Hepatitis C Virus Genome Research Articles

Selective Depletion of ZAP-Binding CpG Motifs in HCV Evolution.

Hepatitis C virus (HCV) is a bloodborne pathogen that can cause chronic liver disease and hepatocellular carcinoma. The loss of CpGs from virus genomes allows escape from restriction by the host zinc-finger antiviral protein (ZAP). The evolution of HCV in the human host has not been explored in the context of CpG depletion. We analysed 2616 full-length HCV genomes from 1977 to 2021. During the four decades of evolution in humans, we found that HCV genomes have become significantly depleted in (a) CpG numbers, (b) CpG O/E ratios (i.e., relative abundance of CpGs), and (c) the number of ZAP-binding motifs. Interestingly, our data suggests that the loss of CpGs in HCV genomes over time is primarily driven by the loss of ZAP-binding motifs; thus suggesting a yet unknown role for ZAP-mediated selection pressures in HCV evolution. The HCV core gene is significantly enriched for the number of CpGs and ZAP-binding motifs. In contrast to the rest of the HCV genome, the loss of CpGs from the core gene does not appear to be driven by ZAP-mediated selection. This work highlights CpG depletion in HCV genomes during their evolution in humans and the role of ZAP-mediated selection in HCV evolution.

Mechanistic Insights into the Protection Effect of Argonaute-RNA Complex on the HCV Genome.

While host miRNA usually plays an antiviral role, the relentless tides of viral evolution have carved out a mechanism to recruit host miRNA as a viral protector. By complementing miR-122 at the 5' end of the genome, the hepatitis C virus (HCV) gene can form a complex with Argonaute 2 (Ago2) protein to protect the 5' end of HCV RNA from exonucleolytic attacks. Experiments showed that the disruption of the stem-loop 1(SL1) structure and the 9th nucleotide (T9) of HCV site 1 RNA could enhance the affinity of the Ago2 protein to the HCV site 1 RNA (target RNA). However, the underlying mechanism of how the conformation and dynamics of the Ago2: miRNA: target RNA complex is affected by the SL1 and T9 remains unclear. To address this, we performed large-scale molecular dynamics simulations on the AGO2-miRNA complex binding with the WT target, T9-abasic target and SL1-disruption target, respectively. The results revealed that the T9 and SL1 structures could induce the departing motion of the PAZ, PIWI and N domains, propping up the mouth of the central groove which accommodates the target RNA, causing the instability of the target RNA and disrupting the Ago2 binding. The coordinated motion among the PAZ, PIWI and N domains were also weakened by the T9 and SL1 structures. Moreover, we proposed a new model wherein the Ago2 protein could adopt a more constraint conformation with the proximity and more correlated motions of the PAZ, N and PIWI domains to protect the target RNA from dissociation. These findings reveal the mechanism of the Ago2-miRNA complex's protective effect on the HCV genome at the atomic level, which will offer guidance for the design of drugs to confront the protection effect and engineering of Ago2 as a gene-regulation tool.

Independent evolution of multi-dominant viral genome species observed in a hepatitis C virus carrier

The viral genome quasispecies composition of hepatitis C virus (HCV) could have important implications to viral pathogenesis and resistance to anti-viral treatment. The purpose of the present study was to profile the HCV RNA quasispecies. We developed a strategy to determine the full-length HCV genome sequences co-existing within a single patient serum by using next-generation sequencing technologies. The isolated viral clones were divided into the groups that can be distinguished by core amino acid 70 substitution. Subsequently, we determined HCV full-length genome sequences of three independent dominant species co-existing in the sequential serum with a 7-year interval. From phylogenetic analysis, these dominant species evolved independently. Our study demonstrated that multiple dominant species co-existed in patient sera and evolved independently.

