Michaela Blech1, Richard Melien2,3, Nuska Tschammer4, Beate Presser5, Dariush Hinderberger3, Patrick Garidel2. 1. Boehringer Ingelheim Pharma GmbH & Co. KG, Innovation Unit, Pharmaceutical Development Biologicals, 88397, Biberach an der Riss, Germany. Michaela.Blech@boehringer-ingelheim.com. 2. Boehringer Ingelheim Pharma GmbH & Co. KG, Innovation Unit, Pharmaceutical Development Biologicals, 88397, Biberach an der Riss, Germany. 3. Institute of Chemistry, Martin-Luther-Universität Halle-Wittenberg, von-Danckelmann-Platz 4, 06120, Halle (Saale), Germany. 4. Nanotemper Technologies GmbH, Flößergasse 4, 81369, München, Germany. 5. Analytical Development Biologicals, CMC Statistics, Boehringer Ingelheim Pharma GmbH & Co. KG, Birkendorfer Str. 65, 88397, Biberach an der Riss, Germany.
Abstract
PURPOSE: Introduction of the activation energy (Ea) as a kinetic parameter to describe and discriminate monoclonal antibody (mAb) stability. METHODS: Ea is derived from intrinsic fluorescence (IF) unfolding thermograms. An apparent irreversible three-state fit model based on the Arrhenius integral is developed to determine Ea of respective unfolding transitions. These activation energies are compared to the thermodynamic parameter of van´t Hoff enthalpies (∆Hvh). Using a set of 34 mAbs formulated in four different formulations, both the apparent thermodynamic and kinetic parameters together with apparent melting temperatures are correlated collectively with each other to storage stabilities to evaluate its predictive power with respect to long-term effects potentially reflected in shelf-life. RESULTS: Ea allows for the discrimination of (i) different parent mAbs, (ii) different variants that originate from parent mAbs, and (iii) different formulations. Interestingly, we observed that the Ea of the CH2 unfolding transition shows strongest correlations with monomer and aggregate content after storage at accelerated and stress conditions when collectively compared to ∆Hvh and Tm of the CH2 transition. Moreover, the predictive parameters determined for the CH2 domain show generally stronger correlations with monomer and aggregate content than those derived for the Fab. Qualitative assessment by ranking Ea of the Fab domain showed good agreement with monomer content in storage stabilities of individual mAb sub-sets. CONCLUSION: Ea from IF unfolding transitions can be used in addition to other commonly used thermodynamic predictive parameters to discriminate and characterize thermal stability of different mAbs in different formulations. Hence, it shows great potential for antibody engineering and formulation scientists.
PURPOSE: Introduction of the activation energy (Ea) as a kinetic parameter to describe and discriminate monoclonal antibody (mAb) stability. METHODS: Ea is derived from intrinsic fluorescence (IF) unfolding thermograms. An apparent irreversible three-state fit model based on the Arrhenius integral is developed to determine Ea of respective unfolding transitions. These activation energies are compared to the thermodynamic parameter of van´t Hoff enthalpies (∆Hvh). Using a set of 34 mAbs formulated in four different formulations, both the apparent thermodynamic and kinetic parameters together with apparent melting temperatures are correlated collectively with each other to storage stabilities to evaluate its predictive power with respect to long-term effects potentially reflected in shelf-life. RESULTS: Ea allows for the discrimination of (i) different parent mAbs, (ii) different variants that originate from parent mAbs, and (iii) different formulations. Interestingly, we observed that the Ea of the CH2 unfolding transition shows strongest correlations with monomer and aggregate content after storage at accelerated and stress conditions when collectively compared to ∆Hvh and Tm of the CH2 transition. Moreover, the predictive parameters determined for the CH2 domain show generally stronger correlations with monomer and aggregate content than those derived for the Fab. Qualitative assessment by ranking Ea of the Fab domain showed good agreement with monomer content in storage stabilities of individual mAb sub-sets. CONCLUSION: Ea from IF unfolding transitions can be used in addition to other commonly used thermodynamic predictive parameters to discriminate and characterize thermal stability of different mAbs in different formulations. Hence, it shows great potential for antibody engineering and formulation scientists.
Authors: Alexei V Finkelstein; Azat J Badretdin; Oxana V Galzitskaya; Dmitry N Ivankov; Natalya S Bogatyreva; Sergiy O Garbuzynskiy Journal: Phys Life Rev Date: 2017-01-27 Impact factor: 11.025