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J Clin Microbiol ; 56(1)2018 01.
Artigo em Inglês | MEDLINE | ID: mdl-29046411

RESUMO

Fungal bloodstream infections are a significant problem in the United States, with an attributable mortality rate of up to 40%. An early diagnosis to direct appropriate therapy has been shown to be critical to reduce mortality rates. Conventional phenotypic methods for fungal detection take several days, which is often too late to impact outcomes. Herein, we describe a cost-effective multiplex assay platform for the rapid detection and differentiation of major clinically relevant Candida species directly from blood culture. This approach utilizes a novel biotin-labeled polymer-mediated signal amplification process combined with targeting rRNA to exploit phylogenetic differences for sensitive and unambiguous species identification; this assay detects seven pathogenic Candida species (C. albicans, C. glabrata, C. parapsilosis, C. tropicalis, C. krusei, C. lusitaniae, and C. guilliermondii) simultaneously with very high specificity to the species level in less than 80 min with the limits of detection at 1 × 103 to 10 × 103 CFU/ml or as few as 50 CFU per assay. The performance of the described assay was verified with 67 clinical samples (including mixed multiple-species infections as well), with an overall 100% agreement with matrix-assisted laser desorption ionization (MALDI) mass spectrometry-based reference results. By providing a species identity rapidly, the clinician is aided with information that may direct appropriate therapy sooner and more accurately than current approaches, including PCR-based tests.


Assuntos
Candida/classificação , Candida/isolamento & purificação , Candidemia/microbiologia , Técnicas de Diagnóstico Molecular/métodos , Técnicas de Amplificação de Ácido Nucleico , Biotina/química , Candida/genética , Candidemia/sangue , Candidemia/diagnóstico , DNA Fúngico/genética , Humanos , Técnicas de Diagnóstico Molecular/normas , RNA Ribossômico 28S/genética , Reprodutibilidade dos Testes , Sensibilidade e Especificidade , Fatores de Tempo
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