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Published on: July 16, 2012
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.
Abstract:
According to the World Health Organization (WHO), 71 million people were living with Hepatitis C virus (HCV) infection worldwide in 2015. Each year, about 399,000 HCV-infected people succumb to cirrhosis, hepatocellular carcinoma, and liver failure. Therefore, screening of HCV infection with simple, rapid, but highly sensitive and specific methods can help to curb the global burden on HCV healthcare. Apart from the determination of viral load/viral clearance, the identification of specific HCV genotype is also critical for successful treatment of hepatitis C. This critical review focuses on the technologies used for the detection, discrimination, and genotyping of HCV in clinical samples. This article also focuses on advantages and disadvantages of the reported methods used for HCV detection, quantification, and genotyping.
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