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Manning MC, Holcomb RE, Payne RW, Stillahn JM, Connolly BD, Katayama DS, Liu H, Matsuura JE, Murphy BM, Henry CS, Crommelin DJA. Stability of Protein Pharmaceuticals: Recent Advances. Pharm Res 2024:10.1007/s11095-024-03726-x. [PMID: 38937372 DOI: 10.1007/s11095-024-03726-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
There have been significant advances in the formulation and stabilization of proteins in the liquid state over the past years since our previous review. Our mechanistic understanding of protein-excipient interactions has increased, allowing one to develop formulations in a more rational fashion. The field has moved towards more complex and challenging formulations, such as high concentration formulations to allow for subcutaneous administration and co-formulation. While much of the published work has focused on mAbs, the principles appear to apply to any therapeutic protein, although mAbs clearly have some distinctive features. In this review, we first discuss chemical degradation reactions. This is followed by a section on physical instability issues. Then, more specific topics are addressed: instability induced by interactions with interfaces, predictive methods for physical stability and interplay between chemical and physical instability. The final parts are devoted to discussions how all the above impacts (co-)formulation strategies, in particular for high protein concentration solutions.'
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Affiliation(s)
- Mark Cornell Manning
- Legacy BioDesign LLC, Johnstown, CO, USA.
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA.
| | - Ryan E Holcomb
- Legacy BioDesign LLC, Johnstown, CO, USA
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
| | - Robert W Payne
- Legacy BioDesign LLC, Johnstown, CO, USA
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
| | - Joshua M Stillahn
- Legacy BioDesign LLC, Johnstown, CO, USA
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
| | | | | | | | | | | | - Charles S Henry
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
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2
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Chowdhury AA, Manohar N, Lanzaro A, Kimball WD, Witek MA, Woldeyes MA, Majumdar R, Qian KK, Xu S, Gillilan RE, Huang Q, Truskett TM, Johnston KP. Characterizing Protein-Protein Interactions and Viscosity of a Monoclonal Antibody from Low to High Concentration Using Small-Angle X-ray Scattering and Molecular Dynamics Simulations. Mol Pharm 2023; 20:5563-5578. [PMID: 37782765 DOI: 10.1021/acs.molpharmaceut.3c00484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
Understanding protein-protein interactions and formation of reversible oligomers (clusters) in concentrated monoclonal antibody (mAb) solutions is necessary for designing stable, low viscosity (η) concentrated formulations for processing and subcutaneous injection. Here we characterize the strength (K) of short-range anisotropic attractions (SRA) for 75-200 mg/mL mAb2 solutions at different pH and cosolute conditions by analyzing structure factors (Seff(q)) from small-angle X-ray scattering (SAXS) using coarse-grained molecular dynamics simulations. Best fit simulations additionally provide cluster size distributions, fractal dimensions, cluster occluded volume, and mAb coordination numbers. These equilibrium properties are utilized in a model to account for increases in viscosity caused by occluded volume in the clusters (packing effects) and dissipation of stress across lubricated fractal clusters. Seff(q) is highly sensitive to K at 75 mg/mL where mAbs can mutually align to form SRA contacts but becomes less sensitive at 200 mg/mL as steric repulsion due to packing becomes dominant. In contrast, η at 200 mg/mL is highly sensitive to SRA and the average cluster size from SAXS/simulation, which is observed to track the cluster relaxation time from shear thinning. By analyzing the distribution of sub-bead hot spots on the 3D mAb surface, we identify a strongly attractive hydrophobic patch in the complementarity determining region (CDR) at pH 4.5 that contributes to the high K and consequently large cluster sizes and high η. Adding NaCl screens electrostatic interactions and increases the impact of hydrophobic attraction on cluster size and raises η, whereas nonspecific binding of Arg attenuates all SRA, reducing η. The hydrophobic patch is absent at higher pH values, leading to smaller K, smaller clusters, and lower η. This work constitutes a first attempt to use SAXS and CG modeling to link both structural and rheological properties of concentrated mAb solutions to the energetics of specific hydrophobic patches on mAb surfaces. As such, our work opens an avenue for future research, including the possibility of designing coarse-grained models with physically meaningful interacting hot spots.
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Affiliation(s)
- Amjad A Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Neha Manohar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Alfredo Lanzaro
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - William D Kimball
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Marta A Witek
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | | | - Ranajoy Majumdar
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | - Ken K Qian
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | - Shifeng Xu
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Richard E Gillilan
- Center for High Energy X-ray Sciences at CHESS, Cornell University, Ithaca, New York 14853, United States
| | - Qingqiu Huang
- Center for High Energy X-ray Sciences at CHESS, Cornell University, Ithaca, New York 14853, United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Keith P Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
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Chowdhury AA, Manohar N, Witek MA, Woldeyes MA, Majumdar R, Qian KK, Kimball WD, Xu S, Lanzaro A, Truskett TM, Johnston KP. Subclass Effects on Self-Association and Viscosity of Monoclonal Antibodies at High Concentrations. Mol Pharm 2023. [PMID: 37191356 DOI: 10.1021/acs.molpharmaceut.3c00023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
The effects of a subclass of monoclonal antibodies (mAbs) on protein-protein interactions, formation of reversible oligomers (clusters), and viscosity (η) are not well understood at high concentrations. Herein, we quantify a short-range anisotropic attraction between the complementarity-determining region (CDR) and CH3 domains (KCDR-CH3) for vedolizumab IgG1, IgG2, or IgG4 subclasses by fitting small-angle X-ray scattering (SAXS) structure factor Seff(q) data with an extensive library of 12-bead coarse-grained (CG) molecular dynamics simulations. The KCDR-CH3 bead attraction strength was isolated from the strength of long-range electrostatic repulsion for the full mAb, which was determined from the theoretical net charge and a scaling parameter ψ to account for solvent accessibility and ion pairing. At low ionic strength (IS), the strongest short-range attraction (KCDR-CH3) and consequently the largest clusters and highest η were observed with IgG1, the subclass with the most positively charged CH3 domain. Furthermore, the trend in KCDR-CH3 with the subclass followed the electrostatic interaction energy between the CDR and CH3 regions calculated with the BioLuminate software using the 3D mAb structure and molecular interaction potentials. Whereas the equilibrium cluster size distributions and fractal dimensions were determined from fits of SAXS with the MD simulations, the degree of cluster rigidity under flow was estimated from the experimental η with a phenomenological model. For the systems with the largest clusters, especially IgG1, the inefficient packing of mAbs in the clusters played the largest role in increasing η, whereas for other systems, the relative contribution from stress produced by the clusters was more significant. The ability to relate η to short-range attraction from SAXS measurements at high concentrations and to theoretical characterization of electrostatic patches on the 3D surface is not only of fundamental interest but also of practical value for mAb discovery, processing, formulation, and subcutaneous delivery.
