Detection of periprosthetic infections with use of ribosomal RNA-based polymerase chain reaction

Patrick F Bergin1, Jason D Doppelt, William G Hamilton

  • 1Department of Orthopaedic Surgery, George Washington University, 2150 Pennsylvania Avenue N.W., Washington, DC 20037, USA.

Abstract

Insights

This study introduces a novel ribosomal RNA (rRNA) reverse transcription-quantitative polymerase chain reaction (RT-qPCR) assay for detecting periprosthetic joint infections. The improved method offers high specificity and sensitivity, functioning as a reliable viability indicator post-antibiotic administration.

Area of Science:

  • Molecular diagnostics
  • Infectious disease detection
  • Orthopedic surgery

Background:

  • Existing molecular methods for periprosthetic infection detection suffer from false positives.
  • Previous messenger RNA (mRNA)-based approaches had limitations in universal targets and sensitivity.
  • A need exists for a more accurate and sensitive diagnostic tool for periprosthetic infections.

Purpose of the Study:

  • To evaluate the efficacy of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) using universal primers to detect bacterial ribosomal RNA (rRNA).
  • To assess rRNA RT-qPCR as an indicator of periprosthetic joint infection.
  • To determine the assay's sensitivity, specificity, and viability-indicating potential.

Main Methods:

  • Analyzed serial dilutions of simulated synovial fluid infections to establish the rRNA RT-qPCR detection limit.
  • Monitored rRNA degradation in gentamicin-treated Escherichia coli cultures over 20 days.
  • Developed and tested group-specific primers for Streptococcus species for potential speciation.
  • Conducted a blinded analysis of synovial fluid from 64 patients with total knee arthroplasty effusions.

Main Results:

  • The rRNA RT-qPCR assay detected low levels of Staphylococcus aureus and Escherichia coli (as low as 590 and 2900 CFU/mL, respectively).
  • The rRNA signal correlated with cell death, indicating potential as a viability marker.
  • The assay correctly identified all confirmed infected and uninfected patients, showing 100% specificity and positive predictive value.
  • In indeterminate cases, rRNA RT-qPCR identified infection in three patients with negative cultures but elevated white blood cell counts.

Conclusions:

  • rRNA-based RT-qPCR demonstrates high specificity and sensitivity, comparable to intraoperative cultures for periprosthetic infections.
  • The assay functions as a viability indicator and can detect infection for up to seven days after antibiotic treatment.
  • rRNA RT-qPCR offers a sensitive, reliable method with universal detection and speciation capabilities.

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