Cargando…

Comprehensive Multidimensional Liquid Chromatography–Mass Spectrometry for the Characterization of Charge Variants of a Bispecific Antibody

[Image: see text] Identification and further characterization of antibody charge variants is a crucial step during biopharmaceutical drug development, particularly with regard to the increasing complexity of novel antibody formats. As a standard analytical approach, manual offline fractionation of c...

Descripción completa

Detalles Bibliográficos
Autores principales: Grunert, Ingrid, Heinrich, Katrin, Hingar, Michael, Ernst, Juliane, Winter, Martin, Bomans, Katrin, Wagner, Katharina, Fevre, Arnaud, Reusch, Dietmar, Wuhrer, Manfred, Bulau, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732868/
https://www.ncbi.nlm.nih.gov/pubmed/36442848
http://dx.doi.org/10.1021/jasms.2c00296
Descripción
Sumario:[Image: see text] Identification and further characterization of antibody charge variants is a crucial step during biopharmaceutical drug development, particularly with regard to the increasing complexity of novel antibody formats. As a standard analytical approach, manual offline fractionation of charge variants by cation-exchange chromatography followed by comprehensive analytical testing is applied. These conventional workflows are time-consuming and labor-intensive and overall reach their limits in terms of chromatographic separation of enhanced structural heterogeneities raised from new antibody formats. For these reasons, we aimed to develop an alternative online characterization strategy for charge variant characterization of a therapeutic bispecific antibody by online mD-LC-MS at middle-up (2D-LC-MS) and bottom-up (4D-LC-MS) level. Using the implemented online mD-LC-MS approach, all medium- and even low-abundant product variants previously identified by offline fraction experiments and liquid chromatography mass spectrometry could be monitored. The herein reported automated online mD-LC-MS methodology therefore represents a complementary and in part alternative approach for analytical method validation including multiattribute monitoring (MAM) strategies by mass spectrometry, offering various benefits including increased throughput and reduced sample handling and combined protein information at intact protein and peptide level.