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Affiliation(s)
- Amjad A Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Neha Manohar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Marta A Witek
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | | | - Ranajoy Majumdar
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | - Ken K Qian
- Eli Lilly and Company, Indianapolis, Indiana 46225, United States
| | - William D Kimball
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Shifeng Xu
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Alfredo Lanzaro
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Keith P Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
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Chowdhury A, Manohar N, Guruprasad G, Chen AT, Lanzaro A, Blanco M, Johnston KP, Truskett TM. Characterizing Experimental Monoclonal Antibody Interactions and Clustering Using a Coarse-Grained Simulation Library and a Viscosity Model. J Phys Chem B 2023; 127:1120-1137. [PMID: 36716270 DOI: 10.1021/acs.jpcb.2c07616] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Attractive protein-protein interactions in concentrated monoclonal antibody (mAb) solutions may lead to the formation of clusters that increase viscosity. Here, we propose an analytical model that relates mAb solution viscosity to clustering by accounting for the contributions of suboptimal mAb packing within a cluster and cluster fractal dimension. The influence of short-range, anisotropic attractions and long-range Coulombic repulsion on cluster properties is investigated by analyzing the cluster-size distributions, cluster fractal dimensions, radial distribution functions, and static structure factors from a library of coarse-grained molecular dynamics simulations. The library spans a vast range of mAb charges and attractive interactions in solutions of varying ionic strength. We present a framework for combining the viscosity model and simulation library to successfully characterize the attraction, repulsion, and clustering of an experimental mAb in three different pH and cosolute conditions by fitting the measured viscosity or structure factor from small-angle X-ray scattering. At low ionic strength, the cluster-size distribution is impacted by strong charges, and both the viscosity and net charge or structure factor and net charge must be considered to deconvolute the effects of short-range attraction and long-range repulsion.
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Affiliation(s)
- Amjad Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Neha Manohar
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Geetika Guruprasad
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Amy T Chen
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Alfredo Lanzaro
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Marco Blanco
- Analytical Enabling Capabilities, Analytical R&D, Merck & Co., Inc., Rahway, New Jersey07065, United States
| | - Keith P Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas78712, United States.,Department of Physics, The University of Texas at Austin, Austin, Texas78712, United States
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5
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Desai PG, Garidel P, Gbormittah FO, Kamen DE, Mills BJ, Narasimhan CN, Singh S, Stokes ESE, Walsh ER. An Intercompany Perspective on Practical Experiences of Predicting, Optimizing and Analyzing High Concentration Biologic Therapeutic Formulations. J Pharm Sci 2023; 112:359-369. [PMID: 36442683 DOI: 10.1016/j.xphs.2022.11.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/18/2022] [Accepted: 11/18/2022] [Indexed: 11/27/2022]
Abstract
Developing high-dose biologic drugs for subcutaneous injection often requires high-concentration formulations and optimizing viscosity, solubility, and stability while overcoming analytical, manufacturing, and administration challenges. To understand industry approaches for developing high-concentration formulations, the Formulation Workstream of the BioPhorum Development Group, an industry-wide consortium, conducted an inter-company collaborative exercise which included several surveys. This collaboration provided an industry perspective, experience, and insight into the practicalities for developing high-concentration biologics. To understand solubility and viscosity, companies desire predictive tools, but experience indicates that these are not reliable and experimental strategies are best. Similarly, most companies prefer accelerated and stress stability studies to in-silico or biophysical-based prediction methods to assess aggregation. In addition, optimization of primary container-closure and devices are pursued to mitigate challenges associated with high viscosity of the formulation. Formulation strategies including excipient selection and application of studies at low concentration to high-concentration formulations are reported. Finally, analytical approaches to high concentration formulations are presented. The survey suggests that although prediction of viscosity, solubility, and long-term stability is desirable, the outcome can be inconsistent and molecule dependent. Significant experimental studies are required to confirm robust product definition as modeling at low protein concentrations will not necessarily extrapolate to high concentration formulations.
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Affiliation(s)
- Preeti G Desai
- Bristol Myers Squibb, Sterile Product Development, 556 Morris Avenue, Summit, NJ 07901, USA
| | - Patrick Garidel
- Boehringer Ingelheim Pharma GmbH Co KG, Innovation Unit, PDB-TIP, 88397 Biberach an der Riss, Germany
| | - Francisca O Gbormittah
- GlaxoSmithKline, Strategic External Development, 1000 Winter Street North, Waltham, MA 02451, USA
| | - Douglas E Kamen
- Regeneron Pharmaceuticals Inc., Formulation Development, 777 Old Saw Mill River Road, Tarrytown, NY 10591, USA
| | - Brittney J Mills
- AbbVie, NBE Drug Product Development, 1 N Waukegan Road, North Chicago, IL 60064, USA
| | | | - Shubhadra Singh
- GlaxoSmithKline R&D, Biopharmaceutical Product Sciences, Collegeville, PA 19426, USA
| | - Elaine S E Stokes
- BioPhorum, The Gridiron Building, 1 Pancras Square, London N1C 4AG UK.
| | - Erika R Walsh
- Merck & Co., Inc., Sterile and Specialty Products, Rahway, NJ, USA
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6
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Blanco MA. Computational models for studying physical instabilities in high concentration biotherapeutic formulations. MAbs 2022; 14:2044744. [PMID: 35282775 PMCID: PMC8928847 DOI: 10.1080/19420862.2022.2044744] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Computational prediction of the behavior of concentrated protein solutions is particularly advantageous in early development stages of biotherapeutics when material availability is limited and a large set of formulation conditions needs to be explored. This review provides an overview of the different computational paradigms that have been successfully used in modeling undesirable physical behaviors of protein solutions with a particular emphasis on high-concentration drug formulations. This includes models ranging from all-atom simulations, coarse-grained representations to macro-scale mathematical descriptions used to study physical instability phenomena of protein solutions such as aggregation, elevated viscosity, and phase separation. These models are compared and summarized in the context of the physical processes and their underlying assumptions and limitations. A detailed analysis is also given for identifying protein interaction processes that are explicitly or implicitly considered in the different modeling approaches and particularly their relations to various formulation parameters. Lastly, many of the shortcomings of existing computational models are discussed, providing perspectives and possible directions toward an efficient computational framework for designing effective protein formulations.
