HCV-Core Region: Its Significance in HCV-Genotyping and Type Dependent Genomic Expression

Association of genotypes with viral load and biochemical markers in HCV-infected Sindhi patients

The presented study had two objectives. The first was to examine distributions of Hepatitis C Virus (HCV) genotypes in Sindh, Pakistan, where HCV is prevalent. The other was to explore clinically relevant relationships between the genotypes, viral load (measured by real-time polymerase chain reaction assays) and biochemical markers. For this, 1471 HCV-infected patients in six cities in Sindh were recruited and sampled. HCV genotype distributions varied among the cities, but genotype 3a was most prevalent, followed by 3b, 1a and 1b (detected in 51.5, 22.7. 9.25 and 3.2% of the cases, respectively). No type-specific sequences were detected in serum samples from 189 (12.8%) of the 1471 patients. Frequencies of low (<200,000IU/mL serum), intermediate (200,000-600,000IU/mL serum) and high (>600,000IU/mL serum) viral loads were respectively 45.4, 16.5 and 38.1% for patients infected with genotype 3, and 16.9, 36.9 and 46.2%, respectively, for patients with other genotypes. Infection with genotype 1a was associated with significantly higher (p<0.005) alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase titers than infection with genotype 3a. The results will help in the formulation of treatment strategies.

Hepatitis C Genotype Prevalence in Monastir Region, Tunisia: Correlation between 5' Untranslated Region (5'UTR), Non-structural 5B (NS5B), and Core Sequences in HCV Subtyping

Hepatitis C virus (HCV) is a causative agent of chronic liver disease, cirrhosis, and hepatocellular carcinoma. It constitutes a major public health around the world. There is no vaccine available against HCV, and current therapies are effective in only small percentage of patients. HCV has wide population-specific genotype variability. Genotype knowledge and viral load assessment are equally important for designing therapeutic strategies. Taking into account that the molecular epidemiology of HCV variants circulating in Tunisia is not yet well elucidated, and that, at present, little is known about the distribution pattern of HCV in Monastir region (Tunisia), we aimed, herein, to evaluate the prevalence of HCV genotypes in Monastir and to identify risk-related factors. For this purpose, 50 anti-HCV antibody-positive cases were diagnosed and subjected to viral RNA extraction, amplification, genotyping, and viral load quantification. Molecular epidemiology was studied by 5' untranslated region (5' UTR) sequencing as compared with the non-structural 5B (NS5B) and core region sequences. Overall concordance between 5' UTR, core, and NS5B sequencing was 100 %. The highest prevalent genotype was 1b (50 %) followed by genotypes 1a (16 %), 4a (12 %), 2a (10 %), 2c (8 %), and 3a (4 %). Interestingly, the subtype 1b had a statistically significant higher viral load than the other genotypes followed by subtype 1a. Based on these data, this study revealed a high prevalence of HCV genotype 1 (subtypes 1b and 1a) compared to other genotypes. A continued monitoring of HCV and knowledge of circulating genotypes could impact on future vaccine formulations.

Rapid detection of HCV genotyping 1a, 1b, 2a, 3a, 3b and 6a in a single reaction using two-melting temperature codes by a real-time PCR-based assay

The genotype of the hepatitis C virus (HCV) is an important indicator for antiviral therapeutic response. We hereby described development of a rapid HCV genotyping approach that enabled the identification of the six most common HCV subtypes of Asia, i.e., 1a, 1b, 2a, 3a, 3b, and 6a, in a single reaction. Using two dual-labeled, self-quenched probes that target the core region of the HCV genome, the exact subtype could be accurately identified by two-melting temperature codes determined from the two respective probes in a real-time PCR assay. Analytical sensitivity studies using armored RNA samples representing each of the six HCV subtypes showed that 5 copies/reaction of HCV RNA could be detected. The assay was evaluated using 244 HCV-positive serum samples and the results were compared with sequencing analysis. Of the 224 samples, subtype 3a (127, 52.3%) was the dominant, followed by 1b (51, 20.9%), 3b (47, 19.3%), 2a (8, 3.3%), 6a (4, 1.6%) and the least was subtype 1a (1, 0.4%). Moreover, 6 (2.5%) mixed infection samples were also detected. These results were fully concordant with sequencing analysis. We concluded that this real-time PCR-based assay could provide a rapid and reliable tool for routine HCV genotyping in most Asian countries.