Oligonucleotide Array and VITEK Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry in Species Identification of Blood Yeast Isolates

We evaluated matrix-assisted laser desorption ionization time-of-flight mass spectrometry using VITEK MS (IVD database) and an oligonucleotide array based on the internal transcribed spacer-1 (ITS-1) and ITS-2 sequences of rRNA genes for the identification of Candida spp. from blood cultures. Five-hundred and twelve consecutive bloodstream yeast isolates were collected daily and initially identified by the phenotypic automated method (VITEK YBC or VITEK2 YST card). Inconsistent results were confirmed by D1-D2 region of 28S rRNA genes and ITSs. Excluding two unidentified yeast isolates, the oligonucleotide array and VITEK MS correctly identified 99.6% (508) and 96.9% (494) of 510 yeast isolates, respectively. The oligonucleotide array and VITEK MS demonstrated high correct identification rates for four major Candida species (C. albicans 100%, 98.4%; C. glabrata 100%, 100%; C. parapsilosis 100%, 93.3%; C. tropicalis 100%, 97.3%), but lower correct identification rates for other Candida species (91.7 and 87.5%, respectively). In conclusion, the identification performance of the oligonucleotide array is comparable to that of VITEK MS, and can serve as a supplemental tool for the identification of Candida species.

[1]  Matthew Fisher,et al.  First hospital outbreak of the globally emerging Candida auris in a European hospital , 2016, Antimicrobial Resistance & Infection Control.

[2]  W. Ko,et al.  Diagnostic role of an oligonucleotide array in a heart transplantation patient with invasive pulmonary aspergillosis. , 2016, Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi.

[3]  L. Juliano,et al.  Identification of Candida haemulonii Complex Species: Use of ClinProToolsTM to Overcome Limitations of the Bruker BiotyperTM, VITEK MSTM IVD, and VITEK MSTM RUO Databases , 2016, Front. Microbiol..

[4]  F. Kong,et al.  A Comprehensive Evaluation of the Bruker Biotyper MS and Vitek MS Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry Systems for Identification of Yeasts, Part of the National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) Study, 2012 to 2013 , 2016, Journal of Clinical Microbiology.

[5]  J. Sobel,et al.  Executive Summary: Clinical Practice Guideline for the Management of Candidiasis: 2016 Update by the Infectious Diseases Society of America. , 2016, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[6]  J. Sobel,et al.  Clinical Practice Guideline for the Management of Candidiasis: 2016 Update by the Infectious Diseases Society of America. , 2016, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[7]  Chun-Eng Liu,et al.  Changing epidemiology of candidemia in a medical center in middle Taiwan. , 2015, Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhi.

[8]  E. Leoncini,et al.  Are the Conventional Commercial Yeast Identification Methods Still Helpful in the Era of New Clinical Microbiology Diagnostics? A Meta-Analysis of Their Accuracy , 2015, Journal of Clinical Microbiology.

[9]  O. Karatuna,et al.  [Evaluation of common commercial systems for the identification of yeast isolates in microbiology laboratories: a multicenter study]. , 2015, Mikrobiyoloji bulteni.

[10]  A. Chowdhary,et al.  Multidrug-Resistant Candida auris Misidentified as Candida haemulonii: Characterization by Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry and DNA Sequencing and Its Antifungal Susceptibility Profile Variability by Vitek 2, CLSI Broth Microdilution, and Etest Method , 2015, Journal of Clinical Microbiology.

[11]  M. Arendrup,et al.  Echinocandin resistance: an emerging clinical problem? , 2014, Current opinion in infectious diseases.

[12]  P. Hsueh,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 , 2014, PloS one.

[13]  V. Rotimi,et al.  Comparative evaluation of two matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) systems for the identification of clinically significant yeasts. , 2014, International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases.

[14]  J. Shin,et al.  Misidentification of Candida guilliermondii as C. famata among Strains Isolated from Blood Cultures by the VITEK 2 System , 2014, BioMed research international.

[15]  C. Liao,et al.  Antifungal Susceptibilities of Candida Isolates Causing Bloodstream Infections at a Medical Center in Taiwan, 2009-2010 , 2014, Antimicrobial Agents and Chemotherapy.

