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A Rapid and Automated Sample-to-Result Candida auris Real-Time PCR Assay for High-Throughput Testing of Surveillance Samples with the BD Max Open System.

ABSTRACT: The multidrug-resistant yeast pathogen Candida auris continues to cause outbreaks and clusters of clinical cases worldwide. Previously, we developed a real-time PCR assay for the detection of C. auris from surveillance samples (L. Leach, Y. Zhu, and S. Chaturvedi, J Clin Microbiol 56:e01223-17, 2018, https://doi.org/10.1128/JCM.01223-17). The assay played a crucial role in the ongoing investigations of the C. auris outbreak in New York City. To ease the implementation of the assay in other laboratories, we developed an automated sample-to-result real-time C. auris PCR assay using the BD Max open system. We optimized sample extraction at three different temperatures and four incubation periods. Sensitivity was determined using eight pools of patient samples, and specificity was calculated using four clades of C. auris and closely and distantly related yeasts. Three independent extractions and testing of two patient sample pools in quadruplicate yielded assay precision. BD Max optimum assay conditions were as follows: DNA extraction at 75°C for 20 min and the use of PerfeCTa multiplex quantitative PCR (qPCR) ToughMix. The limit of detection (LOD) of the assay was one C. auris CFU/PCR. We detected all four clades of C. auris without cross-reactivity to other yeasts. Of the 110 patient surveillance samples tested, 50 were positive for C. auris using the BD Max system with 96% clinical sensitivity and 94% accuracy compared to the results of the manual assay. The BD Max assay allows high-throughput C. auris screening of 180 surveillance samples in a 12-h workday.

SUBMITTER: Leach L

PROVIDER: S-EPMC6760950 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Candida auris, a multidrug-resistant human fungal pathogen that causes outbreaks of invasive infections, emerged as four distinct geographical clades. Previous studies identified genomic and proteomic differences in nutrient utilization on comparison to Candida albicans, suggesting that certain metabolic features may contribute to C. auris emergence. Since no high-throughput clade-specific metabolic characterization has been described yet, we performed a phenotypic screening of C. auris strains from all 4 clades on 664 nutrients, 120 chemicals, and 24 stressors. We identified common and clade- or strain-specific responses, including the preferred utilization of various dipeptides as nitrogen source and the inability of the clade II isolate AR 0381 to withstand chemical stress. Further analysis of the metabolic properties of C. auris isolates showed robust growth on intermediates of the tricarboxylic acid cycle, such as citrate and succinic and malic acids. However, there was reduced or no growth on pyruvate, lactic acid, or acetate, likely due to the lack of the monocarboxylic acid transporter Jen1, which is conserved in most pathogenic Candida species. Comparison of C. auris and C. albicans transcriptomes of cells grown on alternative carbon sources and dipeptides as a nitrogen source revealed common as well as species-unique responses. C. auris induced a significant number of genes with no ortholog in C. albicans, e.g., genes similar to the nicotinic acid transporter TNA1 (alternative carbon sources) and to the oligopeptide transporter (OPT) family (dipeptides). Thus, C. auris possesses unique metabolic features which could have contributed to its emergence as a pathogen. IMPORTANCE Four main clades of the emerging, multidrug-resistant human pathogen Candida auris have been identified, and they differ in their susceptibilities to antifungals and disinfectants. Moreover, clade- and strain-specific metabolic differences have been identified, but a comprehensive overview of nutritional characteristics and resistance to various stressors is missing. Here, we performed high-throughput phenotypic characterization of C. auris on various nutrients, stressors, and chemicals and obtained transcriptomes of cells grown on selected nutrients. The generated data sets identified multiple clade- and strain-specific phenotypes and induction of C. auris-specific metabolic genes, showing unique metabolic properties. The presented work provides a large amount of information for further investigations that could explain the role of metabolism in emergence and pathogenicity of this multidrug-resistant fungus.

Dataset Information

A Rapid and Automated Sample-to-Result Candida auris Real-Time PCR Assay for High-Throughput Testing of Surveillance Samples with the BD Max Open System.

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