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Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data
The Aviv fluorescence detection system (Aviv-FDS) has allowed the performance of sedimentation velocity experiments on therapeutic antibodies in highly concentrated environments like formulation buffers and serum. Methods were implemented in the software package SEDANAL for the analysis of nonideal,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701085/ https://www.ncbi.nlm.nih.gov/pubmed/33159218 http://dx.doi.org/10.1007/s00249-020-01474-5 |
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author | Correia, J. J. Wright, R. T. Sherwood, P. J. Stafford, W. F. |
author_facet | Correia, J. J. Wright, R. T. Sherwood, P. J. Stafford, W. F. |
author_sort | Correia, J. J. |
collection | PubMed |
description | The Aviv fluorescence detection system (Aviv-FDS) has allowed the performance of sedimentation velocity experiments on therapeutic antibodies in highly concentrated environments like formulation buffers and serum. Methods were implemented in the software package SEDANAL for the analysis of nonideal, weakly associating AUC data acquired on therapeutic antibodies and proteins (Wright et al. Eur Biophys J 47:709–722, 2018, Anal Biochem 550:72–83, 2018). This involved fitting both hydrodynamic, k(s), and thermodynamic, BM(1), nonideality where concentration dependence is expressed as s = s(o)/(1 + k(s)c) and D = D(o)(1 + 2BM(1)c)/(1 + k(s)c) and s(o) and D(o) are values extrapolated to c = 0 (mg/ml). To gain insight into the consequences of these phenomenological parameters, we performed simulations with SEDANAL of a monoclonal antibody as a function of k(s) (0–100 ml/g) and BM(1) (0–100 ml/g). This provides a visual understanding of the separate and joint impact of k(s) and BM(1) on the shape of high-concentration sedimentation velocity boundaries and the challenge of their unique determination by finite element methods. In addition, mAbs undergo weak self- and hetero-association (Yang et al. Prot Sci 27:1334–1348, 2018) and thus we have simulated examples of nonideal weak association over a wide range of concentrations (1–120 mg/ml). Here we demonstrate these data are best analyzed by direct boundary global fitting to models that account for k(s), BM(1) and weak association. Because a typical clinical dose of mAb is 50–200 mg/ml, these results have relevance for biophysical understanding of concentrated therapeutic proteins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00249-020-01474-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7701085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-77010852020-12-03 Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data Correia, J. J. Wright, R. T. Sherwood, P. J. Stafford, W. F. Eur Biophys J Original Article The Aviv fluorescence detection system (Aviv-FDS) has allowed the performance of sedimentation velocity experiments on therapeutic antibodies in highly concentrated environments like formulation buffers and serum. Methods were implemented in the software package SEDANAL for the analysis of nonideal, weakly associating AUC data acquired on therapeutic antibodies and proteins (Wright et al. Eur Biophys J 47:709–722, 2018, Anal Biochem 550:72–83, 2018). This involved fitting both hydrodynamic, k(s), and thermodynamic, BM(1), nonideality where concentration dependence is expressed as s = s(o)/(1 + k(s)c) and D = D(o)(1 + 2BM(1)c)/(1 + k(s)c) and s(o) and D(o) are values extrapolated to c = 0 (mg/ml). To gain insight into the consequences of these phenomenological parameters, we performed simulations with SEDANAL of a monoclonal antibody as a function of k(s) (0–100 ml/g) and BM(1) (0–100 ml/g). This provides a visual understanding of the separate and joint impact of k(s) and BM(1) on the shape of high-concentration sedimentation velocity boundaries and the challenge of their unique determination by finite element methods. In addition, mAbs undergo weak self- and hetero-association (Yang et al. Prot Sci 27:1334–1348, 2018) and thus we have simulated examples of nonideal weak association over a wide range of concentrations (1–120 mg/ml). Here we demonstrate these data are best analyzed by direct boundary global fitting to models that account for k(s), BM(1) and weak association. Because a typical clinical dose of mAb is 50–200 mg/ml, these results have relevance for biophysical understanding of concentrated therapeutic proteins. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00249-020-01474-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2020-11-06 2020 /pmc/articles/PMC7701085/ /pubmed/33159218 http://dx.doi.org/10.1007/s00249-020-01474-5 Text en © The Author(s) 2020 Open AccessThis 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/. |
spellingShingle | Original Article Correia, J. J. Wright, R. T. Sherwood, P. J. Stafford, W. F. Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title | Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title_full | Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title_fullStr | Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title_full_unstemmed | Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title_short | Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
title_sort | analysis of nonideality: insights from high concentration simulations of sedimentation velocity data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7701085/ https://www.ncbi.nlm.nih.gov/pubmed/33159218 http://dx.doi.org/10.1007/s00249-020-01474-5 |
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