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Journal of Medical Microbiology logo

Volume 66, Issue 3

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for rapid identification of fungal rhinosinusitis pathogens Free

Abstract

Filamentous fungi are among the most important pathogens, causing fungal rhinosinusitis (FRS). Current laboratory diagnosis of FRS pathogens mainly relies on phenotypic identification by culture and microscopic examination, which is time consuming and expertise dependent. Although matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS has been employed to identify various fungi, its efficacy in the identification of FRS fungi is less clear.

A total of 153 FRS isolates obtained from patients were analysed at the Clinical Laboratory at the Beijing Tongren Hospital affiliated to the Capital Medical University, between January 2014 and December 2015. They were identified by traditional phenotypic methods and Bruker MALDI-TOF MS (Bruker, Biotyper version 3.1), respectively. Discrepancies between the two methods were further validated by sequencing.

Among the 153 isolates, 151 had correct species identification using MALDI-TOF MS (Bruker, Biot 3.1, score ≥2.0 or 2.3). MALDI-TOF MS enabled identification of some very closely related species that were indistinguishable by conventional phenotypic methods, including 1/10 , 3/20 , 2/30 and 1/20 , which were misidentified by conventional phenotypic methods as , , and , respectively. In addition, 2/2 and 1/1 that were identified only to the genus level by the phenotypic method were correctly identified by MALDI-TOF MS.

MALDI-TOF MS is a rapid and accurate technique, and could replace the conventional phenotypic method for routine identification of FRS fungi in clinical microbiology laboratories.

  • Received:
  • Accepted:
  • Published Online:
Keyword(s): filamentous fungi , fungal rhinosinusitis , matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and rapid identification
© 2017 The Authors
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2017-03-01
2024-04-19
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References

