The first complete genome sequence of HCV-1a from Pakistan and a phylogenetic analysis with complete genomes from the rest of the world

Next-generation sequencing studies on the E1-HVR1 region of hepatitis C virus (HCV) from non-high-risk HCV patients living in Punjab and Khyber Pakhtunkhwa, Pakistan

The incidence rate of hepatitis C virus (HCV) infection in Pakistan is very high. In this study, we evaluated the genetic heterogeneity of HCV hypervariable region 1 (HVR1) from the HCV-infected Pakistani population and compare the isolated genotypes with representative sequences from internationally diverse geographic regions. We also investigated potential transmission events in non-high-risk HCV patients. Next-generation sequencing (NGS) data from the E1-HVR1 region from 30 HCV patients were used for phylogenetic analysis. Reference sequences were retrieved from the Los Alamos HCV and GenBank databases. NGS data were analyzed to examine HCV HVR1 sequence diversity and identify transmission links among HCV-infected individuals using Global Hepatitis Outbreak and Surveillance Technology (GHOST). Phylogenetic analysis showed the predominance of HCV genotype 3a (86.6%), followed by 1a (6.6%), 1b (3.3%), and 3b (3.3%). NGS of HVR1 displayed significant genetic heterogeneity of HCV populations within each patient. The average nucleotide sequence diversity for HVR1 was 0.055. JR781281 was found to be the most diverse (0.14) of the specimens. Phylogenetic analysis demonstrated that all HCV specimens sequenced in this study were more similar to each other and showed variations from the representative sequences. The GHOST results suggested genetic relatedness between two (6.6%) HCV cases, possibly defining an incipient outbreak in a non-high-risk population. We urge rigorous countrywide investigation of outbreaks to identify transmission clusters and their sources to incorporate preventive measures for disease control.

Molecular Tracing of Hepatitis C Virus Genotype 1 Isolates in Iran: A NS5B Phylogenetic Analysis with Systematic Review

CONTEXT

Hepatitis C virus (HCV) is characterized by a high degree of genetic heterogeneity and classified into 7 genotypes and different subtypes. It heterogeneously distributed through various risk groups and geographical regions. A well-established phylogenetic relationship can simplify the tracing of HCV hierarchical strata into geographical regions. The current study aimed to find genetic phylogeny of subtypes 1a and 1b of HCV isolates based on NS5B nucleotide sequences in Iran and other members of Eastern Mediterranean regional office of world health organization, as well as other Middle Eastern countries, with a systematic review of available published and unpublished studies.

EVIDENCE ACQUISITION

The phylogenetic analyses were performed based on the nucleotide sequences of NS5B gene of HCV genotype 1 (HCV-1), which were registered in the GenBank database. The literature review was performed in two steps: 1) searching studies evaluating the NS5B sequences of HCV-1, on PubMed, Scopus, and Web of Science, and 2) Searching sequences of unpublished studies registered in the GenBank database.

RESULTS

In this study, 442 sequences from HCV-1a and 232 from HCV-1b underwent phylogenetic analysis. Phylogenetic analysis of all sequences revealed different clusters in the phylogenetic trees. The results showed that the proportion of HCV-1a and -1b isolates from Iranian patients probably originated from domestic sources. Moreover, the HCV-1b isolates from Iranian patients may have similarities with the European ones.

CONCLUSIONS

In this study, phylogenetic reconstruction of HCV-1 sequences clearly indicated for molecular tracing and ancestral relationships of the HCV genotypes in Iran, and showed the likelihood of domestic origin for HCV-1a and various origin for HCV-1b.

Hepatitis C virus whole genome sequencing: Current methods/issues and future challenges

Therapy for hepatitis C is currently undergoing a revolution. The arrival of new antiviral agents targeting viral proteins reinforces the need for a better knowledge of the viral strains infecting each patient. Hepatitis C virus (HCV) whole genome sequencing provides essential information for precise typing, study of the viral natural history or identification of resistance-associated variants. First performed with Sanger sequencing, the arrival of next-generation sequencing (NGS) has simplified the technical process and provided more detailed data on the nature and evolution of viral quasi-species. We will review the different techniques used for HCV complete genome sequencing and their applications, both before and after the apparition of NGS. The progress brought by new and future technologies will also be discussed, as well as the remaining difficulties, largely due to the genomic variability.

