MALDI-TOF Mass Spectrometry Online Identification of Trichophyton indotineae Using the MSI-2 Application

Anne-Cécile Normand1, Alicia Moreno-Sabater2,3, Arnaud Jabet1

  • 1Service de Parasitologie-Mycologie, Hôpital La Pitié-Salpêtrière, AP-HP, 75013 Paris, France.

Insights

Rapid identification of the emerging fungal pathogen Trichophyton indotineae is crucial due to terbinafine resistance. An improved MSI-2 MALDI-TOF tool now identifies T. indotineae with 96% accuracy, aiding epidemiological studies and patient care.

Area of Science:

  • Medical Mycology
  • Clinical Microbiology
  • Mass Spectrometry

Background:

  • Trichophyton indotineae is an emerging fungal pathogen spreading globally.
  • This species exhibits increased resistance to terbinafine compared to other Trichophyton mentagrophytes complex members.
  • Accurate and rapid identification is essential for effective patient management and epidemiological tracking.

Purpose of the Study:

  • To enhance the online MSI-2 MALDI-TOF mass spectrometry identification tool.
  • To improve the accurate identification of Trichophyton indotineae within the Trichophyton mentagrophytes complex.
  • To facilitate better understanding of T. indotineae's global spread and clinical implications.

Main Methods:

  • Expanded the MSI-2 database by incorporating 142 new mass spectrometry references from 12 strains within the T. mentagrophytes complex, including 3 T. indotineae strains.
  • Cultured isolates under diverse conditions (2 media, 6 growth stages) to optimize protein extraction for spectral analysis.
  • Tested the enhanced database using 1566 spectra from 67 T. mentagrophytes complex isolates, including 16 T. indotineae isolates.

Main Results:

  • The improved MSI-2 database significantly increased the identification rate of T. indotineae from 5% to 96%.
  • Achieved a high diagnostic sensitivity of 99.6% for T. indotineae identification.
  • Identified specific mass spectrometry peaks (6834/6845 Da and 10,634/10,680 Da) that differentiate T. indotineae from other species in the complex.

Conclusions:

  • The enhanced MSI-2 application effectively identifies Trichophyton indotineae.
  • This advancement will improve epidemiological surveillance of T. indotineae's global dissemination.
  • Enhanced identification capabilities will contribute to improved clinical diagnosis and treatment strategies for patients infected with T. indotineae.

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