Repository of Research and Investigative Information

Repository of Research and Investigative Information

Zabol University of Medical Sciences

Serological and molecular diagnosis of Toxoplasma gondii in patients with schizophrenia

(2018) Serological and molecular diagnosis of Toxoplasma gondii in patients with schizophrenia. Journal of Parasitic Diseases. pp. 1-5. ISSN 09717196 (ISSN)

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Schizophrenia is a persistent neuropsychiatric syndrome of uncertain source. Toxoplasmosis is the most prevalent parasitic protozoan infecting one-third of the worldwide human population. Infectious agents such as toxoplasma are the probable cause of schizophrenia. This study was aimed to evaluate the association between schizophrenia and toxoplasmosis using SAG1 and B1 Target gene. During February to December 2016, 92 patients with schizophrenia are imported in our study. All cases were assessed by serological (IgG and IgM antibodies) and molecular examinations. ELISA was performed by Commercial kits according to manufactures procedure. DNA was extracted and nested PCR was done using two pairs of primers. From 92 patients, 59 (64.13) cases were positive for toxoplasmosis by serological examinations (14 samples positive for IgM and IgG, 40 samples positive for only IgG and 5 samples Positive for only IgM) and 58 (63.04) were positive by Nested PCR technique. Based on the nested PCR method, 68.47 and 47.82 of samples were positive by B1 and SAG1 genes, respectively. Our results showed the importance of use both serological and molecular diagnostic methods for accurate recognition of T. gondii in patients with schizophrenia. Moreover our results indicated that B1 gene is more sensitive than SAG1 gene. © 2018 Indian Society for Parasitology

Item Type: Article
Keywords: ELISA Iran Nested PCR Schizophrenia Toxoplasmosis
Divisions:
Page Range: pp. 1-5
Journal or Publication Title: Journal of Parasitic Diseases
Identification Number: 10.1007/s12639-018-0979-x
ISSN: 09717196 (ISSN)
Depositing User: مهندس مهدی شریفی
URI: http://eprints.zbmu.ac.ir/id/eprint/2980

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