A PCR-Based Molecular Detection of Strongyloides stercoralis in Human Stool Samples from Tabriz City, Iran

(2017) A PCR-Based Molecular Detection of Strongyloides stercoralis in Human Stool Samples from Tabriz City, Iran. Scientia Pharmaceutica. ISSN 0036-8709

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Abstract

Strongyloides stercoralis is a nematode causing serious infections in immunocompromised patients. In chronically infected patients, the low parasitic content as well as the resemblance of the larvae to several other species make diagnosis basedonmorphology difficult. In the present study, a PCR-based method targeting the internal transcribed sequence 2 (ITS2) of the rDNA region was examined for the molecular detection of S. stercoralis infection from the stool samples. A total of 1800 patients were included. Three fresh stool samples were collected per patient, and S. stercoralis isolates were identified by the morphological method. A subset of isolates was later used in the PCR-based method as positive controls. Additionally, negative and no-template controls were included. Data analysis was accomplished using an x(2) test. Ap-value less than 0.05 was considered significant. In total, fivestool samples were found to be infected with S. stercoralis using the morphology method. PCR method detected S. stercoralis DNA target from all of the fiveDNA samples extracted from positive fecal samples. Conclusions: The PCR method used for amplifying a short fragment was successful for diagnosis of S. stercoralis in fecal samples and can be reliable for directly detecting the parasite bypassing morphological method.

Item Type: Article
Keywords: strongyloides stercoralis molecular detection pcr hepatocellular-carcinoma infection diagnosis hyperinfection identification patient
Divisions: Faculty of Medicine > Department of Basic Science > Department of Molecular Medicine and Genetics
Journal or Publication Title: Scientia Pharmaceutica
Journal Index: ISI
Volume: 85
Number: 2
Identification Number: Unsp 17 10.3390/Scipharm85020017
ISSN: 0036-8709
Depositing User: مهندس مهدی شریفی
URI: http://eprints.mui.ac.ir/id/eprint/486

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