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Rapid Detection of Candida Species in Bronchoalveolar Lavage Fluid From Patients With Pulmonary Symptoms Publisher Pubmed



Zarrinfar H1, 2 ; Kaboli S3 ; Dolatabadi S4, 5, 6 ; Mohammadi R7
Authors
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Authors Affiliations
  1. 1. Allergy Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  2. 2. Department of Medical Parasitology and Mycology, Ghaem Hospital, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  3. 3. Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita-shi, 565-0871, Osaka, Japan
  4. 4. Cellular and Molecular Research Center, Sabzevar University of Medical Sciences, Sabzevar, Iran
  5. 5. CBS-KNAW, Utrecht, Netherlands
  6. 6. Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, Netherlands
  7. 7. Department of Medical Parasitology and Mycology, School of Medicine and Infectious Diseases and Tropical Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Brazilian Journal of Microbiology Published:2016


Abstract

Candida species, especially C. albicans, are commensals on human mucosal surfaces, but are increasingly becoming one of the important invasive pathogens as seen by a rise in its prevalence in immunocompromised patients and in antibiotic consumption. Thus, an accurate identification of Candida species in patients with pulmonary symptoms can provide important information for effective treatment. A total of 75 clinical isolates of Candida species were obtained from the bronchoalveolar lavage fluid of both immunocompromised and immunocompetent patients with pulmonary symptoms. Candida cultures were identified based on nuclear ribosomal Internal Transcribed Spacer (ITS1-ITS2 rDNA) sequence analysis by polymerase chain reaction–restriction fragment length polymorphisms (PCR-RFLP).Molecular identification indicated that the isolates belonged predominantly to C. albicans (52%), followed by C. tropicalis (24%), C. glabrata (14.7%), C. krusei (5.3%), C. parapsilosis (1.3%), C. kefyr (1.3%) and C. guilliermondii (1.3%). Given the increasing complexity of disease profiles and their management regimens in diverse patients, rapid and accurate identification of Candida species can lead to timely and appropriate antifungal therapy. © 2015 Sociedade Brasileira de Microbiologia. Published by Elsevier Editora Ltda.
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