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Global inequities in hepatitis B and C genomic surveillance revealed through an interactive data integration dashboard.

OBJECTIVES: To assess global disparities in hepatitis B virus (HBV) and hepatitis C virus (HCV) genomic surveillance and to develop an integrated platform that links genomic data with epidemiological burden. STUDY DESIGN: Retrospective observational analysis. METHODS: We reviewed existing viral genomic repositories to identify structural and analytical limitations. Subsequently, we integrated 10 996 HBV and 3533 HCV whole-genome sequences (WGS) from public databases with Global Burden of Disease (GBD) estimates to quantify inequities in genomic surveillance across countries and genotypes. Using these data, we developed the open-access Hepatitis Dashboard, incorporating >14 000 sequences from 141 countries with GBD metrics to evaluate representativeness and sequencing coverage relative to disease burden. RESULTS: Marked inequities in hepatitis genomic surveillance were identified. Despite increasing HBV- and HCV-associated mortality, virus sequence availability remains geographically and genotypically skewed-dominated by China and the United States, with substantial underrepresentation of HBV genotype E and HCV genotypes 5 and 8. Many high-endemic countries in Africa and the Western Pacific remain severely undersampled. We detected circulating antiviral drug-resistance mutations and developed a burden-adjusted sequencing coverage metric, revealing that several high-burden countries, including China, Nigeria and India, are among the least represented in global genomic datasets. Projections to 2030 indicate that neither HBV nor HCV are currently on track to meet WHO elimination targets. CONCLUSIONS: The Hepatitis Dashboard provides an integrated, continuously updated resource that links genomic and epidemiological data to quantify and visualise global surveillance gaps. This analysis highlights a critical disconnect between sequencing efforts and public health needs, which may limit the effectiveness of surveillance-informed strategies to support progress toward WHO 2030 elimination goals. By enabling burden-adjusted prioritisation and longitudinal tracking of genomic coverage, the platform supports evidence-based sampling strategies, equitable resource allocation, and monitoring of global progress toward hepatitis elimination.

Humans

Whole genome sequencing of unusual Hepatitis C virus subtypes and drug resistance analysis during direct-acting antiviral therapy in India.

INTRODUCTION AND OBJECTIVES: Pangenotypic direct-acting antivirals (DAA) are effective against highly prevalent Hepatitis C virus (HCV) subtypes, but have been clinically validated almost exclusively in high-income countries. Unusual HCV subtypes may carry natural polymorphisms, potentially impacting DAA susceptibility. We conducted full-genome characterization and resistance analysis of unusual HCV subtypes in patients receiving DAA treatment. PATIENTS AND METHODS: In this prospective hospital-based study, eligible patients were screened for anti-HCV antibodies and active infection was confirmed by diagnostic 5'NCR-based HCV RNA detection. Genotyping was performed by core region sequencing, and viral load quantified by real-time PCR. For whole genome sequencing, multiplex primers were designed using alignments of global reference sequences. Sequencing was carried out using the Oxford Nanopore Technology platform. Phylogenetic analysis used multiple sequence alignment and the HCV-GLUE resource for resistance-associated substitution (RAS) analysis. RESULTS: Predominant genotype was genotype 3 in 64.3% (n = 45); genotype 6 in 21.4% (n = 15); and genotype 1 in 14.2% (n = 10). Unusual HCV subtype 6xa was detected in two patients and showed no NS5A resistance mutations. One genotype 3b patient relapsed at 24 weeks post-DAA treatment completion and carried NS5A resistance-associated substitutions 30 K and 31 M both at baseline and at relapse, conferring high-level resistance to NS5A inhibitors. CONCLUSION: This is the first report from India of whole genome sequencing of HCV subtype 6xa. The identification of NS5A resistance mutations in the 3b relapse case underscores challenges for global HCV elimination strategies.

Humans

From Antigenic Drive to Clonal Autonomy: An Update on Molecular Mechanisms of HCV-Related B-Cell Lymphomagenesis.

