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Roca-Grande J, Mir-Cros A, Muñoz-Almagro C, Lung M, Bellés-Bellés A, Càmara J, Cercenado E, Galán-Ladero MÁ, Martín-Nalda A, Moreno-Mingorance A, Navarro de la Cruz D, Orellana MÁ, Palop B, Pérez-Argüello A, Puigsech-Boixeda G, Quesada MD, Rivera A, Rodriguez-Fernandez A, Ruiz de Gopegui E, Sarvisé C, Soler-Garcia A, Viñado B, Larrosa N, González-López JJ, the GE-EMIE Study Team. Genomic characterization of invasive Neisseria meningitidis in Spain (2011/12-2022/23): expansion of clonal complex 213 and the potential threat to 4CMenB vaccine strain coverage. Emerg Microbes Infect 2025; 14:2482696. [PMID: 40105365 PMCID: PMC11951326 DOI: 10.1080/22221751.2025.2482696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2025] [Revised: 03/07/2025] [Accepted: 03/17/2025] [Indexed: 03/20/2025]
Abstract
Invasive meningococcal disease (IMD) is associated with significant global morbidity and mortality and is addressed by conjugated polysaccharide and subcapsular vaccines. In Spain, data on 4CMenB vaccine strain coverage and antimicrobial susceptibility are limited. This study aimed to describe the genomic epidemiology, predict 4CMenB vaccine strain coverage, and assess antimicrobial susceptibility of 323 Neisseria meningitidis isolates causing IMD, collected from 57 Clinical Microbiology Laboratories in Spain over 12 years (2011/12-2022/23). Whole genome sequencing was performed to identify serogroup, clonal complex (cc), and antimicrobial resistance determinants. Vaccine strain coverage for serogroup B (MenB) isolates was predicted using the genetic Meningococcal Antigen Typing System approach. The most prevalent serogroups were B (57.9%), W (21.4%), C (10.4%), and Y (8.4%). MenB predominated throughout most seasons, except during the 2019/20 season when serogroup W peaked. Post-COVID-19 pandemic, MenB remained the most frequent (70.2%). Thirteen cc were identified among MenB isolates, with cc213 being the most prevalent (40.1%). Only 28.9% of MenB isolates were predicted to be covered by 4CMenB, with cc213 showing an exceptionally low coverage rate (5.3%) due to antigenic variants poorly targeted by the vaccine. Notably, cc213 was responsible for twice the proportion of MenB cases in 4CMenB-vaccinated versus unvaccinated. All isolates were susceptible to third generation cephalosporins, and 13.5% showed penicillin resistance. This study highlights the alarming prevalence of cc213 among MenB IMD cases in Spain and the limited 4CMenB coverage against this cc. The disproportionate representation of cc213 in vaccinated individuals underscores its potential to compromise vaccine effectiveness.
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Affiliation(s)
- Josep Roca-Grande
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Alba Mir-Cros
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Carmen Muñoz-Almagro
- Infectious Diseases and Microbiome Research Group, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- School of Medicine and Health Sciences, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Mayli Lung
- Department of Clinical Microbiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Alba Bellés-Bellés
- Department of Clinical Microbiology, Hospital Universitari Arnau de Vilanova, Institut de Recerca Biomèdica de Lleida (IRB-Lleida), Lleida, Spain
| | - Jordi Càmara
- Department of Clinical Microbiology, Hospital Universitari de Bellvitge, IDIBELL-UB, L'Hospitalet de Llobregat, Spain
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Emilia Cercenado
- CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
- Department of Clinical Microbiology and Infectious Disease, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | - Andrea Martín-Nalda
- Pediatric Infectious Diseases and Immunodeficiencies Unit, Children’s Hospital, Hospital Universitari Vall d’Hebron Campus, Barcelona, Spain
| | - Albert Moreno-Mingorance
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Daniel Navarro de la Cruz
- Department of Clinical Microbiology, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, Spain
| | - M. Ángeles Orellana
- Department of Clinical Microbiology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Begoña Palop
- Department of Clinical Microbiology, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Amaresh Pérez-Argüello
- Infectious Diseases and Microbiome Research Group, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues, Spain
| | - Guillem Puigsech-Boixeda
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - M. Dolores Quesada
- Department of Clinical Microbiology, Hospital Universitari Germans Trias i Pujol, UAB, Badalona, Spain
| | - Alba Rivera
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Department of Clinical Microbiology, Hospital de la Santa Creu i Sant Pau, Sant Pau Biomedical Research Institute (IIB Sant Pau), Barcelona, Spain
| | - Ana Rodriguez-Fernandez
- Department of Clinical Microbiology, Hospital Universitario Marqués de Valdecilla-IDIVAL, Santander, Spain
| | - Enrique Ruiz de Gopegui
- Department of Clinical Microbiology, Hospital Universitario Son Espases, Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - Carolina Sarvisé
- Department of Clinical Microbiology, Hospital Universitari de Tarragona Joan XXIII, Pere Virgili Health Research Institute (IISPV), Tarragona, Spain
