Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical

Pao-Yu Chen1, Chi-Jung Wu2,3, Un-In Wu1

  • 1Division of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.

PubMed
Abstract

Insights

A new molecular method accurately identifies invasive Fusarium species. Antifungal susceptibility varied by species complex, highlighting the need for species-specific treatment strategies against Fusarium infections.

Area of Science:

  • Medical Mycology
  • Molecular Biology
  • Antimicrobial Resistance

Background:

  • Invasive fusariosis is a growing concern due to complex Fusarium species and increasing antifungal resistance.
  • Limited data exists on the in vitro susceptibility of newer antifungals against Asian Fusarium isolates.

Purpose of the Study:

  • To evaluate a two-step molecular identification algorithm for Fusarium species.
  • To determine the in vitro antifungal susceptibility of clinical Fusarium isolates.
  • To correlate species and susceptibility patterns.

Main Methods:

  • A two-step algorithm using ITS, TEF1α, and RBP2 sequencing for Fusarium identification.
  • In vitro antifungal susceptibility testing (MECs/MICs) by EUCAST method.
  • Testing manogepix, olorofim, amphotericin B, and voriconazole.

Main Results:

  • The two-step algorithm achieved >90% accuracy in species-level identification of 103 Fusarium isolates.
  • Fusarium solani species complex (FSSC) was predominant, especially in blood isolates.
  • Manogepix showed potent activity against all isolates; olorofim activity varied by species complex.
  • FSSC exhibited higher voriconazole and amphotericin B MICs, with specific Neocosmospora species showing high resistance.

Conclusions:

  • The evaluated molecular algorithm is accurate for Fusarium species identification.
  • Antifungal susceptibility is significantly influenced by Fusarium species complex and specific species.
  • Tailoring antifungal therapy based on species identification is crucial for effective treatment of invasive fusariosis.