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Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall

A mathematical model was developed for mesenchymal stromal cell (MSC) growth in a packed bed bioreactor that improves oxygen availability by allowing oxygen diffusion through a gas-permeable wall. The governing equations for oxygen, glucose and lactate, the inhibitory waste product, were developed a...

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Autores principales: Osiecki, Michael J., McElwain, Sean D. L., Lott, William B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110476/
https://www.ncbi.nlm.nih.gov/pubmed/30148832
http://dx.doi.org/10.1371/journal.pone.0202079
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author Osiecki, Michael J.
McElwain, Sean D. L.
Lott, William B.
author_facet Osiecki, Michael J.
McElwain, Sean D. L.
Lott, William B.
author_sort Osiecki, Michael J.
collection PubMed
description A mathematical model was developed for mesenchymal stromal cell (MSC) growth in a packed bed bioreactor that improves oxygen availability by allowing oxygen diffusion through a gas-permeable wall. The governing equations for oxygen, glucose and lactate, the inhibitory waste product, were developed assuming Michaelis-Menten kinetics, together with an equation for the medium flow based on Darcy’s Law. The conservation law for the cells includes the effects of inhibition as the cells reach confluence, nutrient and waste product concentrations, and the assumption that the cells can migrate on the scaffold. The equations were solved using the finite element package, COMSOL. Previous experimental results collected using a packed bed bioreactor with gas permeable walls to expand MSCs produced a lower cell yield than was obtained using a traditional cell culture flask. This mathematical model suggests that the main contributors to the observed low cell yield were a non-uniform initial cell seeding profile and a potential lag phase as cells recovered from the initial seeding procedure. Lactate build-up was predicted to have only a small effect at lower flow rates. Thus, the most important parameters to optimise cell expansion in the proliferation of MSCs in a bioreactor with gas permeable wall are the initial cell seeding protocol and the handling of the cells during the seeding process. The mathematical model was then used to identify and characterise potential enhancements to the bioreactor design, including incorporating a central gas permeable capillary to further enhance oxygen availability to the cells. Finally, to evaluate the issues and limitations that might be encountered scale-up of the bioreactor, the mathematical model was used to investigate modifications to the bioreactor design geometry and packing density.
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spelling pubmed-61104762018-09-17 Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall Osiecki, Michael J. McElwain, Sean D. L. Lott, William B. PLoS One Research Article A mathematical model was developed for mesenchymal stromal cell (MSC) growth in a packed bed bioreactor that improves oxygen availability by allowing oxygen diffusion through a gas-permeable wall. The governing equations for oxygen, glucose and lactate, the inhibitory waste product, were developed assuming Michaelis-Menten kinetics, together with an equation for the medium flow based on Darcy’s Law. The conservation law for the cells includes the effects of inhibition as the cells reach confluence, nutrient and waste product concentrations, and the assumption that the cells can migrate on the scaffold. The equations were solved using the finite element package, COMSOL. Previous experimental results collected using a packed bed bioreactor with gas permeable walls to expand MSCs produced a lower cell yield than was obtained using a traditional cell culture flask. This mathematical model suggests that the main contributors to the observed low cell yield were a non-uniform initial cell seeding profile and a potential lag phase as cells recovered from the initial seeding procedure. Lactate build-up was predicted to have only a small effect at lower flow rates. Thus, the most important parameters to optimise cell expansion in the proliferation of MSCs in a bioreactor with gas permeable wall are the initial cell seeding protocol and the handling of the cells during the seeding process. The mathematical model was then used to identify and characterise potential enhancements to the bioreactor design, including incorporating a central gas permeable capillary to further enhance oxygen availability to the cells. Finally, to evaluate the issues and limitations that might be encountered scale-up of the bioreactor, the mathematical model was used to investigate modifications to the bioreactor design geometry and packing density. Public Library of Science 2018-08-27 /pmc/articles/PMC6110476/ /pubmed/30148832 http://dx.doi.org/10.1371/journal.pone.0202079 Text en © 2018 Osiecki et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Osiecki, Michael J.
McElwain, Sean D. L.
Lott, William B.
Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title_full Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title_fullStr Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title_full_unstemmed Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title_short Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
title_sort modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6110476/
https://www.ncbi.nlm.nih.gov/pubmed/30148832
http://dx.doi.org/10.1371/journal.pone.0202079
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