Quantitative <i>N-</i>Glycan Profiling of Therapeutic Monoclonal Antibodies Performed by Middle-Up Level HILIC-HRMS Analysis

The identification and accurate quantitation of the various glycoforms contained in therapeutic monoclonal antibodies (mAbs) is one of the main analytical needs in the biopharmaceutical industry, and glycosylation represents a crucial critical quality attribute (CQA) that needs to be addressed. Curr...

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Autores principales: Bastiaan L. Duivelshof, Steffy Denorme, Koen Sandra, Xiaoxiao Liu, Alain Beck, Matthew A. Lauber, Davy Guillarme, Valentina D’Atri
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/9ef3402fc0064b6fa7968bd0b3ad2485
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Sumario:The identification and accurate quantitation of the various glycoforms contained in therapeutic monoclonal antibodies (mAbs) is one of the main analytical needs in the biopharmaceutical industry, and glycosylation represents a crucial critical quality attribute (CQA) that needs to be addressed. Currently, the reference method for performing such identification/quantitation consists of the release of the <i>N</i>-glycan moieties from the mAb, their labelling with a specific dye (e.g., 2-AB or RFMS) and their analysis by HILIC-FLD or HILIC-MS. In this contribution, the potential of a new cost- and time-effective analytical approach performed at the protein subunit level (middle-up) was investigated for quantitative purposes and compared with the reference methods. The robustness of the approach was first demonstrated by performing the relative quantification of the glycoforms related to a well characterized mAb, namely adalimumab. Then, the workflow was applied to various glyco-engineered mAb products (i.e., obinutuzumab, benralizumab and atezolizumab). Finally, the glycosylation pattern of infliximab (Remicade<sup>®</sup>) was assessed and compared to two of its commercially available biosimilars (Remsima<sup>®</sup> and Inflectra<sup>®</sup>). The middle-up analysis proved to provide accurate quantitation results and has the added potential to be used as multi-attribute monitoring method.