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A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading

Feihu Zhao Orcid Logo, Ted J. Vaughan, Myles J. Mc Garrigle, Laoise M. McNamara

Computers in Biology and Medicine, Volume: 89, Pages: 181 - 189

Swansea University Author: Feihu Zhao Orcid Logo

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DOI (Published version): 10.1016/j.compbiomed.2017.08.003

Abstract

Tissue formation within tissue engineering (TE) scaffolds is preceded by growth of the cells throughout the scaffold volume and attachment of cells to the scaffold substrate. It is known that mechanical stimulation, in the form of fluid perfusion or mechanical strain, enhances cell differentiation a...

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Published in: Computers in Biology and Medicine
ISSN: 0010-4825
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa51685
first_indexed 2019-09-04T20:46:37Z
last_indexed 2019-10-11T14:23:31Z
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spelling 2019-10-11T11:28:54.2221352 v2 51685 2019-09-04 A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading 1c6e79b6edd08c88a8d17a241cd78630 0000-0003-0515-6808 Feihu Zhao Feihu Zhao true false 2019-09-04 EAAS Tissue formation within tissue engineering (TE) scaffolds is preceded by growth of the cells throughout the scaffold volume and attachment of cells to the scaffold substrate. It is known that mechanical stimulation, in the form of fluid perfusion or mechanical strain, enhances cell differentiation and overall tissue formation. However, due to the complex multi-physics environment of cells within TE scaffolds, cell transport under mechanical stimulation is not fully understood. Therefore, in this study, we have developed a coupled multiphysics model to predict cell density distribution in a TE scaffold. In this model, cell transport is modelled as a thermal conduction process, which is driven by the pore fluid pressure under applied loading. As a case study, the model is investigated to predict the cell density patterns of pre-osteoblasts MC3T3-e1 cells under a range of different loading regimes, to obtain an understanding of desirable mechanical stimulation that will enhance cell density distribution within TE scaffolds. The results of this study have demonstrated that fluid perfusion can result in a higher cell density in the scaffold region closed to the outlet, while cell density distribution under mechanical compression was similar with static condition. More importantly, the study provides a novel computational approach to predict cell distribution in TE scaffolds under mechanical loading. Journal Article Computers in Biology and Medicine 89 181 189 0010-4825 Coupled thermal-pore pressure, Biphasic poroelasticity, Cell transport, Mechanical stimulation 1 10 2017 2017-10-01 10.1016/j.compbiomed.2017.08.003 COLLEGE NANME Engineering and Applied Sciences School COLLEGE CODE EAAS Swansea University 2019-10-11T11:28:54.2221352 2019-09-04T15:40:55.7532561 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Feihu Zhao 0000-0003-0515-6808 1 Ted J. Vaughan 2 Myles J. Mc Garrigle 3 Laoise M. McNamara 4
title A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
spellingShingle A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
Feihu Zhao
title_short A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
title_full A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
title_fullStr A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
title_full_unstemmed A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
title_sort A coupled diffusion-fluid pressure model to predict cell density distribution for cells encapsulated in a porous hydrogel scaffold under mechanical loading
author_id_str_mv 1c6e79b6edd08c88a8d17a241cd78630
author_id_fullname_str_mv 1c6e79b6edd08c88a8d17a241cd78630_***_Feihu Zhao
author Feihu Zhao
author2 Feihu Zhao
Ted J. Vaughan
Myles J. Mc Garrigle
Laoise M. McNamara
format Journal article
container_title Computers in Biology and Medicine
container_volume 89
container_start_page 181
publishDate 2017
institution Swansea University
issn 0010-4825
doi_str_mv 10.1016/j.compbiomed.2017.08.003
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 0
active_str 0
description Tissue formation within tissue engineering (TE) scaffolds is preceded by growth of the cells throughout the scaffold volume and attachment of cells to the scaffold substrate. It is known that mechanical stimulation, in the form of fluid perfusion or mechanical strain, enhances cell differentiation and overall tissue formation. However, due to the complex multi-physics environment of cells within TE scaffolds, cell transport under mechanical stimulation is not fully understood. Therefore, in this study, we have developed a coupled multiphysics model to predict cell density distribution in a TE scaffold. In this model, cell transport is modelled as a thermal conduction process, which is driven by the pore fluid pressure under applied loading. As a case study, the model is investigated to predict the cell density patterns of pre-osteoblasts MC3T3-e1 cells under a range of different loading regimes, to obtain an understanding of desirable mechanical stimulation that will enhance cell density distribution within TE scaffolds. The results of this study have demonstrated that fluid perfusion can result in a higher cell density in the scaffold region closed to the outlet, while cell density distribution under mechanical compression was similar with static condition. More importantly, the study provides a novel computational approach to predict cell distribution in TE scaffolds under mechanical loading.
published_date 2017-10-01T07:47:47Z
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score 11.364387

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