Meningococcal Antigen Typing System (MATS): A Tool to Estimate Global Coverage for 4CMenB, a Multicomponent Meningococcal B Vaccine.
Antigens, Bacterial
/ analysis
Australia
/ epidemiology
Cross Reactions
Enzyme-Linked Immunosorbent Assay
/ methods
Europe
/ epidemiology
Humans
Meningococcal Infections
/ epidemiology
Meningococcal Vaccines
/ administration & dosage
Neisseria meningitidis, Serogroup B
/ immunology
North America
/ epidemiology
Vaccination
Antibodies
Coverage
ELISA
Meningococcal Antigen Typing System (MATS)
Neisseria meningitidis
Serum Bactericidal Assay (SBA)
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
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