VIVIANE MAZO FAVERO GIMENES
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/53 - Laboratório de Micologia, Hospital das Clínicas, Faculdade de Medicina
LIM/53 - Laboratório de Micologia, Hospital das Clínicas, Faculdade de Medicina
5 resultados
Resultados de Busca
Agora exibindo 1 - 5 de 5
- Candida blankii: an emergent opportunistic yeast with reduced susceptibility to antifungals(2018) ALMEIDA JR., Joao Nobrega de; CAMPOS, Silvia V.; THOMAZ, Danilo Y.; THOMAZ, Luciana; ALMEIDA, Renato K. G. de; NEGRO, Gilda M. B. del; GIMENES, Viviane F.; GRENFELL, Rafaella C.; MOTTA, Adriana L.; ROSSI, Flavia; BENARD, Gil
- 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. deAspergillus 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.
- Identification of Candida haemulonii Complex Species: Use of ClinProTools (TM) to Overcome Limitations of the Bruker Biotyper (TM), VITEK MS (TM) IVD, and VITEK MS (TM) RUO Databases(2016) GRENFELL, Rafaella C.; SILVA JUNIOR, Afonso R. da; NEGRO, Gilda M. B. Del; MUNHOZ, Regina B.; GIMENES, Viviane M. F.; ASSIS, Diego M.; ROCKSTROH, Anna C.; MOTTA, Adriana L.; ROSSI, Flavia; JULIANO, Luiz; BENARD, Gil; ALMEIDA JUNIOR, Joao N. deCandida haemulonli is now considered a complex of two species and one variety: C. haemulonii sensu strict, Candida duobushaemulonii and the variety C. haemulonii var. vulnera. Identification (ID) of these species is relevant for epidemiological purposes and for therapeutic management, but the different phenotypic commercial systems are unable to provide correct species ID for these emergent pathogens. Hence, we evaluated the MALDI-TOF MS performance for the ID of C. haemulonli species, analyzing isolates/strains of C. haemulonli complex species, Candida pseudohaemulonii and Candida auris by two commercial platforms, their databases and softwares. To differentiate C. haemulonli sensu sctricto from the variety vulnera, we used the ClinProTools (TM) models and a single-peak analysis with the software FlexAnalysis (TM). The Biotyper (TM) database gave 100% correct species ID for C. haemulonii sensu strict, C. pseudohaemulonii and C. auris, with 69% of correct species ID for C. duobushaemulonii. Vitek MS (TM) IVD database gave 100% correct species ID for C. haemulonii sensu stricto, misidentifying all C. duobushaemulonii and C. pseudohaemulonii as C. haemulonii, being unable to identify C. auris. The Vitek MS (TM) RUO database needed to be upgraded with in-house SuperSpectra to discriminate C. haemulonii sensu stricto, C. duobushaemulonii, C. pseudohaemulonii, and C. auris strains/isolates. The generic algorithm model from ClinProTools (TM) software showed recognition capability of 100% and cross validation of 98.02% for the discrimination of C. haemulonli sensu stricto from the variety vulnera. Single-peak analysis showed that the peaks 5670, 6878, or 13750 m/z can distinguish C. haemulonli sensu stricto from the variety vulnera.
- Environmental Clonal Spread of Azole-Resistant Candida parapsilosis with Erg11-Y132F Mutation Causing a Large Candidemia Outbreak in a Brazilian Cancer Referral Center(2021) THOMAZ, Danilo Y.; ALMEIDA, Joao N. de; SEJAS, Odeli N. E.; NEGRO, Gilda M. B. Del; CARVALHO, Gabrielle O. M. H.; GIMENES, Viviane M. F.; SOUZA, Maria Emilia B. de; ARASTEHFAR, Amir; CAMARGO, Carlos H.; MOTTA, Adriana L.; ROSSI, Flavia; PERLIN, David S.; FREIRE, Maristela P.; ABDALA, Edson; BENARD, GilClonal outbreaks due to azole-resistant Candida parapsilosis (ARCP) isolates have been reported in numerous studies, but the environmental niche of such isolates has yet to be defined. Herein, we aimed to identify the environmental niche of ARCP isolates causing unremitting clonal outbreaks in an adult ICU from a Brazilian cancer referral center. C. parapsilosis sensu stricto isolates recovered from blood cultures, pericatheter skins, healthcare workers (HCW), and nosocomial surfaces were genotyped by multilocus microsatellite typing (MLMT). Antifungal susceptibility testing was performed by the EUCAST (European Committee for Antimicrobial Susceptibility Testing) broth microdilution reference method and ERG11 was sequenced to determine the azole resistance mechanism. Approximately 68% of isolates were fluconazole-resistant (76/112), including pericatheter skins (3/3, 100%), blood cultures (63/70, 90%), nosocomial surfaces (6/11, 54.5%), and HCW's hands (4/28, 14.2%). MLMT revealed five clusters: the major cluster contained 88.2% of ARCP isolates (67/76) collected from blood (57/70), bed (2/2), pericatheter skin (2/3), from carts (3/7), and HCW's hands (3/27). ARCP isolates were associated with a higher 30 day crude mortality rate (63.8%) than non-ARCP ones (20%, p = 0.008), and resisted two environmental decontamination attempts using quaternary ammonium. This study for the first time identified ARCP isolates harboring the Erg11-Y132F mutation from nosocomial surfaces and HCW's hands, which were genetically identical to ARCP blood isolates. Therefore, it is likely that persisting clonal outbreak due to ARCP isolates was fueled by environmental sources. The resistance of Y132F ARCP isolates to disinfectants, and their potential association with a high mortality rate, warrant vigilant source control using effective environmental decontamination.
- Evaluation of Vitek MS for Differentiation of Cryptococcus neoformans and Cryptococcus gattii Genotypes(2019) SIQUEIRA, Lumena P. Machado; GIMENES, Viviane M. Favero; FREITAS, Roseli Santos de; MELHEM, Marcia de Souza Carvalho; BONFIETTI, Lucas Xavier; JR, Afonso Rafael da Silva; SANTOS, Leticia B. Souza; MOTTA, Adriana L.; ROSSI, Flavia; BENARD, Gil; JR, Joao N. de AlmeidaCryptococcus neoformans and Cryptococcus gattii are the main pathogenic species of invasive cryptococcosis among the Cryptococcus species. Taxonomic studies have shown that these two taxa have different genotypes or molecular types with biological and ecoepidemiological peculiarities. Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been proposed as an alternative method for labor-intensive methods for C. neoformans and C. gattii genotype differentiation. However, Vitek MS, one of the commercial MALDI-TOF MS instruments, has not been yet been evaluated for this purpose. Thus, we constructed an in-house database with reference strains belonging to the different C. neoformans (VNI, VNII, VNIII, and VNIV) and C. gattii (VGI, VGII, VGIII, and VGIV) major molecular types by using the software Saramis Premium (bioMerieux, Marcy-l'Etoile, France). Then, this new database was evaluated for discrimination of the different genotypes. Our in-house database provided correct identification for all C. neoformans and C. gattii genotypes; however, due to the intergenotypic mass spectral similarities, a careful postanalytic evaluation is necessary to provide correct genotype identification.