HCV Detection, Discrimination, and Genotyping Technologies

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,...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2018-10, Vol.18 (10), p.3423
Main Authors: Warkad, Shrikant Dashrath, Nimse, Satish Balasaheb, Song, Keum-Soo, Kim, Taisun
Format: Article
Language:English
Subjects:
Biosensing Techniques - instrumentation
Biosensing Techniques - methods
detection
genotyping
Genotyping Techniques
HCV
Hepacivirus - genetics
Hepatitis C - diagnosis
Hepatitis C - genetics
Humans
Nanoparticles
Nanotechnology - instrumentation
Nanotechnology - methods
Nanotubes, Carbon
Nucleic Acid Amplification Techniques - methods
nucleic acids
quantification
Quantum Dots
Real-Time Polymerase Chain Reaction
Reverse Transcription
Review
RT-PCR
viral load
Viral Load - genetics
viruses
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Summary: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s18103423