Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment.

Developability assessment facilitates the selection of antibody drug candidates with desirable pharmaceutical properties. However, it remains uncertain whether agitation-induced aggregation can be predicted from standard developability parameters. Here, we investigated whether key biophysical parameters predict agitation-induced aggregation of monoclonal antibodies (mAbs). To this end, we generated a benchmark data set by characterizing the aggregation upon agitation in the presence of an air-liquid interface of ten approved mAbs reformulated in a common surfactant-free buffer. The extent of aggregation varied substantially among mAbs and was primarily dependent on antibody identity. Flow imaging microscopy combined with machine learning revealed micrometre-sized aggregates with distinct morphologies, consistent with aggregation at air-liquid interfaces. Examination of thin liquid films and foams confirmed the presence of aggregates directly at the air-liquid interface and, therefore, the critical role of this interface for antibody aggregation during agitation. We then applied fluorescence-based, light scattering, and chromatographic techniques to determine standard developability parameters for each mAb, including apparent melting temperature (