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Affiliation(s)
- Marco A. Blanco
- Materials and Biophysical Characterization, Analytical R & D, Merck & Co., Inc, Kenilworth, NJ USA
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7
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Lai PK, Ghag G, Yu Y, Juan V, Fayadat-Dilman L, Trout BL. Differences in human IgG1 and IgG4 S228P monoclonal antibodies viscosity and self-interactions: Experimental assessment and computational predictions of domain interactions. MAbs 2021; 13:1991256. [PMID: 34747330 PMCID: PMC8583000 DOI: 10.1080/19420862.2021.1991256] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Human/humanized IgG4 antibodies have reduced effector function relative to IgG1 antibodies, which is desirable for certain therapeutic purposes. However, the developability and biophysical properties for IgG4 antibodies are not well understood. This work focuses on the head-to-head comparison of key biophysical properties, such as self-interaction and viscosity, for 14 human/humanized, and chimeric IgG1 and IgG4 S228P monoclonal antibody pairs that contain the identical variable regions. Experimental measurements showed that the IgG4 S228P antibodies have similar or higher self-interaction and viscosity than that of IgG1 antibodies in 20 mM sodium acetate, pH 5.5. We report sequence and structural drivers for the increased viscosity and self-interaction detected in IgG4 S228P antibodies through a combination of experimental data and computational models. Further, we applied and extended a previously established computational model for IgG1 antibodies to predict the self-interaction and viscosity behavior for each antibody pair, providing insight into the structural characteristics and differences of these two isotypes. Interestingly, we observed that the IgG4 S228P swapped variants, where the CH3 domain was swapped for that of an IgG1, showed reduced self-interaction behavior. These domain swapped IgG4 S228P molecules also showed reduced viscosity from experiment and coarse-grained simulations. We also observed that experimental diffusion interaction parameter (kD) values have a high correlation with computational diffusivity prediction for both IgG1 and IgG4 S228P isotypes. Abbreviations: AHc, constant region Hamaker constant; AHv, variable region Hamaker constant; CDRs, Complementarity-determining regions; CG, Coarse-grained model; CH1, Constant heavy chain 1; CH2 Constant heavy chain 2; CH3 Constant heavy chain 3; chgCH3 Effective charge on the CH3 region; CL Constant light chain; cP, Centipoise; DLS, Dynamic light scattering; Fab, Fragment antigen-binding; Fc, Fragment crystallizable; Fv, Variable domaing; (r) Radial distribution function; H1 CDR1 of Heavy Chain; H2 CDR2 of Heavy Chain; H3 CDR3 of Heavy Chain; HVI, High viscosity index; IgG1 human immunoglobulin of IgG1 subclass; IgG4 human immunoglobulin of IgG4 subclass; kD, Diffusion interaction parameter; L1 CDR1 of Light Chain; L2 CDR2 of Light Chain; L3 CDR3 of Light Chain; mAb, Monoclonal antibody; MD, Molecular dynamics; PPI Protein–protein interactions; SCM, Spatial charge map; UP-SEC, Ultra-high-performance size-exclusion chromatography; VH, Variable domain of Heavy Chain; VL, Variable domain of Light Chain
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Affiliation(s)
- Pin-Kuang Lai
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts USA.,Current Address: Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey USA
| | - Gaurav Ghag
- Merck & Co, Discovery Biologics, Protein Sciences Department, South San Francisco, CA , USA
| | - Yao Yu
- Merck & Co, Discovery Biologics, Protein Sciences Department, South San Francisco, CA , USA
| | - Veronica Juan
- Merck & Co, Discovery Biologics, Protein Sciences Department, South San Francisco, CA , USA
| | | | - Bernhardt L Trout
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts USA
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8
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A microfluidic approach to studying the injection flow of concentrated albumin solutions. SN APPLIED SCIENCES 2021; 3:783. [PMID: 34723096 PMCID: PMC8550001 DOI: 10.1007/s42452-021-04767-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 08/13/2021] [Indexed: 11/25/2022] Open
Abstract
Abstract Subcutaneous injection by means of prefilled syringes allows patients to self-administrate high-concentration (100 g/L or more) protein-based drugs. Although the shear flow of concentrated globulins or monoclonal antibodies has been intensively studied and related to the injection force proper of SC processes, very small attention has been paid to the extensional behavior of this category of complex fluids. This work focuses on the flow of concentrated bovine serum albumin (BSA) solutions through a microfluidic “syringe-on-chip” contraction device which shares some similarities with the geometry of syringes used in SC self-injection. By comparing the velocity and pressure measurements in complex flow with rheometric shear measurements obtained by means of the “Rheo-chip” device, it is shown that the extensional viscosity plays an important role in the injection process of protinaceous drugs. Article Highlights A microfluidic “syringe on chip” device mimicking the injection flow of protinaceous drugs has been developed. The velocity field of concentrated BSA solutions through the “syringe on chip” is Newtonian-like. The extensional viscosity of concentrated protein solutions should also be considered when computing injection forces through needles.
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9
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Roche A, Gentiluomo L, Sibanda N, Roessner D, Friess W, Trainoff SP, Curtis R. Towards an improved prediction of concentrated antibody solution viscosity using the Huggins coefficient. J Colloid Interface Sci 2021; 607:1813-1824. [PMID: 34624723 DOI: 10.1016/j.jcis.2021.08.191] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/28/2021] [Accepted: 08/29/2021] [Indexed: 01/12/2023]
Abstract
The viscosity of a monoclonal antibody solution must be monitored and controlled as it can adversely affect product processing, packaging and administration. Engineering low viscosity mAb formulations is challenging as prohibitive amounts of material are required for concentrated solution analysis, and it is difficult to predict viscosity from parameters obtained through low-volume, high-throughput measurements such as the interaction parameter, kD, and the second osmotic virial coefficient, B22. As a measure encompassing the effect of intermolecular interactions on dilute solution viscosity, the Huggins coefficient, kh, is a promising candidate as a parameter measureable at low concentrations, but indicative of concentrated solution viscosity. In this study, a differential viscometry technique is developed to measure the intrinsic viscosity, [η], and the Huggins coefficient, kh, of protein solutions. To understand the effect of colloidal protein-protein interactions on the viscosity of concentrated protein formulations, the viscometric parameters are compared to kD and B22 of two mAbs, tuning the contributions of repulsive and attractive forces to the net protein-protein interaction by adjusting solution pH and ionic strength. We find a strong correlation between the concentrated protein solution viscosity and the kh but this was not observed for the kD or the b22, which have been previously used as indicators of high concentration viscosity. Trends observed in [η] and kh values as a function of pH and ionic strength are rationalised in terms of protein-protein interactions.
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Affiliation(s)
- Aisling Roche
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, School of Chemical Engineering and Analytical Science, Manchester M1 7DN, UK; Currently at: National Institute for Biological Standards and Control, South Mimms, Potters Bar, Herts EN6 3QG, UK
| | - Lorenzo Gentiluomo
- Wyatt Technology Europe GmbH, Hochstrasse 18, 56307 Dernbach, Germany; Department of Pharmacy, Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität München, Butenandtstrasse 5, 81377 Munich, Germany; Currently at: Coriolis Pharma, Fraunhoferstraße 18B, 82152 Munich, Germany
| | - Nicole Sibanda
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, School of Chemical Engineering and Analytical Science, Manchester M1 7DN, UK
| | - Dierk Roessner
- Wyatt Technology Europe GmbH, Hochstrasse 18, 56307 Dernbach, Germany
| | - Wolfgang Friess
- Department of Pharmacy, Pharmaceutical Technology and Biopharmaceutics, Ludwig-Maximilians-Universität München, Butenandtstrasse 5, 81377 Munich, Germany
| | - Steven P Trainoff
- Wyatt Technology Corporation, 6330 Hollister Ave, Goleta, CA 93117, United States
| | - Robin Curtis
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, School of Chemical Engineering and Analytical Science, Manchester M1 7DN, UK.
