Literature DB >> 24906598

Concentration dependent viscosity of monoclonal antibody solutions: explaining experimental behavior in terms of molecular properties.

Li Li1, Sandeep Kumar, Patrick M Buck, Christopher Burns, Janelle Lavoie, Satish K Singh, Nicholas W Warne, Pilarin Nichols, Nicholas Luksha, Davin Boardman.   

Abstract

PURPOSE: Early identification of monoclonal antibody candidates whose development, as high concentration (≥100 mg/mL) drug products, could prove challenging, due to high viscosity, can help define strategies for candidate engineering and selection.
METHODS: Concentration dependent viscosities of 11 proprietary mAbs were measured. Sequence and structural features of the variable (Fv) regions were analyzed to understand viscosity behavior of the mAbs. Coarse-grained molecular simulations of two problematic mAbs were compared with that of a well behaved mAb.
RESULTS: Net charge, ξ-potential and pI of Fv regions were found to correlate with viscosities of highly concentrated antibody solutions. Negative net charges on the Fv regions of two mAbs with poor viscosity behaviors facilitate attractive self-associations, causing them to diffuse slower than a well-behaved mAb with positive net charge on its Fv region. An empirically derived equation that connects aggregation propensity and pI of the Fv region with high concentration viscosity of the whole mAb was developed.
CONCLUSIONS: An Fv region-based qualitative screening profile was devised to flag mAb candidates whose development, as high concentration drug products, could prove challenging. This screen can facilitate developability risk assessment and mitigation strategies for antibody based therapeutics via rapid high throughput material-free screening.

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Year:  2014        PMID: 24906598     DOI: 10.1007/s11095-014-1409-0

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  53 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Viscosity of concentrated therapeutic protein compositions.

Authors:  Jan Jezek; Martin Rides; Barry Derham; Jonathan Moore; Elenora Cerasoli; Robert Simler; Bernardo Perez-Ramirez
Journal:  Adv Drug Deliv Rev       Date:  2011-10       Impact factor: 15.470

3.  Potential aggregation-prone regions in complementarity-determining regions of antibodies and their contribution towards antigen recognition: a computational analysis.

Authors:  Xiaoling Wang; Satish K Singh; Sandeep Kumar
Journal:  Pharm Res       Date:  2010-04-27       Impact factor: 4.200

4.  Screening of monoclonal antibody formulations based on high-throughput thermostability and viscosity measurements: design of experiment and statistical analysis.

Authors:  Feng He; Christopher E Woods; Egor Trilisky; Keith M Bower; Jennifer R Litowski; Bruce A Kerwin; Gerald W Becker; Linda O Narhi; Vladimir I Razinkov
Journal:  J Pharm Sci       Date:  2010-11-02       Impact factor: 3.534

5.  Behavior of monoclonal antibodies: relation between the second virial coefficient (B (2)) at low concentrations and aggregation propensity and viscosity at high concentrations.

Authors:  Shuntaro Saito; Jun Hasegawa; Naoki Kobayashi; Naoyuki Kishi; Susumu Uchiyama; Kiichi Fukui
Journal:  Pharm Res       Date:  2011-08-19       Impact factor: 4.200

6.  Impact of deglycosylation and thermal stress on conformational stability of a full length murine IgG2a monoclonal antibody: observations from molecular dynamics simulations.

Authors:  Xiaoling Wang; Sandeep Kumar; Patrick M Buck; Satish K Singh
Journal:  Proteins       Date:  2012-11-12

7.  Viscosity of high concentration protein formulations of monoclonal antibodies of the IgG1 and IgG4 subclass - prediction of viscosity through protein-protein interaction measurements.

Authors:  Martin S Neergaard; Devendra S Kalonia; Henrik Parshad; Anders D Nielsen; Eva H Møller; Marco van de Weert
Journal:  Eur J Pharm Sci       Date:  2013-04-26       Impact factor: 4.384

8.  Three-dimensional structure of a light chain dimer crystallized in water. Conformational flexibility of a molecule in two crystal forms.

Authors:  K R Ely; J N Herron; M Harker; A B Edmundson
Journal:  J Mol Biol       Date:  1989-12-05       Impact factor: 5.469

9.  Selective and specific ion binding on proteins at physiologically-relevant concentrations.

Authors:  Linlin Miao; Haina Qin; Patrice Koehl; Jianxing Song
Journal:  FEBS Lett       Date:  2011-09-06       Impact factor: 4.124

10.  Graphical analysis of pH-dependent properties of proteins predicted using PROPKA.

Authors:  Michał Rostkowski; Mats H M Olsson; Chresten R Søndergaard; Jan H Jensen
Journal:  BMC Struct Biol       Date:  2011-01-26
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  35 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

Review 2.  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

3.  In silico selection of therapeutic antibodies for development: viscosity, clearance, and chemical stability.

Authors:  Vikas K Sharma; Thomas W Patapoff; Bruce Kabakoff; Satyan Pai; Eric Hilario; Boyan Zhang; Charlene Li; Oleg Borisov; Robert F Kelley; Ilya Chorny; Joe Z Zhou; Ken A Dill; Trevor E Swartz
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-15       Impact factor: 11.205

Review 4.  Advanced protein formulations.

Authors:  Wei Wang
Journal:  Protein Sci       Date:  2015-05-01       Impact factor: 6.725

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

Authors:  Pilarin Nichols; Li Li; Sandeep Kumar; Patrick M Buck; Satish K Singh; Sumit Goswami; Bryan Balthazor; Tami R Conley; David Sek; Martin J Allen
Journal:  MAbs       Date:  2015       Impact factor: 5.857

Review 6.  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

7.  In vitro and in silico assessment of the developability of a designed monoclonal antibody library.

Authors:  Adriana-Michelle Wolf Pérez; Pietro Sormanni; Jonathan Sonne Andersen; Laila Ismail Sakhnini; Ileana Rodriguez-Leon; Jais Rose Bjelke; Annette Juhl Gajhede; Leonardo De Maria; Daniel E Otzen; Michele Vendruscolo; Nikolai Lorenzen
Journal:  MAbs       Date:  2019-01-18       Impact factor: 5.857

8.  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

9.  Contrasting the Influence of Cationic Amino Acids on the Viscosity and Stability of a Highly Concentrated Monoclonal Antibody.

Authors:  Barton J Dear; Jessica J Hung; Thomas M Truskett; Keith P Johnston
Journal:  Pharm Res       Date:  2016-11-11       Impact factor: 4.200

10.  Challenges in Predicting Protein-Protein Interactions from Measurements of Molecular Diffusivity.

Authors:  Lea L Sorret; Madison A DeWinter; Daniel K Schwartz; Theodore W Randolph
Journal:  Biophys J       Date:  2016-11-01       Impact factor: 4.033

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