Title of article
Use of cost effective and rapid molecular tools for identification of Candida species, opportunistic pathogens
Author/Authors
Rezazadeh, E Department of Microbiology - Karaj Branch, Islamic Azad University, Karaj, Iran , Moazeni, M Invasive Fungi Research Center - School of Medicine - Mazandaran University of Medical Sciences, Sari, Iran , Sabokbar, A Department of Microbiology - Karaj Branch, Islamic Azad University, Karaj, Iran
Pages
4
From page
1
To page
4
Abstract
Background and Purpose: Candidiasis is a widespread fungal infection caused by different Candida species. Rapid
identification of Candida species in clinical laboratory is becoming increasingly important since the identification and
discrimination of ethological agents for early treatment. We aimed at molecular identification of commonly Candida
species isolated from clinical samples by using both PCR-RFLP assay and amplification of hwp1 gene.
Materials and Methods: Clinical samples comprising of vaginal specimens, cutaneous, sputum, bronchoalveolar lavage (BAL (, and blood cultures were recovered from suspected patients. Candida isolates were initially identified phenotypically and confirmed by molecular approaches based on restriction fragment length polymorphism (PCR-
RFLP( with MspI restriction enzyme. Amplification of hwp1 gene was performed for discrimination of C. albicans
from C. dubliniensis and C. africana.
Results: The most abundant species were C. albicans (n=67; 44.6 %), C. glabrata (n=10; 20 %), C. tropicalis (n=20; 13.3 %), C. krusei (n=12; 8 %), C. parapsilosis (n=11; 7.3 %). Out of 67 C. albicans species, 6 species identified
as C. dubliniensis and 4 species identified as C. africana .
Conclusion: High frequency of non-albicans Candida species and differences in levels of susceptibility to the antifungal
agents are important issues in medicine. Therefore, to manage the Candida-related infections properly, molecular
diagnostic methods would be fast, reliable and even cost-effective approaches for identification of Candida species.
Keywords
PCR-RFLP , hwp1 , Candida species , Candidiasis
Journal title
Astroparticle Physics
Serial Year
2016
Record number
2476291
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