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Updated: Jul 13, 2025

Determining the Phagocytic Activity of Clinical Antibody Samples
Published on: November 30, 2011
Native and Non-Native aggregation pathways of antibodies anticipated by cold-accelerated studies
Miguel A Rodrigues1, Andreia Duarte2, Vitor Geraldes1
1SmartFreeZ, Ed. Inovação II, Incubadora Taguspark, Porto Salvo, Portugal; CQE, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
Biotherapeutic cold stability is crucial. This study reveals that aggregation rates increase at extreme temperatures, necessitating models beyond standard Arrhenius equations for accurate storage stability predictions.
Area of Science:
- Biopharmaceutical science
- Protein chemistry
- Physical chemistry
Background:
- Assessing cold stability is vital for biotherapeutic manufacturing and commercialization.
- Current methods using elevated temperatures and Arrhenius equations often underestimate protein aggregation during storage.
- Understanding aggregation kinetics across wide temperature ranges is needed.
Purpose of the Study:
- To investigate antibody aggregation rates across a broad temperature spectrum, from 60 °C to -25 °C.
- To develop a more accurate model for predicting protein aggregation, accounting for both hot and cold denaturation.
- To enable rapid assessment of storage stability at refrigeration temperatures.
Main Methods:
- Employed an isochoric cooling method to prevent freezing below 0 °C.
- Measured aggregation rates of two antibodies from 60 °C down to -25 °C.
- Utilized Arrhenius and Gibbs-Helmholtz equations to model temperature-dependent aggregation kinetics.
Main Results:
- Both antibodies showed increased aggregation rates at extreme temperatures (hot and cold denaturation).
- The developed model successfully deconvoluted unfolding and protein association kinetics.
- Accurate aggregation rates at 5 °C were predicted within 1-2 weeks using SEC-HPLC and DLS.
Conclusions:
- Standard accelerated stability testing underestimates cold-induced aggregation.
- A broader temperature range assessment combined with advanced modeling provides accurate predictions for biotherapeutic cold stability.
- This approach facilitates faster and more reliable shelf-life determination for biologics.
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