%0 Journal Article %T Detection of a geographical and endemic cluster of hyper-invasive meningococcal strains. %+ Institut Scientifique de Santé Publique [Belgique] - Scientific Institute of Public Health [Belgium] (WIV-ISP) %+ Centre de Recherche Médicale et Sanitaire (Niamey, Niger) (CERMES) %+ Infections Bactériennes Invasives %A Bertrand, Sophie %A van Meervenne, Eva %A de Baere, Thierry %A Vanhoof, Raymond %A Collard, Jean-Marc %A Ruckly, Corinne %A Taha, Muhamed-Kheir %A Carion, Françoise %Z In Belgium, this work was financed in part by the Federal Public Health Service. This publication made use of the Neisseria Multi Locus Sequence Typing website (http://pubmlst.org/neisseria/) developed by Keith Jolley and Man-Suen Chan and sited at the University of Oxford. The development of this site has been funded by the Wellcome Trust and European Union. %< avec comité de lecture %@ 1286-4579 %J Microbes and Infection %I Elsevier %V 13 %N 7 %P 684-690 %8 2011-07 %D 2011 %R 10.1016/j.micinf.2011.02.006 %M 21376133 %Z Life Sciences [q-bio]/Santé publique et épidémiologieJournal articles %X From 2006 to December 2009, 45 out of the 513 strains isolated from patients with invasive meningococcal disease in Belgium, were identified as Neisseria meningitidis serogroup B, non-serotypeable, subtype P1.14 (B:NT:P1.14). Most cases were geographically clustered in the northern part of the country. Multilocus Sequence Typing and antigen gene sequencing combined with Pulsed-Field Gel electrophoresis were used to investigate this cluster. Molecular typing showed that 39 out of these 45 N. meningitidis strains belonged to the clonal complex cc-269. The presence of the same PorA Variable Regions (VR1-VR2: 22, 14), the FetA allele (F5-1) and the highly similar Pulsed-Field Gel Electrophoresis profiles, supported genetic relatedness for 38 out of these 39 isolates. Retrospective analysis of B:NT:P1.22,14 isolates from 1999 onwards suggested that these strains belonging to the cc-269 complex, first emerged in the Belgian province of West-Flanders in 2004. This study showed that the combination of molecular tools with classical methods enabled reliable outbreak detection as well as a cluster identification. %G English %L pasteur-02093292 %U https://pasteur.hal.science/pasteur-02093292 %~ PASTEUR %~ RIIP %~ SANTE_PUB_INSERM %~ RIIP_CERMES %~ TEST3-HALCNRS