کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
200740 1424349 2015 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
PCR-RFLP as a useful tool for diagnosis of invasive mycoses in a healthcare facility in the North of Brazil
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
پیش نمایش صفحه اول مقاله
PCR-RFLP as a useful tool for diagnosis of invasive mycoses in a healthcare facility in the North of Brazil
چکیده انگلیسی

BackgroundThe incidence of invasive mycoses is increasing worldwide. PCR-RFLP was applied to the identification of 10 reference strains and 90 cultures of agents of invasive mycoses. In addition, the new approach was applied to detect fungal agents in 120 biological samples (blood, cerebrospinal fluid and bone marrow). PCR-RFLP results were compared with the ones obtained with conventional methods (culture, microscopy, and biochemical testing).ResultsThe assays carried out with the reference strains (Candida albicans, Candida parapsilosis, Candida tropicalis, Candida krusei, Candida guilliermondii, Cryptococcus neoformans, Cryptococcus gattii and Histoplasma capsulatum), demonstrated that the RFLP profiles were correctly predicted by the in silico investigation and allowed unequivocal identification of all chosen reference strains. The PCR-RFLP also identified 90 cultures of agents of invasive mycoses correctly, 2.5 times faster than the conventional assays. Evaluating PCR-RFLP with biological samples it was observed that the PCR was found to be 100% accurate and the RFLP profiles allowed the identification of the etiological agents: C. neoformans (n = 3) and C. gattii (n = 1) in CSF samples, H. capsulatum (n = 1) in bone marrow and C. albicans (n = 2) in blood cultures. The detection and identification by PCR-RFLP were found to be between two to ten times faster than the conventional assays.ConclusionThe results showed that PCR-RFLP is a valuable tool for the identification of invasive mycoses that can be implemented in hospital laboratories, allowing for a high number of clinical analyses per day.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electronic Journal of Biotechnology - Volume 18, Issue 3, May 2015, Pages 231–235
نویسندگان
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