HCV Detection, Discrimination, and Genotyping Technologies

Shrikant Dashrath Warkad1, Satish Balasaheb Nimse2, Keum-Soo Song3

  • 1Institute for Applied Chemistry and Department of Chemistry, Hallym University, Chuncheon 200-702, Korea. shrikant.warkad@hallym.ac.kr.

Insights

Hepatitis C virus (HCV) screening requires sensitive detection and genotyping methods. This review examines technologies for identifying and quantifying HCV, crucial for effective treatment and reducing global health burdens.

Area of Science:

  • Hepatology
  • Virology
  • Clinical Diagnostics

Background:

  • Hepatitis C virus (HCV) affects millions globally, leading to severe liver diseases like cirrhosis and hepatocellular carcinoma.
  • Effective management of HCV infection necessitates accurate viral load determination and precise genotyping for tailored treatment strategies.

Purpose of the Study:

  • To critically review existing and emerging technologies for the detection, quantification, and genotyping of HCV in clinical settings.
  • To evaluate the advantages and disadvantages of various HCV diagnostic and genotyping methods.

Main Methods:

  • Comprehensive literature review of scientific publications and clinical studies.
  • Analysis of technologies for HCV detection, viral load measurement, and genotype identification.
  • Comparative assessment of method sensitivity, specificity, speed, and clinical utility.

Main Results:

  • Various molecular and serological assays exist for HCV detection and quantification, each with unique performance characteristics.
  • Nucleic acid testing (NAT) and next-generation sequencing are key for accurate HCV genotyping.
  • The choice of method depends on clinical context, required throughput, and available resources.

Conclusions:

  • Accurate and accessible HCV detection and genotyping technologies are vital for global health initiatives.
  • Continued development of rapid, sensitive, and specific diagnostic tools is essential for HCV elimination efforts.
  • Understanding the strengths and limitations of different methods informs optimal clinical application and public health strategies.

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