Geographic distribution of HCV genotypes in Libya and analysis of risk factors involved in their transmission

Background

Hepatitis C virus (HCV) genotypes have been shown to be differently distributed between distinct geographical areas. Libya is a large country has the longest coast in the Mediterranean basin. Information regarding hepatitis C genotypes and subtypes circulating in Libya are not well known. The objectives of this study were to determine the frequency of various HCV genotypes cross Libya and the demographic and attributable risk factors associated with HCV transmission among Libyan population.

Methods

A cross-sectional study was carried out on patients with recently confirmed HCV infection. A total of 3,227 serum samples enrolled at 19 collection center cross Libya. 1,756 belonged to Tripoli region, 452 to West region 355 to North region, 181 South regions and 483 East region. The samples were tested by type specific genotyping assay and correlated with demographic and potential risk factors within the studied populations.

Results

A total of 20 discrete genotypes and subtypes were identified among the Libyan population ranging from 11.5 to 0.3 % cross the country. Genotype 1 was the most frequent among all regions (19.7–40.5 %), reaching the highest value in Tripoli region, followed by genotype 4 which was more prevalent in the South (49.3 %) and West (40.0 %) regions. Genotype 3, was higher in Tripoli (21.3 %) and East (15.9 %) regions while genotype 2, common in North (23.6 %) and South (22.5 %) regions. However, we found evidence that there is a changing relative prevalence of HCV genotypes in relation to age, gender and the mode of transmission which is reflected in the predominance of certain genotypes among Libyan population.

Conclusions

Different HCV genotypes were isolated form Libyan population including newly emerged ones. The prevalence of the genotypes varied by geographic region and influenced by demographic and risk factors. Knowing the frequency and distribution of the genotypes would provide key information on understanding the spread of HCV in Libya and this could be greatly reflected on national plans and future strategies for infection prevention.

Phylogenetic and 2D/3D Analysis of HCV 1a NS4A Gene/Protein in Pakistani Isolates

BACKGROUND

The nonstructural protein NS4A of hepatitis C virus is composed of 54 amino acids. This small size protein has vital role in many cellular functions. The most important reported function is being a cofactor of viral enzymes serine protease and helicase.

OBJECTIVES

The objective of this study was to analyze the phylogenetic variation, its impact in terms of translation and any functional change in protein structure at primary 2D/3D structure using computational tools from Pakistani patients isolates.

MATERIALS AND METHODS

Patient sera infected with Hepatitis C virus, genotype 1A, were obtained from Molecular Diagnostics lab, CEMB, University of the Punjab Lahore by using BD Vacutainer collection tubes (Becton Dickenson).

RESULTS

Phylogenetic analysis of the gene revealed that Pakistani 1a HCV strains are in the start of third cluster and there is a difference between inter Pakistani isolates at primary, secondary and tertiary levels.

CONCLUSIONS

Mutations were present in the central domain of NS4A (amino acids 21 - 34).

De Novo modeling of Envelope 2 protein of HCV isolated from Pakistani patient and epitopes prediction for vaccine development

Hepatitis C virus (HCV) is a universal health issue and a significant risk factor leading to hepatocellular carcinoma. HCV has infected approximately 170 million individuals worldwide. It is a member of Flaviviridae with positive sense RNA genome. In the absence of any effective vaccine against HCV, pegylated interferon with ribavirin is the standard of treatment against HCV infection. In this study, sequence and structural analysis of envelope 2 (E2) protein was performed which was isolated from patients of HCV genotype 3a in Pakistan. Then, epitopes were predicted which were specific for both B-cells and T-cells. Later, conservancy of epitopes was checked with the HCV 3a and 1a sequences from different countries. A total of 6 conserved epitopes were found from extra-membranous regions of E2 protein. Presence of conserved epitopes in E2 protein generates the possibility that these epitopes can be used to elicit the immune response against HCV.