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Discrepancy in MALDI-TOF MS identification of uncommon Gram-negative bacteria from lower respiratory secretions in patients with cystic fibrosis

Authors AbdulWahab A, Taj-Aldeen SJ, ibrahim EB, Talaq E, Abu-Madi M, Fotedar R

Received 5 January 2015

Accepted for publication 23 February 2015

Published 30 April 2015 Volume 2015:8 Pages 83—88


Checked for plagiarism Yes

Review by Single-blind

Peer reviewer comments 3

Editor who approved publication: Professor Suresh Antony

Atqah AbdulWahab,1,2 Saad J Taj-Aldeen,3 Emad Bashir Ibrahim,3 Eman Talaq,4 Marawan Abu-Madi,4 Rashmi Fotedar5

1Department of Pediatrics, Hamad Medical Corporation, Doha, Qatar; 2Department of Pediatrics, Weill Cornell Medical College, Doha, Qatar; 3Microbiology Division, Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar; 4Department of Health Sciences, College of Arts and Sciences, Qatar University, Doha, Qatar; 5Biotechnology Center, Ministry of Environment, Doha, Qatar

Introduction: Early identification of microbial organisms from respiratory secretions of patients with cystic fibrosis (CF) is important to guide therapeutic decisions. The objective was to compare the accuracy of matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) relative to the conventional phenotypic method in identifying common bacterial isolates, including nonfermenting Gram-negative bacteria, in a cohort of patients with CF.
Methods: A total of 123 isolates from 50 patients with CF representing 14 bacterial species from respiratory specimens were identified using MALDI-TOF MS in parallel with conventional phenotypic methods. Discrepancies were confirmed by 16S ribosomal RNA (rRNA) gene sequencing in five Gram-negative isolates.
Results: The MALDI-TOF MS managed to identify 122/123 (99.2%) bacterial isolates to the genus level and 118/123 (95.9%) were identified to the species level. The MALDI-TOF MS results were 100% consistent to the species level with conventional phenotypic identification for isolates of Staphylococcus aureus, Pseudomonas aeruginosa, Haemophilus influenzae, Streptococcus pyogenes, Achromobacter xylosoxidans, Stenotrophomonas maltophilia, and other uncommon organisms such as Chryseobacterium gleum and Enterobacter cloacae. The 5/123 (4.6%) isolates misidentified were all Gram-negative bacteria. The isolation of E. cloacae and Haemophilus paraphrohaemolyticus may extend the potentially pathogenic list of organisms isolated from patients with CF.
Conclusion: Although the technique provides an early identification and antimicrobial therapy approach in patients with CF, limitation in the diagnosis of uncommon Gram-negative bacteria may exist.

Keywords: cystic fibrosis, MALDI-TOF MS, bacteria, respiratory secretions, molecular identification

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