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Palakollu V, Motabar L, Roberts CJ. Impact of Glycosylation on Protein-Protein Self-Interactions of Monoclonal Antibodies. Mol Pharm 2024; 21:1414-1423. [PMID: 38386020 DOI: 10.1021/acs.molpharmaceut.3c01069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Protein self-interactions measured via second osmotic virial coefficients (B22) and dynamic light scattering interaction parameter values (kD) are often used as metrics for assessing the favorability of protein candidates and different formulations during monoclonal antibody (MAb) product development. Model predictions of B22 or kD typically do not account for glycans, though glycosylation can potentially impact experimental MAb self-interactions. To the best of our knowledge, the impact of MAb glycosylation on the experimentally measured B22 and kD values has not yet been reported. B22 and kD values of two fully deglycosylated MAbs and their native (i.e., fully glycosylated) counterparts were measured by light scattering over a range of pH and ionic strength conditions. Significant differences between B22 and kD of the native and deglycosylated forms were observed at a range of low to high ionic strengths used to modulate the effect of electrostatic contributions. Differences were most pronounced at low ionic strength, indicating that electrostatic interactions are a contributing factor. Though B22 and kD values were statistically equivalent at high ionic strengths where electrostatics were fully screened, we observed protein-dependent qualitative differences, which indicate that steric interactions may also play a role in the observed B22 and kD differences. A domain-level coarse-grained molecular model accounting for charge differences was considered to potentially provide additional insight but was not fully predictive of the behavior across all of the solution conditions investigated. This highlights that both the level of modeling and lack of inclusion of glycans may limit existing models in making quantitatively accurate predictions of self-interactions.
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Affiliation(s)
- Veerabhadraiah Palakollu
- Department of Chemical & Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Lily Motabar
- Department of Chemical & Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Christopher J Roberts
- Department of Chemical & Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States
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Virk SS, Underhill PT. Application of a Simple Short-Range Attraction and Long-Range Repulsion Colloidal Model toward Predicting the Viscosity of Protein Solutions. Mol Pharm 2022; 19:4233-4240. [PMID: 36129361 DOI: 10.1021/acs.molpharmaceut.2c00582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Some hard-sphere colloidal models have been criticized for inaccurately predicting the solution viscosity of complex biological molecules like proteins. Competing short-range attractions and long-range repulsions, also known as short-range attraction and long-range repulsion (SALR) interactions, have been thought to affect the microstructure of a protein solution at low to moderate ionic strength. However, such interactions have been implicated primarily in causing phase transition, protein gelation, or reversible cluster formation, and their effect on protein solution viscosity change is not fully understood. In this work, we show the application of a hard-sphere colloidal model with SALR interactions toward predicting the viscosity of dilute to semi-dilute protein solutions. The comparison is performed for a globular-shaped albumin and Y-shaped therapeutic monoclonal antibody that are not explained by previous colloidal models. The model predictions show that it is the coupling between attractions and repulsions that gives rise to the observed experimental trends in solution viscosity as a function of pH, concentration, and ionic strength. The parameters of the model are obtained from measurements of the second virial coefficient and net surface charge/zeta-potential, without additional fitting of the viscosity.
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Affiliation(s)
- Sabitoj Singh Virk
- Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, United States
| | - Patrick T Underhill
- Rensselaer Polytechnic Institute, 110 8th Street, Troy, New York 12180, United States
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3
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Hedberg SHM, Brown LG, Meghdadi A, Williams DR. Improved adsorption reactions, kinetics and stability for model and therapeutic proteins immobilised on affinity resins. ADSORPTION 2019; 25:1177-1190. [PMID: 31435138 PMCID: PMC6683242 DOI: 10.1007/s10450-019-00106-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 04/26/2019] [Accepted: 04/29/2019] [Indexed: 11/29/2022]
Abstract
Protein adsorption on solid state media is important for the industrial affinity chromatography of biotherapeutics and for preparing materials for self-interaction chromatography where fundamental protein solution thermodynamic properties are measured. The adsorption of three model proteins (lysozyme, catalase and BSA) and two antibodies (a monoclonal and a polyclonal antibody) have been investigated on commercial affinity chromatography media with different surface functionalities (Formyl, Tresyl and Amino). Both the extent of protein immobilised (mg protein/ml media) and the reaction kinetics are reported for a range of reaction conditions, including pH, differing buffers as well as the presence of secondary reactants (glutaraldehyde, sodium cyanoborohydride, EDC and NHS). Compared to the reaction conditions recommended by manufacturers as well as those reported in previous published work, significant increases in the extent of protein immobilisation and reaction kinetics are reported here. The addition of glutaraldehyde or sodium cyanoborohydride was found to be especially effective even when not directly needed for the adsorption to happen. For mAb and pIgG, immobilisation levels of 50 and 31 mg of protein/ml of resin respectively were achieved, which are 100% or more than previously reported. Enhanced levels were achieved for lysozyme of 120 mg/ml with very rapid reaction kinetics (< 1 h) with sodium cyanoborohydride. It can be concluded that specific chromatography resins with Tresyl activated support offered enhanced levels of protein immobilisation due to their ability to react to form amine or thio-ether linkages with proteins. Additionally, glutaraldehyde can result in higher immobilisation levels whilst it can also accelerate immobilisation reaction kinetics. ![]()
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Affiliation(s)
- S. H. M. Hedberg
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - L. G. Brown
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - A. Meghdadi
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
- Present Address: Bioengineering Research Group, Department of Mechanical Engineering, University of Southampton, Southampton, England, UK
| | - D. R. Williams
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
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Kuo TC, Huang YC, Matulis D, Chen WY. Molecular self-interactions of ribonuclease A revealed by isothermal titration calorimetry and self-interaction chromatography – Effects of anisotropy of protein surface charges. J Taiwan Inst Chem Eng 2019. [DOI: 10.1016/j.jtice.2018.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Hedberg SH, Lee D, Mishra Y, Haigh JM, Williams DR. Mapping the mAb Aggregation Propensity Using Self-Interaction Chromatography as a Screening Tool. Anal Chem 2018; 90:3878-3885. [DOI: 10.1021/acs.analchem.7b04605] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Sarah H.M. Hedberg
- Surface and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - DongKyu Lee
- Surface and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Yash Mishra
- Surface and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
| | - Jonathan M. Haigh
- R&D Downstream Process Operations, Fujifilm Diosynth Biotechnologies, Belasis Avenue, Billingham TS23 1LH, U.K
| | - Daryl R. Williams
- Surface and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K
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Hedberg SHM, Heng JYY, Williams DR, Liddell JM. Micro scale self-interaction chromatography of proteins: A mAb case-study. J Chromatogr A 2016; 1434:57-63. [PMID: 26810801 DOI: 10.1016/j.chroma.2015.12.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2015] [Revised: 12/10/2015] [Accepted: 12/11/2015] [Indexed: 11/28/2022]
Affiliation(s)
- S H M Hedberg
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - J Y Y Heng
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, United Kingdom
| | - D R Williams
- Surfaces and Particle Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, United Kingdom.
