Literature DB >> 29571738

Determination of Interaction Parameters for Reversibly Self-Associating Antibodies: A Comparative Analysis.

Mandi M Hopkins1, Cherie L Lambert1, Jared S Bee2, Arun Parupudi2, David L Bain3.   

Abstract

Monoclonal antibodies (mAbs) represent a major class of biotherapeutics and are the fastest growing category of biologic drugs on the market. However, mAb development and formulation are often impeded by reversible self-association (RSA), defined as the dynamic exchange of monomers with native-state oligomers. Here, we present a comparative analysis of the self-association properties for 5 IgG mAbs, under matched conditions and using orthogonal methods. Concentration-dependent dynamic light scattering and sedimentation velocity studies revealed that the majority of mAbs examined exhibited weak to moderate RSA. However, because these studies were carried out at mAb concentrations in the mg/mL range, we also observed significant nonideality. Noting that nonideality frequently masks RSA and vice versa, we conducted direct boundary fitting of the sedimentation velocity data to determine stoichiometric binding models, interaction affinities, and nonideality terms for each mAb. These analyses revealed equilibrium constants from micromolar to millimolar and stoichiometric models from monomer-dimer to isodesmic. Moreover, even for those mAbs described by identical models, we observed distinct kinetics of self-association. The accuracy of the models and their corresponding equilibrium constants were addressed using sedimentation equilibrium and simulations. Overall, these results serve as the starting point for the comparative dissection of RSA mechanisms in therapeutic mAbs.
Copyright © 2018 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  analytical ultracentrifugation; dynamic light scattering; interacting systems; mAb; nonideality

Mesh:

Substances:

Year:  2018        PMID: 29571738     DOI: 10.1016/j.xphs.2018.03.011

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  9 in total

1.  Energetic Dissection of Mab-Specific Reversible Self-Association Reveals Unique Thermodynamic Signatures.

Authors:  Mandi M Hopkins; Arun Parupudi; Jared S Bee; David L Bain
Journal:  Pharm Res       Date:  2021-02-18       Impact factor: 4.200

2.  AUC measurements of diffusion coefficients of monoclonal antibodies in the presence of human serum proteins.

Authors:  Robert T Wright; David Hayes; Peter J Sherwood; Walter F Stafford; John J Correia
Journal:  Eur Biophys J       Date:  2018-07-12       Impact factor: 1.733

3.  Assessment of Antibody Self-Interaction by Bio-Layer-Interferometry as a Tool for Early Stage Formulation Development.

Authors:  Martin Domnowski; Jan Jaehrling; Wolfgang Frieß
Journal:  Pharm Res       Date:  2020-01-08       Impact factor: 4.200

4.  Measuring aggregates, self-association, and weak interactions in concentrated therapeutic antibody solutions.

Authors:  Sumit K Chaturvedi; Arun Parupudi; Kristian Juul-Madsen; Ai Nguyen; Thomas Vorup-Jensen; Sonia Dragulin-Otto; Huaying Zhao; Reza Esfandiary; Peter Schuck
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

5.  Global multi-method analysis of interaction parameters for reversibly self-associating macromolecules at high concentrations.

Authors:  Arun Parupudi; Sumit K Chaturvedi; Regina Adão; Robert W Harkness; Sonia Dragulin-Otto; Lewis E Kay; Reza Esfandiary; Huaying Zhao; Peter Schuck
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.996

6.  Effects of Monovalent Salt on Protein-Protein Interactions of Dilute and Concentrated Monoclonal Antibody Formulations.

Authors:  Amy Y Xu; Nicholas J Clark; Joseph Pollastrini; Maribel Espinoza; Hyo-Jin Kim; Sekhar Kanapuram; Bruce Kerwin; Michael J Treuheit; Susan Krueger; Arnold McAuley; Joseph E Curtis
Journal:  Antibodies (Basel)       Date:  2022-03-31

7.  Measuring macromolecular size distributions and interactions at high concentrations by sedimentation velocity.

Authors:  Sumit K Chaturvedi; Jia Ma; Patrick H Brown; Huaying Zhao; P Schuck
Journal:  Nat Commun       Date:  2018-10-24       Impact factor: 14.919

8.  Measuring Ultra-Weak Protein Self-Association by Non-ideal Sedimentation Velocity.

Authors:  Sumit K Chaturvedi; Vatsala Sagar; Huaying Zhao; Graeme Wistow; Peter Schuck
Journal:  J Am Chem Soc       Date:  2019-02-06       Impact factor: 15.419

9.  Analysis of nonideality: insights from high concentration simulations of sedimentation velocity data.

Authors:  J J Correia; R T Wright; P J Sherwood; W F Stafford
Journal:  Eur Biophys J       Date:  2020-11-06       Impact factor: 1.733

  9 in total

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