Chronic hepatitis C virus (HCV) infection is an established risk factor for B-cell lymphoproliferative disorders and represents a paradigmatic model of infection-driven lymphomagenesis. Although direct-acting antivirals have markedly reduced the burden of HCV-related disease, HCV-associated lymphomas continue to occur. Moreover, HCV screening remains incomplete in some geographical areas and healthcare settings, leaving a substantial proportion of infected individuals unaware of their status. This narrative review integrates current evidence on the mechanisms linking chronic HCV infection to mixed cryoglobulinemia and overt B-cell non-Hodgkin lymphoma. HCV lymphotropism and persistent antigenic stimulation could initially promote the selection and expansion of autoreactive B-cell clones, while mixed cryoglobulinemia represents the most informative pre-lymphomatous risk condition. Cytokine-mediated survival signals, particularly those involving B-cell activating factor, reinforce clonal persistence and cooperate with host genetic susceptibility, impaired apoptotic control, and activation-induced cytidine deaminase-mediated genomic instability. The progressive acquisition of somatic driver mutations, copy-number alterations, and epigenetic and transcriptomic changes may enable selected clones to escape functional anergy and become increasingly independent of the original viral stimulus that, in turn, represents an initial trigger of the lymphoproliferative process. Recurrent abnormalities converge on NF-κB, NOTCH, chromatin-regulatory, apoptotic, and cell-cycle pathways, although HCV-associated lymphomas remain molecularly heterogeneous. Emerging microRNA profiles further contribute to the molecular characterization of the transition from chronic infection and cryoglobulinemia to lymphoma. Despite the availability of highly effective antiviral therapies, HCV-associated lymphomagenesis remains clinically relevant and continues to provide an especially informative model for understanding how chronic viral infection can drive human cancer development.

B-cell lymphoproliferative disorders

A G-Quadruplex-Activated Near-Infrared Chemiluminescent Probe for In Situ Hepatic Imaging of the Hepatitis C Virus Genome.

Real-time monitoring of viral replication is essential for infectious disease diagnosis and antiviral drug development. The G-quadruplex (G4), a conserved regulatory element within viral genomes, represents a significant endogenous biomarker for tracking viral activity. However, imaging viral G4s in deep tissues remains a challenge for current optical technologies due to severe photon attenuation and autofluorescence. Herein, we report Lumin680, the first near-infrared (NIR) chemiluminescent probe directly activated by conserved viral G4 conformations. Its chemiluminescence was triggered by parallel G4, emitting in the NIR optical window (680 nm) with a 104.6-fold signal enhancement. Notably, the luminescence of Lumin680 could penetrate up to 1.2 cm of biological tissue, outperforming traditional G4 fluorescent probe. In vivo, Lumin680 enabled the rapid visualization of orthotopic hepatitis C virus (HCV) genome RNA-presenting mini-organ within 5 min post-intravenous administration. Furthermore, the chemiluminescent intensity of Lumin680 quantitatively mapped the therapeutic efficacy of clinical direct-acting antivirals (DAAs) at both the cellular and whole-animal levels, exhibiting high concordance with the gold-standard quantitative RT-PCR (qPCR). This study not only provides a powerful G4 specific chemiluminescent tool but also establishes a novel paradigm for the non-invasive, in situ diagnosis and precise therapeutic monitoring of viral infections.

G-Quadruplexes

Key hub genes and pathways associated with HCV-related hepatocellular carcinoma as potential diagnostic biomarkers.

BACKGROUND: Hepatitis C virus (HCV)-related hepatocellular carcinoma (HCC) remains a major global health challenge, with high morbidity and mortality despite recent therapeutic advances. Early detection and identification of reliable molecular biomarkers are essential to improve patient outcomes. Therefore, the present study aimed to investigate key hub genes and pathways associated with HCV-related HCC as potential diagnostic biomarkers. METHODS: The datasets GSE69715 and GSE62232 were obtained from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were recognized according to an adjusted p-value and a log fold change (logFC). The GEO2R tool facilitated the identification of common DEGs across the two datasets. Pathways were explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) databases. Furthermore, protein-protein interactions (PPIs) were assessed through Cytoscape. The target genes were confirmed through a GEPIA analysis. RESULTS: A total of 421 common DEGs were identified, and 80 hub genes were subsequently determined through GEO and PPI network analyses, respectively. The GO and KEGG pathways analysis presented DEGs were enhanced in metabolic pathways, cellular components, extracellular exosome, detoxification of copper ion and monooxygenase activity. The GEPIA analysis indicated a notable variation in the expression levels of four specific genes -CDKN2A, CDK1, CCNB1, and TOP2A-when comparing normal samples to tumor samples. CONCLUSION: The present study discovered novel genes by expression variation in HCV-related hepatocellular carcinoma development. These findings suggest that CDKN2A, CDK1, CCNB1, and TOP2A are promising candidates for diagnostic biomarkers and present a valuable opportunity for the early identification of HCV-HCC, which could lead to improved treatment outcomes.

Bioinformatics

Serological and Molecular Prevalence of HCMV, HCV, HBV and Toxoplasma gondii Co-infection in Treatment-Naive HIV-Infected Individuals.

