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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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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. |
format | Online Article Text |
id | pubmed-8483941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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