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Identification of Candida Species Isolated From Candiduria Patients Using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism in Isfahan, Iran



Bahmaei M1 ; Dehghan P2 ; Mohammadi R2 ; Chabavizadeh J2 ; Mahaki B3
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Authors Affiliations
  1. 1. Department of Mycology and Parasitology, School of Medicine AND Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Mycology and Parasitology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Department of Biostatistics, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Journal of Isfahan Medical School Published:2016

Abstract

Background: Disseminated candidiasis, diabetes mellitus, pregnancy, and consumption of widespread antibiotics are predisposing factors of urinary tract infections due to Candida species. The prevalence of nonalbicans species is increasing. The aim of the present study is to identify Candida spp. isolated from candiduria patients in Isfahan, Iran using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Methods: The genomic DNA was extracted by fast technology for analysis-card (FTA-card). Polymerase chain reaction (PCR) was used to amplify ITS1-5.8s-ITS2 region then PCR products were digested with MspI restriction enzyme. PCR and RFLP products were revealed on 1.5 and 2% agarose gel electrophoresis, respectively. Findings: Out of 3200 urine samples 80 samples with more than 104 CFU/ml were involved in this study. Patients including 4 (5%) were males and 76 patients (95%) were females. Predisposing factors were diabetes (47.5%), urinary tract infection (38.8%) and kidney stone (5.0%). The colony count of 46.3% of the urine samples were with 50×103-99×103 CFU/ml. Candida glabrata was the most prevalent species among isolates (41.3%). Conclusion: Increasing of non-albicans Candida species and drug resistance of isolates are main challenges of Candida infection treatment particularly in patients with diabetes and urinary infections. Identification of Candida species is inevitable for better management of infection. © 2016, Isfahan University of Medical Sciences(IUMS). All rights reserved.
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