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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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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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0202079</identifier><identifier>PMID: 30148832</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Batch Cell Culture Techniques ; Bioengineering ; Biology and Life Sciences ; Bioreactors ; Biotechnology ; Cell culture ; Cell growth ; Cell migration ; Cell Proliferation ; Confluence ; Conservation ; Design ; Design modifications ; Finite element method ; Flow rates ; Flow velocity ; Gas permeable walls ; Growth ; Growth rate ; Health aspects ; Hypoxia ; Kinetics ; Lactic acid ; Lag phase ; Mathematical models ; Mathematics ; Mechanical engineering ; Mesenchymal Stem Cells - cytology ; Mesenchymal Stem Cells - metabolism ; Mesenchyme ; Metabolism ; Metabolites ; Models, Biological ; Nutrient concentrations ; Nutrients ; Oxygen ; Oxygen Consumption ; Packed beds ; Packing density ; Permeability ; Physical Sciences ; Physiology ; Pore size ; Reaction kinetics ; Reynolds number ; Stem cells ; Stress, Physiological ; Testing ; Tissue engineering</subject><ispartof>PloS one, 2018-08, Vol.13 (8), p.e0202079-e0202079</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Osiecki et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Osiecki, Michael J</au><au>McElwain, Sean D L</au><au>Lott, William B</au><au>Makinde, Oluwole Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-08-27</date><risdate>2018</risdate><volume>13</volume><issue>8</issue><spage>e0202079</spage><epage>e0202079</epage><pages>e0202079-e0202079</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30148832</pmid><doi>10.1371/journal.pone.0202079</doi><tpages>e0202079</tpages><orcidid>https://orcid.org/0000-0002-0199-6407</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Batch Cell Culture Techniques Bioengineering Biology and Life Sciences Bioreactors Biotechnology Cell culture Cell growth Cell migration Cell Proliferation Confluence Conservation Design Design modifications Finite element method Flow rates Flow velocity Gas permeable walls Growth Growth rate Health aspects Hypoxia Kinetics Lactic acid Lag phase Mathematical models Mathematics Mechanical engineering Mesenchymal Stem Cells - cytology Mesenchymal Stem Cells - metabolism Mesenchyme Metabolism Metabolites Models, Biological Nutrient concentrations Nutrients Oxygen Oxygen Consumption Packed beds Packing density Permeability Physical Sciences Physiology Pore size Reaction kinetics Reynolds number Stem cells Stress, Physiological Testing Tissue engineering |
title | Modelling mesenchymal stromal cell growth in a packed bed bioreactor with a gas permeable wall |
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