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A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model

This paper aims to construct a general framework of coupling tumor–bone remodeling processes in order to produce plausible outcomes of the effects of tumors on the number of osteoclasts, osteoblasts, and the frequency of the bone turnover cycle. In this document, Komarova’s model has been extended t...

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Autores principales: Ramtani, Salah, Sánchez, Juan Felipe, Boucetta, Abdelkader, Kraft, Reuben, Vaca-González, Juan Jairo, Garzón-Alvarado, Diego A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167202/
https://www.ncbi.nlm.nih.gov/pubmed/36922421
http://dx.doi.org/10.1007/s10237-023-01689-3
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author Ramtani, Salah
Sánchez, Juan Felipe
Boucetta, Abdelkader
Kraft, Reuben
Vaca-González, Juan Jairo
Garzón-Alvarado, Diego A.
author_facet Ramtani, Salah
Sánchez, Juan Felipe
Boucetta, Abdelkader
Kraft, Reuben
Vaca-González, Juan Jairo
Garzón-Alvarado, Diego A.
author_sort Ramtani, Salah
collection PubMed
description This paper aims to construct a general framework of coupling tumor–bone remodeling processes in order to produce plausible outcomes of the effects of tumors on the number of osteoclasts, osteoblasts, and the frequency of the bone turnover cycle. In this document, Komarova’s model has been extended to include the effect of tumors on the bone remodeling processes. Thus, we explored three alternatives for coupling tumor presence into Komarova’s model: first, using a “damage” parameter that depends on the tumor cell concentration. A second model follows the original structure of Komarova, including the tumor presence in those equations powered up to a new parameter, called the paracrine effect of the tumor on osteoclasts and osteoblasts; the last model is replicated from Ayati and collaborators in which the impact of the tumor is included into the paracrine parameters. Through the models, we studied their stability and considered some examples that can reproduce the tumor effects seen in clinic and experimentally. Therefore, this paper has three parts: the exposition of the three models, the results and discussion (where we explore some aspects and examples of the solution of the models), and the conclusion.
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spelling pubmed-101672022023-05-10 A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model Ramtani, Salah Sánchez, Juan Felipe Boucetta, Abdelkader Kraft, Reuben Vaca-González, Juan Jairo Garzón-Alvarado, Diego A. Biomech Model Mechanobiol Original Paper This paper aims to construct a general framework of coupling tumor–bone remodeling processes in order to produce plausible outcomes of the effects of tumors on the number of osteoclasts, osteoblasts, and the frequency of the bone turnover cycle. In this document, Komarova’s model has been extended to include the effect of tumors on the bone remodeling processes. Thus, we explored three alternatives for coupling tumor presence into Komarova’s model: first, using a “damage” parameter that depends on the tumor cell concentration. A second model follows the original structure of Komarova, including the tumor presence in those equations powered up to a new parameter, called the paracrine effect of the tumor on osteoclasts and osteoblasts; the last model is replicated from Ayati and collaborators in which the impact of the tumor is included into the paracrine parameters. Through the models, we studied their stability and considered some examples that can reproduce the tumor effects seen in clinic and experimentally. Therefore, this paper has three parts: the exposition of the three models, the results and discussion (where we explore some aspects and examples of the solution of the models), and the conclusion. Springer Berlin Heidelberg 2023-03-15 2023 /pmc/articles/PMC10167202/ /pubmed/36922421 http://dx.doi.org/10.1007/s10237-023-01689-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Ramtani, Salah
Sánchez, Juan Felipe
Boucetta, Abdelkader
Kraft, Reuben
Vaca-González, Juan Jairo
Garzón-Alvarado, Diego A.
A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title_full A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title_fullStr A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title_full_unstemmed A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title_short A coupled mathematical model between bone remodeling and tumors: a study of different scenarios using Komarova’s model
title_sort coupled mathematical model between bone remodeling and tumors: a study of different scenarios using komarova’s model
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167202/
https://www.ncbi.nlm.nih.gov/pubmed/36922421
http://dx.doi.org/10.1007/s10237-023-01689-3
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