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Prediction of long-term polysorbate degradation according to short-term degradation kinetics
Polysorbates (PSs) are a class of surfactants commonly used in the formulation of protein therapeutic agents to provide protection against denaturation and aggregation. When the PS in these drug formulations degrades, loss of stabilization of the protein therapeutic and formulation may occur, result...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332185/ https://www.ncbi.nlm.nih.gov/pubmed/37415319 http://dx.doi.org/10.1080/19420862.2023.2232486 |
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author | Zhang, Sisi Riccardi, Caterina Carlson, Dane Kamen, Douglas Graham, Kenneth S. Shameem, Mohammed Bak, Hanne Xiao, Hui Li, Ning |
author_facet | Zhang, Sisi Riccardi, Caterina Carlson, Dane Kamen, Douglas Graham, Kenneth S. Shameem, Mohammed Bak, Hanne Xiao, Hui Li, Ning |
author_sort | Zhang, Sisi |
collection | PubMed |
description | Polysorbates (PSs) are a class of surfactants commonly used in the formulation of protein therapeutic agents to provide protection against denaturation and aggregation. When the PS in these drug formulations degrades, loss of stabilization of the protein therapeutic and formulation may occur, resulting in particulate formation or other undesirable changes in product critical quality attributes. Here, we present a simplified platform to predict long-term PS20 and PS80 degradation for monoclonal antibody drugs containing the PS-degrading enzyme lysosomal acid lipase. The platform was based on a temperature-dependent equation derived from existing PS20 degradation stability data. Accurate prediction of both PS20 and PS80 hydrolysis for as long as 2 years was achieved through short-term kinetics studies performed within 2 weeks. This platform substantially shortens the time required to determine the long-term stability of PS degradation and therefore can be used to guide the purification process and optimization of antibody formulations. |
format | Online Article Text |
id | pubmed-10332185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-103321852023-07-11 Prediction of long-term polysorbate degradation according to short-term degradation kinetics Zhang, Sisi Riccardi, Caterina Carlson, Dane Kamen, Douglas Graham, Kenneth S. Shameem, Mohammed Bak, Hanne Xiao, Hui Li, Ning MAbs Report Polysorbates (PSs) are a class of surfactants commonly used in the formulation of protein therapeutic agents to provide protection against denaturation and aggregation. When the PS in these drug formulations degrades, loss of stabilization of the protein therapeutic and formulation may occur, resulting in particulate formation or other undesirable changes in product critical quality attributes. Here, we present a simplified platform to predict long-term PS20 and PS80 degradation for monoclonal antibody drugs containing the PS-degrading enzyme lysosomal acid lipase. The platform was based on a temperature-dependent equation derived from existing PS20 degradation stability data. Accurate prediction of both PS20 and PS80 hydrolysis for as long as 2 years was achieved through short-term kinetics studies performed within 2 weeks. This platform substantially shortens the time required to determine the long-term stability of PS degradation and therefore can be used to guide the purification process and optimization of antibody formulations. Taylor & Francis 2023-07-06 /pmc/articles/PMC10332185/ /pubmed/37415319 http://dx.doi.org/10.1080/19420862.2023.2232486 Text en © 2023 Regeneron Pharmaceuticals. Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Report Zhang, Sisi Riccardi, Caterina Carlson, Dane Kamen, Douglas Graham, Kenneth S. Shameem, Mohammed Bak, Hanne Xiao, Hui Li, Ning Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title | Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title_full | Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title_fullStr | Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title_full_unstemmed | Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title_short | Prediction of long-term polysorbate degradation according to short-term degradation kinetics |
title_sort | prediction of long-term polysorbate degradation according to short-term degradation kinetics |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332185/ https://www.ncbi.nlm.nih.gov/pubmed/37415319 http://dx.doi.org/10.1080/19420862.2023.2232486 |
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