Flow Activation Energy of High-Concentration Monoclonal Antibody Solutions and Protein–Protein Interactions Influenced by NaCl and Sucrose

The solution viscosity and protein-protein interactions (PPIs) as a function of temperature (4-40 °C) were measured at a series of protein concentrations for a monoclonal antibody (mAb) with different formulation conditions, which include NaCl and sucrose. The flow activation energy (<i>E</i><sub>η</sub>) was extracted from the temperature dependence of solution viscosity using the Arrhenius equation. PPIs were quantified via the protein diffusion interaction parameter (<i>k</i><sub>D</sub>) measured by dynamic light scattering, together with the osmotic second virial coefficient and the structure factor obtained through small-angle X-ray scattering. Both viscosity and PPIs were found to vary with the formulation conditions. Adding NaCl introduces an attractive interaction but leads to a significant reduction in the viscosity. However, adding sucrose enhances an overall repulsive effect and leads to a slight decrease in viscosity. Thus, the averaged (attractive or repulsive) PPI information is not a good indicator of viscosity at high protein concentrations for the mAb studied here. Instead, a correlation based on the temperature dependence of viscosity (i.e., <i>E</i><sub>η</sub>) and the temperature sensitivity in PPIs was observed for this specific mAb. When <i>k</i><sub>D</sub> is more sensitive to the temperature variation, it corresponds to a larger value of <i>E</i><sub>η</sub> and thus a higher viscosity in concentrated protein solutions. When <i>k</i><sub>D</sub> is less sensitive to temperature change, it corresponds to a smaller value of <i>E</i><sub>η</sub> and thus a lower viscosity at high protein concentrations. Rather than the absolute value of PPIs at a given temperature, our results show that the temperature sensitivity of PPIs may be a more useful metric for predicting issues with high viscosity of concentrated solutions. In addition, we also demonstrate that caution is required in choosing a proper protein concentration range to extract <i>k</i><sub>D</sub>. In some excipient conditions studied here, the appropriate protein concentration range needs to be less than 4 mg/mL, remarkably lower than the typical concentration range used in the literature.

Authors

Institutions

Publication Details

Journal
Molecular Pharmaceutics
Published
2024-08-20
DOI
https://doi.org/10.1021/acs.molpharmaceut.4c00460
Citations
9
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
2.10

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow Activation Energy of High-Concentration Monoclonal Antibody Solutions and Protein–Protein Interactions Influenced by NaCl and Sucrose

Harold W. Hatch, Rahul Upadhya, Steven D. Hudson, Alexander Grishaev et al.
9 citations
Molecular Pharmaceutics
Protein purification and stability
2.10
article

Flow Activation Energy of High-Concentration Monoclonal Antibody Solutions and Protein–Protein Interactions Influenced by NaCl and Sucrose

Harold W. Hatch, Rahul Upadhya, Steven D. Hudson, Alexander Grishaev, Marco A. Blanco, Richard E. Gillilan, Suzette A. Pabit, Guangcui Yuan, Sudeep Adhikari, Jainik Panchal, Qingqiu Huang, Paul F. Salipante, Yun Liu, Vincent K. Shen
article en
9 citations

Abstract

The solution viscosity and protein-protein interactions (PPIs) as a function of temperature (4-40 °C) were measured at a series of protein concentrations for a monoclonal antibody (mAb) with different formulation conditions, which include NaCl and sucrose. The flow activation energy (<i>E</i><sub>η</sub>) was extracted from the temperature dependence of solution viscosity using the Arrhenius equation. PPIs were quantified via the protein diffusion interaction parameter (<i>k</i><sub>D</sub>) measured by dynamic light scattering, together with the osmotic second virial coefficient and the structure factor obtained through small-angle X-ray scattering. Both viscosity and PPIs were found to vary with the formulation conditions. Adding NaCl introduces an attractive interaction but leads to a significant reduction in the viscosity. However, adding sucrose enhances an overall repulsive effect and leads to a slight decrease in viscosity. Thus, the averaged (attractive or repulsive) PPI information is not a good indicator of viscosity at high protein concentrations for the mAb studied here. Instead, a correlation based on the temperature dependence of viscosity (i.e., <i>E</i><sub>η</sub>) and the temperature sensitivity in PPIs was observed for this specific mAb. When <i>k</i><sub>D</sub> is more sensitive to the temperature variation, it corresponds to a larger value of <i>E</i><sub>η</sub> and thus a higher viscosity in concentrated protein solutions. When <i>k</i><sub>D</sub> is less sensitive to temperature change, it corresponds to a smaller value of <i>E</i><sub>η</sub> and thus a lower viscosity at high protein concentrations. Rather than the absolute value of PPIs at a given temperature, our results show that the temperature sensitivity of PPIs may be a more useful metric for predicting issues with high viscosity of concentrated solutions. In addition, we also demonstrate that caution is required in choosing a proper protein concentration range to extract <i>k</i><sub>D</sub>. In some excipient conditions studied here, the appropriate protein concentration range needs to be less than 4 mg/mL, remarkably lower than the typical concentration range used in the literature.

Molecular PharmaceuticsVol. 21(9)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), National Institute of Standards and Technology (US), United States Military Academy (US), Cornell University (US), Material Measurement Laboratory (US), NIST Center for Neutron Research (US), University of Delaware (US)
Empire State Development Corporation, National Institute of General Medical Sciences, Division of Materials Research
Affordable and clean energy
Openalex Percentile: Top 13%
Protein purification and stability
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.