Fully automated identification of Neisseria meningitidis using the BD MAX system in a clinical laboratory setting: A

Rika Inose1, Yoshifumi Uwamino2, Wataru Aoki1

  • 1Clinical Laboratory, Keio University Hospital, Japan.

Insights

Rapid identification of Neisseria meningitidis is vital. A new real-time PCR system on the BD MAX platform accurately detects this pathogen, enhancing safety and speed in clinical labs.

Area of Science:

  • Microbiology
  • Clinical Diagnostics
  • Molecular Biology

Background:

  • Accurate identification of Neisseria meningitidis is critical for managing invasive infections and meningitis.
  • Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry can misidentify Neisseria species, requiring biochemical confirmation.
  • Current confirmatory tests necessitate subculturing, increasing biosafety risks due to high bacterial concentrations.

Purpose of the Study:

  • To develop a real-time polymerase chain reaction (PCR) detection system for Neisseria meningitidis.
  • To implement and evaluate this system on the BD MAX automated genetic testing platform.
  • To assess the system's accuracy, sensitivity, and biosafety benefits compared to existing methods.

Main Methods:

  • Development of a real-time PCR assay targeting Neisseria meningitidis.
  • Utilized the BD MAX automated genetic testing platform for closed-system detection.
  • Evaluated assay performance using 25 clinical isolates of Neisseria species, including N. meningitidis.

Main Results:

  • The real-time PCR system demonstrated full agreement with sequencing-based identification results.
  • Achieved a minimum detection sensitivity of 10 CFU/mL for Neisseria meningitidis.
  • The BD MAX platform provided rapid and precise identification within a closed system.

Conclusions:

  • The developed real-time PCR assay on the BD MAX platform offers accurate and rapid identification of Neisseria meningitidis.
  • This automated system enhances laboratory biosafety by minimizing handling and reducing exposure risks.
  • The findings support the adoption of this method for improved clinical management and infection control of N. meningitidis.

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