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Seasonal variations in mold identification in medical microbiology laboratories using MSI-2 application, France (2020-2024).
Jabet, Arnaud Normand, Anne-Cécile Delhaes, Laurence Boelle, Pierre-Yves Chauvin, Pamela Stoica, Maria-Alexandra Lachaud, Laurence Dalle, Frédéric Hasseine, Lilia Guitard, Juliette
Jabet, Arnaud
Normand, Anne-Cécile
Delhaes, Laurence
Boelle, Pierre-Yves
Chauvin, Pamela
Stoica, Maria-Alexandra
Lachaud, Laurence
Dalle, Frédéric
Hasseine, Lilia
Guitard, Juliette
Abstract
Molds are ubiquitous environmental microorganisms with major implications for human health, ranging from allergic reactions to invasive infections. Although the environmental seasonality of several fungal spores has long been recognized, its reflection in clinical isolates remains poorly explored. A total of 218,682 fungal spectra generated by 97 medical microbiology laboratories across France between 2020 and 2024 were analyzed, based on identifications performed using the MSI-2 MALDI-TOF MS web platform. Seasonal patterns were assessed through additive decomposition, autocorrelation, and formal statistical testing. Distinct seasonal variation patterns were identified across taxa. Significant seasonality was detected for multiple taxa, including Alternaria, Cladosporium, Aspergillus sections Nigri and Flavi, Talaromyces, several taxa of Basidiomycota, and Rhizopus arrhizus. Positive or negative correlations between fungal identification counts and national mean temperature values were observed depending on the taxon. This study highlights the importance of considering seasonality in understanding the epidemiology of fungal diseases and demonstrates the value of multicenter MALDI-TOF MS data as a tool for epidemiological surveillance.
Based on identification results from medical microbiology laboratories using MALDI-TOF mass spectrometry and the MSI-2 application, we demonstrate seasonal patterns in the isolation of several mold taxa, including Aspergillus sections Nigri and Flavi, and Rhizopus arrhizus.
Description
Date
2026-06-05
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Keywords
Fungi, Matrix-Assisted Laser Desorption-Ionization, Periodicity, Temperature
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Topic(s)
Mycology #22109#
Related project
BCCM/IHEM (2022-2025) #1000041#