Screening of Occult Hepatitis B and C Virus Infection in Working Children, Tehran, Iran

Background: Working children are susceptible to infection with various infectious microorganisms. Unfortunately, the difficulties of working children are growing at a remarkable speed worldwide. Objectives: The aim of this research was to determine the prevalence of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection, as well as to evaluate the level of anemia, calcium, and phosphorus in working children. Methods: This cross-sectional research was performed on 370 Iranian and Afghan working children from February 2018 to May 2019. Hepatitis B surface antigen (HBsAg), hepatitis B surface antibody (HBsAb), hepatitis B core antibody (HBcAb), and anti-HCV Ab were evaluated using an enzyme-linked immunosorbent assay (ELISA). Furthermore, HCV-RNA and genomic HBV-DNA in the plasma and peripheral blood mononuclear cell (PBMC) specimens of the participants were investigated. The restriction fragment length polymorphism (RFLP) method was used to determine the genotype of HCV, and sequencing was performed to confirm. Results: The mean age of the participants was 10.1 ± 2.1 years (range, 6 - 15 years), and 229 (61.9%) were male. None of the studied children had any detectable HBV-DNA in the plasma and PBMC. The HCV genome was not detected in the plasma of the children, but HCV-RNA was assessed in the PBMC sample of 1 child (0.3%). Therefore, one of the children had occult HCV infection (OCI). The genotype of HCV in this child was subtype 1a. Furthermore, HBsAb was detected in Iranian (41.5%) and Afghan children (40.0%), and 2 (0.54%) of the working children were HBsAg positive. In 3 participants (0.8%), a positive HBcAb test result was noted. Conclusions: The prevalence of HCV and HBV infection in working children in Iran is extremely rare. However, there is a possibility of the presence of OCI in these children.

Hepatocytes infected with hepatitis C virus change immunological features in the liver microenvironment.

Hepatitis C virus (HCV) infection is remarkably efficient in establishing viral persistence, leading to the development of liver cirrhosis and hepatocellular carcinoma (HCC). Direct-acting antiviral agents (DAAs) are promising HCV therapies to clear the virus. However, recent reports indicate potential increased risk of HCC development among HCV patients with cirrhosis following DAA therapy. CD8+ T-cells participate in controlling HCV infection. However, in chronic hepatitis C patients, severe CD4+ and CD8+ T-cell dysfunctions have been observed. This suggests that HCV may employ mechanisms to counteract or suppress the host T-cell responses. The primary site of viral replication is within hepatocytes where infection can trigger the expression of costimulatory molecules and the secretion of immunoregulatory cytokines. Numerous studies indicate that HCV infection in hepatocytes impairs antiviral host immunity by modulating the expression of immunoregulatory molecules. Hepatocytes expressing whole HCV proteins upregulate the ligands of programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1), and transforming growth factor β (TGF-β) synthesis compared to those in hepatocytes in the absence of the HCV genome. Importantly, HCV-infected hepatocytes are capable of inducing regulatory CD4+ T-cells, releasing exosomes displaying TGF-β on exosome surfaces, and generating follicular regulatory T-cells. Recent studies report that the expression profile of exosome microRNAs provides biomarkers of HCV infection and HCV-related chronic liver diseases. A better understanding of the immunoregulatory mechanisms and identification of biomarkers associated with HCV infection will provide insight into designing vaccine against HCV to bypass HCV-induced immune dysregulation and prevent development of HCV-associated chronic liver diseases.

A PHYLOGENETIC APPROACH TO EVALUATE THE RELATION BETWEEN miRNA EXPRESSIONS AND HEPATITIS C VIRUS IN HEPATOCELLULAR CARCINOMA

Objective: Hepatitis C virus(HCV) infection increases the risk for Hepatocellular carcinoma (HCC) development, which is the sixth most common cancer type worldwide. HCV-related HCC has high mortality rates and HCV genotype is shown to affect survival in HCC. Two molecules that are known to be associated with poor cancer prognosis in HCC are endoplasmic reticulum transmembrane stromal interaction molecule 1(STIM1) and plasma membrane calcium channel(Orai1). Materials and Methods: In this study, we have enhanced STIM1 and/or Orai1 expressions in subpopulation of cancer-stem-cell-like cells in Huh7 HCC cell line in order to mimic poor cancer prognosis and performed next generation sequencing on small RNA samples isolated from these cells in order to identify the changes in miRNA expression patterns. Multiple alignment and phylogenetic analysis were used on stem loop sequences of miRNAs with significant expression changes and tried to identify a possible evolutionary relation of these miRNAs with HCV genotypes. Results: Our results showed that there were 5 different regions in HCV genome where these miRNAs are mostly aligned. miR4521, miR3651, miR7974 and miR6715a showed closed relations with HCV-genotypes-1 and -7 within these regions. These miRNAs also known to be related with cancer progression in several cancer types including HCC. Conclusion: We propose that a phylogenetic approach can be helpful to evaluate the evolutionary strategies of cancer promoting viruses as well as possible viral origins of miRNAs that play role in cancer progression. This work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK) [Grant Number:113S399].

