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Future Microbiol. 2019 Jan;14:33-45. doi: 10.2217/fmb-2018-0227. Epub 2018 Dec 12.

Novel multiplex real-time quantitative PCR detecting system approach for direct detection of Candida auris and its relatives in spiked serum samples.

Author information

1
Westerdijk Fungal Biodiversity Institute, Utrecht 3584, The Netherlands.
2
Department of Dermatology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, PR China.
3
Shanghai Key Laboratory of Molecular Medical Mycology, Shanghai Institute of Mycology, Shanghai Changzheng Hospital, Second Military Medical University, Shanghai 200003, PR China.
4
Center of Expertise in Mycology Radboud University Medical Center, Canisius Wilhelmina Hospital, Nijmegen 6500HB, The Netherlands.
5
Ministry of Health, Directorate General of Health Services, PO Box 393, 100 Muscat, Oman.
6
Department of Microbiology, Faculty of Medicine, Kuwait University, Safat, Kuwait.
7
Division of Hygiene & Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria.
8
Institute of Biodiversity & Ecosystem Dynamics, University of Amsterdam, Amsterdam 1012 WX, The Netherlands.

Abstract

The multidrug-resistant opportunistic yeast species of Candida auris, Candida haemulonii, Candida duobushaemulonii and Candida pseudohaemulonii continue to endanger the healthcare settings around the globe. Due to the lack of a specific qPCR assay for detection of these species from clinical samples, we developed a multiplex qPCR assay. Analytical specificity and sensitivity showed 100% specificity and the sensitivity of up to ten genomes of target species with a high value of reproducibility (R2 >0.99). Subsequently, from spiked serum samples, our qPCR specifically could detect up to ten genomes of C. auris and one genome of C. haemulonii, C. duobushaemulonii and C. pseudohaemulonii (R2 >0.98). Lack of cross reaction with the human DNA, a high degree of specificity and sensitivity, showed the potential of our multiplex PCR for direct detection of C. auris and closely related species from serum samples of suspected patients. Future studies are warranted to assure its applicability in clinical settings.

KEYWORDS:

; bloodstream infection; melting curve analysis; qPCR

PMID:
30539665
DOI:
10.2217/fmb-2018-0227
[Indexed for MEDLINE]
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