemeny; Erin Prosk; Nilima Nigam; Svetlana V Komarova
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

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  5 in total

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Journal:  J Theor Biol       Date:  2017-01-18       Impact factor: 2.691

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Journal:  J Math Biol       Date:  2018-08-21       Impact factor: 2.259

3.  A new method to monitor bone geometry changes at different spatial scales in the longitudinal in vivo μCT studies of mice bones.

Authors:  Yang Zhang; Enrico Dall'Ara; Marco Viceconti; Visakan Kadirkamanathan
Journal:  PLoS One       Date:  2019-07-22       Impact factor: 3.240

4.  Cortical Thickness Adaptive Response to Mechanical Loading Depends on Periosteal Position and Varies Linearly With Loading Magnitude.

Authors:  Corey J Miller; Silvia Trichilo; Edmund Pickering; Saulo Martelli; Peter Delisser; Lee B Meakin; Peter Pivonka
Journal:  Front Bioeng Biotechnol       Date:  2021-06-18

5.  The role of osteocytes in targeted bone remodeling: a mathematical model.

Authors:  Jason M Graham; Bruce P Ayati; Sarah A Holstein; James A Martin
Journal:  PLoS One       Date:  2013-05-22       Impact factor: 3.240

  5 in total

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