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One-day Workflow Scheme for Bacterial Pathogen Detection and Antimicrobial Resistance Testing from Blood Cultures
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Published on: July 9, 2012

Rapid identification of bacterial pathogens using a PCR- and microarray-based assay.

Anna-Kaarina Järvinen1, Sanna Laakso, Pasi Piiparinen

  • 1Mobidiag Ltd, 00290 Helsinki, Finland. anna-kaarina.jarvinen@mobidiag.com

BMC Microbiology
|August 12, 2009
PubMed
Summary

This study introduces a rapid PCR and microarray assay for identifying 12 bacterial pathogens and detecting methicillin resistance. The method offers accurate results in three hours, guiding timely antimicrobial treatment.

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Area of Science:

  • Microbiology
  • Molecular Diagnostics
  • Infectious Diseases

Background:

  • Rapid identification of bacterial pathogens is crucial for effective treatment.
  • Current methods can be time-consuming, delaying optimal antimicrobial therapy.
  • A need exists for faster, more accurate diagnostic tools in clinical settings.

Purpose of the Study:

  • To develop and evaluate a novel assay for simultaneous detection and identification of 12 bacterial pathogens.
  • To incorporate detection of methicillin resistance (mecA gene) into the assay.
  • To assess the assay's performance in routine diagnostic testing using clinical samples.

Main Methods:

  • Development of a modified broad-range PCR targeting conserved bacterial gyrB and parE genes.
  • Design of a DNA amplification method yielding single-stranded DNA for microarray hybridization.
  • Creation of species- or genus-specific probes for pathogen identification and mecA detection on an oligonucleotide microarray.

Main Results:

  • The assay achieved 96% sensitivity and 98% specificity compared to culture-based methods.
  • High accuracy was demonstrated with only one cross-reaction among 70 untargeted bacteria.
  • The entire assay, including DNA extraction, PCR, and microarray, was completed in just three hours.

Conclusions:

  • The developed PCR-microarray assay provides rapid and reliable data for bacterial identification.
  • This rapid diagnostic capability can significantly aid in making timely and optimal antimicrobial treatment decisions.
  • The assay shows promise for integration into routine clinical microbiology diagnostics.