Technology Bundle ID: TAB-2599

Simultaneous Detection of Non-pneumophila Legionella Strains Using Real-time PCR

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Licensing Contact:
Primary Inventors: 
Jonas Winchell (CDC)
Co-Inventors: 
Alvaro Benitez (CDC)
Therapeutic Area: 
Infectious Disease
Application: 
Diagnostics
Development Status: 
  • Pre-clinical
  • In vitro data available
Institute or Center: 
CDC

Legionnaires' disease is caused by a type of bacteria called Legionella. CDC scientists have developed a real-time multiplex PCR assay for diagnosis and identification of Legionella strains. The assay consists of five sets of primers (targeting L. bozemanii, L. dumoffii, L. feeleii, L. longbeachae, or L. micdadei) and corresponding probes. Each probe is labeled with a different fluorophore which allows the detection of a particular strain in a single tube reaction. Using this assay format, the presence of any one of the five pathogenic non-pneumophila strains of Legionella can be detected rapidly from clinical or environmental samples. Rapid and sensitive identification enables initiation of appropriate antibiotic therapy and identification of the source of bacteria so that proper public health responses may occur.

Applications:
  • Rapid and real-time assay to detect the presence of clinically relevant non-pneumophila Legionella strains.
Advantages:
  • Currently available tests are time consuming and labor intensive.
  • This assay enables rapid identification and differentiation on clinically relevant non-pneumophila Legionella strains.
  • This assay can be used as a standalone confirmatory assay for the detection of common non-pneumophila Legionella species or as one of the valuable assays in conjunction with other standard assays.

Patents

PCT Application PCT/US2013/030217
Filed on 2013-03-11
PCT Application PCT/US2014/038441
Filed on 2014-05-16
US Application 14/407,347
Filed on 2014-12-11
US Application 61/658,627
Filed on 2012-06-12
US Pat 10,202,654

Issued 2019-02-12
US Pat 9,394,574

Issued 2016-07-19

Publications

Benitez AJ, Winchell JM.
PMID 23135949

Updated

Aug 2, 2013

Data Source: 
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