Next generation sequencing for pathogen detection in periprosthetic joint infections

Pier F Indelli1, Stefano Ghirardelli2, Bruno Violante2

  • 1Department of Orthopaedic Surgery, Stanford University, Stanford, California, USA.

EFORT Open Reviews
|May 27, 2021
PubMed

Insights

Next-generation sequencing (NGS) offers rapid diagnosis for periprosthetic joint infections (PJI), a severe complication of total joint arthroplasty (TJA). This technology, including metagenomic and cell-free DNA sequencing, shows promise for faster and more accurate PJI detection.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Periprosthetic joint infections (PJI) are severe complications following total joint arthroplasty (TJA).
  • Current diagnostic methods for PJI lack standardization and can be challenging, particularly in culture-negative cases.
  • There is a critical need for rapid and accurate diagnostic tools for PJI.

Purpose of the Study:

  • To evaluate the potential of next-generation sequencing (NGS) technologies for the diagnosis of PJI.
  • To explore the capabilities of metagenomic NGS (mNGS) and cell-free DNA (cfDNA) NGS in identifying pathogens and antimicrobial resistance in PJI cases.
  • To assess the impact of these innovative technologies on the diagnostic paradigm of PJI.

Main Methods:

  • Review of next-generation sequencing (NGS) applications in PJI diagnosis.
  • Discussion of metagenomic NGS (mNGS) for universal pathogen detection and antimicrobial resistance characterization.
  • Analysis of cell-free DNA (cfDNA) NGS for rapid microorganism isolation and resistance gene identification.

Main Results:

  • NGS technologies can sequence microbial DNA from synovial fluid, proving useful in culture-negative PJI.
  • mNGS provides universal pathogen detection within 24-48 hours and can characterize antimicrobial resistance.
  • cfDNA NGS offers a fast, sensitive, and specific method for microorganism detection and resistance gene identification.

Conclusions:

  • Metagenomics and cfDNA NGS represent promising technologies for the rapid diagnosis of PJI.
  • These NGS methods significantly reduce the time required for bacterial detection compared to traditional methods.
  • While revolutionary, further clinical evidence is necessary before widespread adoption of NGS for PJI diagnosis.