Molecular Epidemiology and Baseline Resistance of Hepatitis C Virus to Direct Acting Antivirals in Croatia.

Molecular epidemiology of hepatitis C virus (HCV) is exceptionally complex due to the highly diverse HCV genome. Genetic diversity, transmission dynamics, and epidemic history of the most common HCV genotypes were inferred by population sequencing of the HCV NS3, NS5A, and NS5B region followed by phylogenetic and phylodynamic analysis. The results of this research suggest high overall prevalence of baseline NS3 resistance associate substitutions (RAS) (33.0%), moderate prevalence of NS5A RAS (13.7%), and low prevalence of nucleoside inhibitor NS5B RAS (8.3%). Prevalence of RAS significantly differed according to HCV genotype, with the highest prevalence of baseline resistance to NS3 inhibitors and NS5A inhibitors observed in HCV subtype 1a (68.8%) and subtype 1b (21.3%), respectively. Phylogenetic tree reconstructions showed two distinct clades within the subtype 1a, clade I (62.4%) and clade II (37.6%). NS3 RAS were preferentially associated with clade I. Phylogenetic analysis demonstrated that 27 (9.0%) HCV sequences had a presumed epidemiological link with another sequence and classified into 13 transmission pairs or clusters which were predominantly comprised of subtype 3a viruses and commonly detected among intravenous drug users (IDU). Phylodynamic analyses highlighted an exponential increase in subtype 1a and 3a effective population size in the late 20th century, which is a period associated with an explosive increase in the number of IDU in Croatia.

Probe Capture Enrichment Methods for HIV and HCV Genome Sequencing and Drug Resistance Genotyping.

Human immunodeficiency virus (HIV) infections remain a significant public health concern worldwide. Over the years, sophisticated sequencing technologies such as next-generation sequencing (NGS) have emerged and been utilized to monitor the spread of HIV drug resistance (HIVDR), identify HIV drug resistance mutations, and characterize transmission dynamics. Similar applications also apply to the Hepatitis C virus (HCV), another bloodborne viral pathogen with significant intra-host genetic diversity. Several advantages to using NGS over conventional Sanger sequencing include increased data throughput, scalability, cost-effectiveness when batched sample testing is performed, and sensitivity for quantitative detection of minority resistant variants. However, NGS alone may fail to detect genomes from pathogens present in low copy numbers. As with all sequencing platforms, the primary determinant in achieving quality sequencing data is the quality and quantity of the initial template input. Samples containing degraded RNA/DNA and/or low copy number have been a consistent sequencing challenge. To overcome this limitation probe capture enrichment is a method that has recently been employed to target, enrich, and sequence the genome of a pathogen present in low copies, and for compromised specimens that contain poor quality nucleic acids. It involves the hybridization of sequence-specific DNA or RNA probes to a target sequence, which is followed by an enrichment step via PCR to increase the number of copies of the targeted sequences after which the samples are subjected to NGS procedures. This method has been performed on pathogens such as bacteria, fungus, and viruses and allows for the sequencing of complete genomes, with high coverage. Post NGS, data analysis can be performed through various bioinformatics pipelines which can provide information on genetic diversity, genotype, virulence, and drug resistance. This article reviews how probe capture enrichment helps to increase the likelihood of sequencing HIV and HCV samples that contain low viral loads and/or are compromised.

Genetic diversity of hepatitis C virus and resistance associated substitutions to direct-acting antiviral treatment in Colombia

