Quantitative NMR for the structural analysis of novel bivalent glycoconjugates as vaccine candidates.


Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
30 May 2022
Historique:
received: 29 10 2021
revised: 17 02 2022
accepted: 08 03 2022
pubmed: 27 3 2022
medline: 27 4 2022
entrez: 26 3 2022
Statut: ppublish

Résumé

Novel unimolecular bivalent glycoconjugates were assembled combining several functionalized capsular polysaccharides of Streptococcus pneumoniae and Neisseria meningitidis to a carrier protein by using an effective strategy based on the Ugi 4-component reaction. The development of multivalent glycoconjugates opens new opportunities in the field of vaccine design, but their high structural complexity involves new analytical challenges. Nuclear Magnetic Resonance has found wide applications in the characterization and impurity profiling of carbohydrate-based vaccines. Eight bivalent conjugates were studied by quantitative NMR analyzing the structural identity, the content of each capsular polysaccharide, the ratios between polysaccharides, the polysaccharide to protein ratios and undesirable contaminants. The qNMR technique involves experiments with several modified parameters for obtaining spectra with quantifiable signals. In addition, the achieved NMR results were combined with the results of colorimetric assay and Size Exclusion HPLC for assessing the protein content and free protein percentage, respectively. The application of quantitative NMR showed to be efficient to clear up the new structural complexities while allowing the quantitative assessment of the components.

Identifiants

pubmed: 35338945
pii: S0731-7085(22)00142-X
doi: 10.1016/j.jpba.2022.114721
pii:
doi:

Substances chimiques

Glycoconjugates 0
Polysaccharides 0
Polysaccharides, Bacterial 0
Vaccines, Conjugate 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114721

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Ana R Humpierre (AR)

Laboratory for Synthetic and Biomolecular Chemistry, Faculty of Chemistry, University of Havana, Zapata y G, Havana 10400, Cuba; Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle/Saale 06120, Germany.

Abel Zanuy (A)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Mirelys Saenz (M)

Laboratory for Synthetic and Biomolecular Chemistry, Faculty of Chemistry, University of Havana, Zapata y G, Havana 10400, Cuba.

Aldrin V Vasco (AV)

Laboratory for Synthetic and Biomolecular Chemistry, Faculty of Chemistry, University of Havana, Zapata y G, Havana 10400, Cuba; Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle/Saale 06120, Germany.

Yanira Méndez (Y)

Laboratory for Synthetic and Biomolecular Chemistry, Faculty of Chemistry, University of Havana, Zapata y G, Havana 10400, Cuba; Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle/Saale 06120, Germany.

Bernhard Westermann (B)

Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle/Saale 06120, Germany.

Félix Cardoso (F)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Lauren Quintero (L)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Darielys Santana (D)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Vicente Verez (V)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Yury Valdés (Y)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba.

Daniel G Rivera (DG)

Laboratory for Synthetic and Biomolecular Chemistry, Faculty of Chemistry, University of Havana, Zapata y G, Havana 10400, Cuba.

Raine Garrido (R)

Finlay Vaccines Institute, Ave 27 Nr. 19805, Havana 10600, Cuba; Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, Weinberg 3, Halle/Saale 06120, Germany. Electronic address: rgarrido@finlay.edu.cu.

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Classifications MeSH