Evidence map›Paper›PMID 42067793›Full record

ArticleBMC microbiology2026

Evaluation of MALDI-TOF MS for identification of clinical filamentous fungi in a routine mycology laboratory.

Zeynep Yazgan, Gökhan Aygün

Abstract readEvaluation Study
In one paragraph

Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Zeynep YazganCerrahpasa School of Medicine, Department of Medical Microbiology, Istanbul University-Cerrahpasa, Istanbul, Turkey. zeynep.yazgan@iuc.edu.tr.ORCID 0000-0003-4354-3729
Gökhan AygünCerrahpasa School of Medicine, Department of Medical Microbiology, Istanbul University-Cerrahpasa, Istanbul, Turkey.ORCID 0000-0001-6915-9843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMALDI-TOF MS (Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry) technology has become an effective tool in clinical mycology laboratories in recent years for the identification of pathogenic filamentous fungi.

methodsA total of 527 clinical specimens, comprising samples from both superficial and deep mycoses, were included in this study. Filamentous fungal samples isolated from various clinical specimens and identified using conventional methods between 2017 and 2018 at the Medical Microbiology Mycology Laboratory of Istanbul University-Cerrahpaşa Faculty of Medicine Hospital were analyzed using MALDI Biotyper Bruker Daltonik GmbH Revision 4 and the Filamentous Fungi database v3.0.

resultsIn the identification of mold samples, the highest scoring identification values ​​were determined with the liquid cultivation and extraction method recommended by MALDI-TOF MS for filamentous fungi. A total of 46 different filament fungi species, including 6 dermatophytes and 40 non-dermatophyte filament fungi species, were identified from the clinical samples in the study. Of the total of 527 clinical samples, 27% (n = 142) were identified as having high reliability in the range of 1.8 to 3, and 20% (n = 103) as having low reliability in the range of 1.6 to 1.79. The total rate of identified filament fungi was successfully determined as 47% (n = 245).

conclusionsIn the practical experience of our medical mycology laboratory, we evaluated the current uses of MALDI-TOF MS and their practical application in daily routine. In the identification of mold species obtained from clinical samples by MALDI-TOF, it is important to meticulously prepare sample preparation protocols, use an identification strategy suitable for routine diagnosis, and continuously update libraries using advanced databases.

Indexed as

FungiMycologyMycosesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationHumansMycological Typing TechniquesReproducibility of ResultsConventional methodsCryptic speciesDermatophytesFilamentous fungiIdentificationMALDI-TOF MSMolds

Identifiers

PMID42067793
PMCPMC13218045

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