Nanopore 16S amplicon sequencing enables rapid detection of pathogen in knee periprosthetic joint infection

Hyuk-Soo Han1, Du Hyun Ro1, Jeehyeok Chung1

  • 1Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, South Korea.

Abstract

Insights

Nanopore 16S sequencing rapidly identifies bacteria in knee prosthetic joint infections (PJI), offering faster results and superior species-level identification compared to traditional cultures. This method aids in diagnosing polymicrobial infections more effectively.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Medical Diagnostics

Background:

  • Prosthetic joint infection (PJI) is a serious complication following knee replacement surgery.
  • Accurate and rapid bacterial identification is crucial for effective PJI management.
  • Conventional culture methods can be slow and may fail to detect all causative pathogens.

Purpose of the Study:

  • To evaluate the capability of nanopore 16S amplicon sequencing for bacterial identification in knee PJI.
  • To compare the diagnostic efficacy of nanopore sequencing with conventional culture studies.

Main Methods:

  • Synovial fluid and tissue samples were collected from 36 patients with suspected knee PJI.
  • DNA was extracted, followed by 16S rDNA PCR and subsequent nanopore amplicon sequencing.
  • Results were compared against conventional bacterial culture studies.

Main Results:

  • Nanopore 16S sequencing achieved concordant results with culture studies in 73.7% of culture-positive PJI cases.
  • The sequencing method demonstrated a significantly shorter turnaround time (10.8 ± 7.7 h vs. 100.9 ± 32.5 h).
  • Nanopore sequencing showed superiority in species-level identification and detecting polymicrobial infections.

Conclusions:

  • Nanopore 16S sequencing is a valuable tool for pathogen identification in knee PJI.
  • While not more sensitive than culture, it offers significant speed advantages.
  • Its enhanced ability for species-level and polymicrobial detection improves diagnostic accuracy in PJI.

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