Literature DB >> 33055180

Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) Index: a Rapid and Accessible Tool That Exploits Genomic Data in Public Health and Clinical Microbiology Applications.

Charlene M C Rodrigues1,2, Keith A Jolley1, Andrew Smith3,4, J Claire Cameron5, Ian M Feavers1, Martin C J Maiden6.   

Abstract

As microbial genomics makes increasingly important contributions to clinical and public health microbiology, the interpretation of whole-genome sequence data by nonspecialists becomes essential. In the absence of capsule-based vaccines, two protein-based vaccines have been used for the prevention of invasive serogroup B meningococcal disease (IMD) since their licensure in 2013 and 2014. These vaccines have different components and different levels of coverage of meningococcal variants. Hence, decisions regarding which vaccine to use in managing serogroup B IMD outbreaks require information about the index case isolate, including (i) the presence of particular vaccine antigen variants, (ii) the expression of vaccine antigens, and (iii) the likely susceptibility of its antigen variants to antibody-dependent bactericidal killing. To obtain this information requires a multitude of laboratory assays, impractical in real-time clinical settings, where the information is most urgently needed. To facilitate assessment for public health and clinical purposes, we synthesized genomic and experimental data from published sources to develop and implement the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) Index, which is publicly available on PubMLST (https://pubmlst.org). Using whole-genome sequences or individual gene sequences obtained from IMD isolates or clinical specimens, the MenDeVAR Index provides rapid evidence-based information on the presence and possible immunological cross-reactivity of different meningococcal vaccine antigen variants. The MenDeVAR Index enables practitioners who are not genomics specialists to assess the likely reactivity of vaccines for individual cases, outbreak management, or the assessment of public health vaccine programs. The MenDeVAR Index has been developed in consultation with, but independently of, both the 4CMenB (Bexsero; GSK) and rLP2086 (Trumenba; Pfizer, Inc.) vaccine manufacturers.
Copyright © 2020 Rodrigues et al.

Entities:  

Keywords:  Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR); Neisseria meningitidiszzm321990; meningococcal antigen surface expression (MEASURE) assay; meningococcal antigen typing system (MATS); meningococcal disease; outbreaks; public health; serum bactericidal activity assay; vaccines; whole-genome sequencing

Year:  2020        PMID: 33055180      PMCID: PMC7771438          DOI: 10.1128/JCM.02161-20

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  4 in total

1.  Evolution of strain coverage by the multicomponent meningococcal serogroup B vaccine (4CMenB) in France.

Authors:  Eva Hong; Aude Terrade; Alessandro Muzzi; Rosita De Paola; Giuseppe Boccadifuoco; Rita La Gaetana; Ala-Eddine Deghmane; Mariagrazia Pizza; Laura Serino; Muhamed-Kheir Taha
Journal:  Hum Vaccin Immunother       Date:  2021-12-02       Impact factor: 3.452

2.  Evolution of Sequence Type 4821 Clonal Complex Hyperinvasive and Quinolone-Resistant Meningococci.

Authors:  Mingliang Chen; Odile B Harrison; Holly B Bratcher; Zhiyan Bo; Keith A Jolley; Charlene M C Rodrigues; James E Bray; Qinglan Guo; Xi Zhang; Min Chen; Martin C J Maiden
Journal:  Emerg Infect Dis       Date:  2021-04       Impact factor: 6.883

3.  Demographic Features of Invasive Meningococcal Disease in Taiwan, 1993 to 2020, and Genetic Characteristics of Neisseria meningitidis Isolates, 2003 to 2020.

Authors:  Chien-Shun Chiou; Ying-Shu Liao; Bo-Han Chen; Min-Chi Lu; Yu-Ping Hong; You-Wun Wang; Ru-Hsiou Teng
Journal:  Microbiol Spectr       Date:  2022-07-11

4.  Whole genome sequencing of Neisseria meningitidis Y isolates collected in the Czech Republic in 1993-2018.

Authors:  Michal Honskus; Zuzana Okonji; Martin Musilek; Pavla Krizova
Journal:  PLoS One       Date:  2022-03-10       Impact factor: 3.240

  4 in total

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