Meningococcal Antigen Typing System (MATS): A Tool to Estimate Global Coverage for 4CMenB, a Multicomponent Meningococcal B Vaccine.


Journal

Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969

Informations de publication

Date de publication:
2019
Historique:
entrez: 17 3 2019
pubmed: 17 3 2019
medline: 5 9 2019
Statut: ppublish

Résumé

Meningococcal Antigen Typing System (MATS) is the combination of a sandwich ELISA (Enzyme Linked Immunosorbent Assay) developed to estimate the level of expression and immunoreactivity of the antigen components (fHbp, NHBA, and NadA) of the 4CMenB vaccine (Bexsero, GSK Vaccines) in circulating, serogroup B meningococcal (MenB) strains, with the molecular typing of PorA, the main antigenic component in the outer membrane vesicles (OMV). MATS has been proven to be a good surrogate of the accepted correlate of protection for meningococcus (hSBA), thus providing a quick, conservative and reproducible method to assess vaccine coverage. The method has been successfully transferred and standardized in several public health laboratories across Europe, North America, and Australia and used to screen thousands of isolates all over the world. Here we describe the sandwich ELISA method applied to assess the expression and cross-reactivity of fHbp, NHBA, and NadA in MenB isolates.

Identifiants

pubmed: 30877679
doi: 10.1007/978-1-4939-9202-7_14
doi:

Substances chimiques

4CMenB vaccine 0
Antigens, Bacterial 0
Meningococcal Vaccines 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

205-215

Auteurs

Giuseppe Boccadifuoco (G)

GSK Vaccines, Siena, Italy. giuseppe.x.boccadifuoco@gsk.com.

Brunella Brunelli (B)

GSK Vaccines, Siena, Italy.

Elena Mori (E)

GSK Vaccines, Siena, Italy.

Mauro Agnusdei (M)

GSK Vaccines, Siena, Italy.

Claudia Gianfaldoni (C)

GSK Vaccines, Siena, Italy.

Marzia Monica Giuliani (MM)

GSK Vaccines, Siena, Italy.

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Classifications MeSH