Evaluation of pulsed-field gel electrophoresis in epidemiological investigations of meningococcal disease outbreaks caused by Neisseria meningitidis serogroup C

被引:73
作者
Popovic, T
Schmink, S
Rosenstein, NA
Ajello, GW
Reeves, MW
Plikaytis, B
Hunter, SB
Ribot, EM
Boxrud, D
Tondella, ML
Kim, C
Noble, C
Mothershed, E
Besser, J
Perkins, BA
机构
[1] Ctr Dis Control & Prevent, Epidem Invest Lab, Meningitis & Special Pathogens Branch, DBMD,NCID, Atlanta, GA 30333 USA
[2] Ctr Dis Control & Prevent, Biostat & Informat Management Branch, Div Bacterial & Mycot Dis, Natl Ctr Infect Dis, Atlanta, GA 30333 USA
[3] Ctr Dis Control & Prevent, Foodborne & Diarrheal Dis Branch, Div Bacterial & Mycot Dis, Natl Ctr Infect Dis, Atlanta, GA 30333 USA
[4] Ctr Dis Control & Prevent, Resp Dis Branch, Div Bacterial & Mycot Dis, Natl Ctr Infect Dis, Atlanta, GA 30333 USA
[5] Minnesota Dept Hlth, Minneapolis, MN USA
关键词
D O I
10.1128/JCM.39.1.75-85.2001
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Since 1990, the frequency of Neisseria meningitidis serogroup C (NMSC) outbreaks in the United States has increased. Based on multilocus enzyme electrophoresis (MEE), the current molecular subtyping standard, most of the NMSC outbreaks have been caused by isolates of several closely related electrophoretic types (ETs) within the ET-37 complex. We chose 66 isolates from four well-described NMSC outbreaks that occurred in the United States from 1993 to 1995 to evaluate the potential of pulsed-field gel electrophoresis (PFGE) to identify outbreak-related isolates specific for each of the four outbreaks and to differentiate between them and 50 sporadic isolates collected during the outbreak investigations or through active laboratory-based surveillance from 1989 to 1996. We tested all isolates collected during the outbreak investigations by four other molecular subtyping methods: MEE, ribotyping (ClaI), random amplified polymorphic DNA assay (two primers), and serotyping and serosubtyping. Among the 116 isolates, we observed 11 clusters of 39 NheI PFGE patterns. Excellent correlation between the PFGE and the epidemiological data was observed, with an overall sensitivity of 85% and specificity of 71% at the 95% pattern relatedness breakpoint using either 1.5 or 1.0% tolerance. For all four analyzed outbreaks, PFGE would have given public health officials additional support in declaring an outbreak and making appropriate public health decisions.
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页码:75 / 85
页数:11
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