Mario Paziani

Dr. Mario Paziani

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 October 2016 in Cellular Microbiology
Verified
Journal Article
Closed access
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LSLilian Pereira Silva
Lilian Pereira Silva
PCPatrícia Alves de Castro
Patrícia Alves de Castro
TRThaila F dos Reis
Thaila F dos Reis
MPMario Paziani
Mario Paziani
MKMarcia Regina von Zeska Kress
Marcia Regina von Zeska Kress
Gustavo Henrique GoldmanGustavo Henrique Goldman
Gustavo Henrique Goldman

1 March 2019 in Photodiagnosis and Photodynamic Therapy
Verified
Journal Article
Closed access
MPMario Paziani
Mario Paziani
LTLudmilla Tonani
Ludmilla Tonani
HMHenrique Dantas de Menezes
Henrique Dantas de Menezes
LBLuciano Bachmann
Luciano Bachmann
MWMark Wainwright
Mark Wainwright
MKMarcia Regina von Zeska Kress
Marcia Regina von Zeska Kress

13 March 2019 in ACS Applied Nano Materials
Verified
Journal Article
Closed access
BGBianca Gottardo
Bianca Gottardo
TLThiago Henrique Lemes
Thiago Henrique Lemes
GBGabriela Byzynski
Gabriela Byzynski
MPMario Paziani
Mario Paziani
MKMarcia Regina von Zeska Kress
Marcia Regina von Zeska Kress
DVDiogo Volanti
Diogo Volanti

31 December 2019 in Microorganisms
Verified
Journal Article
Open access
PDF file
MPMario Paziani
Mario Paziani
LTLudmilla Tonani
Ludmilla Tonani
MMMarcia de Souza Carvalho Melhem
Marcia de Souza Carvalho Melhem
MAMargarete Teresa Gottardo de Almeida
Margarete Teresa Gottardo de Almeida
MSMaria Emilia Nadaletto Bonifácio da Silva
Maria Emilia Nadaletto Bonifácio da Silva
MKMarcia Regina von Zeska Kress
Marcia Regina von Zeska Kress
The aim of this study was to compare the performance of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), phenotypic and molecular methods for the identification of Fusarium species complexes isolated from clinical cases in the State of Sao Paulo (Brazil) between the years 2001 and 2017. Sequencing of ITS region of ribosomal DNA and elongation factor 1 alpha gene (ET1α) were used as reference method in the analysis of a total of 108 Fusarium spp. clinical strains isolated from human hosts with superficial and systemic infections. Agreement between MALDI-TOF-MS and molecular data was observed for 97 out of 108 clinical isolates (89.8%), whereas five (4.6%) and six (5.5%) clinical isolates were misidentified and were not identified by MALDI-TOF MS, respectively. ITS region sequences and MALDI-TOF MS mass spectra identified and grouped correctly most of Fusarium clinical isolates at species complex level. This investigation highlights the potential of MALDI-TOF MS technique as a fast and cost-efficient alternative for clinical Fusarium identification. However, MALDI-TOF MS requires a more accurate and larger database. This work is the first comprehensive report for Fusarium population, based on phenotypic analyses, proteomic profile by MALDI-TOF and phylogenetic analyses of Fusarium species complexes isolated from clinical cases in the State of Sao Paulo, Brazil.