Rapid Nanopore Assay for Carbapenem-Resistant Klebsiella pneumoniae

Haofu Niu1,2, Weili Zhang1, Liangwan Wei2

  • 1Department of Laboratory Medicine, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China.

Insights

A novel nanopore assay rapidly detects carbapenem-resistant Klebsiella pneumoniae (CRKP) in just 4 hours. This ultra-sensitive method offers a faster, cost-effective alternative to traditional techniques for identifying drug-resistant bacteria.

Area of Science:

  • Microbiology
  • Nanotechnology
  • Clinical Diagnostics

Background:

  • Carbapenem-resistant Klebsiella pneumoniae (CRKP) is a growing global health threat.
  • Current CRKP detection methods are slow, expensive, or technologically demanding.
  • Rapid diagnostics are crucial to prevent inappropriate antimicrobial use and improve patient outcomes.

Purpose of the Study:

  • To develop a rapid, sensitive, and cost-effective nanopore assay for distinguishing CRKP from carbapenem-sensitive K. pneumoniae (CSKP).
  • To evaluate the performance of the nanopore assay compared to traditional methods.

Main Methods:

  • Utilized a nanopore assay with MspA nanopore and specific probes to detect 16S ribosomal RNA (16S rRNA).
  • Quantified 16S rRNA levels in bacterial cultures of CRKP and CSKP exposed to imipenem.
  • Analyzed single-channel recordings for specific nanopore signals.

Main Results:

  • The nanopore assay successfully distinguished CRKP from CSKP based on 16S rRNA levels after only 4 hours of culture.
  • Achieved ultra-sensitive and fast quantitative detection of 16S rRNA.
  • The assay's time-cost was approximately 5% of the disk diffusion method with comparable accuracy.

Conclusions:

  • The developed nanopore assay provides a rapid and accurate method for CRKP detection.
  • This technology has significant potential for fast screening of antimicrobial drug resistance in clinical settings.
  • Offers a promising alternative to conventional diagnostic approaches for bacterial infections.

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