ArticleJournal of clinical microbiology2000
Differentiation between Candida dubliniensis and Candida albicans by fatty acid methyl ester analysis using gas-liquid chromatography.
Article in Journal of clinical microbiology, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Fatty Acid Profiling Identification Method of Emerging Fungal PathogenJournal of fungi (Basel, Switzerland) · 2026Article
- A roadmap to chemically reactive species: how diverse oxidants affectMicrobiology and molecular biology reviews : MMBR · 2025Review
- Candida albicans pathways that protect against organic peroxides and lipid peroxidation.PLoS genetics · 2024Article
- Exploring the Biology, Virulence, and General Aspects ofInfection and drug resistance · 2024Review
- Plasma Membrane MCC/Eisosome Domains Promote Stress Resistance in Fungi.Microbiology and molecular biology reviews : MMBR · 2020Review
- Isolation and Characterization of the Stress-TolerantFrontiers in bioengineering and biotechnology · 2019Article
- Plasma membrane architecture protects Candida albicans from killing by copper.PLoS genetics · 2019Article
- Flavodoxin-Like Proteins Protect Candida albicans from Oxidative Stress and Promote Virulence.PLoS pathogens · 2015Article
- Candida dubliniensis: epidemiology and phenotypic methods for identification.Mycopathologia · 2010Review
- Matrix-assisted laser desorption ionization-time of flight mass spectrometry for fast and reliable identification of clinical yeast isolates.Journal of clinical microbiology · 2009Article
- Differentiation of Candida albicans and Candida dubliniensis by fluorescent in situ hybridization with peptide nucleic acid probes.Journal of clinical microbiology · 2001Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Candida dubliniensis is often found in mixed culture with C. albicans, but its recognition is hampered as the color of its colonies in primary culture on CHROMagar Candida varies. Furthermore, definite identification of C. dubliniensis is difficult to achieve, time-consuming, and expensive. Therefore, a method to discriminate between these two closely related yeast species by fatty acid methyl ester (FAME) analysis using gas-liquid chromatography (Sherlock Microbial Identification System [MIS]; MIDI, Inc., Newark, Del.) was developed. Although the chromatograms of these two species revealed no obvious differences when applying FAME analysis, a new library (CADLIB) was successfully created using Sherlock Library Generation Software (MIDI). The amount and frequency of FAME was analyzed using library training files (n = 10 for each species), preferentially those comprising reference strains. For testing the performance of the CADLIB, clinical isolates genetically assigned to the respective species (C. albicans, n = 32; C. dubliniensis, n = 28) were chromatographically analyzed. For each isolate tested, MIS computed a similarity index (SI) indicating a hierarchy of possible strain fits. When using the newly created library CADLIB, the SIs for C. albicans and C. dubliniensis ranged from 0.11 to 0.96 and 0.53 to 0. 93 (for all but one), respectively. Only three isolates of C. albicans (9.4%) were misidentified as C. dubliniensis, whereas all isolates of C. dubliniensis were correctly identified. Resulting differentiation accuracy was 90.6% for C. albicans and 100% for C. dubliniensis. Cluster analysis and principal component analysis of the resulting FAME profiles showed two clearly distinguishable clusters matching up with two assigned species for the strains tested. Thus, the created library proved to be well suited to discriminate between these two species.
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