| | - Aleix Soler-Garcia
- Infectious Diseases and Microbiome Research Group, Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Esplugues, Spain
- Department of Pediatrics, Hospital Sant Joan de Déu, Esplugues, Spain
| | - Belén Viñado
- Department of Clinical Microbiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Nieves Larrosa
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Department of Clinical Microbiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Juan José González-López
- Microbiology Research Group, Vall d'Hebron Institut de Recerca (VHIR), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
- Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- CIBER de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Department of Clinical Microbiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
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Goeders N, Vanneste K, Roosens NHC, Bogaerts B, Mattheus W. Molecular and WGS-based characterization of invasive Neisseria meningitidis isolates collected in Belgium (2016-2022) and MenB-FHbp vaccine coverage estimation of serogroup B. Vaccine 2025; 55:127026. [PMID: 40132319 DOI: 10.1016/j.vaccine.2025.127026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 02/28/2025] [Accepted: 03/13/2025] [Indexed: 03/27/2025]
Abstract
Invasive meningococcal disease (IMD) caused by Neisseria meningitidis can result in life-threatening meningitis and septicaemia. There are twelve serogroups of N. meningitidis, but most cases of IMD are caused by serogroups A, B, C, W, X and Y. In Europe, serogroup B (MenB) accounts for 51 % of documented cases as recently reported by the European Centre for Disease Prevention and Control (ECDC). As a major cause of IMD, genomic surveillance of circulating MenB strains and assessment of the potential impact of vaccination programs could help inform public health policy. In this study, a collection of 493 strains was analysed, collected in Belgium by the National Reference Centre between 2016 and 2022. Slide agglutination was used for serogroup determination and whole genome sequencing (WGS) was used to further characterize these strains. The observed serogroups were: MenB (n = 281), MenY (n = 95), MenW (n = 83), MenC (n = 30), non-groupable isolates (n = 2), MenE (n = 1) and MenX (n = 1). A higher prevalence of MenY and MenW was observed in older adults. MenB isolates were grouped into 110 sequence types (STs), 89 of which belonged to 16 clonal complexes (CCs). Coverage of the MenB-FHbp vaccine (Trumenba, bivalent rLP2086; Pfizer Inc., New York, NY, USA ipv Philadelphia) was predicted using the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) index. Of the 281 MenB strains collected between 2016 and 2022, 89.1 % (lower limit - upper limit: 78.6-100.0 %) were predicted by MenDeVAR to be covered by the vaccine. This study highlights the benefits of a pathogen surveillance program and the need for experimental characterization of continuously evolving antigenic variants.
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Affiliation(s)
- Nathalie Goeders
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium; Bacterial Diseases, Sciensano, Brussels, Belgium
| | - Kevin Vanneste
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Nancy H C Roosens
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
| | - Bert Bogaerts
- Transversal activities in Applied Genomics, Sciensano, Brussels, Belgium
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Borrow R, Tomasi Cont L, Toneatto D, Bambini S, Bobde S, Sohn WY, Biolchi A, Masignani V, Beernink PT, Lattanzi M. Methods to evaluate the performance of a multicomponent meningococcal serogroup B vaccine. mSphere 2025; 10:e0089824. [PMID: 40197090 PMCID: PMC12039234 DOI: 10.1128/msphere.00898-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2025] Open
Abstract
Meningococcal serogroup B (MenB) vaccine licensure was based on the assessment of vaccine-induced immune responses by human serum bactericidal antibody (hSBA) assay against a small number of antigen-specific strains complemented by strain coverage predictions. However, the evaluation of vaccine strain coverage is challenging because of genotypic and phenotypic diversity in surface-exposed MenB strain antigens. This narrative review considers the principal methods applied to assess the performance of a multicomponent MenB vaccine at different stages of its development. Traditional hSBA assay against a limited panel of strains is useful at all stages, while predicted strain coverage methods, such as the meningococcal antigen typing system, are used independent of clinical trials. A new method, the endogenous complement hSBA assay, has been developed to evaluate a vaccine's ability to induce a bactericidal immune response in clinical trials, in conditions that approximate real-world settings through the use of each vaccinee's serum as a source of complement and by testing against a panel of 110 epidemiologically representative MenB strains. Each assay, therefore, has a different scope during the vaccine's development and all complement each other, enabling comprehensive evaluation of the performance of multicomponent MenB vaccines, in advance of real-world evidence of vaccine effectiveness and vaccine impact.
