Literature DB >> 25905870

Application of matrix-assisted laser desorption ionization time-of-flight mass spectrometry in the screening of vanA-positive Enterococcus faecium.

Li-jun Wang1, Xin-xin Lu2, Wei Wu3, Wen-jun Sui4, Gui Zhang5.   

Abstract

In order to evaluate a rapid matrix-assisted laser desorption ionization-time of flight mass spectrometry (MAIDI-TOF MS) assay in screening vancomycin-resistant Enterococcus faecium, a total of 150 E. faecium clinical strains were studied, including 60 vancomycin-resistant E. faecium (VREF) isolates and 90 vancomycin-susceptible (VSEF) strains. Vancomycin resistance genes were detected by sequencing. E. faecium were identified by MALDI-TOF MS. A genetic algorithm model with ClinProTools software was generated using spectra of 30 VREF isolates and 30 VSEF isolates. Using this model, 90 test isolates were discriminated between VREF and VSEF. The results showed that all sixty VREF isolates carried the vanA gene. The performance of VREF detection by the genetic algorithm model of MALDI-TOF MS compared to the sequencing method was sensitivity = 80%, specificity = 90%, false positive rate =10%, false negative rate =10%, positive predictive value = 80%, negative predictive value= 90%. MALDI-TOF MS can be used as a screening test for discrimination between vanA-positive E. faecium and vanA-negative E. faecium.

Entities:  

Year:  2014        PMID: 25905870     DOI: 10.1255/ejms.1298

Source DB:  PubMed          Journal:  Eur J Mass Spectrom (Chichester)        ISSN: 1469-0667            Impact factor:   1.067


  4 in total

1.  Next-Generation Sequencing and MALDI Mass Spectrometry in the Study of Multiresistant Processed Meat Vancomycin-Resistant Enterococci (VRE).

Authors:  Carolina Sabença; Telma de Sousa; Soraia Oliveira; Didier Viala; Laetitia Théron; Christophe Chambon; Michel Hébraud; Racha Beyrouthy; Richard Bonnet; Manuela Caniça; Patrícia Poeta; Gilberto Igrejas
Journal:  Biology (Basel)       Date:  2020-04-27

2.  Efficiently Predicting Vancomycin Resistance of Enterococcus Faecium From MALDI-TOF MS Spectra Using a Deep Learning-Based Approach.

Authors:  Hsin-Yao Wang; Tsung-Ting Hsieh; Chia-Ru Chung; Hung-Ching Chang; Jorng-Tzong Horng; Jang-Jih Lu; Jia-Hsin Huang
Journal:  Front Microbiol       Date:  2022-06-06       Impact factor: 6.064

Review 3.  MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis.

Authors:  Neelja Singhal; Manish Kumar; Pawan K Kanaujia; Jugsharan S Virdi
Journal:  Front Microbiol       Date:  2015-08-05       Impact factor: 5.640

4.  Screening of biomarkers of drug resistance or virulence in ESCAPE pathogens by MALDI-TOF mass spectrometry.

Authors:  Samantha Flores-Treviño; Elvira Garza-González; Soraya Mendoza-Olazarán; Rayo Morfín-Otero; Adrián Camacho-Ortiz; Eduardo Rodríguez-Noriega; Adrián Martínez-Meléndez; Paola Bocanegra-Ibarias
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

  4 in total

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