Molecular Diagnosis of Hepatitis C Viruses; Technologies and Their Clinical Applications


  • Muhammad Ammar Athar National Medical Center Karachi, Pakistan
  • Vakil Ahmad Division of Biological Sciences, 101 Tucker Hall, University of Missouri, Columbia, MO 65201. USA
  • Inaam Ullah International Joint Research Laboratory for Global Change Ecology, School of Life Sciences, Henan University, Kaifeng, Henan, China
  • Malik Sami Ullah Department of Medical College Cancer Research Laboratory, Xiamen, University, Xiamen, Fujian, China


Hepatitis C virus, , genotyping, mixed infection, fluorescence melting curve analysis, viral load, quantification


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.

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




How to Cite

Athar, M. A., Ahmad , V. ., Ullah , I., & Ullah, M. S. . (2022). Molecular Diagnosis of Hepatitis C Viruses; Technologies and Their Clinical Applications. Microbiological & Immunological Communications, 1(01), 55–73. Retrieved from