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Affiliation(s)
- Ray Borrow
- Meningococcal Reference Unit, UK Health Security Agency, Manchester Royal Infirmary, Manchester, United Kingdom
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Falguières M, Hong E, Denizon M, Terrade A, Taha MK, Deghmane AE. Fluctuations in serogroup B meningococcal vaccine antigens prior to routine MenB vaccination in France. COMMUNICATIONS MEDICINE 2025; 5:87. [PMID: 40133410 PMCID: PMC11937567 DOI: 10.1038/s43856-025-00800-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 03/11/2025] [Indexed: 03/27/2025] Open
Abstract
BACKGROUND Invasive meningococcal disease (IMD) of serogroup B is preventable by protein-based vaccines targeting one (Bivalent rLP2086 vaccine) or several variable proteins (4CMenB vaccine) at the bacterial surface. The 4CMenB was licensed in Europe in 2013 but has been recommended and reimbursed in France for infants over 2 months old since April 2022. The bivalent rLP2086 vaccine was licensed in Europe in 2017 for subjects of 10 years and older. Evaluating strain coverage and fluctuations prior to large scale vaccine use is highly informative. METHODS We analysed invasive isolates at the French National Reference Centre for meningococci between 1975 and 2022. The 1691 recovered isolates were sequenced. We scored sex, and age groups of subjects. We also scored clonal complexes (CC) and the predicted coverage rates of the corresponding isolates using the genetic Meningococcal Antigen Typing System (gMATS) and the Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR). RESULTS The period was divided into four periods 1975-1986, 1987-1998-1999-2010 and 2011-2022. Our data clearly show significant differences in the distribution of alleles encoding the vaccine-covered antigens between these four periods. The clonal complex (CC) distribution also differed between the two periods with the disappearance of CC8 since 2011 and drastic decreases in CC11 since 1999. MenDeVar-predicted coverage fluctuated between 46.8% and 60.6% during the four periods for the 4CMenB and between 63.4% and 81.3% for rLP2086. For 4CMenB, coverage was higher using gMATS and varied between 74.5% and 85.0%. Fluctuations were also observed for all age groups. CONCLUSIONS IMD epidemiology is continuously changing with fluctuation in vaccine strain coverage over the 48 years prior to the routine implementation of the vaccines.
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Affiliation(s)
- Michaël Falguières
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France
| | - Eva Hong
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France
| | - Mélanie Denizon
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France
| | - Aude Terrade
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France
| | - Muhamed-Kheir Taha
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France
| | - Ala-Eddine Deghmane
- Invasive Bacterial Infections Unit and National Reference Centre for Meningococci and Haemophilus Influnezae, Institut Pasteur and Université Paris Cité, Paris, France.
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Abitbol V, Martinón-Torres F, Taha MK, Nolan T, Muzzi A, Bambini S, Borrow R, Toneatto D, Serino L, Rappuoli R, Pizza M. 4CMenB journey to the 10-year anniversary and beyond. Hum Vaccin Immunother 2024; 20:2357924. [PMID: 38976659 PMCID: PMC11232649 DOI: 10.1080/21645515.2024.2357924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 05/17/2024] [Indexed: 07/10/2024] Open
Abstract
The 4-component meningococcal serogroup B (MenB) vaccine, 4CMenB, the first broadly protective, protein-based MenB vaccine to be licensed, is now registered in more than 50 countries worldwide. Real-world evidence (RWE) from the last decade confirms its effectiveness and impact, with infant immunization programs showing vaccine effectiveness of 71-95% against invasive MenB disease and cross-protection against non-B serogroups, including a 69% decrease in serogroup W cases in 4CMenB-eligible cohorts in England. RWE from different countries also demonstrates the potential for additional moderate protection against gonorrhea in adolescents. The real-world safety profile of 4CMenB is consistent with prelicensure reports. Use of the endogenous complement human serum bactericidal antibody (enc-hSBA) assay against 110 MenB strains may enable assessment of the immunological effectiveness of multicomponent MenB vaccines in clinical trial settings. Equitable access to 4CMenB vaccination is required to better protect all age groups, including older adults, and vulnerable groups through comprehensive immunization policies.
