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On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process

Over the last 30 years, numerous research groups have attempted to provide mathematical descriptions of the skin wound healing process. The development of theoretical models of the interlinked processes that underlie the healing mechanism has yielded considerable insight into aspects of this critica...

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Autores principales: Flegg, Jennifer A., Menon, Shakti N., Maini, Philip K., McElwain, D. L. Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588694/
https://www.ncbi.nlm.nih.gov/pubmed/26483695
http://dx.doi.org/10.3389/fphys.2015.00262
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author Flegg, Jennifer A.
Menon, Shakti N.
Maini, Philip K.
McElwain, D. L. Sean
author_facet Flegg, Jennifer A.
Menon, Shakti N.
Maini, Philip K.
McElwain, D. L. Sean
author_sort Flegg, Jennifer A.
collection PubMed
description Over the last 30 years, numerous research groups have attempted to provide mathematical descriptions of the skin wound healing process. The development of theoretical models of the interlinked processes that underlie the healing mechanism has yielded considerable insight into aspects of this critical phenomenon that remain difficult to investigate empirically. In particular, the mathematical modeling of angiogenesis, i.e., capillary sprout growth, has offered new paradigms for the understanding of this highly complex and crucial step in the healing pathway. With the recent advances in imaging and cell tracking, the time is now ripe for an appraisal of the utility and importance of mathematical modeling in wound healing angiogenesis research. The purpose of this review is to pedagogically elucidate the conceptual principles that have underpinned the development of mathematical descriptions of wound healing angiogenesis, specifically those that have utilized a continuum reaction-transport framework, and highlight the contribution that such models have made toward the advancement of research in this field. We aim to draw attention to the common assumptions made when developing models of this nature, thereby bringing into focus the advantages and limitations of this approach. A deeper integration of mathematical modeling techniques into the practice of wound healing angiogenesis research promises new perspectives for advancing our knowledge in this area. To this end we detail several open problems related to the understanding of wound healing angiogenesis, and outline how these issues could be addressed through closer cross-disciplinary collaboration.
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spelling pubmed-45886942015-10-19 On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process Flegg, Jennifer A. Menon, Shakti N. Maini, Philip K. McElwain, D. L. Sean Front Physiol Physiology Over the last 30 years, numerous research groups have attempted to provide mathematical descriptions of the skin wound healing process. The development of theoretical models of the interlinked processes that underlie the healing mechanism has yielded considerable insight into aspects of this critical phenomenon that remain difficult to investigate empirically. In particular, the mathematical modeling of angiogenesis, i.e., capillary sprout growth, has offered new paradigms for the understanding of this highly complex and crucial step in the healing pathway. With the recent advances in imaging and cell tracking, the time is now ripe for an appraisal of the utility and importance of mathematical modeling in wound healing angiogenesis research. The purpose of this review is to pedagogically elucidate the conceptual principles that have underpinned the development of mathematical descriptions of wound healing angiogenesis, specifically those that have utilized a continuum reaction-transport framework, and highlight the contribution that such models have made toward the advancement of research in this field. We aim to draw attention to the common assumptions made when developing models of this nature, thereby bringing into focus the advantages and limitations of this approach. A deeper integration of mathematical modeling techniques into the practice of wound healing angiogenesis research promises new perspectives for advancing our knowledge in this area. To this end we detail several open problems related to the understanding of wound healing angiogenesis, and outline how these issues could be addressed through closer cross-disciplinary collaboration. Frontiers Media S.A. 2015-09-30 /pmc/articles/PMC4588694/ /pubmed/26483695 http://dx.doi.org/10.3389/fphys.2015.00262 Text en Copyright © 2015 Flegg, Menon, Maini and McElwain. 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 Physiology
Flegg, Jennifer A.
Menon, Shakti N.
Maini, Philip K.
McElwain, D. L. Sean
On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title_full On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title_fullStr On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title_full_unstemmed On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title_short On the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
title_sort on the mathematical modeling of wound healing angiogenesis in skin as a reaction-transport process
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4588694/
https://www.ncbi.nlm.nih.gov/pubmed/26483695
http://dx.doi.org/10.3389/fphys.2015.00262
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