Literature DB >> 21671226

Predicting accelerated aggregation rates for monoclonal antibody formulations, and challenges for low-temperature predictions.

Rebecca K Brummitt1, Douglas P Nesta, Christopher J Roberts.   

Abstract

Nonnative aggregation is a common degradation route for therapeutic proteins. Control of aggregate levels inherently requires control and/or prediction of aggregation rates at formulation conditions and storage temperatures of practical interest. Additionally, formulation screening often involves generation of accelerated stability data at one or more temperatures. A temperature-scanning approach for measuring nonnative aggregation rates as a function of temperature is proposed and evaluated here for a monoclonal antibody across different formulation conditions. Observed rate coefficients of aggregation (kobs ) were determined from isothermal kinetic studies for a range of pH and salt conditions at several temperatures, corresponding to shelf lives spanning multiple orders of magnitude. Isothermal kobs values were efficiently and quantitatively predicted by the temperature-scanning monomer loss (TSML) approach at accelerated conditions (half lives of the order 10(-1) -10(2) h). At lower temperatures, non-Arrhenius behavior was apparent in some cases, and was semi-quantitatively described by nonlinear van't Hoff contributions to monomer unfolding free energies. Overall, the results demonstrate a novel strategy to quantitatively determine aggregation rates at time scales of industrial interest, based on kobs values from TSML, which are sample- and time-sparing as compared with traditional isothermal approaches, and illustrate challenges for shelf-life prediction with non-Arrhenius kinetics.
Copyright © 2011 Wiley-Liss, Inc.

Entities:  

Keywords:  biotechnology; kinetics; protein aggregation; proteins; stability

Mesh:

Substances:

Year:  2011        PMID: 21671226     DOI: 10.1002/jps.22633

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  15 in total

1.  Boosting antibody developability through rational sequence optimization.

Authors:  Daniel Seeliger; Patrick Schulz; Tobias Litzenburger; Julia Spitz; Stefan Hoerer; Michaela Blech; Barbara Enenkel; Joey M Studts; Patrick Garidel; Anne R Karow
Journal:  MAbs       Date:  2015       Impact factor: 5.857

2.  Isotonic concentrations of excipients control the dimerization rate of a therapeutic immunoglobulin G1 antibody during refrigerated storage based on their rank order of native-state interaction.

Authors:  Douglas D Banks; Jon F Cordia; Vladimir Spasojevic; Jeonghoon Sun; Sarah Franc; Younhee Cho
Journal:  Protein Sci       Date:  2018-12       Impact factor: 6.725

3.  A comparison of biophysical characterization techniques in predicting monoclonal antibody stability.

Authors:  Geetha Thiagarajan; Andrew Semple; Jose K James; Jason K Cheung; Mohammed Shameem
Journal:  MAbs       Date:  2016-05-21       Impact factor: 5.857

4.  Modulating non-native aggregation and electrostatic protein-protein interactions with computationally designed single-point mutations.

Authors:  C J O'Brien; M A Blanco; J A Costanzo; M Enterline; E J Fernandez; A S Robinson; C J Roberts
Journal:  Protein Eng Des Sel       Date:  2016-05-09       Impact factor: 1.650

5.  Modification of the kinetic stability of immunoglobulin G by solvent additives.

Authors:  Jonas V Schaefer; Erik Sedlák; Florian Kast; Michal Nemergut; Andreas Plückthun
Journal:  MAbs       Date:  2018-04-25       Impact factor: 5.857

6.  Analysis of IgG kinetic stability by differential scanning calorimetry, probe fluorescence and light scattering.

Authors:  Michal Nemergut; Gabriel Žoldák; Jonas V Schaefer; Florian Kast; Pavol Miškovský; Andreas Plückthun; Erik Sedlák
Journal:  Protein Sci       Date:  2017-09-06       Impact factor: 6.725

7.  Parallel chromatography and in situ scattering to interrogate competing protein aggregation pathways.

Authors:  Diana Gomes; Rebecca K Kalman; Rebecca K Pagels; Miguel A Rodrigues; Christopher J Roberts
Journal:  Protein Sci       Date:  2018-06-13       Impact factor: 6.725

8.  Orthogonal high-throughput thermal scanning method for rank ordering protein formulations.

Authors:  Vishal C Nashine; Andrew M Kroetsch; Erinc Sahin; Rong Zhou; Monica L Adams
Journal:  AAPS PharmSciTech       Date:  2013-09-04       Impact factor: 3.246

9.  Significance of unfolding thermodynamics for predicting aggregation kinetics: a case study on high concentration solutions of a multi-domain protein.

Authors:  Atul Saluja; Vikram Sadineni; Amol Mungikar; Vishal Nashine; Andrew Kroetsch; Charles Dahlheim; Venkatramana M Rao
Journal:  Pharm Res       Date:  2014-01-08       Impact factor: 4.200

Review 10.  Non-Arrhenius protein aggregation.

Authors:  Wei Wang; Christopher J Roberts
Journal:  AAPS J       Date:  2013-04-25       Impact factor: 4.009

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.