Development of Recombinant Multi-Epitope Hepatitis C Virus (HCV) Protein for Hepatitis C Diagnosis

Hepatitis C virus (HCV) infection poses a major challenge to global public health, highlighting the need for accessible and reliable diagnostic tools to support large-scale screening and early detection. In this study, a recombinant multi-epitope HCV protein was designed, expressed, and evaluated as a diagnostic antigen for the detection of anti-HCV antibodies. The synthetic gene was constructed using immunodominant regions (core, NS3, NS4, NS5A, and NS5B) representative of HCV genotypes 1a, 1b, and 3a. The recombinant protein was expressed in Escherichia coli and purified by affinity chromatography, yielding a soluble protein with an approximate molecular weight of 43 kDa and antigenicity confirmed by Western blot analysis. An enzyme-linked immunosorbent assay (ELISA) was developed in-house using the recombinant protein as the capture antibody. Diagnostic performance was evaluated using a panel of 260 human serum samples, including 127 anti-HCV reactive and 133 anti-HCV non-reactive specimens, and receiver operating characteristic (ROC) curve analysis. The assay demonstrated excellent performance with an area under the curve (AUC) of 0.968, sensitivity of 86.6%, specificity of 98.5%, and overall accuracy of 92.7%. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. The assay demonstrated excellent performance in serum samples, with an area under the curve (AUC) of 0.968, a sensitivity of 86.6%, and a specificity of 98.5%. These results demonstrate that the recombinant multi-epitope antigen represents a robust and scalable biomolecular platform for HCV serodiagnosis, contributing to strategies that expand access to hepatitis C screening.

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Journal
Viruses
Published
2026-09-22
DOI
https://doi.org/10.3390/v18101049
Primary Topic
Hepatitis C virus research
Type
article
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article

Development of Recombinant Multi-Epitope Hepatitis C Virus (HCV) Protein for Hepatitis C Diagnosis

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Viruses
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article

Development of Recombinant Multi-Epitope Hepatitis C Virus (HCV) Protein for Hepatitis C Diagnosis

Raissa Martins Deodato, Jurema Corrêa da Mota, Erik Machado-Ferreira, Diego Allonso, Mayara Torquato Lima Silva, Lívia Melo Villar, Julia Trece Marques Possas
article en

Abstract

Hepatitis C virus (HCV) infection poses a major challenge to global public health, highlighting the need for accessible and reliable diagnostic tools to support large-scale screening and early detection. In this study, a recombinant multi-epitope HCV protein was designed, expressed, and evaluated as a diagnostic antigen for the detection of anti-HCV antibodies. The synthetic gene was constructed using immunodominant regions (core, NS3, NS4, NS5A, and NS5B) representative of HCV genotypes 1a, 1b, and 3a. The recombinant protein was expressed in Escherichia coli and purified by affinity chromatography, yielding a soluble protein with an approximate molecular weight of 43 kDa and antigenicity confirmed by Western blot analysis. An enzyme-linked immunosorbent assay (ELISA) was developed in-house using the recombinant protein as the capture antibody. Diagnostic performance was evaluated using a panel of 260 human serum samples, including 127 anti-HCV reactive and 133 anti-HCV non-reactive specimens, and receiver operating characteristic (ROC) curve analysis. The assay demonstrated excellent performance with an area under the curve (AUC) of 0.968, sensitivity of 86.6%, specificity of 98.5%, and overall accuracy of 92.7%. Diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis. The assay demonstrated excellent performance in serum samples, with an area under the curve (AUC) of 0.968, a sensitivity of 86.6%, and a specificity of 98.5%. These results demonstrate that the recombinant multi-epitope antigen represents a robust and scalable biomolecular platform for HCV serodiagnosis, contributing to strategies that expand access to hepatitis C screening.

VirusesVol. 18(10)
Universidade Federal do Rio de Janeiro (BR), National Institute of Science and Technology for Structural Biology and Bioimaging (BR), Fundação Oswaldo Cruz (BR), Universidade Federal do Estado do Rio de Janeiro (BR)
Good health and well-being
Openalex Percentile: Top 13%
Hepatitis C virus research
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