| | - J M Liddell
- R&D Group, FUJIFILM Diosynth Biotechnologies, Billingham, United Kingdom
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Self-Interaction Chromatography of mAbs: Accurate Measurement of Dead Volumes. Pharm Res 2015; 32:3975-85. [PMID: 26268546 PMCID: PMC4628098 DOI: 10.1007/s11095-015-1758-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Accepted: 07/14/2015] [Indexed: 10/31/2022]
Abstract
PURPOSE Measurement of the second virial coefficient B22 for proteins using self-interaction chromatography (SIC) is becoming an increasingly important technique for studying their solution behaviour. In common with all physicochemical chromatographic methods, measuring the dead volume of the SIC packed column is crucial for accurate retention data; this paper examines best practise for dead volume determination. METHOD SIC type experiments using catalase, BSA, lysozyme and a mAb as model systems are reported, as well as a number of dead column measurements. RESULTS It was observed that lysozyme and mAb interacted specifically with Toyopearl AF-Formyl dead columns depending upon pH and [NaCl], invalidating their dead volume usage. Toyopearl AF-Amino packed dead columns showed no such problems and acted as suitable dead columns without any solution condition dependency. Dead volume determinations using dextran MW standards with protein immobilised SIC columns provided dead volume estimates close to those obtained using Toyopearl AF-Amino dead columns. CONCLUSION It is concluded that specific interactions between proteins, including mAbs, and select SIC support phases can compromise the use of some standard approaches for estimating the dead volume of SIC columns. Two other methods were shown to provide good estimates for the dead volume.
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Geng SB, Cheung JK, Narasimhan C, Shameem M, Tessier PM. Improving monoclonal antibody selection and engineering using measurements of colloidal protein interactions. J Pharm Sci 2014; 103:3356-3363. [PMID: 25209466 DOI: 10.1002/jps.24130] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 06/30/2014] [Accepted: 07/29/2014] [Indexed: 12/14/2022]
Abstract
A limitation of using mAbs as therapeutic molecules is their propensity to associate with themselves and/or with other molecules via nonaffinity (colloidal) interactions. This can lead to a variety of problems ranging from low solubility and high viscosity to off-target binding and fast antibody clearance. Measuring such colloidal interactions is challenging given that they are weak and potentially involve diverse target molecules. Nevertheless, assessing these weak interactions-especially during early antibody discovery and lead candidate optimization-is critical to preventing problems that can arise later in the development process. Here we review advances in developing and implementing sensitive methods for measuring antibody colloidal interactions as well as using these measurements for guiding antibody selection and engineering. These systematic efforts to minimize nonaffinity interactions are expected to yield more effective and stable mAbs for diverse therapeutic applications. © 2014 Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 103:3356-3363, 2014.
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Affiliation(s)
- Steven B Geng
- Center for Biotechnology & Interdisciplinary Studies, Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180
| | - Jason K Cheung
- Sterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033
| | - Chakravarthy Narasimhan
- Sterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033
| | - Mohammed Shameem
- Sterile Product and Analytical Development, Merck Research Laboratories, Kenilworth, New Jersey 07033
| | - Peter M Tessier
- Center for Biotechnology & Interdisciplinary Studies, Isermann Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180.
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Binabaji E, Rao S, Zydney AL. The osmotic pressure of highly concentrated monoclonal antibody solutions: Effect of solution conditions. Biotechnol Bioeng 2013; 111:529-36. [DOI: 10.1002/bit.25104] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2013] [Revised: 08/14/2013] [Accepted: 08/21/2013] [Indexed: 11/07/2022]
Affiliation(s)
- Elaheh Binabaji
- Department of Chemical Engineering; The Pennsylvania State University; University Park Pennsylvania 16802
| | - Suma Rao
- Purification Process Development; Amgen, Inc.; 1 Amgen Center Drive, Mail Stop 30W-2-A Thousand Oaks California 91320
| | - Andrew L. Zydney
- Department of Chemical Engineering; The Pennsylvania State University; University Park Pennsylvania 16802
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