Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species

The identification of filamentous fungi by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) represents a challenge due to their complex taxonomy and the lack of comprehensive databases. The aim of this study was to evaluate the current status of available MALDI-TOF MS databases for the identification of dermatophytes, including commercial, in-house, and web-based databases. We collected 289 dermatophyte strains from different centers and analyzed them using four databases and a combination of them. The combination of commercial and in-house databases was shown to improve the identification rate and accuracy at the species level. For <i>Trichophyton rubrum</i>, the concordance among all databases was above 90.0%. For the <i>T. mentagrophytes</i> group, correct identification at the species level ranged from 30.0 to 78.9%, depending on the database, and showed very low agreement among them. The addition of the novel species <i>T. japonicum</i> to our in-house database resulted in the successful identification of this species. On the other hand, <i>T. interdigitale</i> and <i>T. tonsurans</i> were the species most frequently misidentified by MALDI-TOF MS. Through deep spectra analysis of both species, up to 29 protein peaks were found to be suitable for their differentiation, demonstrating the potential of peak analysis in differentiating closely related species. In conclusion, improvements of the databases with new strains resulted in increased identification accuracy at the species level. This, combined with peak analysis, could improve the overall identification of dermatophytes by MALDI-TOF MS in clinical laboratories.

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Publication Details

Journal
Journal of Fungi
Published
2025-05-05
DOI
https://doi.org/10.3390/jof11050356
Citations
3
Primary Topic
Nail Diseases and Treatments
Type
article
Field-Weighted Citation Impact
4.06

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article

Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species

Carmen Castro, Ana Isabel López‐Calleja, Adriana Ortega, Ainhoa Gutiérrez-Cobos et al.
3 citations
Journal of Fungi
Nail Diseases and Treatments
4.06
article

Current Performance of MALDI–TOF Mass Spectrometry Databases for the Identification of Dermatophyte Species

Carmen Castro, Ana Isabel López‐Calleja, Adriana Ortega, Ainhoa Gutiérrez-Cobos, Ana Alastruey‐Izquierdo, M.J. Goyanes, Javier Pemán, Isabel Fradejas, Marina Oviaño, Belén Rodríguez‐Sánchez, María Ercibengoa, María Rodríguez–Mayo, Alba Ruiz‐Gaitán, Patricia Muñóz, Alexander Tristancho-Baró, Ramiro López-Medrano, Ana Candela, Andrés Canut, Daniel Adrados, David Rodríguez‐Temporal, Marina Fernández, Juan de Dios Caballero, José Manuel López López, Míriam Alkorta, Carolina Aznar Lopez, Oscar Fraile, Carlos Gustavo Cilla
article en
3 citations

Abstract

The identification of filamentous fungi by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) represents a challenge due to their complex taxonomy and the lack of comprehensive databases. The aim of this study was to evaluate the current status of available MALDI-TOF MS databases for the identification of dermatophytes, including commercial, in-house, and web-based databases. We collected 289 dermatophyte strains from different centers and analyzed them using four databases and a combination of them. The combination of commercial and in-house databases was shown to improve the identification rate and accuracy at the species level. For <i>Trichophyton rubrum</i>, the concordance among all databases was above 90.0%. For the <i>T. mentagrophytes</i> group, correct identification at the species level ranged from 30.0 to 78.9%, depending on the database, and showed very low agreement among them. The addition of the novel species <i>T. japonicum</i> to our in-house database resulted in the successful identification of this species. On the other hand, <i>T. interdigitale</i> and <i>T. tonsurans</i> were the species most frequently misidentified by MALDI-TOF MS. Through deep spectra analysis of both species, up to 29 protein peaks were found to be suitable for their differentiation, demonstrating the potential of peak analysis in differentiating closely related species. In conclusion, improvements of the databases with new strains resulted in increased identification accuracy at the species level. This, combined with peak analysis, could improve the overall identification of dermatophytes by MALDI-TOF MS in clinical laboratories.

Journal of FungiVol. 11(5)
Universidad Complutense de Madrid (ES), Catholic University of Ávila (ES), Hospital Universitario Insular de Gran Canaria (ES), Instituto de Salud Carlos III (ES), Hospital General Universitario Gregorio Marañón (ES), Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES), Hospital Universitario Fundación Alcorcón (ES), Hospital Universitario Araba (ES), Hospital Universitario Miguel Servet (ES), Hospital Universitario de La Princesa (ES), Donostiako Unibertsitate Ospitalea (ES), Complexo Hospitalario Universitario A Coruña (ES), Hospital Universitario Lucus Augusti (ES), Hospital Universitario de Valme (ES), Hospital Universitario Ramón y Cajal (ES), Complejo Asistencial Universitario de Palencia (ES)
European Society of Clinical Microbiology and Infectious Diseases, Instituto de Investigación Sanitaria Gregorio Marañón, Instituto de Salud Carlos III, European Regional Development Fund
Life below water
Openalex Percentile: Top 7%
Nail Diseases and Treatments
4.06
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