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Affiliation(s)
| | - Federico Martinón-Torres
- Genetics, Vaccines and Infections Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago and Universidad de, Santiago de Compostela, Spain
- Translational Pediatrics and Infectious Diseases, Pediatrics Department, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
- Consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain
| | - Muhamed-Kheir Taha
- Institut Pasteur, Université Paris Cité, Invasive Bacterial Infections Unit, National Reference Center for Meningococci and Haemophilus influenzae, Paris, France
| | - Terry Nolan
- Peter Doherty Institute for Infection & Immunity at University of Melbourne and Murdoch Children’s Research Institute, Melbourne, Australia
| | | | | | - Ray Borrow
- Meningococcal Reference Unit, UK Health Security Agency, Manchester, UK
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Efron A, Brozzi A, Biolchi A, Bodini M, Giuliani M, Guidotti S, Lorenzo F, Moscoloni MA, Muzzi A, Nocita F, Pizza M, Rappuoli R, Tomei S, Vidal G, Vizzotti C, Campos J, Sorhouet Pereira C. Genetic characterization and estimated 4CMenB vaccine strain coverage of 284 Neisseria meningitidis isolates causing invasive meningococcal disease in Argentina in 2010-2014. Hum Vaccin Immunother 2024; 20:2378537. [PMID: 39037011 PMCID: PMC11789736 DOI: 10.1080/21645515.2024.2378537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/18/2024] [Accepted: 07/06/2024] [Indexed: 07/23/2024] Open
Abstract
Meningococcal (Neisseria meningitidis) serogroup B (MenB) strain antigens are diverse and a limited number of strains can be evaluated using the human serum bactericidal antibody (hSBA) assay. The genetic Meningococcal Antigen Typing System (gMATS) was developed to predict the likelihood of coverage for large numbers of isolates by the 4CMenB vaccine, which includes antigens Neisseria adhesin A (NadA), Neisserial Heparin-Binding Antigen (NHBA), factor H-binding protein (fHbp), and Porin A (PorA). In this study, we characterized by whole-genome analyses 284 invasive MenB isolates collected from 2010 to 2014 by the Argentinian National Laboratories Network (52-61 isolates per year). Strain coverage was estimated by gMATS on all isolates and by hSBA assay on 74 randomly selected isolates, representative of the whole panel. The four most common clonal complexes (CCs), accounting for 81.3% of isolates, were CC-865 (75 isolates, 26.4%), CC-32 (59, 20.8%), CC-35 (59, 20.8%), and CC-41/44 (38, 13.4%). Vaccine antigen genotyping showed diversity. The most prevalent variants/peptides were fHbp variant 2, NHBA peptides 24, 21, and 2, and PorA variable region 2 profiles 16-36 and 14. The nadA gene was present in 66 (23.2%) isolates. Estimated strain coverage by hSBA assay showed 78.4% of isolates were killed by pooled adolescent sera, and 51.4% and 64.9% (based on two different thresholds) were killed by pooled infant sera. Estimated coverage by gMATS (61.3%; prediction interval: 55.5%, 66.7%) was consistent with the infant hSBA assay results. Continued genomic surveillance is needed to evaluate the persistence of major MenB CCs in Argentina.
