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Monitoring process-related impurities in biologics–host cell protein analysis

During biologics development, manufacturers must demonstrate clearance of host cell impurities and contaminants to ensure drug purity, manufacturing process consistency, and patient safety. Host cell proteins (HCPs) are a major class of process-related impurities and require monitoring and documenta...

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Autores principales: Pilely, Katrine, Johansen, Martin Rask, Lund, Rikke Raaen, Kofoed, Thomas, Jørgensen, Thomas Kjærsgaard, Skriver, Lars, Mørtz, Ejvind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8483941/
https://www.ncbi.nlm.nih.gov/pubmed/34595561
http://dx.doi.org/10.1007/s00216-021-03648-2
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author Pilely, Katrine
Johansen, Martin Rask
Lund, Rikke Raaen
Kofoed, Thomas
Jørgensen, Thomas Kjærsgaard
Skriver, Lars
Mørtz, Ejvind
author_facet Pilely, Katrine
Johansen, Martin Rask
Lund, Rikke Raaen
Kofoed, Thomas
Jørgensen, Thomas Kjærsgaard
Skriver, Lars
Mørtz, Ejvind
author_sort Pilely, Katrine
collection PubMed
description During biologics development, manufacturers must demonstrate clearance of host cell impurities and contaminants to ensure drug purity, manufacturing process consistency, and patient safety. Host cell proteins (HCPs) are a major class of process-related impurities and require monitoring and documentation of their presence through development and manufacturing. Even in residual amounts, they are known to affect product quality and efficacy as well as patient safety. HCP analysis using enzyme-linked immunosorbent assay (HCP-ELISA) is the standard technique, due to its simple handling, short analysis time, and high sensitivity for protein impurities. Liquid chromatography mass spectrometry (LC–MS) is an orthogonal method for HCP analysis and is increasingly included in regulatory documentation. LC–MS offers advantages where HCP-ELISA has drawbacks, e.g., the ability to identify and quantify individual HCPs. This article summarizes the available knowledge about monitoring HCPs in biologics and presents the newest trends in HCP analysis with current state-of-the-art HCP measurement tools. Through case studies, we present examples of HCP control strategies that have been used in regulatory license applications, using an MS-based coverage analysis and HCP-ELISA and LC–MS for HCP quantification. This provides novel insight into the rapid evolving strategy of HCP analysis. Improvements in technologies to evaluate HCP-ELISA suitability and the implementation of orthogonal LC–MS methods for HCP analysis are important to rationally manipulate, engineer, and select suitable cell lines and downstream processing steps to limit problematic HCPs.
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spelling pubmed-84839412021-10-01 Monitoring process-related impurities in biologics–host cell protein analysis Pilely, Katrine Johansen, Martin Rask Lund, Rikke Raaen Kofoed, Thomas Jørgensen, Thomas Kjærsgaard Skriver, Lars Mørtz, Ejvind Anal Bioanal Chem Feature Article During biologics development, manufacturers must demonstrate clearance of host cell impurities and contaminants to ensure drug purity, manufacturing process consistency, and patient safety. Host cell proteins (HCPs) are a major class of process-related impurities and require monitoring and documentation of their presence through development and manufacturing. Even in residual amounts, they are known to affect product quality and efficacy as well as patient safety. HCP analysis using enzyme-linked immunosorbent assay (HCP-ELISA) is the standard technique, due to its simple handling, short analysis time, and high sensitivity for protein impurities. Liquid chromatography mass spectrometry (LC–MS) is an orthogonal method for HCP analysis and is increasingly included in regulatory documentation. LC–MS offers advantages where HCP-ELISA has drawbacks, e.g., the ability to identify and quantify individual HCPs. This article summarizes the available knowledge about monitoring HCPs in biologics and presents the newest trends in HCP analysis with current state-of-the-art HCP measurement tools. Through case studies, we present examples of HCP control strategies that have been used in regulatory license applications, using an MS-based coverage analysis and HCP-ELISA and LC–MS for HCP quantification. This provides novel insight into the rapid evolving strategy of HCP analysis. Improvements in technologies to evaluate HCP-ELISA suitability and the implementation of orthogonal LC–MS methods for HCP analysis are important to rationally manipulate, engineer, and select suitable cell lines and downstream processing steps to limit problematic HCPs. Springer Berlin Heidelberg 2021-10-01 2022 /pmc/articles/PMC8483941/ /pubmed/34595561 http://dx.doi.org/10.1007/s00216-021-03648-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Feature Article
Pilely, Katrine
Johansen, Martin Rask
Lund, Rikke Raaen
Kofoed, Thomas
Jørgensen, Thomas Kjærsgaard
Skriver, Lars
Mørtz, Ejvind
Monitoring process-related impurities in biologics–host cell protein analysis
title Monitoring process-related impurities in biologics–host cell protein analysis
title_full Monitoring process-related impurities in biologics–host cell protein analysis
title_fullStr Monitoring process-related impurities in biologics–host cell protein analysis
title_full_unstemmed Monitoring process-related impurities in biologics–host cell protein analysis
title_short Monitoring process-related impurities in biologics–host cell protein analysis
title_sort monitoring process-related impurities in biologics–host cell protein analysis
topic Feature Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8483941/
https://www.ncbi.nlm.nih.gov/pubmed/34595561
http://dx.doi.org/10.1007/s00216-021-03648-2
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