<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bardet C</submitter><funding>Association Nationale de la Recherche et de la Technologie</funding><pagination>1291-1301</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7826153</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>40(6)</volume><pubmed_abstract>Rapid and reliable pathogen identification is compulsory to confirm ventilator-associated pneumonia (VAP) in order to initiate appropriate antibiotic treatment. In the present proof of concept, the effectiveness of rapid microorganism identification with a targeted bottom-up proteomics approach was investigated in endotracheal aspirate (ETA) samples of VAP patients. To do so, a prototype selected-reaction monitoring (SRM)-based assay was developed on a triple quadrupole mass spectrometer tracking proteotypic peptide surrogates of bacterial proteomes. Through the concurrent monitoring of 97 species-specific peptides, this preliminary assay was dimensioned to characterize the occurrence of six most frequent bacterial species responsible for over more than 65% of VAP. Assay performance was su</pubmed_abstract><journal>European journal of clinical microbiology &amp; infectious diseases : official publication of the European Society of Clinical Microbiology</journal><pubmed_title>Early and specific targeted mass spectrometry-based identification of bacteria in endotracheal aspirates of patients suspected with ventilator-associated pneumonia.</pubmed_title><pmcid>PMC7826153</pmcid><funding_grant_id>2011/0456</funding_grant_id><pubmed_authors>Prudent S</pubmed_authors><pubmed_authors>Jestin MA</pubmed_authors><pubmed_authors>Yugueros-Marcos J</pubmed_authors><pubmed_authors>Lacroix M</pubmed_authors><pubmed_authors>Fortin T</pubmed_authors><pubmed_authors>Chainier D</pubmed_authors><pubmed_authors>Duchiron C</pubmed_authors><pubmed_authors>VALIBI group</pubmed_authors><pubmed_authors>Vignon P</pubmed_authors><pubmed_authors>Clavel M</pubmed_authors><pubmed_authors>Charrier JP</pubmed_authors><pubmed_authors>Francois B</pubmed_authors><pubmed_authors>Vignaud J</pubmed_authors><pubmed_authors>Desachy A</pubmed_authors><pubmed_authors>Le Brun C</pubmed_authors><pubmed_authors>Bardet C</pubmed_authors><pubmed_authors>Ploy MC</pubmed_authors><pubmed_authors>Sommabere A</pubmed_authors><pubmed_authors>Garandeau C</pubmed_authors><pubmed_authors>Pichon N</pubmed_authors><pubmed_authors>Mercier E</pubmed_authors><pubmed_authors>Droual R</pubmed_authors><pubmed_authors>Barraud O</pubmed_authors><pubmed_authors>Rodrigue M</pubmed_authors><pubmed_authors>Lemoine J</pubmed_authors><pubmed_authors>Mattei M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Early and specific targeted mass spectrometry-based identification of bacteria in endotracheal aspirates of patients suspected with ventilator-associated pneumonia.</name><description>Rapid and reliable pathogen identification is compulsory to confirm ventilator-associated pneumonia (VAP) in order to initiate appropriate antibiotic treatment. In the present proof of concept, the effectiveness of rapid microorganism identification with a targeted bottom-up proteomics approach was investigated in endotracheal aspirate (ETA) samples of VAP patients. To do so, a prototype selected-reaction monitoring (SRM)-based assay was developed on a triple quadrupole mass spectrometer tracking proteotypic peptide surrogates of bacterial proteomes. Through the concurrent monitoring of 97 species-specific peptides, this preliminary assay was dimensioned to characterize the occurrence of six most frequent bacterial species responsible for over more than 65% of VAP. Assay performance was su</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jun</publication><modification>2026-04-28T21:40:27.984Z</modification><creation>2021-02-21T04:09:19Z</creation></dates><accession>S-EPMC7826153</accession><cross_references><pubmed>33486654</pubmed><doi>10.1007/s10096-020-04132-y</doi></cross_references></HashMap>