Next generation sequencing for pathogen detection in periprosthetic joint infections

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.