Comprehensive characterization of bacterial glycoconjugate vaccines by liquid chromatography - mass spectrometry

Bacterial pathogens can cause a broad range of infections with detrimental effects on health. Vaccine development is essential as multi-drug resistance in bacterial infections is a rising concern. Recombinantly produced proteins carrying O-antigen glycosylation are promising glycoconjugate vaccine c...

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Veröffentlicht in:Carbohydrate polymers 2024-10, Vol.341, p.122327, Article 122327
Hauptverfasser: Di Marco, Fiammetta, Hipgrave Ederveen, Agnes L., van Schaick, Guusje, Moran, Alan B., Domínguez-Vega, Elena, Nicolardi, Simone, Blöchl, Constantin, Koeleman, Carolien A., Danuser, Renzo, Al Kaabi, Ali, Dotz, Viktoria, Grijpstra, Jan, Beurret, Michel, Anish, Chakkumkal, Wuhrer, Manfred
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Sprache:eng
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Zusammenfassung:Bacterial pathogens can cause a broad range of infections with detrimental effects on health. Vaccine development is essential as multi-drug resistance in bacterial infections is a rising concern. Recombinantly produced proteins carrying O-antigen glycosylation are promising glycoconjugate vaccine candidates to prevent bacterial infections. However, methods for their comprehensive structural characterization are lacking. Here, we present a bottom-up approach for their site-specific characterization, detecting N-glycopeptides by nano reversed-phase liquid chromatography-mass spectrometry (RP-LC-MS). Glycopeptide analyses revealed information on partial site-occupancy and site-specific glycosylation heterogeneity and helped corroborate the polysaccharide structures and their modifications. Bottom-up analysis was complemented by intact glycoprotein analysis using nano RP-LC-MS allowing the fast visualization of the polysaccharide distribution in the intact glycoconjugate. At the glycopeptide level, the model glycoconjugates analyzed showed different repeat unit (RU) distributions that spanned from 1 to 21 RUs attached to each of the different glycosylation sites. Interestingly, the intact glycoprotein analysis displayed a RU distribution ranging from 1 to 28 RUs, showing the predominant species when the different glycopeptide distributions are combined in the intact glycoconjugate. The complete workflow based on LC-MS measurements allows detailed and comprehensive analysis of the glycosylation state of glycoconjugate vaccines. [Display omitted]
ISSN:0144-8617
1879-1344
1879-1344
DOI:10.1016/j.carbpol.2024.122327