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Mathematical model for bone mineralization

Defective bone mineralization has serious clinical manifestations, including deformities and fractures, but the regulation of this extracellular process is not fully understood. We have developed a mathematical model consisting of ordinary differential equations that describe collagen maturation, pr...

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Autores principales: Komarova, Svetlana V., Safranek, Lee, Gopalakrishnan, Jay, Ou, Miao-jung Yvonne, McKee, Marc D., Murshed, Monzur, Rauch, Frank, Zuhr, Erica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544393/
https://www.ncbi.nlm.nih.gov/pubmed/26347868
http://dx.doi.org/10.3389/fcell.2015.00051
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author Komarova, Svetlana V.
Safranek, Lee
Gopalakrishnan, Jay
Ou, Miao-jung Yvonne
McKee, Marc D.
Murshed, Monzur
Rauch, Frank
Zuhr, Erica
author_facet Komarova, Svetlana V.
Safranek, Lee
Gopalakrishnan, Jay
Ou, Miao-jung Yvonne
McKee, Marc D.
Murshed, Monzur
Rauch, Frank
Zuhr, Erica
author_sort Komarova, Svetlana V.
collection PubMed
description Defective bone mineralization has serious clinical manifestations, including deformities and fractures, but the regulation of this extracellular process is not fully understood. We have developed a mathematical model consisting of ordinary differential equations that describe collagen maturation, production and degradation of inhibitors, and mineral nucleation and growth. We examined the roles of individual processes in generating normal and abnormal mineralization patterns characterized using two outcome measures: mineralization lag time and degree of mineralization. Model parameters describing the formation of hydroxyapatite mineral on the nucleating centers most potently affected the degree of mineralization, while the parameters describing inhibitor homeostasis most effectively changed the mineralization lag time. Of interest, a parameter describing the rate of matrix maturation emerged as being capable of counter-intuitively increasing both the mineralization lag time and the degree of mineralization. We validated the accuracy of model predictions using known diseases of bone mineralization such as osteogenesis imperfecta and X-linked hypophosphatemia. The model successfully describes the highly nonlinear mineralization dynamics, which includes an initial lag phase when osteoid is present but no mineralization is evident, then fast primary mineralization, followed by secondary mineralization characterized by a continuous slow increase in bone mineral content. The developed model can potentially predict the function for a mutated protein based on the histology of pathologic bone samples from mineralization disorders of unknown etiology.
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spelling pubmed-45443932015-09-07 Mathematical model for bone mineralization Komarova, Svetlana V. Safranek, Lee Gopalakrishnan, Jay Ou, Miao-jung Yvonne McKee, Marc D. Murshed, Monzur Rauch, Frank Zuhr, Erica Front Cell Dev Biol Cell and Developmental Biology Defective bone mineralization has serious clinical manifestations, including deformities and fractures, but the regulation of this extracellular process is not fully understood. We have developed a mathematical model consisting of ordinary differential equations that describe collagen maturation, production and degradation of inhibitors, and mineral nucleation and growth. We examined the roles of individual processes in generating normal and abnormal mineralization patterns characterized using two outcome measures: mineralization lag time and degree of mineralization. Model parameters describing the formation of hydroxyapatite mineral on the nucleating centers most potently affected the degree of mineralization, while the parameters describing inhibitor homeostasis most effectively changed the mineralization lag time. Of interest, a parameter describing the rate of matrix maturation emerged as being capable of counter-intuitively increasing both the mineralization lag time and the degree of mineralization. We validated the accuracy of model predictions using known diseases of bone mineralization such as osteogenesis imperfecta and X-linked hypophosphatemia. The model successfully describes the highly nonlinear mineralization dynamics, which includes an initial lag phase when osteoid is present but no mineralization is evident, then fast primary mineralization, followed by secondary mineralization characterized by a continuous slow increase in bone mineral content. The developed model can potentially predict the function for a mutated protein based on the histology of pathologic bone samples from mineralization disorders of unknown etiology. Frontiers Media S.A. 2015-08-21 /pmc/articles/PMC4544393/ /pubmed/26347868 http://dx.doi.org/10.3389/fcell.2015.00051 Text en Copyright © 2015 Komarova, Safranek, Gopalakrishnan, Ou, McKee, Murshed, Rauch and Zuhr. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cell and Developmental Biology
Komarova, Svetlana V.
Safranek, Lee
Gopalakrishnan, Jay
Ou, Miao-jung Yvonne
McKee, Marc D.
Murshed, Monzur
Rauch, Frank
Zuhr, Erica
Mathematical model for bone mineralization
title Mathematical model for bone mineralization
title_full Mathematical model for bone mineralization
title_fullStr Mathematical model for bone mineralization
title_full_unstemmed Mathematical model for bone mineralization
title_short Mathematical model for bone mineralization
title_sort mathematical model for bone mineralization
topic Cell and Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544393/
https://www.ncbi.nlm.nih.gov/pubmed/26347868
http://dx.doi.org/10.3389/fcell.2015.00051
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