Related Experiment Video

Updated: Jul 22, 2026

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
10:24

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

83.6K

Comparison of the BioFire Joint Infection Panel to 16S Ribosomal RNA Gene-Based Targeted Metagenomic Sequencing for

Marisa A Azad1,2, Matthew J Wolf2, Angela P Strasburg2

  • 1Division of Public Health, Infectious Diseases, and Occupational Medicine, Department of Medicine, Mayo Clinicgrid.66875.3a, Rochester, Minnesota, USA.

Journal of Clinical Microbiology
|November 21, 2022
PubMed

Insights

Diagnosing periprosthetic joint infection (PJI) is difficult. Targeted metagenomic sequencing (tMGS) showed higher overall sensitivity for PJI than the BioFire Joint Infection (JI) Panel, which missed common pathogens like Staphylococcus epidermidis.

Area of Science:

  • Orthopedic Surgery
  • Infectious Diseases
  • Molecular Diagnostics

Background:

  • Periprosthetic joint infection (PJI) diagnosis is challenging, often requiring multiple tests with long turnaround times.
  • Current diagnostic methods for PJI can be time-consuming and may not always yield definitive results.
  • The development of rapid and accurate diagnostic tools for PJI is crucial for effective patient management.

Purpose of the Study:

  • To compare the diagnostic performance of the BioFire Joint Infection (JI) Panel against 16S rRNA gene-based targeted metagenomic sequencing (tMGS).
  • To evaluate the utility of these molecular diagnostic techniques for identifying periprosthetic joint infection (PJI) in synovial fluid samples.
  • To propose a diagnostic algorithm integrating both molecular tests for improved PJI detection.

Main Methods:

  • Sixty synovial fluid samples from knee arthroplasty failure cases were analyzed.
  • The BioFire JI Panel (Investigational Use Only) and tMGS were performed on archived samples.
  • Infectious Diseases Society of America (IDSA) criteria were used to classify PJI cases.

Main Results:

  • For culture-positive PJI with JI panel-targeted pathogens, sensitivities were 91% for the JI panel and 96% for tMGS.
  • Overall PJI diagnostic sensitivities were significantly higher for tMGS (93%) compared to the JI panel (56%).
  • Specificities were high for both: 100% for the JI panel and 94% for tMGS.

Conclusions:

  • Targeted metagenomic sequencing (tMGS) demonstrates superior overall sensitivity for diagnosing periprosthetic joint infection (PJI) compared to the BioFire Joint Infection (JI) Panel.
  • The JI panel's lower overall sensitivity is attributed to the exclusion of common PJI pathogens, such as Staphylococcus epidermidis.
  • A combined diagnostic algorithm utilizing both tMGS and the JI panel may enhance PJI diagnosis accuracy.
Keywords:
PCRnext-generation sequencingperiprosthetic joint infectionrapid diagnostic

More Related Videos

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS06:34

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

Published on: July 11, 2016

18.4K
Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction10:35

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction

Published on: December 3, 2017

11.2K

Related Concept Videos

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...