Adaptation of hepatitis C virus to interferon lambda polymorphism across multiple viral genotypes

The role of IFNL4 in liver inflammation and progression of fibrosis

The discovery that genetic variation within the interferon lambda locus has a profound effect on the outcome of hepatitis C virus (HCV) treatment and spontaneous clearance of HCV is one of the great triumphs of genomic medicine. Subsequently, the IFNL4 gene was discovered and proposed as the causal gene underlying this association. However, there has been a lively debate within the field concerning the causality, which has been further complicated by a change in naming. This review summarizes the genetic data available for the IFNL3/IFNl4 loci and provides an in-depth discussion of causality. We also discuss a new series of interesting data suggesting that the genetic variation at the IFNL4 loci influences the evolution of the HCV virus and the implication this relationship between our genetic makeup and virus evolution has upon our understanding of the IFNL4 system. Finally, new data support an influence of the IFNL4 gene upon liver inflammation and fibrosis that is independent of etiology, thereby linking the IFNL4 gene to some of the major liver diseases of today.

The Evolutionary Dynamics and Epidemiological History of Hepatitis C Virus Genotype 6, Including Unique Strains from the Li Community of Hainan Island, China

Hepatitis C virus (HCV) is a highly diverse pathogen that frequently establishes a chronic long-term infection, but the origins and drivers of HCV diversity in the human population remain unclear. Previously unidentified strains of HCV genotype 6 (gt6) were recently discovered in chronically infected individuals of the Li ethnic group living in Baisha County, Hainan Island, China. The Li community, who were early settlers on Hainan Island, have a distinct host genetic background and cultural identity compared to other ethnic groups on the island and mainland China. In this report, we generated 33 whole virus genome sequences to conduct a comprehensive molecular epidemiological analysis of these novel gt6 strains in the context of gt6 isolates present in Southeast Asia. With the exception of one gt6a isolate, the Li gt6 sequences formed 3 novel clades from two lineages which constituted 3 newly assigned gt6 subtypes and 30 unassigned strains. Using Bayesian inference methods, we dated the most recent common ancestor for all available gt6 whole virus genome sequences to approximately 2767 BCE (95% HPD intervals, 3670 to 1397 BCE), which is far earlier than previous estimates. The substitution rate was 1.20 x 10-4 substitutions/site/year (s/s/y) and this rate varied across the genome regions, from 1.02 x 10-5 s/s/y in the 5ʹUTR region to 3.07 x 10-4 s/s/y in E2. Thus, our study on an isolated ethnic minority group within a small geographical area of Hainan Island has substantially increased the known diversity of HCV gt6, already acknowledged as the most diverse HCV genotype. The extant HCV gt6 sequences from this study were probably transmitted to the Li through at least three independent events dating perhaps from around 4000 years ago. This analysis describes deeper insight into basic aspects of HCV gt6 molecular evolution including the extensive diversity of gt6 sequences in the isolated Li ethnic group.

Immunological lessons from genome-wide association studies of infections

Over the past few years, genome-wide association studies (GWAS) have been increasingly applied to identify host genetic factors influencing clinical and laboratory traits related to immunity and infection, and to understand the interplay between the host and the microbial genomes. By screening large cohorts of individuals suffering from various infectious diseases, GWAS explored resistance against infection, natural history of the disease, development of life-threatening clinical signs, and innate and adaptive immune responses. These efforts provided fundamental insight on the role of major genes in the interindividual variability in the response to infection and on the mechanisms of the immune response against human pathogens both at the individual and population levels.

The influence of human genetic variation on Epstein-Barr virus sequence diversity

Epstein-Barr virus (EBV) is one of the most common viruses latently infecting humans. Little is known about the impact of human genetic variation on the large inter-individual differences observed in response to EBV infection. To search for a potential imprint of host genomic variation on the EBV sequence, we jointly analyzed paired viral and human genomic data from 268 HIV-coinfected individuals with CD4 + T cell count < 200/mm3 and elevated EBV viremia. We hypothesized that the reactivated virus circulating in these patients could carry sequence variants acquired during primary EBV infection, thereby providing a snapshot of early adaptation to the pressure exerted on EBV by the individual immune response. We searched for associations between host and pathogen genetic variants, taking into account human and EBV population structure. Our analyses revealed significant associations between human and EBV sequence variation. Three polymorphic regions in the human genome were found to be associated with EBV variation: one at the amino acid level (BRLF1:p.Lys316Glu); and two at the gene level (burden testing of rare variants in BALF5 and BBRF1). Our findings confirm that jointly analyzing host and pathogen genomes can identify sites of genomic interactions, which could help dissect pathogenic mechanisms and suggest new therapeutic avenues.

