Evidence map›Paper›PMID 42789153›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026

Optimizing MALDI-TOF MS for routine dermatophyte identification, including Trichophyton indotineae.

Oğuzhan Bingöl, Hazal Kandemir, Engin Kaplan, Nevzat Ünal, Ahmet Süel, Çağrı Ergin, Murat Durdu, Macit Ilkit

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Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Oğuzhan BingölDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID http://orcid.org/0009-0001-0530-8050
Hazal KandemirDepartment of Environmental Biology, Institute of Environmental Sciences (CML), Leiden University, Leiden, the Netherlands.ORCID http://orcid.org/0000-0003-0385-5840
Engin KaplanDepartment of Pharmaceutical Microbiology, Faculty of Pharmacy, Istanbul University- Cerrahpaşa, Istanbul, Türkiye.ORCID http://orcid.org/0000-0001-5705-717X
Nevzat ÜnalDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye.ORCID http://orcid.org/0000-0001-5121-3100
Ahmet SüelProduct Specialist, bioMérieux, Istanbul, Türkiye.ORCID http://orcid.org/0009-0005-4921-0476
Çağrı ErginDepartment of Medical Microbiology, Faculty of Medicine, Pamukkale University, Denizli, Türkiye.ORCID http://orcid.org/0000-0001-7783-8723
Murat DurduDepartment of Dermatology, Adana Dr. Turgut Noyan Application and Research Center, Başkent University Faculty of Medicine, Adana, Türkiye.ORCID http://orcid.org/0000-0003-1247-3932
Macit IlkitDivision of Mycology, Department of Microbiology, Faculty of Medicine, Çukurova University, Adana, Türkiye. macitilkit@gmail.com.ORCID http://orcid.org/0000-0002-1174-4182

Funding

Çukurova University Scientific Research Projects TTU-2025-18075
6 · The paper itself

Abstract

backgroundDermatophytosis is a common superficial fungal infection worldwide, and the recent global spread of the terbinafine-resistant fungus Trichophyton indotineae has made rapid, accurate species identification a priority for clinical laboratories. This study assessed the identification performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) using molecularly identified dermatophyte isolates recovered from chronic, recalcitrant, and widespread infections.

methodsA total of 134 dermatophyte isolates were analyzed, including 119 Trichophyton indotineae, 10 T. rubrum, 3 T. tonsurans, and 2 Microsporum canis. Isolates were cultured on ID Fungi Plates (IDFPs), Sabouraud glucose agar (SGA), and Kimmig agar and incubated at 27 °C for 72 h. MALDI-TOF MS analysis was performed using the VITEK

resultsIDFP achieved the highest species-level identification rate (97.8%), followed by SGA (87.3%) and Kimmig agar (75.4%). For T. indotineae, species-level identification was also highest with IDFP (97.5%), followed by SGA (88.2%) and Kimmig agar (74.8%).

conclusionsThese findings support the use of MALDI-TOF MS as a rapid and practical tool for routine dermatophyte identification and highlight the importance of optimized culture conditions for maximizing diagnostic performance. A simple, inexpensive change in laboratory workflow can therefore make routine identification of dermatophytes, including T. indotineae, reliable enough for everyday diagnostic use.

Indexed as

Clinical laboratory servicesDermatophytesIdentificationMALDI-TOF mass spectrometryTrichophyton indotineaeTrichophyton rubrum

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.