Résumé
L’identification conventionnelle (IC) des levures est fondée sur l’utilisation des tests morphologiques, immunologiques et biochimiques (galerie API® 32 C, bioMérieux). La spectrométrie de masse MALDI-TOF (SM) a été proposée récemment comme nouvelle approche pour l’identification des microorganismes. L’objectif de notre étude était de comparer prospectivement les performances analytiques de la SM et de l’IC pour l’identification des isolats cliniques de levures. En cas de discordance d’identification, le séquençage des régions ITS de l’ADN ribosomal était utilisé comme méthode d’identification de référence. Un total de 1 207 souches a été analysé. Une concordance entre SM et IC a été observée pour 1 105 souches (91,5 %) alors que la proportion de souches différemment identifiées par IC et SM n’était que de 6,1 % (74 souches). Parmi ces 74 identifications discordantes entre SM, l’identification par biologie moléculaire confirmait l’identification obtenue par SM pour 73 isolats (6 %) et celle obtenue par IC pour 1 isolat (0,1 %). Pour les principales espèces d’intérêt médical, les concordances d’identification entre les deux techniques étaient excellentes (entre 98 et 100 %) y compris pour les espèces phylogénétiquement proches (Candida albicans/Candida dubliniensis; Candida inconspicua/Candida norvegensis; Candida parapsilosis/Candida metapsilosis/Candida orthopsilosis). La SM n’a été mise en défaut que pour 2,3 % des souches appar tenant aux espèces Candida famata, Candida lambica, Candida magnoliae et aux genres Geotrichum sp. et Trichosporon sp. Nos investigations soulignent le potentiel de la SM pour l’identification des levures et comme alternative fiable, rapide et de moindre coût par rapport aux méthodes conventionnelles.
Abstract
The conventional identification (CI) of yeasts is based on the use of the morphological, biochemical (e.g. API® 32 C system, bioMérieux) and/or immunological methods. The mass spectrometry MALDI TOF (MS) was recently proposed as a new approach for the identification of microorganisms. The objective of our study was to prospectively compare the analytical performances of the MS and CI for yeasts identification in clinical samples. Furthermore, sequencing the internal transcribed spacer (ITS) regions of the ribosomal DNA was employed as a reference method. A total of 1207 yeast isolates was analyzed. A concordance between MS and CI was observed for 1105 strains (91.5 %) while the proportion of strains mis-identified by CI and/or MS was only 6.1 % (74 strains). Within this last group, a correct identification by SM was confirmed for 73 isolates (6 %) and by IC for 1 isolates (0.1 %) using molecular tools. For the medically important yeast species, the concordance between both techniques was excellent (ranging from 98 and 100 %), including identification of the closely related species (Candida albicans/Candida dubliniensis; Candida inconspicua/Candida norvegensis; Candida parapsilosis/Candida metapsilosis/Candida orthopsilosis). Lack of identification by MS was observed only for 2.3 % of the strains belonging to Candida famata, Candida lambica, Candida magnoliae species and to Geotrichum sp. and Trichosporon sp genus. Our investigations underline the potential for MS based identification of yeasts species as a reliable, time and cost efficient alternative to conventional methods.
Références
Pfaller MA, Diekema DJ (2007) Epidemiology of invasive candidiasis: a persistent public health problem. Clin Microbiol Rev 20: 133–163
Patterson TF (2005) Advances and challenges in management of invasive mycoses. Lancet 366: 1013–1025
Espinel-Ingroff A (2003) In vitro antifungal activities of anidulafungin and micafungin, licensed agents and the investigational triazole posaconazole as determined by NCCLS methods for 12,052 fungal isolates: review of the literature. Rev Iberoam Micol 20: 121–136
Marr KA (2000) The changing spectrum of candidemia in oncology patients: therapeutic implications. Curr Opin Infect Dis 13: 615–620
Marr KA, Seidel K, White TC, Bowden RA (2000) Candidemia in allogeneic blood and marrow transplant recipients: evolution of risk factors after the adoption of prophylactic fluconazole. J Infect Dis 181: 309–316
Fujita S, Senda Y, Okusi T, et al. (2007) Catheter-related fungemia due to fluconazole-resistant Candida nivariensis. J Clin Microbiol 45: 3459–3461
Lockhart SR, Messer SA, Gherna M, et al. (2009) Identification of Candida nivariensis and Candida bracarensis in a large global collection of Candida glabrata isolates: comparison to the literature. J Clin Microbiol 47: 1216–1217
Miceli MH, Díaz JA, Lee SA (2011) Emerging opportunistic yeast infections. Lancet Infect Dis 11: 142–151
Pappas PG, Rex JH, Sobel JD, et al. (2004) Guidelines for treatment of candidiasis. Clin Infect Dis 38: 161–189
De Rosa FG, Garazzino S, Pasero D, et al. (2009) Invasive candidiasis and candidemia: new guidelines. Minerva Anestesiol 75: 453–458
Maertens J, Marchetti O, Herbrecht R, et al. (2011) European guidelines for antifungal management in leukemia and hematopoietic stem cell transplant recipients: summary of the ECIL 3—2009 update. Bone Marrow Transplant 46: 709–718
Pincus DH, Orenga S, Chatellier S (2007) Yeast identification—past, present, and future methods. Med Mycol 45: 97–121
Loïez C, Wallet F, Sendid B, Courcol RJ (2006) Evaluation of VITEK 2 colorimetric cards versus fluorimetric cards for identification of yeasts. Diagn Microbiol Infect Dis 56: 455–457