Association of Mutations in the NS5A-PKRBD Region and IFNL4 Genotypes with Hepatitis C Interferon Responsiveness and its Functional and Structural Analysis

Background:

The cellular antiviral responses induced by interferons require some cellular protein kinase for its activation. Evidence indicated that a number of Hepatitis C Virus (HCV) proteins can repress double-stranded (ds) RNA-dependent Protein Kinase (PKR) function and help HCV to escape. However, the reports are controversial, some researchers have suggested that a region in Nonstructural 5A (NS5A) gene called Protein Kinase R-Binding Domain (PKR-BD) is associated with HCV sensitivity to the antiviral effects of Interferon (IFN). In addition, the other factor that might be associated with response to PEGylated-IFNα (Peg-IFNα) and Ribavirin (RBV) combination therapy, is IFNL4 genotypes.

Objective:

The aim of this study was to investigate the association between amino acid (aa) substitutions in the NS5A region and the IFNL4 genotypes in two Single Nucleotide Polymorphism (SNP) (rs8099917. rs12979860) in patients with HCV genotypes 1a and 3a. We also examined their response to combination therapy and the effect of these mutations on the function and structure of PKR-BD.

Methods:

Eighty-six patients with hepatitis C were recruited and follow-up for 6 months. Several tests, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), viral load, IFNL4 genotyping, and PKR-BD sequencing were performed. Using several well-known and trustworthy bioinformatics tools, sequences were analyzed to define physio-chemical properties, structural features, immune epitopes and protein-protein interaction.

Results:

Of the 86 patients, 65.1% had high viral load at baseline, 64% had CT genotype for rs12979860 and 57% had GT genotype for rs8099917. Several aa residues changes were found in the PKR-BD region. We could not find any link between mutations in the PKR-BD region and different genotypes of IFNL4 in response to antiviral therapy. Regardless of pI, PKR-BD 1a and 3a showed similar physio-chemical properties, and 2 phosphorylation sites and one glycosylation site were estimated for both PKR-BD 1a and 3a. Trustworthy software were employed in order to predict B-cell epitopes, 3 regions (6-17, 26-32, 34-41) were found for both proteins, indicating a huge potential of PKR-BD protein to induce humoral immune system. Docking analysis determined non-responder sequences in both 1a and 3a genotypes to have higher energy value and are more compatible with PKR.

Conclusion:

To sum up, our results could not determine any significant relationship between mutations of PKR-BD and genotypes of IFNL4 with other factors; ALT, AST, viral load. However, docking results showed strengthened interaction between PKR-BD and PKR in non-responders that could have a momentous impact on the illness severity.

An interferon lambda 4-associated variant in the hepatitis C virus RNA polymerase affects viral replication in infected cells

Host IFNL4 haplotype status contributes to the development of chronic hepatitis C virus (HCV) infection in individuals who are acutely infected with the virus. In silico studies revealed that specific amino acid variants at multiple sites on the HCV polyprotein correlate with functional single-nucleotide polymorphisms (SNPs) in the IFNL4 locus. Thus, SNPs at the IFNL4 locus may select variants that influence virus replication and thereby the outcome of infection. Here, we examine the most significantly IFNL4-associated amino acid variants that lie in the 'lambda (L) 2 loop' of the HCV NS5B RNA polymerase. L2 loop variants were introduced into both sub-genomic replicon and full-length infectious clones of HCV and viral replication was examined in the presence and absence of exogenous IFNλ4. Our data demonstrate that while mutation of the NS5B L2 loop affects replication, individual IFNL4-associated variants have modest but consistent effects on replication in both the presence and absence of IFNλ4. Given the strong genetic association between these variants and IFNL4, these data suggest a nuanced effect of each individual position on viral replication, the combined effect of which might mediate resistance to the effects of IFNλ4.

Polymorphism rs368234815 of interferon lambda 4 gene and spontaneous clearance of hepatitis C virus in haemodialysis patients: a case-control study

BACKGROUND

In non-uremic subjects, IFNL4 rs368234815 predicts HCV clearance. We investigated whether rs368234815 is associated with spontaneous HCV clearance in haemodialysis patients and whether it is a stronger predictor of HCV resolution than the IFNL polymorphisms already associated with HCV clearance in dialysis subjects. We also evaluated an association of rs368234815 with patients` survival and alterations in transcription factor binding sites (TFBS) caused by IFNL polymorphisms.

