Molecular Assay and Genotyping of Hepatitis C Virus among Infected Egyptian and Saudi Arabian Patients

Determination of hepatitis C virus subtype prevalent in Sindh, Pakistan: a phylogenetic analysis

Hepatitis is a major public health issue, affecting 10-17 million people worldwide, with its prevalence continuously increasing. The Hepatitis C virus (HCV) is responsible for liver related diseases, which include liver cirrhosis, hepatocellular carcinoma, and chronic hepatitis. Pakistan is experiencing a serious rise in HCV cases. This study aimed to assess the prevalence and distribution of HCV genotypes in Sindh, Pakistan. Serum samples from HCV-positive patients were collected from various local hospitals in Sindh. These samples were first screened for HCV antibodies using ELISA. Samples that tested positive for HCV RNA underwent further genotyping through sequencing using the standard Sanger method. The genotypes were identified by comparing the sequences with those available in the National Center for Biotechnology Information (NCBI) database, and a phylogenetic tree was constructed. The phylogenetic analysis showed that all isolates in this study were clustered with genotypes 3a and 3b, except for one sequence that was clustered with genotype 1a. No isolates were found to be clustered with reference genomes of genotypes 2, 4, 5, 6, and 7 suggesting that genotype 3a is endemic in this region. The analyzed sequences demonstrated a 98% similarity with reference and isolated sequences. In summary, sequencing of the HCV 5' UTR essential for identifying the predominant genotype of HCV RNA in the Sindh region Further research on the distribution of HCV genotypes in other regions of Pakistan could aid in improving screening processes, identifying more effective treatment options, and developing suitable prevention strategies.

Identifying genotype profile of chronic hepatitis C infection in Southwest Iran

Background:

Hepatitis C virus (HCV) infection is one of the most important risk factors for liver failure which can lead to chronic hepatitis, cirrhosis, and hepatocellular carcinoma. Approximately 170–200 million (almost 3% of the world's population) people have been reported to have HCV infection worldwide. HCV has six genotypes and multiple subtypes. HCV genotyping and identification of subtypes are critical steps for HCV vaccine development.

Materials and Methods:

In this community-based study, we aimed to investigate the HCV genotypes in infected patients referring to the laboratory of Hajar Hospital of Shahrekord city (the capital of Chaharmahal and Bakhtiari Province) in Iran from November 21, 2016, to October 21, 2017. During 2016–2017, the sera were obtained from 2377 individuals referring to the laboratory of Hajar Hospital of Shahrekord, Iran. The anti-HCV antibody was tested for all sera by enzyme-linked immunosorbent assay test. Following HCV RNA isolation and cDNA synthesis, HCV genotype detection was performed by quantitative reverse transcription-polymerase chain reaction.

Results:

Genotypes 3, 1a, and 1b were found in 28.6% (95% confidence interval [CI]: 17.0%–40.0%), 9.5% (95% CI: 2.1%–17.0%), and 3.2% (95% CI: 0.0%–7.6%) of the patients, respectively. In 5 patients (7.9%, 95% CI: 1.1%–14.8%), however, we did not observe any genotypes. We could not find any significant difference between the plasma viral load of infected patients and different genotypes. There was no significant difference either between age groups and genotypes (P > 0.05).

Conclusion:

The findings of the present study determined that HCV genotype 3 was the predominant genotype followed by the genotypes 1a and 1b in Chaharmahal and Bakhtiari Province.

