Evaluation of caspofungin susceptibility testing by the new Vitek 2 AST-YS06 yeast card using a unique collection of FKS wild-type and hot spot mutant isolates, including the five most common candida species.

FKS mutant isolates associated with breakthrough or failure cases are emerging in clinical settings. Discrimination of these from wild-type (wt) isolates in a routine laboratory setting is complicated. We evaluated the ability of caspofungin MIC determination using the new Vitek 2 AST-Y06 yeast susceptibility card to correctly identify the fks mutants from wt isolates and compared the performance to those of the CLSI and EUCAST reference methods. A collection of 98 Candida isolates, including 31 fks hot spot mutants, were included. Performance was evaluated using the FKS genotype as the "gold standard" and compared to those of the CLSI and EUCAST methodologies. The categorical agreement for Vitek 2 was 93.9%, compared to 88.4% for the CLSI method and 98.7% for the EUCAST method. Vitek 2 misclassified 19.4% (6/31) of the fks mutant isolates as susceptible, in contrast to <4% for each of the reference methods. The overall essential agreement between the CLSI method and Vitek 2 MICs was 92.6% (88/95) but was substantially lower for fks mutant isolates (78.6% [22/28]). Correct discrimination between susceptible and intermediate Candida glabrata isolates was not possible, as the revised species-specific susceptibility breakpoint was not included in the Vitek 2 detection range (MIC of ≤0.250 to ≥4 mg/liter). In conclusion, the Vitek 2 allowed correct categorization of all wt isolates as susceptible. However, despite an acceptable categorical agreement, it failed to reliably classify isolates harboring fks hot spot mutations as intermediate or resistant, which was in part due to the fact that the detection range did not span the susceptibility breakpoint for C. glabrata.

In vivo emergence of Aspergillus terreus with reduced azole susceptibility and a Cyp51a M217I alteration.

Azole resistance in Aspergillus terreus isolates was explored. Twenty related (MB) and 6 unrelated A. terreus isolates were included. CYP51A sequencing and RAPD genotyping was performed. Five MB isolates were itraconazole susceptible, whereas the minimum inhibitory concentrations (MICs) for 15 MB isolates were elevated (1-2 mg/L). Voriconazole and posaconazole MICs were 0.5-4 and 0.06-0.5 mg/L, respectively, for MB isolates but 0.25-0.5 and <0.03-0.06 mg/L, respectively, for controls. Sequencing identified a Cyp51Ap M217I alteration in all 15 isolates with elevated itraconazole MICs. Genotyping showed that 18 of 20 MB isolates were identical and unique, suggesting endogenous origin. In conclusion, itraconazole resistance in A. terreus was linked to an M217I Cyp51A alteration.

Molecular diagnosis of dermatophyte infections.

PURPOSE OF REVIEW: Recent advances in the molecular diagnostics of dermatophytosis may improve speed, specificities and sensitivities. This review provides an update on the current available molecular techniques for the diagnosis of dermatophytosis. RECENT FINDINGS: Molecular diagnostics of dermatophytosis relate to the direct detection of dermatophyte DNA in clinical specimens. Important challenges have been associated with the DNA extraction procedures, which despite improvement still lack consensus, and the fact that phenotypic species classification not always translates into distinct molecular taxonomic entities. Molecular methods are divided into conventional PCR, real-time PCR and post-PCR techniques. The former benefits from simplicity and being less expensive to implement, real-time PCR is less laborious, may enable a broader spectrum of simultaneous species detections and the closed system reduces contamination risk, whereas post-PCR strategies may increase the number of species identified but prolong the turnaround time, and the processing of PCR products increases the laboratory contamination risk. SUMMARY: Current molecular methods are on the verge of overcoming most of the early challenges regarding dermatophyte taxonomy, DNA extraction procedures and species specificity, and thus may lead to an increased adoption of such methods. This may point towards a novel consensus in which molecular methods supplement or even replace classical diagnosis of dermatophytosis.

Candida palmioleophila: characterization of a previously overlooked pathogen and its unique susceptibility profile in comparison with five related species.

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 µg/ml) and fluconazole MICs were high (range, 8 to >16 µg/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.