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Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes

Understanding process parameter interactions and their effects on mammalian cell cultivations is an essential requirement for robust process scale-up. Furthermore, knowledge of the relationship between the process parameters and the product critical quality attributes (CQAs) is necessary to satisfy...

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Autores principales: Brunner, Matthias, Fricke, Jens, Kroll, Paul, Herwig, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5274649/
https://www.ncbi.nlm.nih.gov/pubmed/27752770
http://dx.doi.org/10.1007/s00449-016-1693-7
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author Brunner, Matthias
Fricke, Jens
Kroll, Paul
Herwig, Christoph
author_facet Brunner, Matthias
Fricke, Jens
Kroll, Paul
Herwig, Christoph
author_sort Brunner, Matthias
collection PubMed
description Understanding process parameter interactions and their effects on mammalian cell cultivations is an essential requirement for robust process scale-up. Furthermore, knowledge of the relationship between the process parameters and the product critical quality attributes (CQAs) is necessary to satisfy quality by design guidelines. So far, mainly the effect of single parameters on CQAs was investigated. Here, we present a comprehensive study to investigate the interactions of scale-up relevant parameters as pH, pO(2) and pCO(2) on CHO cell physiology, process performance and CQAs, which was based on design of experiments and extended product quality analytics. The study used a novel control strategy in which process parameters were decoupled from each other, and thus allowed their individual control at defined set points. Besides having identified the impact of single parameters on process performance and product quality, further significant interaction effects of process parameters on specific cell growth, specific productivity and amino acid metabolism could be derived using this method. Concerning single parameter effects, several monoclonal antibody (mAb) charge variants were affected by process pCO(2) and pH. N-glycosylation analysis showed positive correlations between mAb sialylation and high pH values as well as a relationship between high mannose variants and process pH. This study additionally revealed several interaction effects as process pH and pCO(2) interactions on mAb charge variants and N-glycosylation pattern. Hence, through our process control strategy and multivariate investigation, novel significant process parameter interactions and single effects were identified which have to be taken into account especially for process scale-up. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00449-016-1693-7) contains supplementary material, which is available to authorized users.
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spelling pubmed-52746492017-02-10 Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes Brunner, Matthias Fricke, Jens Kroll, Paul Herwig, Christoph Bioprocess Biosyst Eng Research Paper Understanding process parameter interactions and their effects on mammalian cell cultivations is an essential requirement for robust process scale-up. Furthermore, knowledge of the relationship between the process parameters and the product critical quality attributes (CQAs) is necessary to satisfy quality by design guidelines. So far, mainly the effect of single parameters on CQAs was investigated. Here, we present a comprehensive study to investigate the interactions of scale-up relevant parameters as pH, pO(2) and pCO(2) on CHO cell physiology, process performance and CQAs, which was based on design of experiments and extended product quality analytics. The study used a novel control strategy in which process parameters were decoupled from each other, and thus allowed their individual control at defined set points. Besides having identified the impact of single parameters on process performance and product quality, further significant interaction effects of process parameters on specific cell growth, specific productivity and amino acid metabolism could be derived using this method. Concerning single parameter effects, several monoclonal antibody (mAb) charge variants were affected by process pCO(2) and pH. N-glycosylation analysis showed positive correlations between mAb sialylation and high pH values as well as a relationship between high mannose variants and process pH. This study additionally revealed several interaction effects as process pH and pCO(2) interactions on mAb charge variants and N-glycosylation pattern. Hence, through our process control strategy and multivariate investigation, novel significant process parameter interactions and single effects were identified which have to be taken into account especially for process scale-up. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00449-016-1693-7) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-10-17 2017 /pmc/articles/PMC5274649/ /pubmed/27752770 http://dx.doi.org/10.1007/s00449-016-1693-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Paper
Brunner, Matthias
Fricke, Jens
Kroll, Paul
Herwig, Christoph
Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title_full Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title_fullStr Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title_full_unstemmed Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title_short Investigation of the interactions of critical scale-up parameters (pH, pO(2) and pCO(2)) on CHO batch performance and critical quality attributes
title_sort investigation of the interactions of critical scale-up parameters (ph, po(2) and pco(2)) on cho batch performance and critical quality attributes
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5274649/
https://www.ncbi.nlm.nih.gov/pubmed/27752770
http://dx.doi.org/10.1007/s00449-016-1693-7
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