METHODS

Among 161 haemodialysis patients with positive anti-HCV antibodies, 68 (42.2%) spontaneously resolved HCV infection, whereas 93 remained HCV RNA positive. Patients were tested for near IFNL3 rs12980275, IFNL3 rs4803217, IFNL4 rs12979860, IFNL4 rs368234815, and near IFNL4 rs8099917. IFNL4 rs368234815 polymorphism (TT/TT, ΔG/TT, ΔG/ΔG) was genotyped by restriction fragment length polymorphism analysis; other IFNL polymorphisms - by high resolution melting curve analysis. We used the Kaplan-Meier method with the log-rank test for survival analysis. In silico analysis included the use of ENCODE TFBS ChIP-seq data, HOCOMOCO, JASPAR CORE, and CIS-BP databases, and FIMO software.

RESULTS

The probability (OR, 95%CI, P) of spontaneous HCV clearance for rs368234815 TT/TT patients was higher than for the ΔG allele carriers (2.63, 1.38-5.04, 0.003). This probability for other major homozygotes varied between 2.80, 1.45-5.43, 0.002 for rs12980275 and 2.44, 1.27-4.69, 0.007 for rs12979860. In the additive model, rs368234815 TT/TT was the strongest predictor of HCV clearance (6.38, 1.69-24.2, 0.003). Survival analysis suggested an association of the ΔG allele with mortality due to neoplasms (log-rank P = 0.005). The rs368234815 ∆G allele caused TFBS removal for PLAGL1.

CONCLUSIONS

In haemodialysis patients, the association of rs368234815 with the spontaneous HCV clearance is better than that documented for other IFNL3/IFNL4 polymorphisms only in the additive mode of inheritance. However, identifying the homozygosity in the variant ∆G allele of rs368234815 means a more potent prediction of persistent HCV infection in haemodialysis subjects that we observe in the case of the variant homozygosity of other tested IFNL3/IFNL4 polymorphisms. Removal of PLAGL1 TFBS in subjects harbouring the rs368234815 ∆G allele may contribute to cancer susceptibility. The association of rs368234815 with cancer-related mortality needs further studies in HCV-exposed subjects.

HIV-1 and human genetic variation

Over the past four decades, research on the natural history of HIV infection has described how HIV wreaks havoc on human immunity and causes AIDS. HIV host genomic research, which aims to understand how human genetic variation affects our response to HIV infection, has progressed from early candidate gene studies to recent multi-omic efforts, benefiting from spectacular advances in sequencing technology and data science. In addition to invading cells and co-opting the host machinery for replication, HIV also stably integrates into our own genome. The study of the complex interactions between the human and retroviral genomes has improved our understanding of pathogenic mechanisms and suggested novel preventive and therapeutic approaches against HIV infection.

Exploring the interactions between the human and viral genomes

Over the last decade, genome-wide association studies led to major advances in identifying human genetic variants associated with infectious disease susceptibility. On the pathogen side, comparable methods are now applied to identify disease-modulating pathogen variants. As host and pathogen variants jointly determine disease outcomes, the most recent development has been to explore simultaneously host and pathogen genomes, through so-called genome-to-genome studies. In this review, we provide some background on the development of genome-to-genome analysis and we detail the first wave of studies in this emerging field, which focused on patients chronically infected with HIV and hepatitis C virus. We also discuss the need for novel statistical methods to better tackle the issues of population stratification and multiple testing. Finally, we speculate on future research areas where genome-to-genome analysis may prove to be particularly effective.

Human Herpesvirus Sequencing in the Genomic Era: The Growing Ranks of the Herpetic Legion

The nine human herpesviruses are some of the most ubiquitous pathogens worldwide, causing life-long latent infection in a variety of different tissues. Human herpesviruses range from mild childhood infections to known tumour viruses and 'trolls of transplantation'. Epstein-Barr virus was the first human herpesvirus to have its whole genome sequenced; GenBank now includes thousands of herpesvirus genomes. This review will cover some of the recent advances in our understanding of herpesvirus diversity and disease that have come about as a result of new sequencing technologies, such as target enrichment and long-read sequencing. It will also look at the problem of resolving mixed-genotype infections, whether with short or long-read sequencing methods; and conclude with some thoughts on the future of the field as herpesvirus population genomics becomes a reality.

What makes the hepatitis C virus evolve?

Polymorphisms in the IFNL4 gene that affect both the presence and the form of the coded protein are associated with changes in the hepatitis C virus.