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Revista do Instituto de Medicina Tropical de Sao Paulo · 2026

Comparative performance of Filamentous Fungi 4.0 and Mass Spectrometry Identification 2.0 databases for Aspergillus spp.: identification using a simplified protein extraction method.

СтатьяСравнительное исследованиеНазвание и аннотация: Перевод в очереди
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Damiani Gustavo Giacon, Coelho Vivian Caso, Takahashi Juliana Possato Fernandes, Leite Ingrid Gonçalves Costa, Kress Marcia Regina von Zeska, Magri Marcello Mihailenko Chaves, Bollela Valdes Roberto, Martínez Roberto, Benard Gil, Cocio Tiago Alexandre

Аннотация

Aspergillus spp. are major agents of pulmonary aspergillosis, posing diagnostic challenges in clinical laboratories due to morphological similarity among species. This study compared the performance of two spectral databases, Filamentous Fungi v4.0 (Bruker Daltonics) and Mass Spectrometry Identification v2.0 (MSI 2.0), for Aspergillus species identification by MALDI-TOF MS, and evaluated the applicability of the simplified protein extraction method from solid culture medium for routine use in hospital laboratories. Overall, 46 clinical isolates from patients with pulmonary aspergillosis were cultured on Sabouraud Dextrose Agar (SDA) at 37 °C for 48 h. Proteins were extracted directly from colonies and analysed using the Bruker MALDI Biotyper system. Spectra were compared against FF_4.0 and MSI_2.0 databases, and results were correlated with molecular identification by benA, cmd5, and ITS gene sequencing. The extraction method yielded high-quality spectra with peaks between 2-15 kDa. The FF_4.0 database identified 52.17% of isolates at the section level and none at the species level, reflecting limited spectral compatibility and taxonomic coverage. Conversely, MSI_2.0 correctly identified 82.6% of isolates at the species level, 15.23% at the section level, and only 2.17% were not identified. Concordance between MSI_2.0 and sequencing reached 44.7%, without statistical significance (p = 0.627). The simplified solid-medium extraction method combined with MSI 2.0 proved efficient, reproducible, and suitable for clinical routine, offering faster identification of Aspergillus species compared to conventional methods. In contrast, FF_4.0 showed limited applicability for hospital workflows.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты