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Title: Development and validation of an extended database for yeast identification by MALDI-TOF MS in Argentina
Authors: Taverna, Constanza Giselle 
Mazza, Mariana 
Bueno, Nadia Soledad 
Alvarez, Christian 
Amigot, Susana 
Andreani, Mariana 
Azula, Natalia 
Barrios, Rubén 
Fernández, Norma 
Fox, Barbara 
Guelfand, Liliana 
Maldonado, Ivana 
Murisengo, Omar Alejandro 
Relloso, Silvia 
Vivot, Matias 
Davel, Graciela 
Issue Date: 1-Feb-2019
Journal: Medical mycology 
Matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) has revolutionized the identification of microorganisms in clinical laboratories because it is rapid, relatively simple to use, accurate, and can be used for a wide number of microorganisms. Several studies have demonstrated the utility of this technique in the identification of yeasts; however, its performance is usually improved by the extension of the database. Here we developed an in-house database of 143 strains belonging to 42 yeast species in the MALDI Biotyper platform, and we validated the extended database with 388 regional strains and 15 reference strains belonging to 55 yeast species. We also performed an intra- and interlaboratory study to assess reproducibility and analyzed the use of the cutoff values of 1.700 and 2.000 to correctly identify at species level. The creation of an in-house database that extended the manufacturer's database was successful in view of no incorrect identification was introduced. The best performance was observed by using the extended database and a cutoff value of 1.700 with a sensitivity of .94 and specificity of .96. A reproducibility study showed utility to detect deviations and could be used for external quality control. The extended database was able to differentiate closely related species and it has potential in distinguishing the molecular genotypes of Cryptococcus neoformans and Cryptococcus gattii.
DOI: 10.1093/mmy/myy021
Appears in Collections:Publicaciones INEI

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