LUMENA PEREIRA MACHADO SIQUEIRA

(Fonte: Lattes)
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5
Lattes
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Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/53 - Laboratório de Micologia, Hospital das Clínicas, Faculdade de Medicina

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Revista / Livro: Medical Mycology ×

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  • article 5 Citação(ões) na Scopus
    Comparing the phenotypic, genotypic, and proteomic identification of Trichosporon species: A globally emerging yeast of medical importance
    (2021) LARA, Bruna Rossini; CAMARGO, Bruno Braidotti de; PAULA, Claudete Rodrigues; LEITE JUNIOR, Diniz Pereira; GARCES, Hans Garcia; ARNONI, Mariana Volpe; SILVEIRA, Monica; GIMENES, Viviane Mazo Favero; SIQUEIRA, Lumena Pereira Machado; TAKAHASHI, Juliana Possatto Fernandes; MELHEM, Marcia de Souza Carvalho; RICHINI-PEREIRA, Virginia Bodelao; ANVERSA, Lais; RUIZ, Luciana da Silva
    Trichosporon spp. are widely distributed in the nature, comprising species that inhabit different ecological niches and can be found in the water, soil, and body surface of animals and humans. Such microorganisms have been classically associated with superficial infections; however, in the last decades, they have also been related to disseminated infections in immunocompromised patients, behaving as opportunistic agents, which demands rapid and accurate species identification for efficient therapy. Concordance level between the traditional phenotypic method and the molecular technique (gold standard) in the identification of all 59 Trichosporon samples was 59.3%. Identification concordance between MALDI-TOF spectrometry and the molecular technique was 71.2%. No isolate of environmental origin was identifiable by MALDI-TOF mass spectrometry (MS), and 100% of such environmental isolates were discordant for IGS region sequencing and phenotypic characterization. Both comparisons evidenced greatest concordance in the identification of T. asahii. The species T. debeurmannianum, T. dermatis, T. venhuisii and T. insectorum were not properly identified by both MALDI-TOF MS and the phenotypic technique. MALDI-TOF MS, in particular, seems to be appropriate to investigate yeasts of the genus Trichosporon; however, database updates are still necessary, especially for species that are not common in the clinical routine. With the aim of helping understand the aspects involved in early and accurate diagnosis of infections caused by this opportunistic agent, the present study compared the phenotypic, molecular (IGS region) and mass-spectrometry (MALDI-TOF) identification of 59 yeasts of the genus Trichosporon which had clinical and environmental origin and were kept in a mycology collection.
  • article 9 Citação(ões) na Scopus
    Evaluating VITEK MS for the identification of clinically relevant Aspergillus species
    (2020) AMERICO, Fernanda M.; SIQUEIRA, Lumena P. Machado; NEGRO, Gilda Maria B. Del; GIMENES, Viviane M. Favero; TRINDADE, Mario Roberto S.; MOTTA, Adriana L.; FREITAS, Roseli Santos de; ROSSI, Flavia; COLOMBO, Arnaldo L.; BENARD, Gil; ALMEIDA JUNIOR, Joao N. de
    Aspergillus spp. identification has become more relevant in clinical practice since azole-resistant cryptic species have been related to invasive fungal infections. Conventional morphologic identification is not able to discriminate Aspergillus species, and DNA sequencing is not feasible for clinical laboratories. MALDI-TOF mass spectrometry is an emergent technology that has been explored to provide fast and accurate identification of microorganisms, including clinically relevant moulds. However, only a few studies have explored the platform VITEK MS for the identification of Aspergillus species. Hence, we provided additional data regarding the performance of the VITEK MS system for the identification of Aspergillus species, including azole-resistant ones. We also improved the RUO system by adding additional spectral profiles from well-identified Aspergillus strains belonging to different noncryptic and cryptic species. The IVD library correctly identified 91.6% of the organisms at genus and section level, and 84.7% at species level, including the azole-resistant Aspergillus lentulus and Aspergillus calidoustus. The organisms belonging to Aspergillus cryptic species had only 31.2% of correct species identification. The RUO library plus our in-house SuperSpectra correctly identified 100% of the organisms at genus and section level and 91.6% at species level. Among organisms belonging to Aspergillus cryptic species, 68.7% had correct species identification. Some closely related Aspergillus cryptic species showed similar spectral profiles and were difficult to be differentiated.