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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/53569
Title: Protein A/G-based enzyme-linked immunosorbent assay for detection of anti-Pythium insidiosum antibodies in human and animal subjects
Authors: Chalisa Jaturapaktrarak
Penpan Payattikul
Tassanee Lohnoo
Yothin Kumsang
Aree Laikul
Watcharapol Pathomsakulwong
Chompoonek Yurayart
Walaiporn Tonpitak
Theerapong Krajaejun
Kasetsart University, Kamphaeng Saen Campus
Kasetsart University
Faculty of Medicine, Ramathibodi Hospital, Mahidol University
Mahidol University
Mahanakorn University of Technology
Keywords: Biochemistry, Genetics and Molecular Biology
Issue Date: 6-Mar-2020
Citation: BMC Research Notes. Vol.13, No.1 (2020)
Abstract: © 2020 The Author(s). Objectives: Pythiosis is a deadly infectious disease caused by Pythium insidiosum. Reports of both human and animal pythiosis are on the rise worldwide. Prognosis of the pythiosis patients relies on early diagnosis and prompt treatment. There are needs for an immunodiagnostic test that can detect the disease in both humans and animals. This study aims at reporting an optimized protocol for the development of a protein A/G-based enzyme-linked immunosorbent assay (ELISA) for the detection of anti-P. insidiosum antibody in multiple host species. Results: A total of 25 pythiosis and 50 control sera, obtained from humans, horses, dogs, cats, and cows, were recruited for the assay development. With a proper ELISA cutoff point, all pythiosis sera can ultimately be distinguished from the control sera. The successfully-developed protein A/G-based ELISA can detect the anti-P. insidiosum antibodies in serum samples of both humans and animals. It is a versatile, feasible-to-develop, and functional immunodiagnostic assay for pythiosis.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/53569
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081202619&origin=inward
ISSN: 17560500
Appears in Collections:Scopus 2020

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