Current and Future Diagnostics for Hepatitis C Virus Infection
Rattachement africain : us, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
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.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Current and Future Diagnostics for Hepatitis C Virus Infection
- Date Crossref
- 23/01/2025
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
University of Central Florida pays non établi dans la noticeUniversité ou école supérieure
-
Florida Atlantic University Department of Electrical Engineering and Computer Science pays non établi dans la noticeUniversité ou école supérieure
-
Manchester Royal Infirmary pays non établi dans la noticeÉtablissement de santé
-
Manchester University NHS Foundation Trust Manchester Royal Infirmary pays non établi dans la noticeÉtablissement de santé
-
University of Miami Department of Pathology and Laboratory Medicine pays non établi dans la noticeUniversité ou école supérieure
-
College of Engineering and Computer Science Asghar-Lab pays non établi dans la noticeUniversité ou école supérieure
-
College of Medicine pays non établi dans la noticeUniversité ou école supérieure
University of Central Florida, Department of Electrical Engineering and Computer Science — Florida Atlantic University et Manchester Royal Infirmary, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.