Current and Future Diagnostics for Hepatitis C Virus Infection

Hepatitis C virus (HCV), a member of the Flaviviridae family, is an RNA virus enclosed in an envelope that infects approximately 50 million people worldwide. Despite its significant burden on public health, no vaccine is currently available, and many individuals remain unaware of their infection due to the often asymptomatic nature of the disease. Early detection of HCV is critical for initiating curative treatments, which can prevent long-term complications such as cirrhosis, liver cancer, and decompensated liver disease. However, conventional diagnostic approaches available, such as enzyme immunoassays (EIAs) and polymerase chain reaction (PCR)-based methods, are often costly, time-intensive, and challenging to be implemented in resource-limited settings. This review provides an overview of HCV disease and the structural components of the virus, illustrating how different diagnostic methods target various parts of the viral structure. It examines current diagnostic tests and assays, highlighting their mechanisms, applications, and limitations, which necessitates the development of improved detection methods. Additionally, the paper explores emerging technologies in HCV detection that could offer affordable, accessible, and easy-to-use diagnostic solutions, particularly for deployment in low-resource and point-of-care settings. These advancements have the potential to contribute significantly to achieving the World Health Organization’s (WHO) target of eliminating HCV as a public threat by 2030.

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Publication Details

Journal
Chemosensors
Published
2025-01-23
DOI
https://doi.org/10.3390/chemosensors13020031
Citations
2
Primary Topic
Hepatitis C virus research
Type
article
Field-Weighted Citation Impact
2.64

Funders

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article

Current and Future Diagnostics for Hepatitis C Virus Infection

Rachel Pan, Hussein Zilouchian, Muhammad Awais Younas, Emmanuel Thomas et al.
2 citations
Chemosensors
Hepatitis C virus research
2.64
article

Current and Future Diagnostics for Hepatitis C Virus Infection

Rachel Pan, Hussein Zilouchian, Muhammad Awais Younas, Emmanuel Thomas, Dennis C. Gross, Omair Faqah, Waseem Asghar, Md Alamgir Kabir, M. A. Haseeb, Shane Shaifman
article en
2 citations

Abstract

Hepatitis C virus (HCV), a member of the Flaviviridae family, is an RNA virus enclosed in an envelope that infects approximately 50 million people worldwide. Despite its significant burden on public health, no vaccine is currently available, and many individuals remain unaware of their infection due to the often asymptomatic nature of the disease. Early detection of HCV is critical for initiating curative treatments, which can prevent long-term complications such as cirrhosis, liver cancer, and decompensated liver disease. However, conventional diagnostic approaches available, such as enzyme immunoassays (EIAs) and polymerase chain reaction (PCR)-based methods, are often costly, time-intensive, and challenging to be implemented in resource-limited settings. This review provides an overview of HCV disease and the structural components of the virus, illustrating how different diagnostic methods target various parts of the viral structure. It examines current diagnostic tests and assays, highlighting their mechanisms, applications, and limitations, which necessitates the development of improved detection methods. Additionally, the paper explores emerging technologies in HCV detection that could offer affordable, accessible, and easy-to-use diagnostic solutions, particularly for deployment in low-resource and point-of-care settings. These advancements have the potential to contribute significantly to achieving the World Health Organization’s (WHO) target of eliminating HCV as a public threat by 2030.

ChemosensorsVol. 13(2)
University of Central Florida (US), University of Miami (US), Manchester Royal Infirmary (GB), Manchester University NHS Foundation Trust (GB), Florida Atlantic University (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 13%
Hepatitis C virus research
2.64
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