Hepatitis C virus (HCV) infection is one of the leading risk factors for end-stage liver disease development worldwide. This RNA virus displays high genetic diversity with 8 genotypes and 96 subgenotypes with heterogeneous geographical distribution around the world. In this study, we carried out an active case finding of individuals with a history of transfusion events before 1996 in three cities in Colombia. Then, the characterization of the HCV genotypes, subgenotypes, and resistance associate substitutions (RAS) was performed in samples positives for antibodies anti-HCV + from this study population. In addition, samples from PWID and patients with end-stage liver disease submitted to liver transplantation were included in the phylogenetic and RAS analysis. The 5′UTR, NS5A, and NS5B regions of the HCV genome were amplified in serum or liver explants samples. After the edition, assembly, and alignment of the sequences, genotyping through phylogenetic analysis was performed using IQTREE V2.0.5 based on the maximum likelihood approach. The identification of RAS was carried out by alignments based on the reference sequence (GenBank NC_004102). Two hundred sixty individuals with blood transfusion events before 1996 were recruited. The seroprevalence of antibodies anti-HCV was 2.69% in this population. The HCV genotypes 1, 2, and 4 and subgenotypes 1a, 1b, 2a, 4a and 4d were characterized in samples of the study populations. Three RAS (Q30R, C316N, and Y93H) were identified in samples obtained from 2 individuals who received blood transfusion before 1996 and without previous antiviral treatment and 6 samples obtained from patients with end-stage liver disease. Among the 20 samples analyzed, the HCV genotype 1, subgenotype 1b, was the most frequent (60%). We report the first characterization of HCV subgenotypes 4a and 4d and the first RAS identification in patients in Colombia.

Preliminary Study on the Possibility to Detect Virus Nucleic Acids in Post-Mortem Blood Samples.

In many forensic cases, the medical records of the deceased are not available at the time of the autopsy; therefore, no information about the deceased's state of health, including any infectious diseases contracted during life, is accessible. The detection of some of the principal viral infections, such as hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus type 1 (HIV-1), could contribute to determining causes of death and interesting applications could be found in medico-legal practice, such as occupational risk assessment. To date, accurate and sensitive serological and molecular assays capable of detecting these viruses have been validated on biological samples taken from living beings, while their efficiency on forensic post-mortem biological samples has yet to be thoroughly assessed. To further this aim, this study evaluated whether the nucleic acid amplification techniques (NAATs) for the detection of viral genomes that are applied in clinical settings can be used, with the same success rate, for these latter samples. Manual viral nucleic acid extraction processes and fully-automated amplification-based detection techniques developed in-house were evaluated on blood samples taken during the routine autopsies of 21 cadavers performed 2 to 9 days after death. Information on HBV, HCV, and HIV-1 seropositive status was previously known for only four of these cadavers. Using automated quantitative real-time PCR (qPCR) and qualitative PCR (end-point) analyses, it was possible to confirm the presence of viral genomes in the four post-mortem whole blood samples with previously reported specific serological positivity. In addition, the genomes of HCV and/or HIV-1 genomes were detected in three other blood samples with unknown serological status at the time of autopsy. Therefore, our findings suggest that molecular assays may detect the presence of viral genomes in forensic post-mortem blood samples up to five days after death. This provides an additional means of investigation that can contribute to the determination of the deceased's cause of death.

Enhanced host immune responses in presence of HCV facilitate HBV clearance in coinfection

Hepatitis B virus (HBV)/Hepatitis C virus (HCV) coinfection is frequently observed because of the common infection routine. Despite the reciprocal inhibition exerted by HBV and HCV genomes, the coinfection of HBV and HCV is associated with more severe forms of liver diseases. However, the complexity of viral interference and underlying pathological mechanism is still unclarified. With the demonstration of absence of direct viral interplay, some in vitro studies suggest the indirect effects of viral-host interaction on viral dominance outcome. Here, we comprehensively investigated the viral replication and host immune responses which might mediate the interference between viruses in HBV/HCV coinfected Huh7-NTCP cells and immunocompetent HCV human receptors transgenic ICR mice. We found that presence of HCV significantly inhibited HBV replication in vitro and in vivo irrespective of the coinfection order, while HBV did not affect HCV replication. Pathological alteration was coincidently reproduced in coinfected mice. In addition to the participation of innate immune response, an involvement of HCV in up-regulating HBV-specific immune responses was described to facilitate HBV clearance. Our systems partially recapitulate HBV/HCV coinfection and unveil the uncharacterized adaptive anti-viral immune responses during coinfection, which renews the knowledge on the nature of indirect viral interaction during HBV/HCV coinfection.

