Immunodiagnostic Value of Echinococcus Granulosus Recombinant B8/1 Subunit of Antigen B

Authors

1 Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran

2 Department of Parasitology and Mycology, Shiraz University of Medical Sciences, Shiraz, Iran

3 Recombinant Proteins Laboratory, Department of Biochemistry, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Background: Cystic echinococcosis (CE), as a chronic parasitic disease, is a major health problem in many countries. The performance of the currently available serodiagnostic tests for the diagnosis of CE is unsatisfactory. Objective: The current study aimed at sub-cloning a gene, encoding the B8/1 subunit of antigen B (AgB) from Echinococcus granulosus, using gene optimization for the immunodiagnosis of human CE. Methods: The coding sequence for AgB8/1 subunit of Echinococcus granulosus was selected from GenBank and was gene-optimized. The sequence was synthesized and inserted into pGEX-4T-1 vector. Purification was performed with GST tag affinity column. Diagnostic performance of the produced recombinant antigen, native antigen B and a commercial ELISA kit were further evaluated in an ELISA system, using a panel of sera from CE patients and controls. Results: SDS-PAGE demonstrated that the protein of interest had a high expression level and purity after GST tag affinity purification. Western blotting verified the immunoreactivity of the produced recombinant antigen with the sera of CE patients. In an ELISA system, the sensitivity and specificity (for human CE diagnosis) of the recombinant antigen, native antigen B and commercial kit were respectively 93% and 92%, 87% and 90% and 97% and 95%. Conclusion: The produced recombinant antigen showed a high diagnostic value which can be recommended for serodiagnosis of CE in Iran and other CE-endemic areas. Utilizing the combination of other subunits of AgB8 would improve the performance value of the introduced ELISA system.

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