Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide

Detalhes bibliográficos
Autor(a) principal: Muzzi, Alessandro
Data de Publicação: 2019
Outros Autores: Brozzi, Alessandro, Serino, Laura, Bodini, Margherita, Abad, Raquel, Caugant, Dominique, Comanducci, Maurizio, Lemos, Ana Paula, Gorla, Maria Cecilia, Křížová, Pavla, Mikula, Claudia, Mulhall, Robert, Nissen, Michael, Nohynek, Hanna, Simões, Maria João, Skoczyńska, Anna, Stefanelli, Paola, Taha, Muhamed-Kheir, Toropainen, Maija, Tzanakaki, Georgina, Vadivelu-Pechai, Kumaran, Watson, Philip, Vazquez, Julio A., Rajam, Gowrisankar, Rappuoli, Rino, Borrow, Ray, Medini, Duccio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/6634
Resumo: Background: The Meningococcal Antigen Typing System (MATS) was developed to identify meningococcus group B strains with a high likelihood of being covered by the 4CMenB vaccine, but is limited by the requirement for viable isolates from culture-confirmed cases. We examined if antigen genotyping could complement MATS in predicting strain coverage by the 4CMenB vaccine. Methods: From a panel of 3912 MATS-typed invasive meningococcal disease isolates collected in England and Wales in 2007-2008, 2014-2015 and 2015-2016, and in 16 other countries in 2000-2015, 3481 isolates were also characterized by antigen genotyping. Individual associations between antigen genotypes and MATS coverage for each 4CMenB component were used to define a genetic MATS (gMATS). gMATS estimates were compared with England and Wales human complement serum bactericidal assay (hSBA) data and vaccine effectiveness (VE) data from England. Results: Overall, 81% of the strain panel had genetically predictable MATS coverage, with 92% accuracy and highly concordant results across national panels (Lin's accuracy coefficient, 0.98; root-mean-square deviation, 6%). England and Wales strain coverage estimates were 72-73% by genotyping (66-73% by MATS), underestimating hSBA values after four vaccine doses (88%) and VE after two doses (83%). The gMATS predicted strain coverage in other countries was 58-88%. Conclusions: gMATS can replace MATS in predicting 4CMenB strain coverage in four out of five cases, without requiring a cultivable isolate, and is open to further improvement. Both methods underestimated VE in England. Strain coverage predictions in other countries matched or exceeded England and Wales estimates.
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spelling Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide4CMenB VaccineGenotypingNeisseria meningitidis Serogroup BStrain CoveragegMATSInfecções RespiratóriasBackground: The Meningococcal Antigen Typing System (MATS) was developed to identify meningococcus group B strains with a high likelihood of being covered by the 4CMenB vaccine, but is limited by the requirement for viable isolates from culture-confirmed cases. We examined if antigen genotyping could complement MATS in predicting strain coverage by the 4CMenB vaccine. Methods: From a panel of 3912 MATS-typed invasive meningococcal disease isolates collected in England and Wales in 2007-2008, 2014-2015 and 2015-2016, and in 16 other countries in 2000-2015, 3481 isolates were also characterized by antigen genotyping. Individual associations between antigen genotypes and MATS coverage for each 4CMenB component were used to define a genetic MATS (gMATS). gMATS estimates were compared with England and Wales human complement serum bactericidal assay (hSBA) data and vaccine effectiveness (VE) data from England. Results: Overall, 81% of the strain panel had genetically predictable MATS coverage, with 92% accuracy and highly concordant results across national panels (Lin's accuracy coefficient, 0.98; root-mean-square deviation, 6%). England and Wales strain coverage estimates were 72-73% by genotyping (66-73% by MATS), underestimating hSBA values after four vaccine doses (88%) and VE after two doses (83%). The gMATS predicted strain coverage in other countries was 58-88%. Conclusions: gMATS can replace MATS in predicting 4CMenB strain coverage in four out of five cases, without requiring a cultivable isolate, and is open to further improvement. Both methods underestimated VE in England. Strain coverage predictions in other countries matched or exceeded England and Wales estimates.This work was supported by GlaxoSmithKline Biologicals SA,including all costs associated with the development and publishingof the manuscript.Elsevier/ GlaxoSmithKline Biologicals SA.Repositório Científico do Instituto Nacional de SaúdeMuzzi, AlessandroBrozzi, AlessandroSerino, LauraBodini, MargheritaAbad, RaquelCaugant, DominiqueComanducci, MaurizioLemos, Ana PaulaGorla, Maria CeciliaKřížová, PavlaMikula, ClaudiaMulhall, RobertNissen, MichaelNohynek, HannaSimões, Maria JoãoSkoczyńska, AnnaStefanelli, PaolaTaha, Muhamed-KheirToropainen, MaijaTzanakaki, GeorginaVadivelu-Pechai, KumaranWatson, PhilipVazquez, Julio A.Rajam, GowrisankarRappuoli, RinoBorrow, RayMedini, Duccio2020-05-09T15:15:10Z2019-02-082019-02-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/6634engVaccine. 2019 Feb 8;37(7):991-1000. doi: 10.1016/j.vaccine.2018.12.061. Epub 2019 Jan 170264-410X10.1016/j.vaccine.2018.12.061info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:41:46Zoai:repositorio.insa.pt:10400.18/6634Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:41:43.359913Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
title Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
spellingShingle Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
Muzzi, Alessandro
4CMenB Vaccine
Genotyping
Neisseria meningitidis Serogroup B
Strain Coverage
gMATS
Infecções Respiratórias
title_short Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
title_full Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
title_fullStr Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
title_full_unstemmed Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
title_sort Genetic Meningococcal Antigen Typing System (gMATS): A genotyping tool that predicts 4CMenB strain coverage worldwide
author Muzzi, Alessandro
author_facet Muzzi, Alessandro
Brozzi, Alessandro
Serino, Laura
Bodini, Margherita
Abad, Raquel
Caugant, Dominique
Comanducci, Maurizio
Lemos, Ana Paula
Gorla, Maria Cecilia
Křížová, Pavla
Mikula, Claudia
Mulhall, Robert
Nissen, Michael
Nohynek, Hanna
Simões, Maria João
Skoczyńska, Anna
Stefanelli, Paola
Taha, Muhamed-Kheir
Toropainen, Maija
Tzanakaki, Georgina
Vadivelu-Pechai, Kumaran
Watson, Philip
Vazquez, Julio A.
