Evaluation of the New Micronaut-
            <i>Candida</i>
            System Compared to the API ID32C Method for Yeast Identification

Szabó, Zsuzsanna; Töth, Beáta; Kovacs, Mark S.; Kardos, Gábor; Maráz, Anna; Rozgonyi, Ferenc; Majoros, László

doi:10.1128/jcm.02350-07

Cited by 20 publications

(15 citation statements)

References 13 publications

(14 reference statements)

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“…Conventional identification methods often require several phenotypic and biochemical assays, which are time-consuming and still insufficient for precise discrimination of some species (28,29,42,47). On the other hand, molecular methods are rapid and highly discriminative identification tools, yet they are often expensive and may require skilled technicians (15,22,44).…”

Section: Discussionmentioning

confidence: 99%

“…Thus, echinocandins would be an excellent choice for C. palmioleophila but less so for C. guilliermondii (21). C. lusitaniae is important to identify correctly because it is often misidentified (14,42), but it should be regarded as a poor target for amphotericin B despite being classified as susceptible based on MIC determinations (5). Overall, compared to species complexes such as the C. parapsilosis complex or the C. glabrata complex, accurate identification within the C. guilliermondii/C.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Candida palmioleophila: Characterization of a Previously Overlooked Pathogen and Its Unique Susceptibility Profile in Comparison with Five Related Species

Jensen

Arendrup

2011

J Clin Microbiol

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Candida palmioleophila has previously been misidentified as C. famata or C. guilliermondii. We have investigated traditional and modern identification methods for the identification of this and related species. Forty-one clinical isolates previously identified as C. famata or C. guilliermondii and 8 reference strains were included. Color development on CHROMagar, growth temperature ranges, micromorphologies, carbon assimilation (ID32C), matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) profiles, and susceptibility profiles (mica-and anidulafungin and itra-, vori-, posa-, and fluconazole MICs were determined by EUCAST method EDef 7.1, and caspofungin MICs were determined by Etest) were determined, and results were compared to those of molecular identification (ITS1 and ITS2 sequencing). The following five different species were identified among the clinical isolates by sequencing, but no C. famata isolates were found: C. guilliermondii (22 isolates), C. palmioleophila (8 isolates), C. fermentati (6 isolates), C. lusitaniae (3 isolates), and C. intermedia (2 isolates). C. palmioleophila developed a distinct scintillating color of turquoise to rose, grew at 40°C, and failed to produce pseudohyphae within 14 days. The ID32C profile for 7/9 C. palmioleophila isolates was 5367352315, and all were unable to hydrolyze esculin (Esc). The six related species were well discriminated by MALDI-TOF MS. The susceptibility pattern for C. palmioleophila was unique, as the echinocandin MICs were low (range, 0.008 to 0.125 g/ml) and fluconazole MICs were high (range, 8 to >16 g/ml). Correct identification of C. palmioleophila is important due to its unique susceptibility profile. Identification is possible yet laborious with conventional techniques, whereas MALDI-TOF MS easily separated the related species.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Candida palmioleophila: Characterization of a Previously Overlooked Pathogen and Its Unique Susceptibility Profile in Comparison with Five Related Species

Jensen

Arendrup

2011

J Clin Microbiol

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“…Pincus et al. [20] obtained an overall identification accuracy of 97% and this level of accuracy has been confirmed 43 and exceeded, 45 however in another study of 53 C. dubliniensis isolates, this system could only identify 3.7% correctly, due to the high frequencies of assimilation of XYL (58%), LAT (87%) and MDG (55%) 46 . Candida dubliniensis isolates, able to assimilate XYL using this system, were also detected in another study, leading to incorrect identification 19…”

Section: Phenotypic Characteristics For Differentiationmentioning

confidence: 92%

“…Szabó et al. [45] studied 40 C. albicans and 9 C. dubliniensis isolates and used this system to correctly identify all these isolates, however larger isolate collections will provide a better understanding of the accuracy of this system.…”

Section: Phenotypic Characteristics For Differentiationmentioning

confidence: 99%

Candida albicans or Candida dubliniensis?

Ells

Kock

Pohl

2010

Mycoses

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Candida albicans is increasing as an opportunistic pathogen causing candidemia and candidiasis worldwide. In addition, other non-albicans Candida species are now also associated with pertinent infections. These include the closely related C. dubliniensis, which shares many phenotypic similarities with C. albicans. These similarities pose problems in the identification of isolates and have previously led to misidentification of these species. As a result, several identification techniques based on phenotypic and genotypic characteristics have been developed to differentiate between these Candida species. This review will focus on the similarities and differences between these two Candida species highlighting different identification methods and their advantages and disadvantages.

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“…2000) or bronchoalveolar lavage fluid (Eriksson et al. 1996), API ID32C biochemical test or Micronaut Candida system test (Szabo et al. 2008), detection of surface proteins (e.g.…”

Section: Introductionmentioning

confidence: 99%

A real-time PCR assay for the differentiation of Candida species

Stephan

Fricke²,

Schimmelpfennig

et al. 2010

Journal of Applied Microbiology

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Aims: We established a real-time PCR assay for the detection and strain identification of Candida species and demonstrated the ability to differentiate between Candida albicans the most common species, and also Candida parapsilosis, Candida glabrata, Candida tropicalis and Candida dubliniensis by LightCycler PCR and melting curve analysis. Methods and Results: The DNA isolation from cultures and serum was established using the QIAmp Tissue Kit. The sensitivity of the assay was >/= 2 genome equivalents/assay. It was possible to differentiate all investigated Candida species by melting curve analysis, and no cross-reaction to human DNA or Aspergillus species could be observed. Conclusions: The established real-time PCR assay is a useful tool for the rapid identification of Candida species and a base technology for more complex PCR assays. Significance and Impact of the Study: We carried out initial steps in validation of a PCR assay for the detection and differentiation of medically relevant Candida species. The PCR was improved by generating PCR standards, additional generation of melting curves for species identification and the possibility to investigate different specimens simultaneously

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Evaluation of the New Micronaut- Candida System Compared to the API ID32C Method for Yeast Identification

Cited by 20 publications

References 13 publications

Candida palmioleophila: Characterization of a Previously Overlooked Pathogen and Its Unique Susceptibility Profile in Comparison with Five Related Species

Candida palmioleophila: Characterization of a Previously Overlooked Pathogen and Its Unique Susceptibility Profile in Comparison with Five Related Species

Candida albicans or Candida dubliniensis?

A real-time PCR assay for the differentiation of Candida species

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