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10
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Lanzaro A, Roche A, Sibanda N, Corbett D, Davis P, Shah M, Pathak JA, Uddin S, van der Walle CF, Yuan XF, Pluen A, Curtis R. Cluster Percolation Causes Shear Thinning Behavior in Concentrated Solutions of Monoclonal Antibodies. Mol Pharm 2021; 18:2669-2682. [PMID: 34121411 DOI: 10.1021/acs.molpharmaceut.1c00198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
High-concentration (>100 g/L) solutions of monoclonal antibodies (mAbs) are typically characterized by anomalously large solution viscosity and shear thinning behavior for strain rates ≥103 s-1. Here, the link between protein-protein interactions (PPIs) and the rheology of concentrated solutions of COE-03 and COE-19 mAbs is studied by means of static and dynamic light scattering and microfluidic rheometry. By comparing the experimental data with predictions based on the Baxter sticky hard-sphere model, we surprisingly find a connection between the observed shear thinning and the predicted percolation threshold. The longest shear relaxation time of mAbs was much larger than that of model sticky hard spheres within the same region of the phase diagram, which is attributed to the anisotropy of the mAb PPIs. Our results suggest that not only the strength but also the patchiness of short-range attractive PPIs should be explicitly accounted for by theoretical approaches aimed at predicting the shear rate-dependent viscosity of dense mAb solutions.
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Affiliation(s)
- Alfredo Lanzaro
- Institute for Systems Rheology, Guangzhou University, No. 230 West Outer Ring Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Aisling Roche
- School of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, United Kingdom
| | - Nicole Sibanda
- School of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, United Kingdom
| | - Daniel Corbett
- School of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, United Kingdom
| | - Peter Davis
- Department of Molecular Biology and Biotechnology, University of Sheffield UK, Sheffield S10 2TN, United Kingdom
| | - Maryam Shah
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom
| | - Jai A Pathak
- Dosage Form Design and Development, Biopharmaceuticals Development, R&D, AstraZeneca, Cambridge CB21 6GH, United Kingdom
| | - Shahid Uddin
- Dosage Form Design and Development, Biopharmaceuticals Development, R&D, AstraZeneca, Cambridge CB21 6GH, United Kingdom
| | - Christopher F van der Walle
- Dosage Form Design and Development, Biopharmaceuticals Development, R&D, AstraZeneca, Cambridge CB21 6GH, United Kingdom
| | - Xue-Feng Yuan
- Institute for Systems Rheology, Guangzhou University, No. 230 West Outer Ring Road, Guangzhou Higher Education Mega Center, Guangzhou 510006, China
| | - Alain Pluen
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom
| | - Robin Curtis
- School of Chemical Engineering and Analytical Science, Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, United Kingdom
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11
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Phillips D, Schürch CM, Khodadoust MS, Kim YH, Nolan GP, Jiang S. Highly Multiplexed Phenotyping of Immunoregulatory Proteins in the Tumor Microenvironment by CODEX Tissue Imaging. Front Immunol 2021; 12:687673. [PMID: 34093591 PMCID: PMC8170307 DOI: 10.3389/fimmu.2021.687673] [Citation(s) in RCA: 55] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 04/27/2021] [Indexed: 01/26/2023] Open
Abstract
Immunotherapies are revolutionizing cancer treatment by boosting the natural ability of the immune system. In addition to antibodies against traditional checkpoint molecules or their ligands (i.e., CTLA-4, PD-1, and PD-L1), therapies targeting molecules such as ICOS, IDO-1, LAG-3, OX40, TIM-3, and VISTA are currently in clinical trials. To better inform clinical care and the design of therapeutic combination strategies, the co-expression of immunoregulatory proteins on individual immune cells within the tumor microenvironment must be robustly characterized. Highly multiplexed tissue imaging platforms, such as CO-Detection by indEXing (CODEX), are primed to meet this need by enabling >50 markers to be simultaneously analyzed in single-cells on formalin-fixed paraffin-embedded (FFPE) tissue sections. Assembly and validation of antibody panels is particularly challenging, with respect to the specificity of antigen detection and robustness of signal over background. Herein, we report the design, development, optimization, and application of a 56-marker CODEX antibody panel to eight cutaneous T cell lymphoma (CTCL) patient samples. This panel is comprised of structural, tumor, and immune cell markers, including eight immunoregulatory proteins that are approved or currently undergoing clinical trials as immunotherapy targets. Here we provide a resource to enable extensive high-dimensional, spatially resolved characterization of the tissue microenvironment across tumor types and imaging modalities. This framework provides researchers with a readily applicable blueprint to study tumor immunology, tissue architecture, and enable mechanistic insights into immunotherapeutic targets.
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Affiliation(s)
- Darci Phillips
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, United States
| | - Christian M. Schürch
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
- Department of Pathology and Neuropathology, University Hospital and Comprehensive Cancer Center Tübingen, Tübingen, Germany
| | - Michael S. Khodadoust
- Division of Oncology, Stanford University School of Medicine, Stanford, CA, United States
| | - Youn H. Kim
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, United States
- Division of Oncology, Stanford University School of Medicine, Stanford, CA, United States
| | - Garry P. Nolan
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
| | - Sizun Jiang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, United States
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12
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Gruebele M. Protein folding and surface interaction phase diagrams in vitro and in cells. FEBS Lett 2021; 595:1267-1274. [PMID: 33576021 DOI: 10.1002/1873-3468.14058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 02/07/2021] [Accepted: 02/08/2021] [Indexed: 11/11/2022]
Abstract
Protein stability is subject to environmental perturbations such as pressure and crowding, as well as sticking to other macromolecules and quinary structure. Thus, the environment inside and outside the cell plays a key role in how proteins fold, interact, and function on the scale from a few molecules to macroscopic ensembles. This review discusses three aspects of protein phase diagrams: first, the relevance of phase diagrams to protein folding and function in vitro and in cells; next, how the evolution of protein surfaces impacts on interaction phase diagrams; and finally, how phase separation plays a role on much larger length-scales than individual proteins or oligomers, when liquid phase-separated regions form to assist protein function and cell homeostasis.