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Affiliation(s)
- Adriana Efron
- Instituto Nacional de Enfermedades Infecciosas-ANLIS “Dr. Carlos G. Malbrán”, Buenos Aires, Argentina
| | | | | | | | | | | | - Federico Lorenzo
- Instituto Nacional de Enfermedades Infecciosas-ANLIS “Dr. Carlos G. Malbrán”, Buenos Aires, Argentina
| | - María Alicia Moscoloni
- Instituto Nacional de Enfermedades Infecciosas-ANLIS “Dr. Carlos G. Malbrán”, Buenos Aires, Argentina
| | | | | | | | | | | | | | - Carla Vizzotti
- National Ministry of Health (2010-2015 and 2019–2023), Buenos Aires, Argentina
| | - Josefina Campos
- Instituto Nacional de Enfermedades Infecciosas-ANLIS “Dr. Carlos G. Malbrán”, Buenos Aires, Argentina
| | - Cecilia Sorhouet Pereira
- Instituto Nacional de Enfermedades Infecciosas-ANLIS “Dr. Carlos G. Malbrán”, Buenos Aires, Argentina
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Arteta-Acosta C, Villena R, Hormazabal JC, Fernández J, Santolaya ME. Whole-genome sequencing of Neisseria meningitidis collected in Chile from pediatric patients during 2016-2019 and coverage vaccine prediction. Vaccine 2024; 42:126311. [PMID: 39276620 DOI: 10.1016/j.vaccine.2024.126311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 08/05/2024] [Accepted: 08/29/2024] [Indexed: 09/17/2024]
Abstract
BACKGROUND Over the past few years, whole-genome sequencing (WGS) has become a valuable tool for global meningococcal surveillance. The objective of this study was to genetically characterize Neisseria meningitidis strains isolated from children in Chile through WGS and predicting potential vaccine coverage using gMATS and MenDeVAR. METHODS WGS of 42 N.meningitidis from pediatric patients were processed and assembled using different software. We analyzed genomes with BIGSdb platform hosted at PubMLST.org, and predicted vaccine coverage using MenDeVAR and gMATS tools. RESULTS Among 42 strains, 25 were MenB, 16 MenW, and 1 MenC. The cc11 and cc 41/44 were the most frequents. The main frequent deduced peptide sequence for PorA was P1.5,2 (40 %), peptide P1.4 was present in one MenB strain; NHBA-29 (64 %), none having peptide 2; fHbp-2 (76 %), one strain had peptide-1, and two had peptide 45; NadA was detected in 52 %, peptide-6 was present in 84 %, none had peptide 8. The MenDeVAR index predicted a coverage in MenB strains for 4CMenB 8 % exact matches, 12 % cross-reactivity, 8 % not coverage and 64 % had insufficient data. gMATS predicted 16 % was covered, 8 % not covered and 76 % unpredictable, and overall coverage of 54 %. For rLP2086-fHbp, the MenDeVAR index predicted exact match in 8 %, cross-reactivity in 64 %, and insufficient data in 28 % and an overall coverage of 72 %. In non-MenB strains, the MenDeVAR index predicted for 4CMenB vaccine: cross-reactivity 88 %, 6 % for not covered and insufficient data. For rLP2086-fHbp, predicted cross-reactivity 12 % and insufficient data in 88 %. gMATS predicted an overall coverage of 50 % for Non-MenB. CONCLUSION genetic variability of the Chilean strains that its different from other countries, and until now limit the coverage prediction of vaccine with the available tools like gMATS and MenDeVAR.
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Affiliation(s)
- Cindy Arteta-Acosta
- MD, MPH Epidemiology, PhD (c) Medical Science, Universidad de Chile, 8380453, Chile.
| | - Rodolfo Villena
- Infectious Diseases Unit, Hospital de niños Dr. Exequiel González Cortés, 8900000, Chile; Department of Pediatrics, Faculty of Medicine, Universidad de Chile, 8380453, Chile.
| | | | | | - María Elena Santolaya
- Department of Pediatrics, Faculty of Medicine, Universidad de Chile, 8380453, Chile; Infectious Diseases Unit, Hospital de niños Dr. Luis Calvo Mackenna, 7500000, Chile.
