Fourier-transform infrared spectroscopy for typing of vancomycin-resistant Enterococcus faecium: performance analysis

T C Scheier1, J Franz1, M Boumasmoud1,2

  • 1Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zurich , Zurich, Switzerland.

Microbiology Spectrum
|September 22, 2023
PubMed
Abstract

Insights

Fourier-transform infrared (FT-IR) spectroscopy offers a rapid and affordable method for investigating vancomycin-resistant Enterococci (VREfm) outbreaks. This technique shows high agreement with whole genome sequencing, proving effective for bacterial typing in clinical settings.

Area of Science:

  • Microbiology
  • Infectious Diseases
  • Spectroscopy

Background:

  • Vancomycin-resistant Enterococci, primarily Enterococcus faecium (VREfm), are significant causes of hospital-acquired infections and outbreaks.
  • Current bacterial typing methods for outbreak investigations, such as MLST and WGS, are often costly and time-consuming.
  • There is a need for accessible, rapid, and reliable methods for VREfm typing to aid in infection control.

Purpose of the Study:

  • To evaluate the efficacy of Fourier-transform infrared (FT-IR) spectroscopy as a tool for investigating vancomycin-resistant Enterococci (VREfm) outbreaks.
  • To assess the performance characteristics of FT-IR spectroscopy, including reproducibility and the impact of incubation time.
  • To compare the discriminatory power and clustering agreement of FT-IR spectroscopy with established methods like whole genome sequencing (WGS) and multi-locus sequence typing (MLST).

Main Methods:

  • Basic performance assessments of FT-IR spectroscopy were conducted, evaluating reproducibility and the effect of incubation time on distinct sample sets.
  • A cut-off range for FT-IR spectroscopy was determined.
  • Clustering agreement between FT-IR spectroscopy and WGS (using an Average Nucleotide Identity cut-off of 0.999) was investigated in retrospective (n=92 isolates) and prospective (n=15 isolates) outbreak datasets.

Main Results:

  • Basic performance analysis demonstrated reproducible results for FT-IR spectroscopy.
  • FT-IR spectroscopy showed a high agreement with WGS-ANI analysis in clinical outbreak investigations, with V-measures of 0.772 for the retrospective and 1.000 for the prospective outbreak.
  • FT-IR spectroscopy exhibited higher discriminatory power compared to MLST in outbreak investigations.

Conclusions:

  • FT-IR spectroscopy is a promising, affordable, and easy-to-use technique for VREfm outbreak investigations, offering a turnaround time of less than one day.
  • The method demonstrates high agreement with WGS-based typing and superior discriminatory power over MLST.
  • With established cut-off values, FT-IR spectroscopy can effectively assist in species discrimination and outbreak analysis.