Infection with multiple hepatitis C virus genotypes detected using commercial tests should be confirmed using next generation sequencing

Current HCV genotyping methods may have some limitations in detecting mixed infections. We aimed to determine the accuracy of genotyping and the detection of mixed-genotype infections using the Abbott-RealTime HCV Genotype II assay (Abbott-RT-PCR) in comparison with a Roche-Next Generation Sequencing assay (Roche-NGS). Plasma samples collected from 139 HCV-infected patients tested with Abbott-RT-PCR, 114 with single genotype (GT) and 25 with mixed GTs were genotyped using Roche-NGS. Roche-NGS confirmed all single GTs obtained with Abbott-RT-PCR. One case of Abbott GT 4 was found as GT 1a using Roche-NGS. Genotype 5 was confirmed using Roche-NGS in 75% cases (3 out of 4 cases). Twenty-five patients were identified as having mixed HCVinfections using Abbott-RT-PCR. The concordance between Abbott-RT-PCR and Roche-NGS was 76% (19 out of 25 cases). Three mixed-GT infections identified with the Abbott assay (two (1b + 4); one (1a + 3)) were reported as pure 1b using Roche-NGS. Very divergent results were found for the other three samples. When compared to Roche-NGS, Abbott-RT-PCR has performed excellently for the determination of patients infected with single GTs. For patients that are categorized as having a mixed infection using Abbott-RT-PCR, we recommend an NGS assay as a confirmation test.

Genotyping & diagnostic methods for hepatitis C virus: A need of low-resource countries

Hepatitis C virus (HCV) infection is a blood borne and transfusion-transmitted infection (TTI). It has emerged as one of the major health challenges worldwide. In India, around 12-18 million peoples are infected with HCV, but in terms of prevalence percentage, its looks moderate due to large population. The burden of the HCV infection increases due to lack of foolproof screening of blood and blood products before transfusion. The qualified screening and quantification of HCV play an important role in diagnosis and treatment of HCV-related diseases. If identified early, HCV infection can be managed and treated by recently available antiviral therapies with fewer side effects. However, its identification at chronic phase makes its treatment very challenging and sometimes ineffective. The drugs therapy for HCV infection treatment is also dependent on its genotype. Different genotypes of HCV differ from each other at genomic level. The RNA viruses (such as HCV) are evolving perpetually due to interaction and integration among people from different regions and countries which lead to varying therapeutic response in HCV-infected patients in different geographical regions. Therefore, proper diagnosis for infecting virus and then exact determination of genotype become important for targeted treatment. This review summarizes the general information on HCV, and methods used for its diagnosis and genotyping.

The Distribution of Hepatitis C Virus Genotypes in Middle Eastern Countries: A Systematic Review and Meta-Analysis

CONTEXT

The hepatitis C virus (HCV) is classified into seven genotypes and more than 100 subtypes. The treatment regimen, duration and efficacy of HCV therapy may vary according to the HCV genotype. Therefore, the HCV genotype should be determined prior to antiviral therapy. The objective of the current study was to review systematically all studies reporting the distribution of HCV genotypes in the countries that make up the Middle East.

EVIDENCE ACQUISITION

Articles were identified by searching electronic databases, including Scopus, PubMed and Google scholar, with timeline limits (articles published between 1995 and 2016). We carried out a systematic search regarding the distribution of HCV genotypes in Middle Eastern countries.

RESULTS

A total of 579 studies were identified by the electronic search. Of these, a total of 187 were identified as eligible papers including 60,319 patients who were meta-analyzed for pooled distribution of HCV genotypes. In Turkey, Israel, Cyprus, and Iran, genotype 1 was the most prevalent HCV genotype with rates of 82% (95% CI, 82%-83%), 68% (95% CI, 67%-69%), 68% (95% CI, 59%-77%), and 55% (95% CI, 54%-55%), respectively. In Egypt, Iraq, Saudi Arabia, and Syria, HCV genotype 4 was the most common genotype with rates of 86% (95% CI, 85%-88%), 60% (95% CI, 56%-64%), 56% (95% CI, 54%-55%), and 57% (95% CI, 54%-61%), respectively. On the basis of adjusted data, HCV genotype 4 was the most prevalent genotype in the Middle East region, with a rate of 74.7% (95% CI, 73.4%-76%), followed by genotype 1 at 15.1% (95% CI, 14.1%-16%).

CONCLUSIONS

Our results showed that HCV genotype 4 is the most prevalent genotype in the Middle East region. However, HCV genotype 1 is the most prevalent among non-Arab countries in the region including Turkey, Iran, Cyprus, and Israel.