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Characterising atypical Candida albicans clinical isolates from six third-level hospitals in Bogotá, Colombia

Overview of attention for article published in BMC Microbiology, October 2015
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Title
Characterising atypical Candida albicans clinical isolates from six third-level hospitals in Bogotá, Colombia
Published in
BMC Microbiology, October 2015
DOI 10.1186/s12866-015-0535-0
Pubmed ID
Authors

Giovanni Rodríguez-Leguizamón, Alessandro Fiori, Luisa F. López, Beatriz L. Gómez, Claudia M. Parra-Giraldo, Arley Gómez-López, Carlos F. Suárez, Andrés Ceballos, Patrick Van Dijck, Manuel A. Patarroyo

Abstract

Candida species are the most frequently found fungal pathogens causing nosocomial disease in a hospital setting. Such species must be correctly identified to ensure that appropriate control measures are taken and that suitable treatment is given for each species. Candida albicans is causing most fungal disease burden worldwide; the challenge lies in differentiating it from emerging atypical, minor and related species such as Candida dubliniensis and Candida africana. The purpose of this study was to compare identification based on MALDI-TOF MS to standard identification systems using a set of nosocomial isolates. Eleven nosocomial samples were collected from 6 third-level hospitals in Bogotá, Colombia. All the samples were identified by combining MALDI-TOF MS with morphological characters, carbohydrate assimilation and molecular markers (D1/D2 and HWP1). The present work describes the first collection of atypical Colombian Candida clinical isolates; these were identified as Candida albicans/Candida africana by their MALDI-TOF MS profile. Phenotypical characteristics showed that they were unable to produce chlamydospores, assimilate trehalose, glucosamine, N- acetyl-glucosamine and barely grew at 42 °C, as would be expected for Candida africana. The molecular identification of the D1/D2 region of large subunit ribosomal RNA and HWP1 hyphal cell wall protein 1 sequences from these isolates was consistent with those for Candida albicans. The mass spectra obtained by MALDI-TOF MS were analysed by multi-dimensional scaling (MDS) and cluster analysis, differences being revealed between Candida albicans, Candida africana, Candida dubliniensis reference spectra and two clinical isolate groups which clustered according to the clinical setting, one of them being clearly related to C. albicans. This study highlights the importance of using MALDI-TOF MS in combination with morphology, substrate assimilation and molecular markers for characterising Candida albicans-related and atypical C. albicans species, thereby overcoming conventional identification methods. This is the first report of hospital-obtained isolates of this type in Colombia; the approach followed might be useful for gathering knowledge regarding local epidemiology which could, in turn, have an impact on clinical management. The findings highlight the complexity of distinguishing between typical and atypical Candida albicans isolates in hospitals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Bachelor 6 13%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Librarian 3 6%
Other 13 27%
Unknown 10 21%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Agricultural and Biological Sciences 7 15%
Immunology and Microbiology 7 15%
Biochemistry, Genetics and Molecular Biology 4 8%
Veterinary Science and Veterinary Medicine 3 6%
Other 7 15%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from BMC Microbiology
#2,694
of 3,195 outputs
Outputs of similar age
#232,900
of 277,574 outputs
Outputs of similar age from BMC Microbiology
#58
of 77 outputs
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