Fast analysis of antibody-derived therapeutics by automated multidimensional liquid chromatography - Mass spectrometry.

Automation Mass spectrometry Multidimensional LC On-line bottom-up Post-translational modifications Therapeutic antibodies

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
01 Nov 2021
Historique:
received: 24 06 2021
revised: 23 08 2021
accepted: 30 08 2021
entrez: 9 10 2021
pubmed: 10 10 2021
medline: 13 10 2021
Statut: ppublish

Résumé

Characterization of post-translational modifications (PTMs) of therapeutic antibodies is commonly performed by bottom-up approaches, involving sample preparation and peptide analysis by liquid chromatography-mass spectrometry (LC-MS). Conventional sample preparation requires extensive hands-on time and can increase the risk of inducing artificial modifications as many off-line steps - denaturation, disulfide-reduction, alkylation and tryptic digestion - are performed. In this study, we developed an on-line multidimensional (mD)-LC-MS bottom-up approach for fast sample preparation and analysis of (formulated) monoclonal antibodies and antibody-derived therapeutics. This approach allows on-column reduction, tryptic digestion and subsequent peptide analysis by RP-MS. Optimization of the 1D -and 2D flow and temperature improved the trapping of small polar peptides during on-line peptide mapping analysis. These adaptations increased the sequence coverage (95-98% versus 86-94% for off-line approaches) and allowed identification of various PTMs (i.e. deamidation of asparagine, methionine oxidation and lysine glycation) within a single analysis. This workflow enables a fast (<2 h) characterization of antibody heterogeneities within a single run and a low amount of protein (10 μg). Importantly, the new mD-LC-MS bottom-up method was able to detect the polar, fast-eluting peptides: Fc oxidation at Hc-Met-252 and the Fc N-glycosylation at Hc-Asn-297, which can be challenging using mD-LC-MS. Moreover, the method showed good comparability across the different measurements (RSD of retention time in the range of 0.2-1.8% for polar peptides). The LC system was controlled by only a standard commercial software package which makes implementation for fast characterization of quality attributes relatively easy.

Identifiants

pubmed: 34625261
pii: S0003-2670(21)00841-2
doi: 10.1016/j.aca.2021.339015
pii:
doi:

Substances chimiques

Antibodies, Monoclonal 0
Peptides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

339015

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sanne Pot (S)

Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.

Christoph Gstöttner (C)

Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands. Electronic address: c.j.gstoettner@lumc.nl.

Katrin Heinrich (K)

Pharma Technical Development Europe, Roche Diagnostics GmbH, Penzberg, Germany.

Sina Hoelterhoff (S)

Pharma Technical Development Europe, Hoffmann-La Roche, Basel, Switzerland.

Ingrid Grunert (I)

Pharma Technical Development Europe, Roche Diagnostics GmbH, Penzberg, Germany.

Michael Leiss (M)

Pharma Technical Development Europe, Roche Diagnostics GmbH, Penzberg, Germany.

Anja Bathke (A)

Pharma Technical Development Europe, Hoffmann-La Roche, Basel, Switzerland.

Elena Domínguez-Vega (E)

Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands.

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Classifications MeSH