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Muzzi A, Lu MC, Mori E, Biolchi A, Fu T, Serino L. Prediction by genetic MATS of 4CMenB vaccine strain coverage of invasive meningococcal serogroup B isolates circulating in Taiwan between 2003 and 2020. mSphere 2024; 9:e0022024. [PMID: 38752729 PMCID: PMC11338074 DOI: 10.1128/msphere.00220-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 04/01/2024] [Indexed: 06/26/2024] Open
Abstract
Neisseria meningitidis serogroup B (NmB) strains have diverse antigens, necessitating methods for predicting meningococcal serogroup B (MenB) vaccine strain coverage. The genetic Meningococcal Antigen Typing System (gMATS), a correlate of MATS estimates, predicts strain coverage by the 4-component MenB (4CMenB) vaccine in cultivable and non-cultivable NmB isolates. In Taiwan, 134 invasive, disease-causing NmB isolates were collected in 2003-2020 (23.1%, 4.5%, 5.2%, 29.8%, and 37.3% from individuals aged ≤11 months, 12-23 months, 2-4 years, 5-29 years, and ≥30 years, respectively). NmB isolates were characterized by whole-genome sequencing and vaccine antigen genotyping, and 4CMenB strain coverage was predicted using gMATS. Analysis of phylogenetic relationships with 502 global NmB genomes showed that most isolates belonged to three global hyperinvasive clonal complexes: ST-4821 (27.6%), ST-32 (23.9%), and ST-41/44 (14.9%). Predicted strain coverage by gMATS was 62.7%, with 27.6% isolates covered, 2.2% not covered, and 66.4% unpredictable by gMATS. Age group coverage point estimates ranged from 42.9% (2-4 years) to 66.1% (≤11 months). Antigen coverage estimates and percentages predicted as covered/not covered were highly variable, with higher estimates for isolates with one or more gMATS-positive antigens than for isolates positive for one 4CMenB antigen. In conclusion, this first study on NmB strain coverage by 4CMenB in Taiwan shows 62.7% coverage by gMATS, with predictable coverage for 29.8% of isolates. These could be underestimated since the gMATS calculation does not consider synergistic mechanisms associated with simultaneous antibody binding to multiple targets elicited by multicomponent vaccines or the contributions of minor outer membrane vesicle vaccine components.IMPORTANCEMeningococcal diseases, caused by the bacterium Neisseria meningitidis (meningococcus), include meningitis and septicemia. Although rare, invasive meningococcal disease is often severe and can be fatal. Nearly all cases are caused by six meningococcal serogroups (types), including meningococcal serogroup B. Vaccines are available against meningococcal serogroup B, but the antigens targeted by these vaccines have highly variable genetic features and expression levels, so the effectiveness of vaccination may vary depending on the strains circulating in particular countries. It is therefore important to test meningococcal serogroup B strains isolated from specific populations to estimate the percentage of bacterial strains that a vaccine can protect against (vaccine strain coverage). Meningococcal isolates were collected in Taiwan between 2003 and 2020, of which 134 were identified as serogroup B. We did further investigations on these isolates, including using a method (called gMATS) to predict vaccine strain coverage by the 4-component meningococcal serogroup B vaccine (4CMenB).
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Affiliation(s)
| | - Min-Chi Lu
- School of Medicine,
China Medical University,
Taichung, Taiwan
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Baloche A, Dussart C, Bedouch P, Carrouel F, Mick G. Epidemiology and Clinical Burden of Meningococcal Disease in France: Scoping Review. J Clin Med 2023; 12:849. [PMID: 36769498 PMCID: PMC9917955 DOI: 10.3390/jcm12030849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/03/2023] [Accepted: 01/14/2023] [Indexed: 01/25/2023] Open
Abstract
Invasive meningococcal disease (IMD) remains a significant health concern due to its unpredictable nature and its rapid progression. Even if occurrence of IMD is strictly monitored by a national surveillance network, no information on long-term sequelae is reported, making it difficult to assess the entire clinical burden of IMD in France. The aim of this scoping review was to analyze the epidemiology and the clinical burden of IMD in France by reporting the main epidemiological parameters, and by describing the clinical consequences and the care pathway of patients. The process of the review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension to the Scoping Reviews guidelines. In France, the incidence of IMD cases has been fluctuating over time, characterized by an overall downward trend linked to a decrease in Sg B cases and the introduction of mandatory vaccination against Sg C. Sg W cases increased in recent years (from 5% to 21% in 2019). The case fatality rate remained constant (6-12.9%). The most frequently reported sequelae were severe neurological disorder, epilepsy, and anxiety. However, data on sequelae and care pathways were scarce. Further research should concentrate on providing robust identification of sequelae and the subsequent impact on quality of life, as well as on the organization of optimal care and support for patients and their families.