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Affiliation(s)
- Martin Gruebele
- Department of Chemistry and Physics, Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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13
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Rodrigues D, Tanenbaum LM, Thirumangalathu R, Somani S, Zhang K, Kumar V, Amin K, Thakkar SV. Product-Specific Impact of Viscosity Modulating Formulation Excipients During Ultra-High Concentration Biotherapeutics Drug Product Development. J Pharm Sci 2020; 110:1077-1082. [PMID: 33340533 DOI: 10.1016/j.xphs.2020.12.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/16/2020] [Accepted: 12/14/2020] [Indexed: 12/16/2022]
Abstract
Developing ultra-high concentration biotherapeutics drug products can be challenging due to increased viscosity, processing, and stability issues. Excipients used to alleviate these concerns are traditionally evaluated at lower protein concentrations. This study investigates whether classically known modulators of stability and viscosity at low (<50 mg/mL) to high (>50 - 150 mg/mL) protein concentrations are beneficial in ultra-high (>150 mg/mL) concentration protein formulations and drug products. This study evaluates the effect of arginine monohydrochloride, proline, and lysine monohydrochloride on viscosity and concentratability at different high and ultra-high protein concentrations using a monoclonal antibody, mAbN, formulation as a candidate protein system. The effect of excipients on the viscosity and concentratability (rate and extent) was different at high versus ultra-high protein concentrations. These results highlight that classical excipients in literature known to modulate protein interactions at low protein concentrations and reduce viscosity at high protein concentrations may need to be evaluated at target protein concentrations in a product-specific manner while developing ultra-high concentration biologics drug products.
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Affiliation(s)
- Danika Rodrigues
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Laura M Tanenbaum
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Renuka Thirumangalathu
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Sandeep Somani
- Discovery Sciences, Janssen Research and Development (Janssen R&D), Spring House, Pennsylvania 19477
| | - Kai Zhang
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Vineet Kumar
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Ketan Amin
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355
| | - Santosh V Thakkar
- BioTherapeutics Drug Product Development (BioTD DPD), Janssen Research and Development (Janssen R&D), Malvern, Pennsylvania 19355; BioTherapeutics Cell and Developability Sciences (BioTD CDS), Janssen Research and Development (Janssen R&D), Spring House, Pennsylvania 19477.
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14
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Woldeyes MA, Qi W, Razinkov VI, Furst EM, Roberts CJ. Temperature Dependence of Protein Solution Viscosity and Protein-Protein Interactions: Insights into the Origins of High-Viscosity Protein Solutions. Mol Pharm 2020; 17:4473-4482. [PMID: 33170708 DOI: 10.1021/acs.molpharmaceut.0c00552] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Protein solution viscosity (η) as a function of temperature was measured at a series of protein concentrations under a range of formulation conditions for two monoclonal antibodies (MAbs) and a globular protein (aCgn). Based on theoretical arguments, a strong temperature dependence for protein-protein interactions (PPI) indicates highly anisotropic, short-ranged attractions that could lead to higher solution viscosities. The semi-empirical Ross-Minton model was used to determine the apparent intrinsic viscosity, shape, and "crowding" factors for each protein as a function of temperature and formulation conditions. The apparent intrinsic viscosity was independent of temperature for aCgn, while a slight decrease with increasing temperature was observed for the MAbs. The temperature dependence of solution viscosity was analyzed using the Andrade-Eyring equation to determine the effective activation energy of viscous flow (Ea,η). While Ea,η values were different for each protein, they were independent of formulation conditions for a given protein. PPI were quantified via the osmotic second virial coefficient (B22) and the protein diffusion interaction parameter (kD) as a function of temperature under the same formulation conditions as the viscosity measurements. Net interactions ranged from strongly attractive to repulsive by changing formulation pH and ionic strength for each protein. Overall, larger activation energies for PPI corresponded to larger activation energies for η, and those were predictive of the highest η values at higher protein concentrations.
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Affiliation(s)
- Mahlet A Woldeyes
- Department of Chemical & Biomolecular Engineering, University of Delaware, Newark, Delaware 19716, United States
| | - Wei Qi
- Drug Product Development, Amgen Inc., Thousand Oaks, California 91320, United States
| | - Vladimir I Razinkov
- Drug Product Development, Amgen Inc., Thousand Oaks, California 91320, United States
| | - Eric M Furst
- 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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15
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Holloway L, Roche A, Marzouk S, Uddin S, Ke P, Ekizoglou S, Curtis R. Determination of Protein-Protein Interactions at High Co-Solvent Concentrations Using Static and Dynamic Light Scattering. J Pharm Sci 2020; 109:2699-2709. [DOI: 10.1016/j.xphs.2020.05.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 04/07/2020] [Accepted: 05/18/2020] [Indexed: 01/21/2023]
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16
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Holstein M, Hung J, Feroz H, Ranjan S, Du C, Ghose S, Li ZJ. Strategies for high‐concentration drug substance manufacturing to facilitate subcutaneous administration: A review. Biotechnol Bioeng 2020; 117:3591-3606. [DOI: 10.1002/bit.27510] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/17/2020] [Accepted: 07/18/2020] [Indexed: 12/27/2022]
Affiliation(s)
- Melissa Holstein
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Jessica Hung
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Hasin Feroz
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Swarnim Ranjan
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Cheng Du
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Sanchayita Ghose
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
| | - Zheng Jian Li
- Biologics Process Development, Global Product Development and Supply Bristol‐Myers Squibb Co. Devens Massachusetts
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17
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Chowdhury A, Bollinger JA, Dear BJ, Cheung JK, Johnston KP, Truskett TM. Coarse-Grained Molecular Dynamics Simulations for Understanding the Impact of Short-Range Anisotropic Attractions on Structure and Viscosity of Concentrated Monoclonal Antibody Solutions. Mol Pharm 2020; 17:1748-1756. [PMID: 32101441 DOI: 10.1021/acs.molpharmaceut.9b00960] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Understanding protein-protein interactions in concentrated therapeutic monoclonal antibody (mAb) solutions is desirable for improved drug discovery, processing, and administration. Here, we deduce both the net protein charge and the magnitude and geometry of short-ranged, anisotropic attractions of a mAb across multiple concentrations and cosolute conditions by comparing structure factors S(q) obtained from small-angle X-ray scattering experiments with those from molecular dynamics (MD) simulations. The simulations, which utilize coarse-grained 12-bead models exhibiting a uniform van der Waals attraction, uniform electrostatic repulsion, and short-range attractions between specific beads, are versatile enough to fit S(q) of a wide range of protein concentrations and ionic strength with the same charge on each bead and a single anisotropic short-range attraction strength. Cluster size distributions (CSDs) obtained from best fit simulations reveal that the experimental structure is consistent with small reversible oligomers in even low viscosity systems and help quantify the impact of these clusters on viscosity. The ability to systematically use experimental S(q) data together with MD simulations to discriminate between different possible protein-protein interactions, as well as to predict viscosities from protein CSDs, is beneficial for designing mAbs and developing formulation strategies that avoid high viscosities and aggregation at high concentration.
