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Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017
INTRODUCTION: The study presents the results of the genomic surveillance of invasive meningococcal disease (IMD) in the Czech Republic for the period of 2015–2017. MATERIAL AND METHODS: The study set includes all available IMD isolates recovered in the Czech Republic and referred to the National Ref...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622526/ https://www.ncbi.nlm.nih.gov/pubmed/31295279 http://dx.doi.org/10.1371/journal.pone.0219477 |
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author | Krizova, Pavla Honskus, Michal |
author_facet | Krizova, Pavla Honskus, Michal |
author_sort | Krizova, Pavla |
collection | PubMed |
description | INTRODUCTION: The study presents the results of the genomic surveillance of invasive meningococcal disease (IMD) in the Czech Republic for the period of 2015–2017. MATERIAL AND METHODS: The study set includes all available IMD isolates recovered in the Czech Republic and referred to the National Reference Laboratory for Meningococcal Infections in 2015–2017, a total of 89 Neissseria meningitidis isolates—from 2015 (n = 20), 2016 (n = 27), and from 2017 (n = 42). All isolates were studied by whole genome sequencing (WGS). RESULTS: Serogroup B (MenB) was the most common, followed by serogroups C, W, and Y. Altogether 17 clonal complexes were identified, the most common of which was hypervirulent complex cc11, followed by complexes cc32, cc41/44, cc269, and cc865. Over the three study years, hypervirulent cc11 (MenC) showed an upward trend. The WGS method showed two clearly differentiated clusters of N. meningitidis C: P1.5,2:F3-3:ST-11 (cc11). The first cluster is represented by nine isolates, all of which are from 2017. The second cluster consisted of five isolates from 2016 and eight isolates from 2017. Their genetic discordance is illustrated by the changing nadA allele and subsequently by the variance in BAST type. Clonal complex cc269 (MenB) also increased over the time frame. WGS identified the presence of MenB vaccine antigen genes in all B and non-B isolates of N. meningitidis. Altogether 49 different Bexsero antigen sequence types (BAST) were identified and 10 combinations of these have not been previously described in the PubMLST database. CONCLUSIONS: The genomic surveillance of IMD in the Czech Republic provides data needed to update immunisation guidelines for this disease. WGS showed a higher discrimination power and provided more accurate data on molecular characteristics and genetic relationships among invasive N. meningitidis isolates. |
format | Online Article Text |
id | pubmed-6622526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66225262019-07-25 Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 Krizova, Pavla Honskus, Michal PLoS One Research Article INTRODUCTION: The study presents the results of the genomic surveillance of invasive meningococcal disease (IMD) in the Czech Republic for the period of 2015–2017. MATERIAL AND METHODS: The study set includes all available IMD isolates recovered in the Czech Republic and referred to the National Reference Laboratory for Meningococcal Infections in 2015–2017, a total of 89 Neissseria meningitidis isolates—from 2015 (n = 20), 2016 (n = 27), and from 2017 (n = 42). All isolates were studied by whole genome sequencing (WGS). RESULTS: Serogroup B (MenB) was the most common, followed by serogroups C, W, and Y. Altogether 17 clonal complexes were identified, the most common of which was hypervirulent complex cc11, followed by complexes cc32, cc41/44, cc269, and cc865. Over the three study years, hypervirulent cc11 (MenC) showed an upward trend. The WGS method showed two clearly differentiated clusters of N. meningitidis C: P1.5,2:F3-3:ST-11 (cc11). The first cluster is represented by nine isolates, all of which are from 2017. The second cluster consisted of five isolates from 2016 and eight isolates from 2017. Their genetic discordance is illustrated by the changing nadA allele and subsequently by the variance in BAST type. Clonal complex cc269 (MenB) also increased over the time frame. WGS identified the presence of MenB vaccine antigen genes in all B and non-B isolates of N. meningitidis. Altogether 49 different Bexsero antigen sequence types (BAST) were identified and 10 combinations of these have not been previously described in the PubMLST database. CONCLUSIONS: The genomic surveillance of IMD in the Czech Republic provides data needed to update immunisation guidelines for this disease. WGS showed a higher discrimination power and provided more accurate data on molecular characteristics and genetic relationships among invasive N. meningitidis isolates. Public Library of Science 2019-07-11 /pmc/articles/PMC6622526/ /pubmed/31295279 http://dx.doi.org/10.1371/journal.pone.0219477 Text en © 2019 Krizova, Honskus http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Krizova, Pavla Honskus, Michal Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title | Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title_full | Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title_fullStr | Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title_full_unstemmed | Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title_short | Genomic surveillance of invasive meningococcal disease in the Czech Republic, 2015-2017 |
title_sort | genomic surveillance of invasive meningococcal disease in the czech republic, 2015-2017 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622526/ https://www.ncbi.nlm.nih.gov/pubmed/31295279 http://dx.doi.org/10.1371/journal.pone.0219477 |
work_keys_str_mv | AT krizovapavla genomicsurveillanceofinvasivemeningococcaldiseaseintheczechrepublic20152017 AT honskusmichal genomicsurveillanceofinvasivemeningococcaldiseaseintheczechrepublic20152017 |