Abstract

Background: Cystic echinococcosis can cause severe disease and probable death in humans. Epitopes of its antigens play a key role in the sensitivity and specificity of immunodiagnostic tests.

Methods:Epitope prediction software programs predict the most antigenic linear B-cell epitopes of AgB (8 kD), Ag5, and Ag95. Six such epitopes were predicted and connected by “Gly-Ser” linker and synthesized. The purity of the concentrated recombinant multi-epitope protein was assessed by 15% SDS-PAGE. Overall, 186 serum samples were collected from the Loghman Hakim Hospital and different laboratories, Tehran, Iran, from July 2016 to February 2017. Patients infected with hepatic hydatid cysts, patients infected by other parasites and viruses, and healthy individuals were used to detect the anti-CE IgG using recombinant multi-epitope protein.

Results: Forty-one samples out of 43 cases of hydatidosis were diagnosed correctly as positive, and two were negative. In addition, six negative cases of healthy individual group were diagnosed as positive and negative with rMEP-ELISA and the commercial kit, respectively. Therefore, these six samples were considered as false positive using our method. In addition, a diagnostic sensitivity of 95.3% (95% CI, 84.19% to 99.43%) and a specificity of 95.0% (95% CI, 89.43% to 98.14%) were obtained using optimum cutoff value (0.20). The sensitivity and specificity of the commercial kit was 100%.

Conclusion: Our findings showed high diagnostic accuracy of the ELISA test using the developed recombinant protein, which encourages the use of this recombinant multi-epitope protein for rapid serological diagnosis of hydatidosis.

Details

Title
Designing a Recombinant Multi-Epitope Antigen of Echinococ-cus granulosus to Diagnose Human Cystic Echinococcosis
Author
MIRZAPOUR, Aliyar; Seyyed Javad SEYYED TABAEI  VIAFID ORCID Logo  ; BANDEHPOUR, Mojgan  VIAFID ORCID Logo  ; HAGHIGHI, Ali  VIAFID ORCID Logo  ; KAZEMI, Bahram  VIAFID ORCID Logo 
Pages
1-10
Section
Original Article(s)
Publication year
2020
Publication date
2020
Publisher
Tehran University of Medical Sciences
ISSN
17357020
e-ISSN
2008238X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2667858451
Copyright
© 2020. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.