Can We Improve Antifungal Susceptibility Testing?

Charlotte Durand1, Danièle Maubon1,2, Muriel Cornet1,2

  • 1TIMC, Univ Grenoble Alpes, CNRS, Grenoble INP, Grenoble, France.

Insights

Antifungal susceptibility testing (AFST) is crucial for invasive fungal infections due to rising resistance. New methods aim to reduce the long turnaround time of current growth-based assays.

Area of Science:

  • Medical Mycology
  • Clinical Microbiology
  • Antimicrobial Resistance

Background:

  • Invasive fungal infections (IFIs) have a poor prognosis, necessitating effective systemic antifungal agents.
  • The emergence of antifungal-resistant strains poses a significant threat due to a limited antifungal drug arsenal.
  • Antifungal susceptibility testing (AFST) is vital for guiding patient treatment and promoting antifungal stewardship.

Purpose of the Study:

  • To review current Antifungal Susceptibility Testing (AFST) methods for invasive fungal infections.
  • To highlight the limitations of existing AFST, primarily their long turnaround times (TAT).
  • To explore innovative AFST techniques under development for improved clinical application.

Main Methods:

  • Review of current reference and commercial AFST methods based on growth inhibition (MIC determination).
  • Exploration of novel AFST approaches including MALDI-TOF, flow cytometry, and computed imaging.
  • Discussion of molecular methods for detecting resistance mutations and future whole-genome sequencing (WGS) applications.

Main Results:

  • Current AFST methods, while clinically applicable for MIC determination, suffer from lengthy turnaround times.
  • Emerging techniques like MALDI-TOF offer faster results but require further clinical validation.
  • Molecular methods and WGS show promise for rapid detection of resistance, though limitations remain.

Conclusions:

  • The development of rapid and accurate AFST is critical for managing invasive fungal infections and combating resistance.
  • Innovative techniques show promise but require further validation to become routine clinical tools.
  • The ideal AFST method, balancing speed, accuracy, cost, and usability, is yet to be established for widespread clinical adoption.