Characterizing Monoclonal Antibody Aggregation Using Charge Detection Mass Spectrometry and Industry Standard Methods

Protein aggregation is a factor in a multitude of neurodegenerative diseases and aggregates of protein-based biotherapeutics can cause toxicity <i>in vivo</i> and adverse patient outcomes. Monoclonal antibody (M)-fluorophore (F) complexes with four different antibody sequences and masses of ∼680 kDa were analyzed using size-exclusion chromatography (SEC) and mass spectrometry using both quadrupole-time-of-flight (QTOF) and charge detection mass spectrometry (CDMS). Higher-order aggregates were not resolved using SEC, but species as large as the MF<sub>2</sub> complex and M<sub>5</sub>F<sub>3</sub> were resolved using QTOF and CDMS, respectively. Results from three freeze-thaw cycles and long-term heat stress indicate that both aggregation and degradation occurs. Two of the antibodies form a critical M<sub>2</sub>F complex that is sensitive to thermal stress, whereas the other two antibodies undergo degradation and formation of the assembled MF<sub>2</sub> complex in response to freeze-thaw and thermal stressors, respectively. These data show that small differences in mAb sequence can result in significant changes to the aggregation and degradation pathways and highlight the promise of combined mass spectrometry approaches for characterizing how various stress factors affect the stability and aggregation propensity of mAbs.

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Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2025-03-11
DOI
https://doi.org/10.1021/jasms.4c00503
Citations
2
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
1.61

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article

Characterizing Monoclonal Antibody Aggregation Using Charge Detection Mass Spectrometry and Industry Standard Methods

Esther Kofman, Evan R. Williams, Jan Paulo T. Zaragoza, Laurence Fayadat‐Dilman et al.
2 citations
Journal of the American Society for Mass Spectrometry
Protein purification and stability
1.61
article

Characterizing Monoclonal Antibody Aggregation Using Charge Detection Mass Spectrometry and Industry Standard Methods

Esther Kofman, Evan R. Williams, Jan Paulo T. Zaragoza, Laurence Fayadat‐Dilman, Fan Zhang, Jacob S. Jordan, Miranda Sam, Conner C. Harper, Bhagyashree Bhagwat
article en
2 citations

Abstract

Protein aggregation is a factor in a multitude of neurodegenerative diseases and aggregates of protein-based biotherapeutics can cause toxicity <i>in vivo</i> and adverse patient outcomes. Monoclonal antibody (M)-fluorophore (F) complexes with four different antibody sequences and masses of ∼680 kDa were analyzed using size-exclusion chromatography (SEC) and mass spectrometry using both quadrupole-time-of-flight (QTOF) and charge detection mass spectrometry (CDMS). Higher-order aggregates were not resolved using SEC, but species as large as the MF<sub>2</sub> complex and M<sub>5</sub>F<sub>3</sub> were resolved using QTOF and CDMS, respectively. Results from three freeze-thaw cycles and long-term heat stress indicate that both aggregation and degradation occurs. Two of the antibodies form a critical M<sub>2</sub>F complex that is sensitive to thermal stress, whereas the other two antibodies undergo degradation and formation of the assembled MF<sub>2</sub> complex in response to freeze-thaw and thermal stressors, respectively. These data show that small differences in mAb sequence can result in significant changes to the aggregation and degradation pathways and highlight the promise of combined mass spectrometry approaches for characterizing how various stress factors affect the stability and aggregation propensity of mAbs.

Journal of the American Society for Mass SpectrometryVol. 36(6)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), University of California System (US), Biolog (United States) (US)
Arnold and Mabel Beckman Foundation, Eli Lilly and Company, Merck, National Institute of General Medical Sciences, Division of Chemistry
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Protein purification and stability
1.61
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