Assessing in vivo mutation frequencies and creating a high-resolution genome-wide map of fitness costs of Hepatitis C virus

Like many viruses, Hepatitis C Virus (HCV) has a high mutation rate, which helps the virus adapt quickly, but mutations come with fitness costs. Fitness costs can be studied by different approaches, such as experimental or frequency-based approaches. The frequency-based approach is particularly useful to estimate in vivo fitness costs, but this approach works best with deep sequencing data from many hosts are. In this study, we applied the frequency-based approach to a large dataset of 195 patients and estimated the fitness costs of mutations at 7957 sites along the HCV genome. We used beta regression and random forest models to better understand how different factors influenced fitness costs. Our results revealed that costs of nonsynonymous mutations were three times higher than those of synonymous mutations, and mutations at nucleotides A or T had higher costs than those at C or G. Genome location had a modest effect, with lower costs for mutations in HVR1 and higher costs for mutations in Core and NS5B. Resistance mutations were, on average, costlier than other mutations. Our results show that in vivo fitness costs of mutations can be site and virus specific, reinforcing the utility of constructing in vivo fitness cost maps of viral genomes.

Mutational spectrum of hepatitis C virus in patients with chronic hepatitis C determined by single molecule real-time sequencing

The emergence of hepatitis C virus (HCV) with resistance-associated substitution (RAS), produced by mutations in the HCV genome, is a major problem in direct acting antivirals (DAA) treatment. This study aimed to clarify the mutational spectrum in HCV-RNA and the substitution pattern for the emergence of RASs in patients with chronic HCV infection. HCV-RNA from two HCV replicon cell lines and the serum HCV-RNA of four non-liver transplant and four post-liver transplant patients with unsuccessful DAA treatment were analyzed using high-accuracy single-molecule real-time long-read sequencing. Transition substitutions, especially A>G and U>C, occurred prominently under DAAs in both non-transplant and post-transplant patients, with a mutational bias identical to that occurring in HCV replicon cell lines during 10-year culturing. These mutational biases were reproduced in natural courses after DAA treatment. RASs emerged via both transition and transversion substitutions. NS3-D168 and NS5A-L31 RASs resulted from transversion mutations, while NS5A-Y93 RASs was caused by transition substitutions. The fidelity of the RNA-dependent RNA polymerase, HCV-NS5B, produces mutational bias in the HCV genome, characterized by dominant transition mutations, notably A>G and U>C substitutions. However, RASs are acquired by both transition and transversion substitutions, and the RASs-positive HCV clones are selected and proliferated under DAA treatment pressure.

Evolution of within-host variants of the hepatitis C virus.

Comprehensive investigation of the within-host evolution of hepatitis C virus (HCV) variants has been difficult without high coverage deep sequencing data and bioinformatics tools to characterise these variants. With the advent of high throughput, long-read sequencing platforms such as Oxford Nanopore Technology (ONT), capturing within-host evolution of HCV using full genome sequences has become feasible. This study aimed to provide the proof of concept that within-host evolutionary analysis of HCV using near-full-length genomes, is achievable. Five treatment naïve subjects with chronic HCV infection were sampled longitudinally from 6months to 5years post-infection, with 3-5 sampling timepoints per subject. Near full-length sequences generated using the ONT platform encompassing within-host HCV variants were analysed using an in-house bioinformatic tool. A 200-sequence proxy alignment of the viral variants was made for each subject and timepoint, proportionately representing the observed within-host variants. This alignment was then used in a Bayesian evolutionary analysis using BEAST software suite (v1.8). The estimated within-host substitution rates ranged between 0.89 and 6.19×10-5 substitutions/site/day. At most timepoints, observed viral lineages were closely related to those from the immediately preceding timepoint, and genetic diversity bottlenecks were observed at intervals in both the acute and chronic phases of infection. The highest within-host mutation rates were observed in the Envelope-P7 and NS5 regions while the Core region was the most conserved. This study demonstrates the feasibility of studying within-host evolution of near-full-length HCV genomes, using long-read sequencing platforms. When considered in conjunction with meta-data such as the host immune response, these methods may offer high resolution insights into immune escape (in vivo or in vitro) to inform vaccine design and to predict spontaneous clearance.

Analysis of direct-acting antiviral-resistant hepatitis C virus haplotype diversity by single-molecule and long-read sequencing.

