{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T12:40:13Z","timestamp":1790340013144,"version":"4.1.0"},"reference-count":24,"publisher":"Microbiology Society","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,9,1]]},"abstract":"<jats:p>The predisposition of patients with cystic fibrosis (CF) for recurrent pulmonary infections can result in poor prognosis of the disease. Although the clinical significance in CF of micro-organisms, such as <jats:italic>Staphylococcus aureus<\/jats:italic>, <jats:italic>Haemophilus influenzae<\/jats:italic> and <jats:italic>Pseudomonas aeruginosa<\/jats:italic>, is well established, the implication of uncommon glucose non-fermenting Gram-negative bacilli (UGNF-GNB) in respiratory samples from CF patients is still unclear. Because of limitations of traditional methods used in most clinical laboratories, the accurate identification of these microbes is a challenge. Matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) is an alternative tool for efficient identification of bacteria. This was a retrospective study to evaluate different identification methods in a collection of UGNF-GNB isolated from children with CF during a period of three years. The performance of MALDI-TOF was compared to that of 16S rDNA gene sequencing and to a conventional and automated phenotypic identification. The discriminatory power of MALDI-TOF (75.0\u200a% agreement) was superior to automated techniques (67.1\u200a% agreement) and to conventional phenotypical identification (50.0\u200a% agreement). MALDI-TOF also demonstrated high accuracy in identifying <jats:italic>Stenotrophomonas maltophilia<\/jats:italic>, <jats:italic>Achromobacter xylosoxidans<\/jats:italic> and <jats:italic>Chryseobacterium indologenes<\/jats:italic>, but had limited utility in identifying <jats:italic>Pandoraea<\/jats:italic> spp. and some species of <jats:italic>Acinetobacter<\/jats:italic> and <jats:italic>Chryseobacterium<\/jats:italic> (other than <jats:italic>C. indologenes<\/jats:italic>). Although MALDI-TOF identified only 75\u200a% of the isolates in comparison with 16S rDNA gene sequencing, the prompt identification and high discriminatory power exhibited by MALDI-TOF make it a useful tool for the characterization of micro-organisms that are difficult to identify using routine methods.<\/jats:p>","DOI":"10.1099\/jmm.0.076869-0","type":"journal-article","created":{"date-parts":[[2014,7,1]],"date-time":"2014-07-01T14:43:17Z","timestamp":1404225797000},"page":"1148-1153","source":"Crossref","is-referenced-by-count":27,"title":["MALDI-TOF: A useful tool for laboratory identification of uncommon glucose non-fermenting Gram-negative bacteria associated with cystic fibrosis"],"prefix":"10.1099","volume":"63","author":[{"given":"Helena Aguilar Peres","family":"Homem de Mello de Souza","sequence":"first","affiliation":[{"name":"Bacteriology Section, Hospital de Cl\u00ednicas \u2013 Universidade Federal do Paran\u00e1 (UFPR), Curitiba, PR, 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