| Literature DB >> 20962280 |
John Donnelly1, Duccio Medini, Giuseppe Boccadifuoco, Alessia Biolchi, Joel Ward, Carl Frasch, E Richard Moxon, Maria Stella, Maurizio Comanducci, Stefania Bambini, Alessandro Muzzi, William Andrews, Jie Chen, George Santos, Laura Santini, Philip Boucher, Davide Serruto, Mariagrazia Pizza, Rino Rappuoli, Marzia Monica Giuliani.
Abstract
A unique multicomponent vaccine against serogroup B meningococci incorporates the novel genome-derived proteins fHbp, NHBA, and NadA that may vary in sequence and level of expression. Measuring the effectiveness of such vaccines, using the accepted correlate of protection against invasive meningococcal disease, could require performing the serum bactericidal assay (SBA) against many diverse strains for each geographic region. This approach is impractical, especially for infants, where serum volumes are very limited. To address this, we developed the meningococcal antigen typing system (MATS) by combining a unique vaccine antigen-specific ELISA, which detects qualitative and quantitative differences in antigens, with PorA genotyping information. The ELISA correlates with killing of strains by SBA and measures both immunologic cross-reactivity and quantity of the antigens NHBA, NadA, and fHbp. We found that strains exceeding a threshold value in the ELISA for any of the three vaccine antigens had ≥80% probability of being killed by immune serum in the SBA. Strains positive for two or more antigens had a 96% probability of being killed. Inclusion of multiple different antigens in the vaccine improves breadth of coverage and prevents loss of coverage if one antigen mutates or is lost. The finding that a simple and high-throughput assay correlates with bactericidal activity is a milestone in meningococcal vaccine development. This assay allows typing of large panels of strains and prediction of coverage of protein-based meningococcal vaccines. Similar assays may be used for protein-based vaccines against other bacteria.Entities:
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Year: 2010 PMID: 20962280 PMCID: PMC2984153 DOI: 10.1073/pnas.1013758107
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205