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1.
Pharm Res ; 38(12): 2065-2089, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34904201

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.


Subject(s)
Antibodies, Monoclonal/chemistry , Models, Chemical , Chemistry, Pharmaceutical , Kinetics , Protein Denaturation , Protein Stability , Thermodynamics
2.
Pharm Res ; 37(4): 78, 2020 Apr 01.
Article in English | MEDLINE | ID: mdl-32236701

ABSTRACT

PURPOSE: Predicting thermal protein stability is of major interest in the development of protein-based biopharmaceuticals. Therefore, this study provides a predictive tool for determining transition enthalpies, which can be used for ranking different proteins according to their thermal stability. METHODS: Unfolding and aggregation profiles of eight different therapeutic monoclonal antibodies (mAbs) of type G, isotype 1 were investigated. The unfolding profiles were determined by intrinsic fluorescence (IF) spectroscopy and differential scanning calorimetry (DSC). A three-state unfolding fitting model was used to determine thermodynamic parameters for macromolecular multi-domain mAbs in IF experiments, like the van't Hoff enthalpy change (∆Hvh) and the entropy change (∆S) of the unfolding event. The derived values were compared to thermodynamic parameters obtained directly by calorimetry. Moreover, differences in the Fab enthalpies were used to predict aggregation behavior and protein thermal stabilities. To do so, the liquid-formulated mAbs were investigated exemplarily by size exclusion chromatography (SEC) after accelerated thermal-induced stress conditions. RESULTS: Comparing the thermodynamic parameters derived from IF spectroscopy and DSC resulted in similar values. Data generated by thermal-induced stress at 40°C show similar stability ranking as postulated through the Fab enthalpies for mAbs in two different formulations, while at 25°C a meaningful ranking is not possible, because distinct differences in the thermal stability cannot be observed. The additional consideration of Fab enthalpies to predict the 40 °C SEC ranking seems to be more reliable compared to the use of exclusively the melting temperatures or aggregation onset temperatures and times. CONCLUSION: We show that thermodynamic profiling can help predicting unfolding and aggregation properties of therapeutic mAbs at 40°C. Therefore, analyzing thermodynamic unfolding parameters is a useful and supportive tool discriminating thermal stability profiles of mAbs for further pharmaceutical development and clinical studies.


Subject(s)
Antibodies, Monoclonal/chemistry , Models, Chemical , Protein Aggregates , Protein Unfolding , Calorimetry, Differential Scanning , Protein Conformation , Protein Folding , Protein Stability , Spectrometry, Fluorescence , Thermodynamics
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