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Affiliation(s)
- Amjad Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States.,Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jonathan A Bollinger
- Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States
| | - Barton J Dear
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States.,Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jason K Cheung
- Pharmaceutical Sciences, MRL, Merck & Co., Inc., Rahway, New Jersey 07065, United States
| | - Keith P Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States.,Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States.,Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States
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18
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Chowdhury A, Guruprasad G, Chen AT, Karouta CA, Blanco MA, Truskett TM, Johnston KP. Protein-Protein Interactions, Clustering, and Rheology for Bovine IgG up to High Concentrations Characterized by Small Angle X-Ray Scattering and Molecular Dynamics Simulations. J Pharm Sci 2020; 109:696-708. [DOI: 10.1016/j.xphs.2019.11.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 10/18/2019] [Accepted: 11/01/2019] [Indexed: 01/23/2023]
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19
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Law-Hine D, Rudiuk S, Bonestebe A, Ienco R, Huille S, Tribet C. Distinctive Low-Resolution Structural Features of Dimers of Antibody-Drug Conjugates and Parent Antibody Determined by Small-Angle X-ray Scattering. Mol Pharm 2019; 16:4902-4912. [PMID: 31618040 DOI: 10.1021/acs.molpharmaceut.9b00792] [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: 11/28/2022]
Abstract
Structural features of lysine-conjugated antibody-drug conjugate (ADC) from humanized IgG1 were studied by small-angle X-ray scattering (SAXS). As the physicochemical properties of the cytotoxic drug (payload) and linker may impact the conformational and colloidal stabilities of the conjugated monoclonal antibody (mAb), it is essential to characterize how the conjugation may affect the overall higher order structure and therefore the physical stability and integrity of the ADCs upon storage conditions. Here, the ADC monomer and aggregates generated upon thermal stress were analyzed by high performance liquid chromatography coupled to SAXS with a particular focus on the fraction of dimers (3-10% depending on the storage conditions at 25 and 40 °C). In addition to average parameters such as radius of gyration, molecular weight, and maximal end-to-end distance, the structural information obtained from SAXS patterns were visualized as a low-resolution average envelope of both monomers and dimers (implementation of two methods: ab initio reconstruction and modeling Fab and Fc as rigid bodies with a flexible hinge). We showed that the monomer envelope of the ADC was similar to the corresponding (nonconjugated) parent monoclonal antibody (mAb). ADC dimers appeared more compact and less polydisperse than the dimers of mAb, which was also confirmed by atomic force microscopy. The generated envelopes of the mAb dimers suggest elongated structures with one or few inter-mAb contacts at the outermost region of Fab or Fc domains. The structural features of ADC dimers are independent of the tested pH buffering system (pH 5.0/acetate and pH 6.0/histidine with or without NaCl) and characterized by multiple, tighter contacts between the Fab and Fc domains and distortion of the monomer native shape. Results from the SAXS structural study show in the present case that conjugation has favored innermost inter-ADC contacts in the dimer, which differ from the inter-mAb ones. In general, it is likely that many parameters affect inter-ADC association, including the chemical nature of linkers and drugs, degree of conjugation, conjugation sites, etc. Making a qualitative difference between mAb and ADC dimers as a function of these parameters can help point to the presence of tight associations that must be abolished in protein drug formulations.
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Affiliation(s)
- Didier Law-Hine
- Département de Chimie, PASTEUR, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, Paris 75005, France
| | - Sergii Rudiuk
- Département de Chimie, PASTEUR, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, Paris 75005, France
| | - Audrey Bonestebe
- Biologics Formulation & Process Development, Biologics Development, SANOFI R&D, 13 quai Jules Guesde- BP 14, Vitry-sur-Seine 94403, France
| | - Romain Ienco
- Biologics Formulation & Process Development, Biologics Development, SANOFI R&D, 13 quai Jules Guesde- BP 14, Vitry-sur-Seine 94403, France
| | - Sylvain Huille
- Biologics Formulation & Process Development, Biologics Development, SANOFI R&D, 13 quai Jules Guesde- BP 14, Vitry-sur-Seine 94403, France
| | - Christophe Tribet
- Département de Chimie, PASTEUR, École Normale Supérieure, PSL University, Sorbonne Université, CNRS, Paris 75005, France
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20
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Singh P, Roche A, van der Walle CF, Uddin S, Du J, Warwicker J, Pluen A, Curtis R. Determination of Protein-Protein Interactions in a Mixture of Two Monoclonal Antibodies. Mol Pharm 2019; 16:4775-4786. [PMID: 31613625 DOI: 10.1021/acs.molpharmaceut.9b00430] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The coformulation of monoclonal antibody (mAb) mixtures provides an attractive route to achieving therapeutic efficacy where the targeting of multiple epitopes is necessary. Controlling and predicting the behavior of such mixtures requires elucidating the molecular basis for the self- and cross-protein-protein interactions and how they depend on solution variables. While self-interactions are now beginning to be well understood, systematic studies of cross-interactions between mAbs in solution do not exist. Here, we have used static light scattering to measure the set of self- and cross-osmotic second virial coefficients in a solution containing a mixture of two mAbs, mAbA and mAbB, as a function of ionic strength and pH. mAbB exhibits strong association at a low ionic strength, which is attributed to an electrostatic attraction that is enhanced by the presence of a strong short-ranged attraction of nonelectrostatic origin. Under all solution conditions, the measured cross-interactions are intermediate self-interactions and follow similar patterns of behavior. There is a strong electrostatic attraction at higher pH values, reflecting the behavior of mAbB. Protein-protein interactions become more attractive with an increasing pH due to reducing the overall protein net charges, an effect that is attenuated with an increasing ionic strength due to the screening of electrostatic interactions. Under moderate ionic strength conditions, the reduced cross-virial coefficient, which reflects only the energetic contribution to protein-protein interactions, is given by a geometric average of the corresponding self-coefficients. We show the relationship can be rationalized using a patchy sphere model, where the interaction energy between sites i and j is given by the arithmetic mean of the i-i and j-j interactions. The geometric mean does not necessarily apply to all mAb mixtures and is expected to break down at a lower ionic strength due to the nonadditivity of electrostatic interactions.
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Affiliation(s)
- Priyanka Singh
- Manchester Pharmacy School , University of Manchester , Manchester M13 9PL , United Kingdom
| | - Aisling Roche
- School of Chemical Engineering and Analytical Science , University of Manchester , Manchester M1 7DN , United Kingdom
| | - Christopher F van der Walle
- School of Chemical Engineering and Analytical Science , University of Manchester , Manchester M1 7DN , United Kingdom.,Dosage Form Design & Development , AstraZeneca , Granta Park , Cambridge CB21 6GH , United Kingdom
| | - Shahid Uddin
- Formulation Sciences CMC , Immunocore , Milton Park , Abingdon OX14 4RW , United Kingdom
| | - Jiali Du
- Dosage Form Design & Development , AstraZeneca , Gaithersburg MD20878 , United States
| | - Jim Warwicker
- School of Chemistry , University of Manchester , Manchester M1 7DN , United Kingdom
| | - Alain Pluen
- Manchester Pharmacy School , University of Manchester , Manchester M13 9PL , United Kingdom
| | - Robin Curtis
- School of Chemical Engineering and Analytical Science , University of Manchester , Manchester M1 7DN , United Kingdom
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21
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Qualifying antibodies for image-based immune profiling and multiplexed tissue imaging. Nat Protoc 2019; 14:2900-2930. [PMID: 31534232 DOI: 10.1038/s41596-019-0206-y] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 06/03/2019] [Indexed: 12/27/2022]
Abstract
Multiplexed tissue imaging enables precise, spatially resolved enumeration and characterization of cell types and states in human resection specimens. A growing number of methods applicable to formalin-fixed, paraffin-embedded (FFPE) tissue sections have been described, the majority of which rely on antibodies for antigen detection and mapping. This protocol provides step-by-step procedures for confirming the selectivity and specificity of antibodies used in fluorescence-based tissue imaging and for the construction and validation of antibody panels. Although the protocol is implemented using tissue-based cyclic immunofluorescence (t-CyCIF) as an imaging platform, these antibody-testing methods are broadly applicable. We demonstrate assembly of a 16-antibody panel for enumerating and localizing T cells and B cells, macrophages, and cells expressing immune checkpoint regulators. The protocol is accessible to individuals with experience in microscopy and immunofluorescence; some experience in computation is required for data analysis. A typical 30-antibody dataset for 20 FFPE slides can be generated within 2 weeks.
