<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Normand, Anne-Cécile</style></author><author><style face="normal" font="default" size="100%">Marion Blaize</style></author><author><style face="normal" font="default" size="100%">Sébastien Imbert</style></author><author><style face="normal" font="default" size="100%">Arnaud Fekkar</style></author><author><style face="normal" font="default" size="100%">Piarroux, Renaud</style></author></authors><subsidiary-authors><author><style face="normal" font="default" size="100%">Ann Packeu</style></author><author><style face="normal" font="default" size="100%">Pierre Becker</style></author><author><style face="normal" font="default" size="100%">Dirk Stubbe</style></author></subsidiary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification of Molds with Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry: Performance of the Newly Developed MSI-2 Application in Comparison with the Bruker Filamentous Fungi Database and MSI-1.</style></title><secondary-title><style face="normal" font="default" size="100%">J Clin Microbiol</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Aspergillus</style></keyword><keyword><style  face="normal" font="default" size="100%">Databases, Factual</style></keyword><keyword><style  face="normal" font="default" size="100%">Fungi</style></keyword><keyword><style  face="normal" font="default" size="100%">Fusarium</style></keyword><keyword><style  face="normal" font="default" size="100%">Humans</style></keyword><keyword><style  face="normal" font="default" size="100%">Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2021</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2021 Sep 20</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">59</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) represents a promising tool for the rapid and efficient identification of molds, but improvements are still necessary to achieve satisfactory results when identifying cryptic species. Here, we aimed to validate a new web application, MSI-2, which replaces MSI-1, an application that was built and deployed online in 2017. For the evaluation, we gathered 633 challenging isolates obtained from daily hospital practice that were first identified with DNA-based methods, and we submitted their corresponding mass spectra to three identification programs (Bruker, MSI-1, and MSI-2). The MSI-2 application had a better identification performance at the species level than MSI-1 and Bruker, reaching 83.25% correct identifications, compared with 63.19% (MSI-1), 38.07% (Bruker with a 1.7 threshold), and 21.8% (Bruker with a 2.0 threshold). The MSI-2 application performed especially well for Aspergillus and Fusarium species, including for many cryptic species, reaching 90% correct identifications for Aspergillus species and 78% for Fusarium species compared to 69% and 43% with MSI-1. Such an improvement may have a positive impact on patient management by facilitating the identification of cryptic species potentially associated with a specific antifungal resistance profile.&lt;/p&gt;
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