Rajam, Gowrisankar
Rappuoli, Rino
Borrow, Ray
Medini, Duccio
author_role author
author2 Brozzi, Alessandro
Serino, Laura
Bodini, Margherita
Abad, Raquel
Caugant, Dominique
Comanducci, Maurizio
Lemos, Ana Paula
Gorla, Maria Cecilia
Křížová, Pavla
Mikula, Claudia
Mulhall, Robert
Nissen, Michael
Nohynek, Hanna
Simões, Maria João
Skoczyńska, Anna
Stefanelli, Paola
Taha, Muhamed-Kheir
Toropainen, Maija
Tzanakaki, Georgina
Vadivelu-Pechai, Kumaran
Watson, Philip
Vazquez, Julio A.
Rajam, Gowrisankar
Rappuoli, Rino
Borrow, Ray
Medini, Duccio
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Muzzi, Alessandro
Brozzi, Alessandro
Serino, Laura
Bodini, Margherita
Abad, Raquel
Caugant, Dominique
Comanducci, Maurizio
Lemos, Ana Paula
Gorla, Maria Cecilia
Křížová, Pavla
Mikula, Claudia
Mulhall, Robert
Nissen, Michael
Nohynek, Hanna
Simões, Maria João
Skoczyńska, Anna
Stefanelli, Paola
Taha, Muhamed-Kheir
Toropainen, Maija
Tzanakaki, Georgina
Vadivelu-Pechai, Kumaran
Watson, Philip
Vazquez, Julio A.
Rajam, Gowrisankar
Rappuoli, Rino
Borrow, Ray
Medini, Duccio
dc.subject.por.fl_str_mv 4CMenB Vaccine
Genotyping
Neisseria meningitidis Serogroup B
Strain Coverage
gMATS
Infecções Respiratórias
topic 4CMenB Vaccine
Genotyping
Neisseria meningitidis Serogroup B
Strain Coverage
gMATS
Infecções Respiratórias
description Background: The Meningococcal Antigen Typing System (MATS) was developed to identify meningococcus group B strains with a high likelihood of being covered by the 4CMenB vaccine, but is limited by the requirement for viable isolates from culture-confirmed cases. We examined if antigen genotyping could complement MATS in predicting strain coverage by the 4CMenB vaccine. Methods: From a panel of 3912 MATS-typed invasive meningococcal disease isolates collected in England and Wales in 2007-2008, 2014-2015 and 2015-2016, and in 16 other countries in 2000-2015, 3481 isolates were also characterized by antigen genotyping. Individual associations between antigen genotypes and MATS coverage for each 4CMenB component were used to define a genetic MATS (gMATS). gMATS estimates were compared with England and Wales human complement serum bactericidal assay (hSBA) data and vaccine effectiveness (VE) data from England. Results: Overall, 81% of the strain panel had genetically predictable MATS coverage, with 92% accuracy and highly concordant results across national panels (Lin's accuracy coefficient, 0.98; root-mean-square deviation, 6%). England and Wales strain coverage estimates were 72-73% by genotyping (66-73% by MATS), underestimating hSBA values after four vaccine doses (88%) and VE after two doses (83%). The gMATS predicted strain coverage in other countries was 58-88%. Conclusions: gMATS can replace MATS in predicting 4CMenB strain coverage in four out of five cases, without requiring a cultivable isolate, and is open to further improvement. Both methods underestimated VE in England. Strain coverage predictions in other countries matched or exceeded England and Wales estimates.
publishDate 2019
dc.date.none.fl_str_mv 2019-02-08
2019-02-08T00:00:00Z
2020-05-09T15:15:10Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/6634
url http://hdl.handle.net/10400.18/6634
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Vaccine. 2019 Feb 8;37(7):991-1000. doi: 10.1016/j.vaccine.2018.12.061. Epub 2019 Jan 17
0264-410X
10.1016/j.vaccine.2018.12.061
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier/ GlaxoSmithKline Biologicals SA.
publisher.none.fl_str_mv Elsevier/ GlaxoSmithKline Biologicals SA.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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