The method of analyzing individual resistant hepatitis C virus (HCV) by a combination of haplotyping and resistance‐associated substitution (RAS) has not been fully elucidated because conventional sequencing has only yielded short and fragmented viral genomes. We performed haplotype analysis of HCV mutations in 12 asunaprevir/daclatasvir treatment‐failure cases using the Oxford Nanopore sequencer. This enabled single‐molecule long‐read sequencing using rolling circle amplification (RCA) for correction of the sequencing error. RCA of the circularized reverse‐transcription polymerase chain reaction products successfully produced DNA longer than 30 kilobase pairs (kb) containing multiple tandem repeats of a target 3 kb HCV genome. The long‐read sequencing of these RCA products could determine the original sequence of the target single molecule as the consensus nucleotide sequence of the tandem repeats and revealed the presence of multiple viral haplotypes with the combination of various mutations in each host. In addition to already known signature RASs, such as NS3‐D168 and NS5A‐L31/Y93, there were various RASs specific to a different haplotype after treatment failure. The distribution of viral haplotype changed over time; some haplotypes disappeared without acquiring resistant mutations, and other haplotypes, which were not observed before treatment, appeared after treatment. Conclusion: The combination of various mutations other than the known signature RAS was suggested to influence the kinetics of individual HCV quasispecies in the direct‐acting antiviral treatment. HCV haplotype dynamic analysis will provide novel information on the role of HCV diversity within the host, which will be useful for elucidating the pathological mechanism of HCV‐related diseases.

Molecular Docking and Pharmacoinformatics Studies Reveal Potential Phytochemicals Against HCV NS5B Polymerase

Hepatitis C Virus (HCV) is one of the serious health issues affecting onethird of the world's population. The high variations of the HCV genome are ascribed to quick replication by NS5B polymerase and are thus the most attractive target for developing anti-HCV agents. The current study aimed to discover novel phytochemicals that harbor the potential of NS5B polymerase inhibition. In this computational study, a molecular docking approach was used to screen phytochemicals with the best binding and spatial affinity with NS5B at the Palm I region. The topranked compounds were then subjected to an in-silico pharmacokinetic and toxicological study. The virtual screening provided seven 'hit compounds' including Betanin, 3,5'- dihydroxythalifaboramine, Diarctigenin, 6'-desmethylthalifaboramine, Cephalotaxine, 5alpha-O- (3'-dimethylamino-3'-phenylpropionyl) taxinine M and IsoTetrandrine with minimum binding score compared to the reference drug, sofosbuvir (-14.7 kcal/mol). The absorption, distribution, metabolism, excretion, and toxicity (ADMET) and thorough toxicological analysis revealed a favorable safety profile of these compounds. The study demonstrates the identified phytochemicals. These may serve as potential antiviral compounds that can provide an alternative approach for amelioration of HCV.

Poly(rC)-Binding Protein 1 Limits Hepatitis C Virus Virion Assembly and Secretion.

The hepatitis C virus (HCV) co-opts numerous cellular elements, including proteins, lipids, and microRNAs, to complete its viral life cycle. The cellular RNA-binding protein, poly(rC)-binding protein 1 (PCBP1), was previously reported to bind to the 5′ untranslated region (UTR) of the HCV genome; however, its importance in the viral life cycle has remained unclear. Herein, we sought to clarify the role of PCBP1 in the HCV life cycle. Using the HCV cell culture (HCVcc) system, we found that knockdown of endogenous PCBP1 resulted in an overall decrease in viral RNA accumulation, yet resulted in an increase in extracellular viral titers. To dissect PCBP1’s specific role in the HCV life cycle, we carried out assays for viral entry, translation, genome stability, RNA replication, as well as virion assembly and secretion. We found that PCBP1 knockdown did not directly affect viral entry, translation, RNA stability, or RNA replication, but resulted in an overall increase in infectious particle secretion. This increase in virion secretion was evident even when viral RNA synthesis was inhibited, and blocking virus secretion could partially restore the viral RNA accumulation decreased by PCBP1 knockdown. We therefore propose a model where endogenous PCBP1 normally limits virion assembly and secretion, which increases viral RNA accumulation in infected cells by preventing the departure of viral genomes packaged into virions. Overall, our findings improve our understanding of how cellular RNA-binding proteins influence viral genomic RNA utilization during the HCV life cycle.

