Most cited article - PubMed ID 26448302
Klonální analýza populace meningokoků z invazivního onemocnění a od zdravých nosičů izolovaných v České republice v období 1971--2014 (květen)
[Clonal analysis of the meningococcal populations from invasive disease and healthy carriers isolated in the Czech Republic in 1971-2014 (May)]
BACKGROUND: This study presents antigenic and genetic characteristics of Neisseria meningitidis strains recovered from invasive meningococcal disease (IMD) in the Czech Republic in 1971-2015. MATERIAL AND METHODS: A total of 1970 isolates from IMD, referred to the National Reference Laboratory for Meningococcal Infections in 1971-2015, were studied. All isolates were identified and characterized by conventional biochemical and serological tests. Most isolates (82.5%) were characterized by multilocus sequence typing method. RESULTS: In the study period 1971-2015, the leading serogroup was B (52.4%), most often assigned to clonal complexes cc32, cc41/44, cc18, and cc269. A significant percentage of strains were of serogroup C (41.4%), with high clonal homogeneity due to hyperinvasive complex cc11, which played an important role in IMD in the Czech Republic in the mid-1990s. Serogroup Y isolates, mostly assigned to cc23, and isolates of clonally homogeneous serogroup W have also been recovered more often over the last years. CONCLUSION: The incidence of IMD and distribution of serogroups and clonal complexes of N. meningitidis in the Czech Republic varied over time, as can be seen from the long-term monitoring, including molecular surveillance data. Data from the conventional and molecular IMD surveillance are helpful in refining the antimeningococcal vaccination strategy in the Czech Republic.
- MeSH
- Incidence MeSH
- Humans MeSH
- Meningococcal Infections diagnosis epidemiology microbiology MeSH
- Multilocus Sequence Typing MeSH
- Neisseria meningitidis genetics isolation & purification MeSH
- Serogroup MeSH
- Bacterial Typing Techniques MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Czech Republic epidemiology MeSH