title: A step towards the discrimination of beta-lactamase-producing clinical isolates of Enterobacteriaceae and Pseudomonas aeruginosa by MALDI-TOF mass spectrometry.
abstract: BACKGROUND
  Matrix-Assisted Laser-Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) has already proven to be a powerful tool for species identification in microbiological laboratories. As adequate and rapid screening methods for antibiotic resistance are crucially needed, the present study investigated the discrimination potential of MALDI-TOF MS among extended-spectrum-beta-lactamase (ESBL) or metallo-beta-lactamases- (MBL) producing and the nonproducing strains of Escherichia coli (n=19), Klebsiella pneumoniae (n=19), and Pseudomonas aeruginosa (n=38), respectively.
  
  
  METHODS
  We used a MALDI-TOF MS protocol, usually applied for species identification, in order to integrate a screening method for beta-lactamases into the routine species identification workflow. The acquired spectra were analyzed by visual inspection, statistical similarity analysis and support vector machine (SVM) classification algorithms.
  
  
  RESULTS
  Neither visual inspection nor mathematical similarity analysis allowed discrimination between spectra of beta-lactamase-producing and the nonproducing strains, but classification within a species by SVM-based algorithms could achieve a correct classification rate of up to 70%.
  
  
  CONCLUSIONS
  This shows that MALDI-TOF MS has definite potential to discriminate antibiotic-resistant strains due to ESBL and MBL production from nonproducing strains, but this performance is not yet sufficiently reliable for routine microbiological diagnostics.
authors.affiliation: Institute for Medical Microbiology and Epidemiology of Infectious Diseases, University of Leipzig, Leipzig, Germany. reiner.schaumann@medizin.uni-leipzig.de
authors.forename: Reiner
authors.initials: R
authors.lastname: Schaumann
authors.forename: Nicolas
authors.initials: N
authors.lastname: Knoop
authors.forename: Gelimer H
authors.initials: GH
authors.lastname: Genzel
authors.forename: Kevin
authors.initials: K
authors.lastname: Losensky
authors.forename: Christiane
authors.initials: C
authors.lastname: Rosenkranz
authors.forename: Catalina S
authors.initials: CS
authors.lastname: Stîngu
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Schellenberger
authors.forename: Arne C
authors.initials: AC
authors.lastname: Rodloff
authors.forename: Klaus
authors.initials: K
authors.lastname: Eschrich
mesh_terms: D001424:Bacterial Infections / Q000175:diagnosis* / Q000382:microbiology; D016000:Cluster Analysis; D024881:Drug Resistance, Bacterial / Q000235:genetics*; D004926:Escherichia coli / Q000145:classification / Q000201:enzymology / Q000302:isolation & purification*; D006801:Humans; D007711:Klebsiella pneumoniae / Q000145:classification / Q000201:enzymology / Q000302:isolation & purification*; D011550:Pseudomonas aeruginosa / Q000145:classification / Q000201:enzymology / Q000302:isolation & purification*; D013045:Species Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D001618:beta-Lactamases / Q000145:classification / Q000378:metabolism*
chemical_list: D001618:beta-Lactamases