Clinical Origin and Species Distribution of Fusarium spp. Isolates Identified by Molecular Sequencing and Mass Spectrometry: A European Multicenter Hospital Prospective Study.
Anne-Cécile NormandSébastien ImbertSophie BrunAbdullah M S Al-HatmiErja ChryssanthouSophie CassaingChristine SchuttlerLilia HasseineCaroline MahincDamien CostaChristine BonnalStéphane RanqueMarc SautourElisa RubioLaurence DelhaesArnaud RiatBoualem SendidLise KristensenMarcel BrandenbergerJuliette GuitardAnn PackeuRenaud PiarrouxArnaud FekkarPublished in: Journal of fungi (Basel, Switzerland) (2021)
Fusarium spp. are widespread environmental fungi as well as pathogens that can affect plants, animals and humans. Yet the epidemiology of human fusariosis is still cloudy due to the rapidly evolving taxonomy. The Mass Spectrometry Identification database (MSI) has been developed since 2017 in order to allow a fast, accurate and free-access identification of fungi by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry. Taking advantage of the MSI database user network, we aim to study the species distribution of Fusarium spp. isolates in an international multicenter prospective study. This study also allowed the assessment of the abilities of miscellaneous techniques to identify Fusarium isolates at the species level. The identification was performed by PCR-sequencing and phylogenic-tree approach. Both methods are used as gold standard for the evaluation of mass spectrometry. Identification at the species complex was satisfactory for all the tested methods. However, identification at the species level was more challenging and only 32% of the isolates were correctly identified with the National Center for Biotechnology Information (NCBI) DNA database, 20% with the Bruker MS database and 43% with the two MSI databases. Improvement of the mass spectrometry database is still needed to enable precise identification at the species level of any Fusarium isolates encountered either in human pathology or in the environment.
Keyphrases
- mass spectrometry
- genetic diversity
- liquid chromatography
- gas chromatography
- capillary electrophoresis
- high resolution
- high performance liquid chromatography
- endothelial cells
- bioinformatics analysis
- adverse drug
- machine learning
- emergency department
- single cell
- quality improvement
- cross sectional
- single molecule
- multiple sclerosis
- pluripotent stem cells
- healthcare
- solid phase extraction
- silver nanoparticles
- network analysis
- human health
- health information