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Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability

[Image: see text] Novel drug candidates are continuously being developed to combat the most life-threatening diseases; however, many promising protein therapeutics are dropped from the pipeline. During biological and industrial processes, protein therapeutics are exposed to various stresses such as...

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Autores principales: Shmool, Talia A., Martin, Laura K., Matthews, Richard P., Hallett, Jason P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516703/
https://www.ncbi.nlm.nih.gov/pubmed/36186557
http://dx.doi.org/10.1021/jacsau.2c00356
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author Shmool, Talia A.
Martin, Laura K.
Matthews, Richard P.
Hallett, Jason P.
author_facet Shmool, Talia A.
Martin, Laura K.
Matthews, Richard P.
Hallett, Jason P.
author_sort Shmool, Talia A.
collection PubMed
description [Image: see text] Novel drug candidates are continuously being developed to combat the most life-threatening diseases; however, many promising protein therapeutics are dropped from the pipeline. During biological and industrial processes, protein therapeutics are exposed to various stresses such as fluctuations in temperature, solvent pH, and ionic strength. These can lead to enhanced protein aggregation propensity, one of the greatest challenges in drug development. Recently, ionic liquids (ILs), in particular, biocompatible choline chloride ([Cho]Cl)-based ILs, have been used to hinder stress-induced protein conformational changes. Herein, we develop an IL-based strategy to predict protein aggregation propensity and thermodynamic stability. We examine three key variables influencing protein misfolding: pH, ionic strength, and temperature. Using dynamic light scattering, zeta potential, and variable temperature circular dichroism measurements, we systematically evaluate the structural, thermal, and thermodynamic stability of fresh immunoglobin G4 (IgG4) antibody in water and 10, 30, and 50 wt % [Cho]Cl. Additionally, we conduct molecular dynamics simulations to examine IgG4 aggregation propensity in each system and the relative favorability of different [Cho]Cl-IgG4 packing interactions. We re-evaluate each system following 365 days of storage at 4 °C and demonstrate how to predict the thermodynamic properties and protein aggregation propensity over extended storage, even under stress conditions. We find that increasing [Cho]Cl concentration reduced IgG4 aggregation propensity both fresh and following 365 days of storage and demonstrate the potential of using our predictive IL-based strategy and formulations to radically increase protein stability and storage.
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spelling pubmed-95167032022-09-29 Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability Shmool, Talia A. Martin, Laura K. Matthews, Richard P. Hallett, Jason P. JACS Au [Image: see text] Novel drug candidates are continuously being developed to combat the most life-threatening diseases; however, many promising protein therapeutics are dropped from the pipeline. During biological and industrial processes, protein therapeutics are exposed to various stresses such as fluctuations in temperature, solvent pH, and ionic strength. These can lead to enhanced protein aggregation propensity, one of the greatest challenges in drug development. Recently, ionic liquids (ILs), in particular, biocompatible choline chloride ([Cho]Cl)-based ILs, have been used to hinder stress-induced protein conformational changes. Herein, we develop an IL-based strategy to predict protein aggregation propensity and thermodynamic stability. We examine three key variables influencing protein misfolding: pH, ionic strength, and temperature. Using dynamic light scattering, zeta potential, and variable temperature circular dichroism measurements, we systematically evaluate the structural, thermal, and thermodynamic stability of fresh immunoglobin G4 (IgG4) antibody in water and 10, 30, and 50 wt % [Cho]Cl. Additionally, we conduct molecular dynamics simulations to examine IgG4 aggregation propensity in each system and the relative favorability of different [Cho]Cl-IgG4 packing interactions. We re-evaluate each system following 365 days of storage at 4 °C and demonstrate how to predict the thermodynamic properties and protein aggregation propensity over extended storage, even under stress conditions. We find that increasing [Cho]Cl concentration reduced IgG4 aggregation propensity both fresh and following 365 days of storage and demonstrate the potential of using our predictive IL-based strategy and formulations to radically increase protein stability and storage. American Chemical Society 2022-09-09 /pmc/articles/PMC9516703/ /pubmed/36186557 http://dx.doi.org/10.1021/jacsau.2c00356 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Shmool, Talia A.
Martin, Laura K.
Matthews, Richard P.
Hallett, Jason P.
Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title_full Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title_fullStr Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title_full_unstemmed Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title_short Ionic Liquid-Based Strategy for Predicting Protein Aggregation Propensity and Thermodynamic Stability
title_sort ionic liquid-based strategy for predicting protein aggregation propensity and thermodynamic stability
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516703/
https://www.ncbi.nlm.nih.gov/pubmed/36186557
http://dx.doi.org/10.1021/jacsau.2c00356
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