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Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization
Stable and extensive blood vessel networks are required for cell function and survival in engineered tissues. A number of different strategies are currently being investigated to enhance biomaterial vascularization with screening primarily through extensive in vitro and in vivo experiments. In this...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144865/ https://www.ncbi.nlm.nih.gov/pubmed/27965914 http://dx.doi.org/10.1089/biores.2016.0039 |
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author | Bayrak, Elif Seyma Akar, Banu Somo, Sami I. Lu, Chenlin Xiao, Nan Brey, Eric M. Cinar, Ali |
author_facet | Bayrak, Elif Seyma Akar, Banu Somo, Sami I. Lu, Chenlin Xiao, Nan Brey, Eric M. Cinar, Ali |
author_sort | Bayrak, Elif Seyma |
collection | PubMed |
description | Stable and extensive blood vessel networks are required for cell function and survival in engineered tissues. A number of different strategies are currently being investigated to enhance biomaterial vascularization with screening primarily through extensive in vitro and in vivo experiments. In this article, we describe an agent-based model (ABM) developed to evaluate various strategies in silico, including design of optimal biomaterial structure, delivery of angiogenic factors, and application of prevascularized biomaterials. The model predictions are evaluated using experimental data. The ABM developed provides insight into different strategies currently applied for scaffold vascularization and will enable researchers to rapidly screen new hypotheses and explore alternative strategies for enhancing vascularization. |
format | Online Article Text |
id | pubmed-5144865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51448652016-12-13 Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization Bayrak, Elif Seyma Akar, Banu Somo, Sami I. Lu, Chenlin Xiao, Nan Brey, Eric M. Cinar, Ali Biores Open Access Original Research Article Stable and extensive blood vessel networks are required for cell function and survival in engineered tissues. A number of different strategies are currently being investigated to enhance biomaterial vascularization with screening primarily through extensive in vitro and in vivo experiments. In this article, we describe an agent-based model (ABM) developed to evaluate various strategies in silico, including design of optimal biomaterial structure, delivery of angiogenic factors, and application of prevascularized biomaterials. The model predictions are evaluated using experimental data. The ABM developed provides insight into different strategies currently applied for scaffold vascularization and will enable researchers to rapidly screen new hypotheses and explore alternative strategies for enhancing vascularization. Mary Ann Liebert, Inc. 2016-11-01 /pmc/articles/PMC5144865/ /pubmed/27965914 http://dx.doi.org/10.1089/biores.2016.0039 Text en © Elif Seyma Bayrak 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 original work is properly credited. |
spellingShingle | Original Research Article Bayrak, Elif Seyma Akar, Banu Somo, Sami I. Lu, Chenlin Xiao, Nan Brey, Eric M. Cinar, Ali Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title | Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title_full | Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title_fullStr | Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title_full_unstemmed | Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title_short | Computational Model-Based Analysis of Strategies to Enhance Scaffold Vascularization |
title_sort | computational model-based analysis of strategies to enhance scaffold vascularization |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5144865/ https://www.ncbi.nlm.nih.gov/pubmed/27965914 http://dx.doi.org/10.1089/biores.2016.0039 |
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