Efficacy of 16S rRNA variable regions high-resolution melt analysis for bacterial pathogens identification in

Samaneh Bourbour1, Mohammad Emaneini1, Mahmoud Jabalameli2

  • 1Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

BMC Microbiology
|April 14, 2021
PubMed
Abstract

Insights

Broad-range PCR and High-Resolution Melt Analysis (HRMA) effectively identify causative organisms in periprosthetic joint infections (PJIs). This molecular approach aids in rapid diagnosis and guides appropriate antibiotic therapy for improved patient outcomes.

Area of Science:

  • Medical Microbiology
  • Molecular Diagnostics
  • Infectious Diseases

Background:

  • Periprosthetic joint infections (PJIs) require accurate and rapid microbial identification for effective antibiotic treatment.
  • Molecular diagnostic techniques are increasingly recommended for suspected PJIs.
  • Broad-range PCR and High-Resolution Melt Analysis (HRMA) are emerging molecular tools for pathogen detection.

Purpose of the Study:

  • To evaluate the efficacy of broad-range PCR combined with HRMA for identifying microorganisms in PJIs.
  • To compare the performance of molecular methods against traditional culture techniques.
  • To assess the utility of HRMA in differentiating monomicrobial and polymicrobial infections.

Main Methods:

  • Broad-range PCR was performed on 63 specimens from patients with suspected PJIs.
  • High-Resolution Melt Analysis (HRMA) was utilized for microbial identification following PCR.
  • Results were compared with conventional culture methods for sensitivity and specificity calculations.

Main Results:

  • Broad-range PCR and culture were positive in 47 out of 63 specimens (74.6%).
  • HRM assay successfully identified pathogens in 34 out of 36 monomicrobial cultures (91.89%).
  • The sensitivity and specificity of HRMA compared to monomicrobial cultures were 91.89% and 93.75%, respectively.

Conclusions:

  • Broad-range PCR coupled with HRMA offers a rapid, cost-effective screening method for PJI diagnosis.
  • These molecular techniques effectively aid traditional culture methods in identifying causative pathogens.
  • Utilizing computational tools like Matlab-2018b enhances HRM data analysis for improved diagnostic accuracy.

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