Preprint Review Version 1 This version is not peer-reviewed

Review: Molecular Diagnosis of Hepatitis C Viruses; Technologies and Its Clinical Applications

Version 1 : Received: 8 October 2018 / Approved: 8 October 2018 / Online: 8 October 2018 (16:08:48 CEST)

How to cite: Athar, M.A.; Ahmad, V.; Ullah, I.; Malik, S.; Wan, S. Review: Molecular Diagnosis of Hepatitis C Viruses; Technologies and Its Clinical Applications. Preprints 2018, 2018100158 (doi: 10.20944/preprints201810.0158.v1). Athar, M.A.; Ahmad, V.; Ullah, I.; Malik, S.; Wan, S. Review: Molecular Diagnosis of Hepatitis C Viruses; Technologies and Its Clinical Applications. Preprints 2018, 2018100158 (doi: 10.20944/preprints201810.0158.v1).

Abstract

Hepatitis-C is one of the most common viral diseases caused by hepatitis C virus (HCV). It is responsible for millions of deaths each year in the developing world. The common dissemination paths of HCV include the use of contaminated water and transfusion of infected blood. Control of this virus has become a challenge for scientists and health professionals due to its versatility and adaptability in different host environments. Along with other problems, lack of efficient diagnosis, quantification and genotyping of viral strains are the major hindrances in a management of this notorious epidemic. The knowledge of HCV genotype and an amount of virus in patient’s blood are pre-requisites to determine the duration and method of treatment. In this review, we discuss the implications of HCV molecular diagnostic methods and their clinical applications. We conclude that while, several commercial and home-brewed methods are available for this purpose, and there is a visible vacuum for cost effective, robust, sensitive assays that can detect multiple viral genotypes in a single reaction. We are of the view that the level of sensitivity offered by Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) technique is unequivocal as compared to other techniques. Therefore, researchers may explore further possibilities using this technique in the management of HCV.

Subject Areas

Hepatitis C virus, Genotyping, Mixed infection, Fluorescence melting curve analysis, Viral Load, Quantification

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