HA1 (Hemagglutinin) quantitation for influenza A H1N1 and H3N2 high yield reassortant vaccine candidate seed viruses by RP-UPLC.


Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
15 01 2021
Historique:
received: 01 10 2020
revised: 20 11 2020
accepted: 01 12 2020
pubmed: 21 12 2020
medline: 28 4 2021
entrez: 20 12 2020
Statut: ppublish

Résumé

The only effective measure to decrease morbidity and mortality caused by the influenza virus in the human population is worldwide vaccination. Vaccination produces neutralizing antibodies that target the HA1 subunit of the HA (hemagglutinin) protein and are strain specific. The effectiveness of new influenza vaccines are linked to two factors, the correct prediction of the circulating strains in the population in a particular season and the concentration of the HA1 protein in the vaccine formulation. With the advent of the licensing of quadrivalent vaccines, pharmaceutical manufacturers are under considerable pressure due to time constraints and dedicated resources to deliver 194-198 million doses (2020-2021 U.S. market) of vaccine. Considering the valuable resources needed to produce the influenza vaccine in a timely manner, the efficient quantitation of the HA1 protein (the main component in the influenza vaccine) is required. Currently the only method approved by regulatory agencies for quantitation of the HA antigen in vaccines is the single radial immunodiffusion assay (SRID), an antibody dependent assay that is not time efficient. Time efficient methods that are antibody independent e.g. reverse phase-high performance liquid chromatography (RP-HPLC) or size exclusion-HPLC (SE-HPLC) are available. An improved method implementing reverse phase-ultra performance liquid chromatography (RP-UPLC) has been developed to quantitate the HA1 protein antigen present in the high yield reassortant vaccine seed viruses from influenza A H1N1 and H3N2 subtypes harvested from inoculated embryonated chicken eggs. This method differentiates between high yield and lower yielding reassortants in order to select the best vaccine candidate seed virus with the highest growth 'in ovo'. This direct capability to monitor the HA1 concentration of potential reassortant seed viruses and to choose the best yielding HA influenza reassortant when faced with multiple viral seed candidates provides a major advantage on the industrial scale to the influenza vaccine process.

Identifiants

pubmed: 33341306
pii: S0264-410X(20)31563-2
doi: 10.1016/j.vaccine.2020.12.001
pii:
doi:

Substances chimiques

Hemagglutinin Glycoproteins, Influenza Virus 0
Hemagglutinins 0
Influenza Vaccines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

545-553

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Ltd.. 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

Andrew A Fulvini (AA)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States.

Akaash Tuteja (A)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States.

Jianhua Le (J)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States.

Barbara A Pokorny (BA)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States.

Jeanmarie Silverman (J)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States.

Doris Bucher (D)

Department of Microbiology and Immunology, New York Medical College, Valhalla, NY 10595, United States. Electronic address: Doris_Bucher@NYMC.EDU.

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Classifications MeSH