High Throughput Prediction Approach for Monoclonal Antibody Aggregation at High Concentration.

作者: Mitja Zidar , Ana Šušterič , Miha Ravnik , Drago Kuzman

DOI: 10.1007/S11095-017-2191-6

关键词: MonomerDenaturation (biochemistry)Monoclonal antibodyProtein aggregationSize-exclusion chromatographyDynamic light scatteringDifferential scanning calorimetryChromatographyLow proteinChemistry

摘要: Characterization of the monoclonal antibody aggregation process and identification stability factors that could be used as indicators propensity with an emphasis on a large number samples low protein material consumption. Differential scanning calorimetry, dynamic light scattering size exclusion chromatography were main methodological approaches. Conformational stability, colloidal kinetics assessed for two different IgG (mAbs) subclasses. Aggregation was induced by exposing mAbs to 55°C 3 weeks. mAb prepared in formulations concentrations from 1 mg/mL 50 mg/mL. High temperature stress revealed antibodies followed first order kinetics, which suggests rate-limiting step monomer loss unimolecular. estimated denaturation measurements. Colloidal interaction parameter k D . The correlation between conformational evaluated parameter found promising predictor antibodies. meaning using intermolecular prediction what is essentially unimolecular also discussed. This work estimates significance predictors at high part throughput, resource screening method contribution towards determining phenomena actual systems development production biopharmaceuticals.

参考文章(49)
G. W. H. Höhne, W. Hemminger, H.-J. Flammersheim, Differential scanning calorimetry Springer Berlin Heidelberg. ,(1996) , 10.1007/978-3-662-03302-9
Emre Firlar, Simge Çınar, Sanjay Kashyap, Mufit Akinc, Tanya Prozorov, Direct Visualization of the Hydration Layer on Alumina Nanoparticles with the Fluid Cell STEM in situ. Scientific Reports. ,vol. 5, pp. 9830- 9830 ,(2015) , 10.1038/SREP09830
Arne Schön, Benjamin R. Clarkson, Rogelio Siles, Patrick Ross, Richard K. Brown, Ernesto Freire, Denatured state aggregation parameters derived from concentration dependence of protein stability. Analytical Biochemistry. ,vol. 488, pp. 45- 50 ,(2015) , 10.1016/J.AB.2015.07.013
A. Quigley, D.R. Williams, The second virial coefficient as a predictor of protein aggregation propensity: A self-interaction chromatography study. European Journal of Pharmaceutics and Biopharmaceutics. ,vol. 96, pp. 282- 290 ,(2015) , 10.1016/J.EJPB.2015.07.025
Mavuto Mukaka, Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi medical journal : the journal of Medical Association of Malawi. ,vol. 24, pp. 69- 71 ,(2012) , 10.4314/MMJ.V24I3
Eva Y. Chi, Sampathkumar Krishnan, Theodore W. Randolph, John F. Carpenter, Physical Stability of Proteins in Aqueous Solution: Mechanism and Driving Forces in Nonnative Protein Aggregation Pharmaceutical Research. ,vol. 20, pp. 1325- 1336 ,(2003) , 10.1023/A:1025771421906
Michael J. Treuheit, Andrew A. Kosky, David N. Brems, Inverse relationship of protein concentration and aggregation. Pharmaceutical Research. ,vol. 19, pp. 511- 516 ,(2002) , 10.1023/A:1015108115452
Xiaoling Wang, Tapan K. Das, Satish K. Singh, Sandeep Kumar, Potential aggregation prone regions in biotherapeutics: A survey of commercial monoclonal antibodies mAbs. ,vol. 1, pp. 254- 267 ,(2009) , 10.4161/MABS.1.3.8035
Jose M. Sanchez-Ruiz, Theoretical analysis of Lumry-Eyring models in differential scanning calorimetry Biophysical Journal. ,vol. 61, pp. 921- 935 ,(1992) , 10.1016/S0006-3495(92)81899-4