title: Identification of bacterial species by untargeted NMR spectroscopy of the exo-metabolome.
abstract: Identification of bacterial species is a crucial bottleneck for clinical diagnosis of infectious diseases. Quick and reliable identification is a key factor to provide suitable antibiotherapies and avoid the development of multiple-drug resistance. We propose a novel nuclear magnetic resonance (NMR)-based metabolomics strategy for rapid discrimination and identification of several bacterial species that relies on untargeted metabolic profiling of supernatants from bacterial culture media. We show that six bacterial species (Gram negative: Escherichia coli, Pseudomonas aeruginosa, Proteus mirabilis; Gram positive: Enterococcus faecalis, Staphylococcus aureus, and Staphylococcus saprophyticus) can be well discriminated from multivariate statistical analysis, opening new prospects for NMR applications to microbial clinical diagnosis.
authors.affiliation: Université de Lyon, Institut des Sciences Analytiques (CNRS/ENS Lyon/UCB Lyon1), Centre de RMN à Très Hauts Champs, 69100 Villeurbanne, France. benedicte.elena@ens-lyon.fr.
authors.forename: T L
authors.initials: TL
authors.lastname: Palama
authors.forename: I
authors.initials: I
authors.lastname: Canard
authors.forename: G J P
authors.initials: GJ
authors.lastname: Rautureau
authors.forename: C
authors.initials: C
authors.lastname: Mirande
authors.forename: S
authors.initials: S
authors.lastname: Chatellier
authors.forename: B
authors.initials: B
authors.lastname: Elena-Herrmann
mesh_terms: D001419:Bacteria / Q000145:classification*; D013293:Enterococcus faecalis; D004926:Escherichia coli; D009682:Magnetic Resonance Spectroscopy; D055442:Metabolome; D011513:Proteus mirabilis; D011550:Pseudomonas aeruginosa; D013211:Staphylococcus aureus; D057790:Staphylococcus saprophyticus