Heparanase-1 is upregulated by hepatitis C virus and favors its replication

Over time, chronic HCV infection can lead to hepatocellular carcinoma (HCC), a process that involves changes to the liver extracellular matrix (ECM). However, the exact mechanisms by which HCV induces HCC remain unclear. Therefore, we sought to investigate the impact of HCV on the liver ECM, with a focus on heparanase-1 (HPSE). HPSE expression was assessed by quantitative reverse-transcription PCR, immunoblotting and immunofluorescence in liver biopsies infected or not with HCV, and in 10-day-infected hepatoma Huh7.5 cells. Cell lines deficient for or overexpressing HPSE were established to study its role during infection. HCV propagation led to significant HPSE induction, invivo and invitro. HPSE enhanced infection when exogenously expressed or supplemented as a recombinant protein. Conversely, when HPSE expression was downregulated or its activity blocked, HCV infection dropped, suggesting a role of HPSE in the HCV life cycle. We further studied the underlying mechanisms of such observations and found that HPSE favored HCV release by enhancing CD63 synthesis and exosome secretion, but not by stimulating HCV entry or genome replication. We also showed that virus-induced oxidative stress was involved in HPSE induction, most likely through NF-κB activation. We report for the first time that HCV infection is favored by HPSE, and upregulates HPSE expression and secretion, which may result in pathogenic alterations of the ECM. Chronic hepatitis C virus (HCV) infection can lead to hepatocellular carcinoma development in a process that involves derangement of the extracellular matrix (ECM). Herein, we show that heparanase-1, a protein involved in ECM degradation and remodeling, favors HCV infection and is upregulated by HCV infection; this upregulation may result in pathogenic alterations of the ECM.

Complete genome sequencing and evolutionary analysis of hepatitis C virus subtype 6a, including strains from Guangdong Province, China.

We performed an evolutionary analysis using whole genome sequence isolates of hepatitis C virus (HCV) 6a from Guangdong Province and reference sequences from various countries. Less than 5% of the HCV genome was found to be under positive selection. The E1 and E2 proteins had the highest proportion of positively selected sites both within and outside of CD8 T cell epitopes in all of the strains. Regions corresponding to CD8 T cell epitopes were under negative selection except in the isolates from Guangdong. Furthermore, we found evidence of three introductions of the virus into Guangdong from Vietnam and other Southeast Asian countries. Thus, this study provides information about the transmission of HCV 6a by comparison of full-length sequences, indicating the impact of selective constraints in Guangdong and across China.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00705-021-05358-7.

High recombination rate of hepatitis C virus revealed by a green fluorescent protein reconstitution cell system.

Genetic recombination is an important evolutionary mechanism for RNA viruses and can facilitate escape from immune and drug pressure. Recombinant hepatitis C virus (HCV) variants have rarely been detected in patients, suggesting that HCV has intrinsic low recombination rate. Recombination of HCV has been demonstrated in vitro between non-functional genomes, but its frequency and relevance for viral evolution and life cycle has not been clarified. We developed a cell-based assay to detect and quantify recombination between fully viable HCV genomes, using the reconstitution of green fluorescent protein (GFP) as a surrogate marker for recombination. Here, two GFP-expressing HCV genomes carrying different inactivating GFP mutations can produce a virus carrying a functional GFP by recombining within the GFP region. Generated constructs allowed quantification of recombination rates between markers spaced 603 and 553 nucleotides apart by flow cytometry and next-generation sequencing (NGS). Viral constructs showed comparable spread kinetics and reached similar infectivity titers in Huh7.5 cells, allowing their use in co-transfections and co-infections. Single-cycle co-transfection experiments, performed in CD81-deficient S29 cells, showed GFP expression in double-infected cells, demonstrating genome mixing and occurrence of recombination. Quantification of recombinant genomes by NGS revealed an average rate of 6.1 per cent, corresponding to 49 per cent of maximum detectable recombination (MDR). Experiments examining recombination during the full replication cycle of HCV, performed in Huh7.5 cells, demonstrated average recombination rates of 5.0 per cent (40.0 per cent MDR) and 3.6 per cent (28.8 per cent MDR) for markers spaced by 603 and 553 nucleotides, respectively, supporting a linear relationship between marker distance and recombination rates. First passage infections using recombinant virus supernatant resulted in comparable recombination rates of 5.9 per cent (47.2 per cent MDR) and 3.5 per cent (28.0 per cent MDR), respectively, for markers spaced by 603 and 553 nucleotides. We developed a functional cell-based assay that, to the best of our knowledge, allows for the first time detailed quantification of recombination rates using fully viable HCV constructs. Our data indicate that HCV recombines at high frequency between highly similar genomes and that the frequency of recombination increases with the distance between marker sites. These results have implication for our understanding of HCV evolution and emphasize the importance of recombination in the reassortment of mutations in the HCV genome.