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22
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Xu AY, Castellanos MM, Mattison K, Krueger S, Curtis JE. Studying Excipient Modulated Physical Stability and Viscosity of Monoclonal Antibody Formulations Using Small-Angle Scattering. Mol Pharm 2019; 16:4319-4338. [DOI: 10.1021/acs.molpharmaceut.9b00687] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Amy Yuanyuan Xu
- NIST Center for Neutron Research, National Institute of Standards and Technology, 100 Bureau Drive, Mail Stop 6102, Gaithersburg, Maryland 20899, United States
- Institute for Bioscience and Biotechnology Research, University of Maryland, 9600 Gudelsky Drive, Rockville, Maryland 20850, United States
| | - Maria Monica Castellanos
- NIST Center for Neutron Research, National Institute of Standards and Technology, 100 Bureau Drive, Mail Stop 6102, Gaithersburg, Maryland 20899, United States
- Institute for Bioscience and Biotechnology Research, University of Maryland, 9600 Gudelsky Drive, Rockville, Maryland 20850, United States
| | - Kevin Mattison
- Malvern Panalytical, 117 Flanders Road, Westborough, Massachusetts 01581, United States
| | - Susan Krueger
- NIST Center for Neutron Research, National Institute of Standards and Technology, 100 Bureau Drive, Mail Stop 6102, Gaithersburg, Maryland 20899, United States
| | - Joseph E. Curtis
- NIST Center for Neutron Research, National Institute of Standards and Technology, 100 Bureau Drive, Mail Stop 6102, Gaithersburg, Maryland 20899, United States
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23
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Dear BJ, Chowdhury A, Hung JJ, Karouta CA, Ramachandran K, Nieto MP, Wilks LR, Sharma A, Shay TY, Cheung JK, Truskett TM, Johnston KP. Relating Collective Diffusion, Protein–Protein Interactions, and Viscosity of Highly Concentrated Monoclonal Antibodies through Dynamic Light Scattering. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b03432] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Barton J. Dear
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Amjad Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jessica J. Hung
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Carl A. Karouta
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Kishan Ramachandran
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Maria P. Nieto
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Logan R. Wilks
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Ayush Sharma
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Tony Y. Shay
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jason K. Cheung
- Biophysical and Biochemical Characterization, Sterile Formulation Sciences, Merck & Co., Inc., Kenilworth, New Jersey 07033, United States
| | - Thomas M. Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Keith P. Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
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24
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Hung JJ, Zeno WF, Chowdhury AA, Dear BJ, Ramachandran K, Nieto MP, Shay TY, Karouta CA, Hayden CC, Cheung JK, Truskett TM, Stachowiak JC, Johnston KP. Self-diffusion of a highly concentrated monoclonal antibody by fluorescence correlation spectroscopy: insight into protein-protein interactions and self-association. SOFT MATTER 2019; 15:6660-6676. [PMID: 31389467 DOI: 10.1039/c9sm01071h] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
The dynamic behavior of monoclonal antibodies (mAbs) at high concentration provides insight into protein microstructure and protein-protein interactions (PPI) that influence solution viscosity and protein stability. At high concentration, interpretation of the collective-diffusion coefficient Dc, as determined by dynamic light scattering (DLS), is highly challenging given the complex hydrodynamics and PPI at close spacings. In contrast, self-diffusion of a tracer particle by Brownian motion is simpler to understand. Herein, we develop fluorescence correlation spectroscopy (FCS) for the measurement of the long-time self-diffusion of mAb2 over a wide range of concentrations and viscosities in multiple co-solute formulations with varying PPI. The normalized self-diffusion coefficient D0/Ds (equal to the microscopic relative viscosity ηeff/η0) was found to be smaller than η/η0. Smaller ratios of the microscopic to macroscopic viscosity (ηeff/η) are attributed to a combination of weaker PPI and less self-association. The interaction parameters extracted from fits of D0/Ds with a length scale dependent viscosity model agree with previous measurements of PPI by SLS and SAXS. Trends in the degree of self-association, estimated from ηeff/η with a microviscosity model, are consistent with oligomer sizes measured by SLS. Finally, measurements of collective diffusion and osmotic compressibility were combined with FCS data to demonstrate that the changes in self-diffusion between formulations are due primarily to changes in the protein-protein friction in these systems, and not to protein-solvent friction. Thus, FCS is a robust and accessible technique for measuring mAb self-diffusion, and, by extension, microviscosity, PPI and self-association that govern mAb solution dynamics.
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Affiliation(s)
- Jessica J Hung
- McKetta Department of Chemical Engineering, The University of Texas at Austin, 200 E Dean Keeton St Stop C0400, Austin, TX 78712, USA.
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Dear BJ, Bollinger JA, Chowdhury A, Hung JJ, Wilks LR, Karouta CA, Ramachandran K, Shay TY, Nieto MP, Sharma A, Cheung JK, Nykypanchuk D, Godfrin PD, Johnston KP, Truskett TM. X-ray Scattering and Coarse-Grained Simulations for Clustering and Interactions of Monoclonal Antibodies at High Concentrations. J Phys Chem B 2019; 123:5274-5290. [DOI: 10.1021/acs.jpcb.9b04478] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Barton J. Dear
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jonathan A. Bollinger
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico 87185, United States
| | - Amjad Chowdhury
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jessica J. Hung
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Logan R. Wilks
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Carl A. Karouta
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Kishan Ramachandran
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Tony Y. Shay
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Maria P. Nieto
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Ayush Sharma
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Jason K. Cheung
- Biophysical and Biochemical Characterization, Sterile Formulation Sciences, Merck & Co., Inc., Kenilworth, New Jersey 07033 United States
| | - Dmytro Nykypanchuk
- Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, United States
| | - P. Douglas Godfrin
- Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Keith P. Johnston
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Thomas M. Truskett
- McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Department of Physics, The University of Texas at Austin, Austin, Texas 78712, United States
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Krause ME, Sahin E. Chemical and physical instabilities in manufacturing and storage of therapeutic proteins. Curr Opin Biotechnol 2019; 60:159-167. [PMID: 30861476 DOI: 10.1016/j.copbio.2019.01.014] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 11/02/2018] [Accepted: 01/21/2019] [Indexed: 12/13/2022]
Abstract
Development of a robust biologic drug product is accomplished by extensive formulation and process development screening studies; however, even in the most optimal formulation, a protein can undergo spontaneous degradation during manufacture, storage, and clinical use. Chemical changes to amino acid residues, such as oxidation of methionine or tryptophan, or changes in charge such as deamidation or carbonylation, can induce conformational changes in the overall protein structure, potentially leading to changes in physical - in addition to chemical - stability. Oxidation is often caused by light exposure or the presence of metal ions or peroxides. Asparagine deamidation is more likely to occur at higher pH and/or elevated temperature. Mechanical and interfacial stresses during manufacturing can lead to physical instabilities (i.e. various forms of aggregation). A well-defined manufacturing process and effective in-process controls are essential in minimizing chemical and physical instabilities, enabling robust production and distribution of a safe and efficacious drug product. In this work, the authors provide a review of developments in these areas over the past two years, with emphasis on manufacturability of therapeutically relevant proteins and protein-based drug products.
