Literature DB >> 20457432

Comparison of phenotypic methods for the identification of Candida dubliniensis.

Julia Pasligh1, Clarissa Radecke, Michael Fleischhacker, Markus Ruhnke.   

Abstract

BACKGROUND/
PURPOSE: Mixed infections caused by different Candida species are the rule rather than the exception. The discrimination between the two closely related species Candida albicans and Candida dubliniensis is not trivial. Therefore, there is a need for fast, reliable, and inexpensive methods with high specificity for the identification and differentiation of these two Candida species, which are frequently detected in the oral cavities of patients with a human immunodeficiency virus infection.
METHODS: We applied several phenotypic identification methods (growth on Rice-agar, Bird-seed agar, CHROMagar Candida, API ID 32C; growth at 42 degrees C and 45 degrees C) and compared them with genotyping by arbitrarily primed-polymerase chain reaction.
RESULTS: A sensitivity of 44% for the identification of C. dubliniensis was achieved for growth on Rice-agar, 97% for discrimination on Bird-seed agar, 95% with the assimilation profile index API ID 32C, and 97% when grown at 45 degrees C. We found two API codes not described for C. dubliniensis so far. Additionally, 88% of our C. dubliniensis isolates assimilated palatinose, in contrast to the 1% described in the API reference manual.
CONCLUSION: According to our results, cultivation of Candida isolates on Bird-seed agar after screening on CHROMagar Candida is a very sensitive, simple, and cost-effective method for discriminating C. dubliniensis from C. albicans in routine practice. Copyright 2010 Taiwan Society of Microbiology. Published by Elsevier B.V. All rights reserved.

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Mesh:

Year:  2010        PMID: 20457432     DOI: 10.1016/S1684-1182(10)60023-0

Source DB:  PubMed          Journal:  J Microbiol Immunol Infect        ISSN: 1684-1182            Impact factor:   4.399


  5 in total

1.  Methods of Candida dubliniensis identification and its occurrence in human clinical material.

Authors:  Martina Mahelová; Filip Růžička
Journal:  Folia Microbiol (Praha)       Date:  2017-05-17       Impact factor: 2.099

2.  Comparison of duplex PCR and phenotypic analysis in differentiating Candida dubliniensis from Candida albicans from oral samples.

Authors:  Asanga Sampath; Manjula Weerasekera; Ayomi Dilhari; Chinthika Gunasekara; Uditha Bulugahapitiya; Neluka Fernando; Lakshman Samaranayake
Journal:  AMB Express       Date:  2017-06-27       Impact factor: 3.298

3.  Phenotypic and genotypic detection of Candida albicans and Candida dubliniensis strains isolated from oral mucosa of AIDS pediatric patients.

Authors:  Harisson Oliveira Livério; Luciana da Silva Ruiz; Roseli Santos de Freitas; Angela Nishikaku; Ana Clara de Souza; Claudete Rodrigues Paula; Carina Domaneschi
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2017-04-13       Impact factor: 1.846

4.  Dynamic time warping assessment of high-resolution melt curves provides a robust metric for fungal identification.

Authors:  Sha Lu; Gordana Mirchevska; Sayali S Phatak; Dongmei Li; Janos Luka; Richard A Calderone; William A Fonzi
Journal:  PLoS One       Date:  2017-03-06       Impact factor: 3.240

5.  Performance comparison of phenotypic and molecular methods for detection and differentiation of Candida albicans and Candida dubliniensis.

Authors:  Suhail Ahmad; Ziauddin Khan; Mohammad Asadzadeh; Ajmal Theyyathel; Rachel Chandy
Journal:  BMC Infect Dis       Date:  2012-09-25       Impact factor: 3.090

  5 in total

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