  1. Chatterjee SS, Chakrabarti A. Epidemiology and medical mycology of fungal rhinosinusitis. Otorhinolaryngol Clin Int J 2009; 1:1–13 [View Article]
     [Google Scholar]
  2. Adelson RT, Marple BF. Fungal rhinosinusitis: state-of-the-art diagnosis and treatment. J Otolaryngol 2005; 34:18–23
     [Google Scholar]
  3. Sridhara SR, Paragache G, Panda NK, Chakrabarti A. Mucormycosis in immunocompetent individuals: an increasing trend. JOtolaryngol 2005; 34:402–406 [View Article][PubMed]
     [Google Scholar]
  4. Chakrabarti A, das A, Mandal J, Shivaprakash MR, George VK et al. The rising trend of invasive zygomycosis in patients with uncontrolled diabetes mellitus. Med Mycol 2006; 44:335–342 [View Article][PubMed]
     [Google Scholar]
  5. De Ravin SS, Challipalli M, Anderson V, Shea YR, Marciano B et al. Geosmithia argillacea: an emerging cause of 375 invasive mycosis in human chronic granulomatous disease. Clin Infect Dis 2011; 376:e136e143
     [Google Scholar]
  6. Shigeyasu C, Yamada M, Nakamura N, Mizuno Y, Sato T et al. Keratomycosis caused by Aspergillus viridinutans: an Aspergillus fumigatus-resembling mold presenting distinct clinical and antifungal susceptibility patterns. Med Mycol 2012; 50:525–528 [View Article][PubMed]
     [Google Scholar]
  7. Verweij PE, Varga J, Houbraken J, Rijs AJ, Verduynlunel FM et al. Emericella quadrilineata as cause of invasive aspergillosis. Emerg Infect Dis 2008; 14:566–572 [View Article][PubMed]
     [Google Scholar]
  8. Tan KE, Ellis BC, Lee R, Stamper PD, Zhang SX et al. Prospective evaluation of a matrix-assisted laser desorption ionization-time of flight mass spectrometry system in a hospital clinical microbiology laboratory for identification of bacteria and yeasts: a bench-by-bench study for assessing the impact on time to identification and cost-effectiveness. J Clin Microbiol 2012; 50:3301–3308 [View Article][PubMed]
     [Google Scholar]
  9. Bizzini A, Greub G. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry, a revolution in clinical microbial identification. Clin Microbiol Infect 2010; 16:1614–1619 [View Article][PubMed]
     [Google Scholar]
  10. Fedorko DP, Drake SK, Stock F, Murray PR. Identification of clinical isolates of anaerobic bacteria using matrix-assisted laser desorption ionization-time of flight mass spectrometry. Eur J Clin Microbiol Infect Dis 2012; 31:2257–2262 [View Article][PubMed]
     [Google Scholar]
  11. Lagacé-Wiens PR, Adam HJ, Karlowsky JA, Nichol KA, Pang PF et al. Identification of blood culture isolates directly from positive blood cultures by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry and a commercial extraction system: analysis of performance, cost, and turnaround time. J Clin Microbiol 2012; 50:3324–3328 [View Article][PubMed]
     [Google Scholar]
  12. Saleeb PG, Drake SK, Murray PR, Zelazny AM. Identification of mycobacteria in solid-culture media by matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 2011; 49:1790–1794 [View Article][PubMed]
     [Google Scholar]
  13. Stevenson LG, Drake SK, Shea YR, Zelazny AM, Murray PR. Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of clinically important yeast species. J Clin Microbiol 2010; 48:3482–3486 [View Article][PubMed]
     [Google Scholar]
  14. Verroken A, Janssens M, Berhin C, Bogaerts P, Huang TD et al. Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of Nocardia species. J Clin Microbiol 2010; 48:4015–4021 [View Article][PubMed]
     [Google Scholar]
  15. Lau SK, Tang BS, Teng JL, Chan TM, Curreem SO et al. Matrix-assisted laser desorption ionisation time-of-flight mass spectrometry for identification of clinically significant bacteria that are difficult to identify in clinical laboratories. J Clin Pathol 2014; 67:361–366 [View Article][PubMed]
     [Google Scholar]
  16. Lau SK, Tang BS, Curreem SO, Chan TM, Martelli P et al. Matrix-assisted laser desorption ionization-time of flight mass spectrometry for rapid identification of Burkholderia pseudomallei: importance of expanding databases with pathogens endemic to different localities. J Clin Microbiol 2012; 50:3142–3143 [View Article][PubMed]
     [Google Scholar]
  17. Wang DL. Medicine Mycology–Laboratory Testing Guidelines Beijing: People's Health Press; 2005 pp. 20–69
     [Google Scholar]
  18. Qin QX, Qin LM, Zhang QQ. Clinical Mycology Shanghai: Shanghai Medical University Press, Fudan University Press; 2001 pp. 334–407
     [Google Scholar]
  19. Zhu M, Geng JJ, Wang M et al. Clinical application of ITS and β-tubulin gene sequencing in the identification of Aspergillus spp. Chin J Lab Med 2011; 4:353–357
     [Google Scholar]
  20. Triest D, Stubbe D, de Cremer K, Piérard D, Normand AC et al. Use of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of molds of the Fusarium genus. J Clin Microbiol 2015; 53:465–476 [View Article][PubMed]
     [Google Scholar]
  21. Ling H, Yuan Z, Shen J, wang Z, Xua Y. Accuracy of MALDI-TOF mass spectrometry for the identification of clinical pathogenic fungi: a meta-analysis. J Clin Microbiol 2014; 52:2573–2582 [CrossRef]
     [Google Scholar]
  22. Chao Q-T, Lee T-F, Teng S-H, Peng L-Y, Chen P-H et al. Comparison of the accuracy of two conventional phenotypic methods and two MALDI-TOF MS systems with that of DNA sequencing analysis for correctly identifying clinically encountered yeasts. PLoS One 2014; 9:e109376 [View Article]
     [Google Scholar]
  23. Barker AP, Horan JL, Slechta ES, Alexander BD, Hanson KE. Complexities associated with the molecular and proteomic identification of Paecilomyces species in the clinical mycology laboratory. Med Mycol 2014; 52:537–545 [View Article][PubMed]
     [Google Scholar]
  24. Putignani L, del Chierico F, Onori M, Mancinelli L, Argentieri M et al. MALDI-TOF mass spectrometry proteomic phenotyping of clinically relevant fungi. Mol Biosyst 2011; 7:620–629 [View Article]
     [Google Scholar]
  25. De Carolis E, Posteraro B, Lass-Flörl C, Vella A, Florio AR et al. Species identification of Aspergillus, Fusarium and Mucorales with direct surface analysis by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Clin Microbiol Infect 2012; 18:475–484 [View Article][PubMed]
     [Google Scholar]
  26. Posteraro B, Vella A, Cogliati M, de Carolis E, Florio AR et al. Matrix-assisted laser desorption ionization-time of flight mass spectrometry-based method for discrimination between molecular types of Cryptococcus neoformans and Cryptococcus gattii. J Clin Microbiol 2012; 50:2472–2476 [View Article][PubMed]
     [Google Scholar]
  27. Kolecka A, Khayhan K, Groenewald M, Theelen B, Arabatzis M et al. Identification of medically relevant species of arthroconidial yeasts by use of matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 2013; 51:2491–2500 [View Article][PubMed]
     [Google Scholar]
  28. Alshawa K, Beretti JL, Lacroix C, Feuilhade M, Dauphin B et al. Successful identification of clinical dermatophyte and Neoscytalidium species by matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 2012; 50:2277–2281 [View Article][PubMed]
     [Google Scholar]
  29. Sanguinetti M, Posteraro B. Identification of molds by matrix-assisted laser desorption ionization-time of flight mass spectrometry. J Clin Microbiol 2017; 55:369–379 [CrossRef]
     [Google Scholar]
  30. Romett JL, Newman RK. Aspergillosis of the nose and paranasal sinuses. Laryngoscope 1982; 92:764–766 [View Article]
     [Google Scholar]
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Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for rapid identification of fungal rhinosinusitis pathogens
J. Med. Microbiol. 66, 328 (2017); https://doi.org/10.1099/jmm.0.000435
/content/journal/jmm/10.1099/jmm.0.000435
/content/journal/jmm/10.1099/jmm.0.000435
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