Use of restriction fragment length polymorphism to identify Candida species, related to onychomycosis

(2015) Use of restriction fragment length polymorphism to identify Candida species, related to onychomycosis. Advanced biomedical research. p. 95. ISSN 2277-9175 (Print) 2277-9175 (Linking)

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Abstract

BACKGROUND: Onychomycosis is one of the most common clinical forms of fungal infections due to both filamentous fungi and yeasts. The genus of Candida is one of the most prominent causes of onychomycosis in all around the world. Although Candida albicans is still the most frequent cause of nail infections, use of broad-spectrum antifungal agents has led to a shift in the etiology of C. albicans to non-albicans species. The aim of the present study is rapid and precise identification of candida species isolated from nail infection by using of PCR-RFLP technique. MATERIALS AND METHODS: A total of 360 clinical yeast strains were collected from nail infections in Iran. Genomic DNA was extracted using FTA(;) cards. ITS1-5.8SrDNA-ITS2 region was amplified using universal primers and subsequently products were digested with the restriction enzyme MspI. For identification of newly described species (C. parapsilosis complex), the SADH gene was amplified, followed by digestion with Nla III restriction enzyme. RESULTS: Candida albicans was the most commonly isolated species (41.1), followed by C. parapsilosis (21.4), C. tropicalis (12.8), C. kefyr (9.4), C. krusei (5.5), C. orthopsilosis (4.1), C. glabrata (2.8), C. guilliermondii (1.4), C. rugosa (0.8), and C. lusitaniae (0.5). Patients in the age groups of 51-60 and 81-90 years had the highest and lowest distribution of positive specimens, respectively. CONCLUSION: Rapid and precise identification of Candida species from clinical specimens lead to appropriate therapeutic plans.

Item Type: Article
Keywords: Candida species Pcr-rflp onychomycosis
Page Range: p. 95
Journal or Publication Title: Advanced biomedical research
Journal Index: Pubmed
Volume: 4
Identification Number: https://doi.org/10.4103/2277-9175.156659
ISSN: 2277-9175 (Print) 2277-9175 (Linking)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/5738

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