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Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Identification of Yeasts Is Contingent on Robust Reference Spectra
被引:112
|作者:
Pinto, Angie
[1
]
Halliday, Catriona
[1
]
Zahra, Melissa
[2
]
van Hal, Sebastian
[2
]
Olma, Tom
[1
]
Maszewska, Krystyna
[3
]
Iredell, Jonathan R.
[1
]
Meyer, Wieland
[1
,3
]
Chen, Sharon C. -A.
[1
,3
]
机构:
[1] Westmead Hosp, Ctr Infect Dis & Microbiol Lab Serv, Sydney, NSW, Australia
[2] Sydney SW Pathol Serv, Dept Microbiol & Infect Dis, Sydney, NSW, Australia
[3] Univ Sydney, Mol Mycol Res Lab, Westmead Millenium Inst, Sydney Med Sch,Westmead Hosp, Sydney, NSW 2006, Australia
来源:
关键词:
CRYPTOCOCCUS-NEOFORMANS;
CANDIDA-BRACARENSIS;
MULTICENTER;
SUSCEPTIBILITY;
NIVARIENSIS;
GATTII;
D O I:
10.1371/journal.pone.0025712
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Background: Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) for yeast identification is limited by the requirement for protein extraction and for robust reference spectra across yeast species in databases. We evaluated its ability to identify a range of yeasts in comparison with phenotypic methods. Methods: MALDI-TOF MS was performed on 30 reference and 167 clinical isolates followed by prospective examination of 67 clinical strains in parallel with biochemical testing (total n = 264). Discordant/unreliable identifications were resolved by sequencing of the internal transcribed spacer region of the rRNA gene cluster. Principal Findings: Twenty (67%; 16 species), and 24 (80%) of 30 reference strains were identified to species, (spectral score >= 2.0) and genus (score >= 1.70)-level, respectively. Of clinical isolates, 140/167 (84%) strains were correctly identified with scores of >= 2.0 and 160/167 (96%) with scores of >= 1.70; amongst Candida spp. (n = 148), correct species assignment at scores of >= 2.0, and >= 1.70 was obtained for 86% and 96% isolates, respectively (vs. 76.4% by biochemical methods). Prospectively, species-level identification was achieved for 79% of isolates, whilst 91% and 94% of strains yielded scores of >= 1.90 and >= 1.70, respectively (100% isolates identified by biochemical methods). All test scores of 1.70-1.90 provided correct species assignment despite being identified to "genus-level''. MALDI-TOF MS identified uncommon Candida spp., differentiated Candida parapsilosis from C. orthopsilosis and C. metapsilosis and distinguished between C. glabrata, C. nivariensis and C. bracarensis. Yeasts with scores of <1.70 were rare species such as C. nivariensis (3/10 strains) and C. bracarensis (n = 1) but included 4/12 Cryptococcus neoformans. There were no misidentifications. Four novel species-specific spectra were obtained. Protein extraction was essential for reliable results. Conclusions: MALDI-TOF MS enabled rapid, reliable identification of clinically-important yeasts. The addition of spectra to databases and reduction in identification scores required for species-level identification may improve its utility.
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