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Affiliation(s)
- Alexiane Baloche
- Health Systemic Process (P2S), Unit Research UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008 Lyon, France
- University Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC Research Laboratory, 38700 Grenoble, France
| | - Claude Dussart
- Health Systemic Process (P2S), Unit Research UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008 Lyon, France
- Hospices Civils de Lyon, 69002 Lyon, France
| | - Pierrick Bedouch
- University Grenoble Alpes, CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC Research Laboratory, 38700 Grenoble, France
- Pharmacy Departement, CHU Grenoble Alpes, 38700 Grenoble, France
| | - Florence Carrouel
- Health Systemic Process (P2S), Unit Research UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008 Lyon, France
| | - Gérard Mick
- Health Systemic Process (P2S), Unit Research UR4129, University Claude Bernard Lyon 1, University of Lyon, 69008 Lyon, France
- Pain Center, Voiron Hospital, CHU Grenoble Alpes, 38500 Grenoble, France
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Borrow R, Martinón-Torres F, Abitbol V, Andani A, Preiss S, Muzzi A, Serino L, Sohn WY. Use of expanded Neisseria meningitidis serogroup B panels with the serum bactericidal antibody assay for the evaluation of meningococcal B vaccine effectiveness. Expert Rev Vaccines 2023; 22:738-748. [PMID: 37622470 DOI: 10.1080/14760584.2023.2244596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 08/01/2023] [Indexed: 08/26/2023]
Abstract
INTRODUCTION Neisseria meningitidis serogroup B (NmB) antigens are inherently diverse with variable expression among strains. Prediction of meningococcal B (MenB) vaccine effectiveness therefore requires an assay suitable for use against large panels of epidemiologically representative disease-causing NmB strains. Traditional serum bactericidal antibody assay using exogenous human complement (hSBA) is limited to the quantification of MenB vaccine immunogenicity on a small number of indicator strains. AREAS COVERED Additional and complementary methods for assessing strain coverage developed previously include the Meningococcal Antigen Typing System (MATS), Meningococcal Antigen Surface Expression (MEASURE) assay, and genotyping approaches, but these do not estimate vaccine effectiveness. We provide a narrative review of these methods, highlighting a more recent approach involving the hSBA assay in conjunction with expanded NmB strain panels: hSBA assay using endogenous complement in each vaccinated person's serum (enc-hSBA) against a 110-strain NmB panel and the traditional hSBA assay against 14 (4 + 10) NmB strains. EXPERT OPINION The enc-hSBA is a highly standardized, robust method that can be used in clinical trials to measure the immunological effectiveness of MenB vaccines under conditions that mimic real-world settings as closely as possible, through the use of endogenous complement and a diverse, epidemiologically representative panel of NmB strains.
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Affiliation(s)
- Ray Borrow
- Meningococcal Reference Unit, UK Health Security Agency, Manchester Royal Infirmary, Manchester, UK
| | - Federico Martinón-Torres
- Pediatrics Research Group (GENVIP), Instituto de Investigación Sanitaria de Santiago and Universidad de Santiago de Compostela, Galicia, Spain
- Translational Pediatrics and Infectious Diseases, Pediatrics Department, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain
- Consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
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Sereikaitė E, Plepytė R, Petrutienė A, Stravinskienė D, Kučinskaitė-Kodzė I, Gėgžna V, Ivaškevičienė I, Žvirblienė A, Plečkaitytė M. Molecular characterization of invasive Neisseria meningitidis isolates collected in Lithuania (2009-2019) and estimation of serogroup B meningococcal vaccine 4CMenB and MenB-Fhbp coverage. Front Cell Infect Microbiol 2023; 13:1136211. [PMID: 36875527 PMCID: PMC9975601 DOI: 10.3389/fcimb.2023.1136211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
Neisseria meningitidis causes invasive meningococcal disease (IMD), which is associated with significant mortality and long-term consequences, especially among young children. The incidence of IMD in Lithuania was among the highest in European Union/European Economic Area countries during the past two decades; however, the characterization of meningococcal isolates by molecular typing methods has not yet been performed. In this study, we characterized invasive meningococcal isolates (n=294) recovered in Lithuania from 2009 to 2019 by multilocus sequence typing (MLST) and typing of antigens FetA and PorA. The more recent (2017-2019) serogroup B isolates (n=60) were genotyped by analyzing vaccine-related antigens to evaluate their coverage by four-component (4CMenB) and two-component (MenB-Fhbp) vaccines using the genetic Meningococcal Antigen Typing System (gMATS) and Meningococcal Deduced Vaccine Antigen Reactivity (MenDeVAR) Index methods, respectively. The vast majority (90.5%) of isolates belonged to serogroup B. MLST revealed a predominance of clonal complex 32 (74.02%). Serogroup B strain P1.19,15: F4-28: ST-34 (cc32) accounted for 64.1% of IMD isolates. The overall level of strain coverage by the 4MenB vaccine was 94.8% (CI 85.9-98.2%). Most serogroup B isolates (87.9%) were covered by a single vaccine antigen, most commonly Fhbp peptide variant 1 (84.5% of isolates). The Fhbp peptides included in the MenB-Fhbp vaccine were not detected among the analyzed invasive isolates; however, the identified predominant variant 1 was considered cross-reactive. In total, 88.1% (CI 77.5-94.1) of isolates were predicted to be covered by the MenB-Fhbp vaccine. In conclusion, both serogroup B vaccines demonstrate potential to protect against IMD in Lithuania.