Sullivan DJ, Westerneng TJ, Haynes KA, et al. (1995) Candida dubliniensis sp. nov.: phenotypic and molecular characterization of a novel species associated with oral candidosis in HIV-infected individuals. Microbiology 141: 1507–1521
Borman AM, Petch R, Linton CJ, et al. (2008) Candida nivariensis, an emerging pathogenic fungus with multidrug resistance to antifungal agents. J Clin Microbiol 46: 933–938
Garner CD, Starr JK, McDonough PL, Altier C (2010) Molecular identification of veterinary yeast isolates by use of sequence-based analysis of the D1/D2 region of the large ribosomal subunit. J Clin Microbiol 48: 2140–2146
Leaw SN, Chang HC, Sun HF, et al. (2006) Identification of medically important yeast species by sequence analysis of the internal transcribed spacer regions. J Clin Microbiol 44: 693–699
Kurtzman CP, Robnett CJ (1997) Identification of clinically important ascomycetous yeasts based on nucleotide divergence in the 5’ end of the large-subunit (26S) ribosomal DNA gene. J Clin Microbiol 35: 1216–1223
Cornet M, Sendid B, Fradin C, et al. (2011) Molecular identification of closely related Candida species using two ribosomal intergenic spacer fingerprinting methods. J Mol Diagn 13: 12–22
Anhalt JP, Fenselau C (1975) Identification of bacteria using mass spectrometry. Analytical Chemistry 47: 219–225
Haag AM, Taylor SN, Johnston KH, Cole RB (1998) Rapid identification and speciation of Haemophilus bacteria by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. J Mass Spectrom 33: 750–756
Krishnamurthy T, Ross PL (1996) Rapid identification of bacteria by direct matrix-assisted laser desorption/ionization mass spectrometric analysis of whole cells. Rapid Commun Mass Spectrom 10: 1992–1996
Alanio A, Beretti JL, Dauphin B, et al. (2011) Matrix-assisted laser desorption ionization time-of-flight mass spectrometry for fast and accurate identification of clinically relevant Aspergillus species. Clin Microbiol Infect 17: 750–755
Bizzini A, Durussel C, Bille J, et al. (2010) Performance of matrixassisted laser desorption ionization-time of flight mass spectrometry for identification of bacterial strains routinely isolated in a clinical microbiology laboratory. J Clin Microbiol 48: 1549–1554
Marklein G, Josten M, Klanke U, et al. (2009) Matrix-assisted laser desorption ionization-time of flight mass spectrometry for fast and reliable identification of clinical yeast isolates. J Clin Microbiol 47: 2912–2917
Chen YC, Eisner JD, Kattar MM, et al. (2000) Identification of medically important yeasts using PCR-based detection of DNA sequence polymorphisms in the internal transcribed spacer 2 region of the rRNA genes. J Clin Microbiol 38: 2302–2310
Kurtzman CP, Robnett CJ, Basehoar-Powers E (2008) Phylogenetic relationships among species of Pichia, Issatchenkia and Williopsis determined from multigene sequence analysis, and the proposal of Barnettozyma gen. nov., Lindnera gen. nov. and Wickerhamomyces gen. nov. FEMS Yeast Res 8: 939–954
Stevenson LG, Drake SK, Shea YR (2010) Evaluation of matrix-assisted laser desorption ionization-time of flight mass spectrometry for identification of clinically important yeast species. J Clin Microbiol 48: 3482–3486
Kaleta EJ, Clark AE, Cherkaoui A, et al. (2011) Comparative analysis of PCR-electrospray ionization/mass spectrometry (MS) and MALDITOF/ MS for the identification of bacteria and yeast from positive blood culture bottles. Clin Chem 57: 1057–1067
Marinach-Patrice C, Fekkar A, Atanasova R, et al. (2010) Rapid species diagnosis for invasive candidiasis using mass spectrometry. PLoS One 5: e8862
Hettick JM, Green BJ, Buskirk AD, et al. (2008) Discrimination of Aspergillus isolates at the species and strain level by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry fingerprinting. Anal Biochem 380: 276–281
Theel ES, Hall L, Mandrekar J, Wengenack NL (2011) Dermatophyte Identification Using Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. J Clin Microbiol. doi:10.1128/JCM.01280-11
Kemptner J, Marchetti-Deschmann M, Mach R, et al. (2009) Evaluation of matrix-assisted laser desorption/ionization (MALDI) preparation techniques for surface characterization of intact Fusarium spores by MALDI linear timeofflight mass spectrometry. Rapid Commun Mass Spectrom 23: 877–884
Seyfarth F, Ziemer M, Sayer HG, et al. (2008) The use of ITS DNA sequence analysis and MALDI-TOF mass spectrometry in diagnosing an infection with Fusarium proliferatum. Exp Dermatol 17: 965–971
Qian J, Cutler JE, Cole RB, Cai Y (2008) MALDI-TOF mass signatures for differentiation of yeast species, strain grouping and monitoring of morphogenesis markers. Anal Bioanal Chem 392: 439–449
Putignani L, Del Chierico F, Onori M, et al. (2011) MALDI-TOF mass spectrometry proteomic phenotyping of clinically relevant fungi. Mol Biosyst 7: 620–629
Marinach C, Alanio A, Palous M, et al. (2009) MALDI-TOF MS-based drug susceptibility testing of pathogens: the example of Candida albicans and fluconazole. Proteomics 9: 4627–4631
Rogers PD, Vermitsky JP, Edlind TD, Hilliard GM (2006) Proteomic analysis of experimentally induced azole resistance in Candida glabrata. J Antimicrob Chemother 58: 434–438
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Sendid, B., Ducoroy, P., François, N. et al. Intérêt de la spectrométrie de masse MALDI-TOF pour l’identification des levures. Évaluation et utilisation en routine hospitalière à Dijon et à Lille. Bio trib. mag. 40, 37–44 (2011). https://doi.org/10.1007/s11834-011-0060-x
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DOI: https://doi.org/10.1007/s11834-011-0060-x