[16]  J. Aguado,et al.  Epidemiology and predictive factors for early and late mortality in Candida bloodstream infections: a population-based surveillance in Spain. , 2014, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[17]  S. Göttig,et al.  Performance of two MALDI-TOF MS systems for the identification of yeasts isolated from bloodstream infections and cerebrospinal fluids using a time-saving direct transfer protocol , 2014, Medical Microbiology and Immunology.

[18]  S. Suh,et al.  Accuracy of Species-Level Identification of Yeast Isolates from Blood Cultures from 10 University Hospitals in South Korea by Use of the Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry-Based Vitek MS System , 2013, Journal of Clinical Microbiology.

[19]  Nicola Clementi,et al.  Comparative Evaluation of the Bruker Biotyper and Vitek MS Matrix-Assisted Laser Desorption Ionization–Time Of Flight (MALDI-TOF) Mass Spectrometry Systems for Identification of Yeasts of Medical Importance , 2013, Journal of Clinical Microbiology.

[20]  S. Richter,et al.  Multicenter Study Evaluating the Vitek MS System for Identification of Medically Important Yeasts , 2013, Journal of Clinical Microbiology.

[21]  N. Ledeboer,et al.  Advances in Identification of Clinical Yeast Isolates by Use of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry , 2013, Journal of Clinical Microbiology.

[22]  Patrick Ducoroy,et al.  Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals. , 2013, Medical mycology.

[23]  Hsien-Chang Chang,et al.  A highly sensitive method for molecular diagnosis of fungal keratitis: a dot hybridization assay. , 2012, Ophthalmology.

[24]  M. Woods,et al.  Lodderomyces elongisporus endocarditis in an intravenous drug user: a new entity in fungal endocarditis. , 2012, Journal of medical microbiology.

[25]  K. Carroll,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 , 2012, Journal of Clinical Microbiology.

[26]  Xavier Iriart,et al.  Routine Identification of Medical Fungi by the New Vitek MS Matrix-Assisted Laser Desorption Ionization–Time of Flight System with a New Time-Effective Strategy , 2012, Journal of Clinical Microbiology.

[27]  L. Hall,et al.  Performance and Cost Analysis of Matrix-Assisted Laser Desorption Ionization–Time of Flight Mass Spectrometry for Routine Identification of Yeast , 2011, Journal of Clinical Microbiology.

[28]  P. Murray,et al.  Evaluation of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Clinically Important Yeast Species , 2010, Journal of Clinical Microbiology.

[29]  C. Liao,et al.  Rapid identification of fungal pathogens in positive blood cultures using oligonucleotide array hybridization. , 2010, Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases.

[30]  D. Denning,et al.  Excess mortality, length of stay and cost attributable to candidaemia. , 2009, The Journal of infection.

[31]  A. Hoerauf,et al.  Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Fast and Reliable Identification of Clinical Yeast Isolates , 2009, Journal of Clinical Microbiology.

[32]  S. Lockhart,et al.  Lodderomyces elongisporus Masquerading as Candida parapsilosis as a Cause of Bloodstream Infections , 2007, Journal of Clinical Microbiology.

[33]  Hsien-Chang Chang,et al.  Identification of Medically Important Candida and Non-Candida Yeast Species by an Oligonucleotide Array , 2007, Journal of Clinical Microbiology.

[34]  K. Garey,et al.  Time to initiation of fluconazole therapy impacts mortality in patients with candidemia: a multi-institutional study. , 2006, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[35]  R. Barton,et al.  Identification of Medically Important Molds by an Oligonucleotide Array , 2005, Journal of Clinical Microbiology.

[36]  Lee H. Harrison,et al.  Incidence of Bloodstream Infections Due to Candida Species and In Vitro Susceptibilities of Isolates Collected from 1998 to 2000 in a Population-Based Active Surveillance Program , 2004, Journal of Clinical Microbiology.

[37]  C. Kurtzman,et al.  Identification of clinically important ascomycetous yeasts based on nucleotide divergence in the 5' end of the large-subunit (26S) ribosomal DNA gene , 1997, Journal of clinical microbiology.

[38]  T. White.  Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics , 1990 .