Role of PulseNet in Listeriosis Surveillance and Outbreak Investigations
Lewis M. Graves and Bala Swaminathan Foodborne and Diarrheal Diseases Branch National Center for Infectious Diseases Centers for Disease Control and Prevention
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Role of PulseNet in Listeriosis Surveillance and Outbreak Investigations Lewis M. Graves and Bala Swaminathan Foodborne and Diarrheal Diseases Branch National Center for Infectious Diseases Centers for Disease Control and Prevention Outline
Lewis M. Graves and Bala Swaminathan Foodborne and Diarrheal Diseases Branch National Center for Infectious Diseases Centers for Disease Control and Prevention
Laboratory-based Surveillance for Listeriosis What is PulseNet—The Role of PulseNet Listeria monocytogenes (Lm) on PulseNet (Goals) Examples of PulseNet at work in Epidemiologic
Investigations
Multistate Outbreak of Listeriosis—United States, 1998
Tracking of Epidemic Clones
PulseNet at Work – Deli turkey meat outbreak, 2000 Listeriosis Outbreak, Northeastern United States – 2002 PulseNet: Future Improvements Conclusions
Classical typing method based on somatic (O) and flagellar (H) antigens Excellent first level typing method >95% of human Lm infections belong to serotypes 1/2a, 1/2b, and 4b
Ribotyping
Satisfies two requirements for a good subtyping method: typeability and
reproducibility
Discriminating ability, particularly for serotype 4b, may not be adequate for
epidemiological investigations
Automated robotic system commercially available (RiboPrinter, Qualicon) Adequate for screening food processing plant environments
Molecular subtyping method based on DNA macrorestriction analysis Satisfies the requirements for a good subtyping method: typeability,
reproducibility, and high discriminating ability
Excellent tool for epidemiological investigations
A national network of public health laboratories State health departments, Local health departments,
Federal agencies (CDC, USDA/FSIS, FDA)
Perform standardized molecular typing of
foodborne disease-causing bacteria by Pulsed- field gel electrophoresis (PFGE)
Share DNA “fingerprints” electronically via
Internet
Dynamic database of DNA “fingerprints” at CDC Database available on-demand to participants
Detect foodborne disease case clusters by PFGE Facilitate early identification of common source
Assist epidemiologists in investigating outbreaks Separate outbreak-associated cases from other sporadic
cases
Assist in rapidly identifying the source of outbreaks Act as a rapid and effective means of communication
between public health laboratories
Early recognition Investigation Identify appropriate controls for case-control
Confirm Food etiology Confirm environmental association Identification of potential virulent and avirulent
Tracking of epidemic clones
monocytogenes PFGE subtyping was done by CDC and only 1 or 2 public health laboratories
101 outbreak-related cases
packages of Franks and unopened packages obtained from Plant B
MPN below the minimum quantifiable limit of 3-tube MPN
positive for L. monocytogenes serotype 1/2a
No patient isolate match found Product had been distributed and consumed, but no illness to this product
were identified
Small number of closely related strains of Lm serotype 4b Implicated in numerous outbreaks of foodborne listeriosis during
the past 2 decades in Europe and North America including those in Nova Scotia (coleslaw, 1981), California (Mexican-style cheese, 1985), Switzerland (soft cheese, ), France (pork tongue in aspic, 1992), and others)
Lm serotype 4b, may represent a novel epidemic-associated
lineage
Identified in the 1998 hot dog outbreak Differed significantly in a portion of the genome that was
Evans et al. (2004) Manuscript in press, AEM
Laboratory on PulseNet Listserv: 8 L. monocytogenes isolates of the same Ribotype and PFGE type in previous 3 months
Search of the National database and replies by
participants identified matching isolates from 7 other states
Epi investigation led to implication of deli turkey meat
product produced by a single food processing facility
Resulted in a recall of 16.8 million pound of product No additional matches seen after recall
AscI ApaI
separate outbreak related cases from sporadic cases
135 cases between 7/2 – 10/4 46 were the same PFGE pattern
samples and subtyped Listeria monocytogenes isolates
and in intact product from Plant B
AscI ApaI AscI S P F F P F F S P F F P F F S
P= Patient isolate pattern F= Food isolate pattern; S=Standard (H2446)
Dendrogram showing 186 isolates patterns collected July 1 through Nov. 30, 2002. ApaI pattern for AscI outbreak is shown on the right. Outbreak associated PFGE profile: AscI;ApaI: GX6A16.0235; GX6A12.0003 ApaI AscI
Achieve real-time subtyping and real-time
communication
Reduce the time it takes for isolates to go from clinical
lab to the state/local public health lab
Reduce the time for PFGE testing of isolates Critical for timely detection of clusters Timely assignment of PulseNet designations for
PFGE patterns
Strengthen collaborations with food industry
PFGE is a valuable part of epidemiologic
It allows separation outbreak from sporadic
Identify cases that are likely to be linked Help trace source of contamination