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Population balance modelling captures host cell protein dynamics in CHO cell cultures

Monoclonal antibodies (mAbs) have been extensively studied for their wide therapeutic and research applications. Increases in mAb titre has been achieved mainly by cell culture media/feed improvement and cell line engineering to increase cell density and specific mAb productivity. However, this impr...

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Autores principales: Alhuthali, Sakhr, Kontoravdi, Cleo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959726/
https://www.ncbi.nlm.nih.gov/pubmed/35320326
http://dx.doi.org/10.1371/journal.pone.0265886
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author Alhuthali, Sakhr
Kontoravdi, Cleo
author_facet Alhuthali, Sakhr
Kontoravdi, Cleo
author_sort Alhuthali, Sakhr
collection PubMed
description Monoclonal antibodies (mAbs) have been extensively studied for their wide therapeutic and research applications. Increases in mAb titre has been achieved mainly by cell culture media/feed improvement and cell line engineering to increase cell density and specific mAb productivity. However, this improvement has shifted the bottleneck to downstream purification steps. The higher accumulation of the main cell-derived impurities, host cell proteins (HCPs), in the supernatant can negatively affect product integrity and immunogenicity in addition to increasing the cost of capture and polishing steps. Mathematical modelling of bioprocess dynamics is a valuable tool to improve industrial production at fast rate and low cost. Herein, a single stage volume-based population balance model (PBM) has been built to capture Chinese hamster ovary (CHO) cell behaviour in fed-batch bioreactors. Using cell volume as the internal variable, the model captures the dynamics of mAb and HCP accumulation extracellularly under physiological and mild hypothermic culture conditions. Model-based analysis and orthogonal measurements of lactate dehydrogenase activity and double-stranded DNA concentration in the supernatant show that a significant proportion of HCPs found in the extracellular matrix is secreted by viable cells. The PBM then served as a platform for generating operating strategies that optimise antibody titre and increase cost-efficiency while minimising impurity levels.
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spelling pubmed-89597262022-03-29 Population balance modelling captures host cell protein dynamics in CHO cell cultures Alhuthali, Sakhr Kontoravdi, Cleo PLoS One Research Article Monoclonal antibodies (mAbs) have been extensively studied for their wide therapeutic and research applications. Increases in mAb titre has been achieved mainly by cell culture media/feed improvement and cell line engineering to increase cell density and specific mAb productivity. However, this improvement has shifted the bottleneck to downstream purification steps. The higher accumulation of the main cell-derived impurities, host cell proteins (HCPs), in the supernatant can negatively affect product integrity and immunogenicity in addition to increasing the cost of capture and polishing steps. Mathematical modelling of bioprocess dynamics is a valuable tool to improve industrial production at fast rate and low cost. Herein, a single stage volume-based population balance model (PBM) has been built to capture Chinese hamster ovary (CHO) cell behaviour in fed-batch bioreactors. Using cell volume as the internal variable, the model captures the dynamics of mAb and HCP accumulation extracellularly under physiological and mild hypothermic culture conditions. Model-based analysis and orthogonal measurements of lactate dehydrogenase activity and double-stranded DNA concentration in the supernatant show that a significant proportion of HCPs found in the extracellular matrix is secreted by viable cells. The PBM then served as a platform for generating operating strategies that optimise antibody titre and increase cost-efficiency while minimising impurity levels. Public Library of Science 2022-03-23 /pmc/articles/PMC8959726/ /pubmed/35320326 http://dx.doi.org/10.1371/journal.pone.0265886 Text en © 2022 Alhuthali, Kontoravdi https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Alhuthali, Sakhr
Kontoravdi, Cleo
Population balance modelling captures host cell protein dynamics in CHO cell cultures
title Population balance modelling captures host cell protein dynamics in CHO cell cultures
title_full Population balance modelling captures host cell protein dynamics in CHO cell cultures
title_fullStr Population balance modelling captures host cell protein dynamics in CHO cell cultures
title_full_unstemmed Population balance modelling captures host cell protein dynamics in CHO cell cultures
title_short Population balance modelling captures host cell protein dynamics in CHO cell cultures
title_sort population balance modelling captures host cell protein dynamics in cho cell cultures
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959726/
https://www.ncbi.nlm.nih.gov/pubmed/35320326
http://dx.doi.org/10.1371/journal.pone.0265886
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