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Affiliation(s)
- Mary E Krause
- Drug Product Science and Technology, Bristol-Myers Squibb Company, One Squibb Drive, New Brunswick, NJ 08903, United States.
| | - Erinc Sahin
- Drug Product Science and Technology, Bristol-Myers Squibb Company, One Squibb Drive, New Brunswick, NJ 08903, United States
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Hung JJ, Dear BJ, Karouta CA, Chowdhury AA, Godfrin PD, Bollinger JA, Nieto MP, Wilks LR, Shay TY, Ramachandran K, Sharma A, Cheung JK, Truskett TM, Johnston KP. Protein-Protein Interactions of Highly Concentrated Monoclonal Antibody Solutions via Static Light Scattering and Influence on the Viscosity. J Phys Chem B 2019; 123:739-755. [PMID: 30614707 DOI: 10.1021/acs.jpcb.8b09527] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The ability to design and formulate mAbs to minimize attractive interactions at high concentrations is important for protein processing, stability, and administration, particularly in subcutaneous delivery, where high viscosities are often challenging. The strength of protein-protein interactions (PPIs) of an IgG1 and IgG4 monoclonal antibody (mAb) from low to high concentration was determined by static light scattering (SLS) and used to understand viscosity data. The PPI were tuned using NaCl and five organic ionic co-solutes. The PPI strength was quantified by the normalized structure factor S(0)/ S(0)HS and Kirkwood-Buff integral G22/ G22,HS (HS = hard sphere) determined from the SLS data and also by fits with (1) a spherical Yukawa potential and (2) an interacting hard sphere (IHS) model, which describes attraction in terms of hypothetical oligomers. The IHS model was better able to capture the scattering behavior of the more strongly interacting systems (mAb and/or co-solute) than the spherical Yukawa potential. For each descriptor of PPI, linear correlations were obtained between the viscosity at high concentration (200 mg/mL) and the interaction strengths evaluated both at low (20 mg/mL) and high concentrations (200 mg/mL) for a given mAb. However, the only parameter that provided a correlation across both mAbs was the oligomer mass ratio ( moligomer/ mmonomer+dimer) from the IHS model, indicating the importance of self-association (in addition to the direct influence of the attractive PPI) on the viscosity.
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Affiliation(s)
- Jessica J Hung
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Barton J Dear
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Carl A Karouta
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Amjad A Chowdhury
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - P Douglas Godfrin
- Department of Chemical Engineering , Massachusetts Institute of Technology , Cambridge , Massachusetts 02139 , United States
| | - Jonathan A Bollinger
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States.,Center for Integrated Nanotechnologies , Sandia National Laboratories , Albuquerque , New Mexico 87185 , United States
| | - Maria P Nieto
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Logan R Wilks
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Tony Y Shay
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Kishan Ramachandran
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Ayush Sharma
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Jason K Cheung
- Pharmaceutical Sciences , MRL, Merck & Co., Inc. , Kenilworth , New Jersey 07033 , United States
| | - Thomas M Truskett
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Keith P Johnston
- McKetta Department of Chemical Engineering , The University of Texas at Austin , Austin , Texas 78712 , United States
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Lin JR, Izar B, Wang S, Yapp C, Mei S, Shah PM, Santagata S, Sorger PK. Highly multiplexed immunofluorescence imaging of human tissues and tumors using t-CyCIF and conventional optical microscopes. eLife 2018; 7:e31657. [PMID: 29993362 PMCID: PMC6075866 DOI: 10.7554/elife.31657] [Citation(s) in RCA: 359] [Impact Index Per Article: 59.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 06/29/2018] [Indexed: 12/20/2022] Open
Abstract
The architecture of normal and diseased tissues strongly influences the development and progression of disease as well as responsiveness and resistance to therapy. We describe a tissue-based cyclic immunofluorescence (t-CyCIF) method for highly multiplexed immuno-fluorescence imaging of formalin-fixed, paraffin-embedded (FFPE) specimens mounted on glass slides, the most widely used specimens for histopathological diagnosis of cancer and other diseases. t-CyCIF generates up to 60-plex images using an iterative process (a cycle) in which conventional low-plex fluorescence images are repeatedly collected from the same sample and then assembled into a high-dimensional representation. t-CyCIF requires no specialized instruments or reagents and is compatible with super-resolution imaging; we demonstrate its application to quantifying signal transduction cascades, tumor antigens and immune markers in diverse tissues and tumors. The simplicity and adaptability of t-CyCIF makes it an effective method for pre-clinical and clinical research and a natural complement to single-cell genomics.
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Affiliation(s)
- Jia-Ren Lin
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Ludwig Center for Cancer Research at HarvardHarvard Medical SchoolBostonUnited States
| | - Benjamin Izar
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Ludwig Center for Cancer Research at HarvardHarvard Medical SchoolBostonUnited States
- Department of Medical OncologyDana-Farber Cancer InstituteBostonUnited States
- Broad Institute of MIT and HarvardCambridgeUnited States
| | - Shu Wang
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Harvard Graduate Program in BiophysicsHarvard UniversityCambridgeUnited States
| | - Clarence Yapp
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
| | - Shaolin Mei
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Department of Medical OncologyDana-Farber Cancer InstituteBostonUnited States
| | - Parin M Shah
- Department of Medical OncologyDana-Farber Cancer InstituteBostonUnited States
| | - Sandro Santagata
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Ludwig Center for Cancer Research at HarvardHarvard Medical SchoolBostonUnited States
- Department of PathologyBrigham and Women’s Hospital, Harvard Medical SchoolBostonUnited States
- Department of Oncologic PathologyDana-Farber Cancer InstituteBostonUnited States
| | - Peter K Sorger
- Laboratory of Systems PharmacologyHarvard Medical SchoolBostonUnited States
- Ludwig Center for Cancer Research at HarvardHarvard Medical SchoolBostonUnited States
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