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Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures

Interconnecting pathways through porous tissue engineering scaffolds play a vital role in determining nutrient supply, cell invasion, and tissue ingrowth. However, the global use of the term “interconnectivity” often fails to describe the transport characteristics of these pathways, giving no clear...

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Autores principales: Ashworth, Jennifer C., Mehr, Marco, Buxton, Paul G., Best, Serena M., Cameron, Ruth E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870607/
https://www.ncbi.nlm.nih.gov/pubmed/26888449
http://dx.doi.org/10.1089/ten.tec.2015.0483
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author Ashworth, Jennifer C.
Mehr, Marco
Buxton, Paul G.
Best, Serena M.
Cameron, Ruth E.
author_facet Ashworth, Jennifer C.
Mehr, Marco
Buxton, Paul G.
Best, Serena M.
Cameron, Ruth E.
author_sort Ashworth, Jennifer C.
collection PubMed
description Interconnecting pathways through porous tissue engineering scaffolds play a vital role in determining nutrient supply, cell invasion, and tissue ingrowth. However, the global use of the term “interconnectivity” often fails to describe the transport characteristics of these pathways, giving no clear indication of their potential to support tissue synthesis. This article uses new experimental data to provide a critical analysis of reported methods for the description of scaffold transport pathways, ranging from qualitative image analysis to thorough structural parameterization using X-ray Micro-Computed Tomography. In the collagen scaffolds tested in this study, it was found that the proportion of pore space perceived to be accessible dramatically changed depending on the chosen method of analysis. Measurements of % interconnectivity as defined in this manner varied as a function of direction and connection size, and also showed a dependence on measurement length scale. As an alternative, a method for transport pathway parameterization was investigated, using percolation theory to calculate the diameter of the largest sphere that can travel to infinite distance through a scaffold in a specified direction. As proof of principle, this approach was used to investigate the invasion behavior of primary fibroblasts in response to independent changes in pore wall alignment and pore space accessibility, parameterized using the percolation diameter. The result was that both properties played a distinct role in determining fibroblast invasion efficiency. This example therefore demonstrates the potential of the percolation diameter as a method of transport pathway parameterization, to provide key structural criteria for application-based scaffold design.
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spelling pubmed-48706072016-05-25 Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures Ashworth, Jennifer C. Mehr, Marco Buxton, Paul G. Best, Serena M. Cameron, Ruth E. Tissue Eng Part C Methods Article Interconnecting pathways through porous tissue engineering scaffolds play a vital role in determining nutrient supply, cell invasion, and tissue ingrowth. However, the global use of the term “interconnectivity” often fails to describe the transport characteristics of these pathways, giving no clear indication of their potential to support tissue synthesis. This article uses new experimental data to provide a critical analysis of reported methods for the description of scaffold transport pathways, ranging from qualitative image analysis to thorough structural parameterization using X-ray Micro-Computed Tomography. In the collagen scaffolds tested in this study, it was found that the proportion of pore space perceived to be accessible dramatically changed depending on the chosen method of analysis. Measurements of % interconnectivity as defined in this manner varied as a function of direction and connection size, and also showed a dependence on measurement length scale. As an alternative, a method for transport pathway parameterization was investigated, using percolation theory to calculate the diameter of the largest sphere that can travel to infinite distance through a scaffold in a specified direction. As proof of principle, this approach was used to investigate the invasion behavior of primary fibroblasts in response to independent changes in pore wall alignment and pore space accessibility, parameterized using the percolation diameter. The result was that both properties played a distinct role in determining fibroblast invasion efficiency. This example therefore demonstrates the potential of the percolation diameter as a method of transport pathway parameterization, to provide key structural criteria for application-based scaffold design. Mary Ann Liebert, Inc. 2016-05-01 2016-03-21 /pmc/articles/PMC4870607/ /pubmed/26888449 http://dx.doi.org/10.1089/ten.tec.2015.0483 Text en © Jennifer C. Ashworth et al. 2016; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the orignial work is properly credited.
spellingShingle Article
Ashworth, Jennifer C.
Mehr, Marco
Buxton, Paul G.
Best, Serena M.
Cameron, Ruth E.
Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title_full Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title_fullStr Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title_full_unstemmed Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title_short Parameterizing the Transport Pathways for Cell Invasion in Complex Scaffold Architectures
title_sort parameterizing the transport pathways for cell invasion in complex scaffold architectures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870607/
https://www.ncbi.nlm.nih.gov/pubmed/26888449
http://dx.doi.org/10.1089/ten.tec.2015.0483
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