Literature DB >> 25559441

Rational design of viscosity reducing mutants of a monoclonal antibody: hydrophobic versus electrostatic inter-molecular interactions.

Pilarin Nichols1, Li Li, Sandeep Kumar, Patrick M Buck, Satish K Singh, Sumit Goswami, Bryan Balthazor, Tami R Conley, David Sek, Martin J Allen.   

Abstract

High viscosity of monoclonal antibody formulations at concentrations ≥100 mg/mL can impede their development as products suitable for subcutaneous delivery. The effects of hydrophobic and electrostatic intermolecular interactions on the solution behavior of MAB 1, which becomes unacceptably viscous at high concentrations, was studied by testing 5 single point mutants. The mutations were designed to reduce viscosity by disrupting either an aggregation prone region (APR), which also participates in 2 hydrophobic surface patches, or a negatively charged surface patch in the variable region. The disruption of an APR that lies at the interface of light and heavy chain variable domains, VH and VL, via L45K mutation destabilized MAB 1 and abolished antigen binding. However, mutation at the preceding residue (V44K), which also lies in the same APR, increased apparent solubility and reduced viscosity of MAB 1 without sacrificing antigen binding or thermal stability. Neutralizing the negatively charged surface patch (E59Y) also increased apparent solubility and reduced viscosity of MAB 1, but charge reversal at the same position (E59K/R) caused destabilization, decreased solubility and led to difficulties in sample manipulation that precluded their viscosity measurements at high concentrations. Both V44K and E59Y mutations showed similar increase in apparent solubility. However, the viscosity profile of E59Y was considerably better than that of the V44K, providing evidence that inter-molecular interactions in MAB 1 are electrostatically driven. In conclusion, neutralizing negatively charged surface patches may be more beneficial toward reducing viscosity of highly concentrated antibody solutions than charge reversal or aggregation prone motif disruption.

Entities:  

Keywords:  APR, Aggregation Prone Region; ASA, Accessible Surface Area; ASAFv-HPH, hydrophilic accessible surface area of the Fv portion; ASAFv-HYD, hydrophobic accessible surface area of the Fv portion; CE, Capillary Electrophoresis; CH2; CH3, third constant domain in heavy chain; CHO, Chinese Hamster Ovary; D0, diffusion coefficient at infinite dilution; DFv, dipole moment of Fv; DLS, Dynamic Light Scattering; ELISA, Enzyme-Linked Immunosorbent Assay; Fab, fragment antigen binding; Fc, fragment crystallizable; Fv, fragment variable; HC, heavy chain; IgG, immunoglobulin G; LC, light chain; MAB 1 Control, MAB 1 expressed in CHO cells; MD, molecular dynamics; NTU, Nephelometric Turbidity Unit; PEG, polyethylene glycol; Pagg-VH, aggregation propensity of VH domain; Pagg-VL, aggregation propensity of VL domain; RPM, revolutions per minute; SE-HPLC, Size Exclusion High Performance Liquid Chromatography; Tm, thermal transition temperature; VH, variable domain in the heavy chain; VL, variable domain in the light chain; ZDHH, Debye-Huckel Henry Charge; ZFv, net charge of the Fv; ZFv-app, apparent charge of the Fv; aggregation prone regions; cIEF, capillary Isoelectric Focusing; cP, centipoise; high concentration; kD, protein-protein interaction parameter; mAb, monoclonal antibody; molecular modeling; monoclonal antibodies; negatively charged patches; rational design; second constant domain in the heavy chain; solubility; viscosity; ΔGFv, change in Free energy of Fv; η, solution viscosity; η0, solvent viscosity; ηrel, relative viscosity; ξFv, zeta-potential of the Fv

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Year:  2015        PMID: 25559441      PMCID: PMC4622976          DOI: 10.4161/19420862.2014.985504

Source DB:  PubMed          Journal:  MAbs        ISSN: 1942-0862            Impact factor:   5.857


  48 in total

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  34 in total

1.  Computational tool for the early screening of monoclonal antibodies for their viscosities.

Authors:  Neeraj J Agrawal; Bernhard Helk; Sandeep Kumar; Neil Mody; Hasige A Sathish; Hardeep S Samra; Patrick M Buck; Li Li; Bernhardt L Trout
Journal:  MAbs       Date:  2015-09-23       Impact factor: 5.857

2.  Stability engineering of anti-EGFR scFv antibodies by rational design of a lambda-to-kappa swap of the VL framework using a structure-guided approach.

Authors:  Andreas Lehmann; Josephine H F Wixted; Maxim V Shapovalov; Heinrich Roder; Roland L Dunbrack; Matthew K Robinson
Journal:  MAbs       Date:  2015-09-04       Impact factor: 5.857

Review 3.  Molecular basis of high viscosity in concentrated antibody solutions: Strategies for high concentration drug product development.

Authors:  Dheeraj S Tomar; Sandeep Kumar; Satish K Singh; Sumit Goswami; Li Li
Journal:  MAbs       Date:  2016-01-06       Impact factor: 5.857

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Review 5.  Structure, heterogeneity and developability assessment of therapeutic antibodies.

Authors:  Yingda Xu; Dongdong Wang; Bruce Mason; Tony Rossomando; Ning Li; Dingjiang Liu; Jason K Cheung; Wei Xu; Smita Raghava; Amit Katiyar; Christine Nowak; Tao Xiang; Diane D Dong; Joanne Sun; Alain Beck; Hongcheng Liu
Journal:  MAbs       Date:  2018-12-17       Impact factor: 5.857

6.  In-silico prediction of concentration-dependent viscosity curves for monoclonal antibody solutions.

Authors:  Dheeraj S Tomar; Li Li; Matthew P Broulidakis; Nicholas G Luksha; Christopher T Burns; Satish K Singh; Sandeep Kumar
Journal:  MAbs       Date:  2017-01-26       Impact factor: 5.857

7.  In Silico Prediction of Diffusion Interaction Parameter (kD), a Key Indicator of Antibody Solution Behaviors.

Authors:  Dheeraj S Tomar; Satish K Singh; Li Li; Matthew P Broulidakis; Sandeep Kumar
Journal:  Pharm Res       Date:  2018-08-20       Impact factor: 4.200

8.  Mitigation of reversible self-association and viscosity in a human IgG1 monoclonal antibody by rational, structure-guided Fv engineering.

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Journal:  MAbs       Date:  2016-04-06       Impact factor: 5.857

9.  Development of tibulizumab, a tetravalent bispecific antibody targeting BAFF and IL-17A for the treatment of autoimmune disease.

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Journal:  MAbs       Date:  2019-06-10       Impact factor: 5.857

10.  Multiscale Coarse-Grained Approach to Investigate Self-Association of Antibodies.

Authors:  Saeed Izadi; Thomas W Patapoff; Benjamin T Walters
Journal:  Biophys J       Date:  2020-04-29       Impact factor: 4.033

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