title: Classification algorithm for subspecies identification within the Mycobacterium abscessus species, based on matrix-assisted laser desorption ionization-time of flight mass spectrometry.
abstract: Mycobacterium abscessus, as a species, has been increasingly implicated in respiratory infections, notably in cystic fibrosis patients. The species comprises 3 subspecies, which can be difficult to identify. Since they differ in antibiotic susceptibility and clinical relevance, developing a routine diagnostic tool discriminating Mycobacterium abscessus at the subspecies level is a real challenge. Forty-three Mycobacterium abscessus species isolates, previously identified by multilocus sequence typing, were analyzed by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). A subspecies identification algorithm, based on five discriminating peaks, was drawn up and validated by blind identification of a further 49 strains, 94% of which (n = 46) were correctly identified. Two M. abscessus subsp. massiliense strains were misidentified as M. abscessus subsp. abscessus, and for 1 other strain identification failed. Inter- and intralaboratory reproducibility tests were conclusive. This study presents, for the first time, a classification algorithm for MALDI-TOF MS identification of the 3 M. abscessus subspecies. MALDI-TOF MS proved effective in discriminating within the M. abscessus species and might be easily integrated into the workflow of microbiology labs.
authors.affiliation: CHRU Brest, Hôpital Cavale Blanche, Pôle de Biologie-Pathologie, Unité de Bactériologie, Brest, France.
authors.forename: Marie-Sarah
authors.initials: MS
authors.lastname: Fangous
authors.affiliation: Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Laboratoire Associé and APHP, GH Saint-Louis-Lariboisière, Paris, France INSERM, IAME, UMR 1137 and Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
authors.forename: Faiza
authors.initials: F
authors.lastname: Mougari
authors.affiliation: Université Brest, EA 3882-LUBEM, SFR 148 ScInBioS, Brest, France.
authors.forename: Stéphanie
authors.initials: S
authors.lastname: Gouriou
authors.affiliation: Université Brest, EA 3882-LUBEM, SFR 148 ScInBioS, Brest, France.
authors.forename: Elodie
authors.initials: E
authors.lastname: Calvez
authors.affiliation: Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Laboratoire Associé and APHP, GH Saint-Louis-Lariboisière, Paris, France.
authors.forename: Laurent
authors.initials: L
authors.lastname: Raskine
authors.affiliation: Centre National de Référence des Mycobactéries et de la Résistance des Mycobactéries aux Antituberculeux, Laboratoire Associé and APHP, GH Saint-Louis-Lariboisière, Paris, France INSERM, IAME, UMR 1137 and Université Paris Diderot, Sorbonne Paris Cité, Paris, France.
authors.forename: Emmanuelle
authors.initials: E
authors.lastname: Cambau
authors.affiliation: CHRU Brest, Hôpital Cavale Blanche, Pôle de Biologie-Pathologie, Unité de Bactériologie, Brest, France Université Brest, EA 3882-LUBEM, SFR 148 ScInBioS, Brest, France.
authors.forename: Christopher
authors.initials: C
authors.lastname: Payan
authors.affiliation: CHRU Brest, Hôpital Cavale Blanche, Pôle de Biologie-Pathologie, Unité de Bactériologie, Brest, France Université Brest, EA 3882-LUBEM, SFR 148 ScInBioS, Brest, France hery@univ-brest.fr.
authors.forename: Geneviève
authors.initials: G
authors.lastname: Héry-Arnaud
mesh_terms: D000465:Algorithms; D015373:Bacterial Typing Techniques / Q000379:methods*; D003951:Diagnostic Errors; D006801:Humans; D009161:Mycobacterium / Q000737:chemistry* / Q000145:classification*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*