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Affiliation(s)
- Emilija Sereikaitė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Rūta Plepytė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Aurelija Petrutienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
- Department of Bacteriology, National Public Health Surveillance Laboratory, Vilnius, Lithuania
| | - Dovilė Stravinskienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | | | - Vilmantas Gėgžna
- Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Inga Ivaškevičienė
- Clinic of Children’s Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
- Pediatric Center, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - Aurelija Žvirblienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Milda Plečkaitytė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
- *Correspondence: Milda Plečkaitytė,
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Genetic Features of a Representative Panel of 110 Meningococcal B Isolates to Assess the Efficacy of Meningococcal B Vaccines. mSphere 2022; 7:e0038522. [PMID: 36129279 PMCID: PMC9599336 DOI: 10.1128/msphere.00385-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Predictions of vaccine efficacy against Neisseria meningitidis serogroup B (NmB) disease are hindered by antigenic variability, limiting the representativeness of individual NmB isolates. A qualitative human serum bactericidal assay using endogenous complements of individual subjects (enc-hSBA) enables large panels of NmB isolates to be tested. A 110-isolate panel was randomly selected from 442 invasive NmB isolates from United States cases reported to the Centers for Disease Control (CDC) from 2000 to 2008. Typing analyses confirmed the 110-isolate panel is representative of the 442 isolates. The genetic features of the 110-isolate panel were compared against over 4,200 invasive NmB isolates collected from 2000 to 2018 in the United States, Australia, Canada, and nine European countries. Clonal complexes in the 110-isolate panel are also present in each geographical region; cumulative percentages show that these account for around 81% of the clonal complexes found in NmB isolates in other panels. For the antigens (fHbp, NHBA, PorA1.4, NadA) included in the currently licensed meningococcal serogroup B (MenB) vaccines, specifically considering the presence of at least one antigen with a matched genotype, the 110-isolate panel represents approximately 89% of the NmB isolates circulating worldwide, ranging from 87% for the European isolates to 95% and 97% for NmB isolates in the United States and Australia, respectively. The 110-isolate panel includes the most prevalent clonal complexes and genetic variants of MenB vaccine antigens found in a multinational collection of invasive NmB isolates. This panel is useful for assessing the efficacy of MenB vaccines in clinical trials worldwide. IMPORTANCENeisseria meningitidis serogroup B (NmB) is a major cause of invasive meningococcal disease (IMD). Predicting the effectiveness of vaccines against NmB is difficult because NmB is an uncommon disease and because antigens targeted by meningococcal serogroup B (MenB) vaccines have highly variable genetic features and expression levels. Therefore, a large number of NmB isolates from different regions would need to be tested to comprehensively assess vaccine effectiveness. We examined a panel of 110 isolates obtained from NmB IMD cases in the United States and compared the genetic features of this panel with those of panels from different countries around the world. We found the 110-isolate panel included the most common clonal complexes and genetic variants of MenB vaccine antigens that exist in the global collections of invasive NmB isolates. This confirms the value of the NmB 110-isolate panel in understanding the effectiveness of MenB vaccines in clinical trials worldwide.
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