INTRODUCTION: Co-infections with human cytomegalovirus (HCMV), hepatitis B virus (HBV), hepatitis C virus (HCV), and Toxoplasma gondii (T. gondii) pose clinical challenges in human immunodeficiency virus-1 (HIV-1)-infected individuals by complicating disease progression and management. This study aimed to investigate the serological and molecular prevalence of HCMV, HBV, HCV, and T. gondii co-infections among treatment-naive HIV-infected individuals. METHODS: A cross-sectional study was conducted from March 2022 to August 2024 on 203 treatment- naive HIV-1-infected individuals. Plasma samples were analyzed using ELISA for serological markers and real-time PCR for molecular detection. Statistical analyses were performed to assess demographic and clinical variables associated with co-infections. RESULTS: Among the 203 participants, the prevalence of anti-HCV antibodies, HBsAg, HCMV IgM, and T. gondii IgM was 9.9%, 2.5%, 1.5%, and 0.5%, respectively. Molecular detection confirmed active HBV, HCV, and HCMV infections in 40%, 60%, and 66.7% of seropositive individuals, respectively, while T. gondii DNA was undetected. HCV genotyping revealed subtype 1a as the most common (50%), followed by 3a (37.5%) and 1b (12.5%). DISCUSSION: The findings indicate a moderate prevalence of HBV and HCV co-infections and a low prevalence of HCMV and T. gondii co-infections in treatment-naive HIV patients. CONCLUSION: These results highlight the need for targeted public health interventions, including vaccination and screening strategies, to reduce the risk of co-infections in HIV-infected individuals.

Humans

Amplification of RNA for identification of Zika and HCV in whole blood.

Direct RNA amplification from whole blood is fundamentally limited by rapid enzymatic degradation and inhibitory matrix effects. Here, we present a blood drying protocol that enables sensitive and robust RNA detection without the need for extraction, purification, or cold-chain logistics. Using whole blood, the platform achieves high detection sensitivity, down to 10 copies per microliter for Zika virus and 1 international unit per microliter for hepatitis C virus (HCV). We further demonstrate that the protocol can be scaled to larger blood volumes and achieve single-copy sensitivity without any sample loss. This is accomplished through thermal treatments of the sample combined with a primer-limited reverse transcription step, which together stabilize RNA within a dried blood matrix and permit spatially resolved enzymatic amplification. The system supports multiplexed detection from a single sample, enabling simultaneous identification of multiple targets. Separately, we introduce a concept wherein the very few copies of the preserved RNA within the matrix can be accessed repeatedly for molecular analysis. Furthermore, we demonstrated the detection of Zika and HCV using a portable fluorometer for point-of-care (POC) uses. With lyophilized reagents and minimal instrumentation such as a heater and an inexpensive portable fluorometer, this platform enables robust, reusable, and field-deployable diagnostics, advancing toward truly accessible on-site RNA testing in urgent care or low-resource settings from whole blood.

Humans

Hepatitis C Virus Enhances Lysosome-Associated Membrane Protein 2 A Transcription Through Nuclear Factor Erythroid 2-Related Factor 2 to Support Viral Replication.

Hepatitis C virus (HCV) establishes persistent infection by rewiring host stress-response pathways. Chaperone-mediated autophagy (CMA) contributes to HCV replication, but it remains unclear whether HCV regulates lysosome-associated membrane protein 2 A (LAMP-2A), the rate-limiting receptor for CMA. Here, we examined LAMP-2A regulation in HCV-infected Huh-7.5 cells. HCV infection increased LAMP-2A promoter activity, mRNA, and protein abundance, indicating transcriptional upregulation. Among candidate stress-responsive transcription factors, nuclear factor erythroid 2-related factor 2 (NRF2), hypoxia-inducible factor 1α (HIF-1α), and nuclear factor of activated T cells 1 (NFAT1) were elevated in infected cells. However, promoter mutagenesis identified NRF2 as the principal direct regulator. Mutation of the NRF2-responsive antioxidant response element markedly reduced basal and HCV-induced LAMP-2A promoter activity. Chromatin immunoprecipitation assays revealed NRF2 association with the LAMP-2A promoter, and HCV infection increased nuclear accumulation and Ser40 phosphorylation of NRF2. Functionally, shRNA-mediated knockdown of LAMP-2A reduced intracellular HCV RNA and protein levels. These findings identify an NRF2-LAMP-2A regulatory axis engaged during HCV infection and support a model in which HCV upregulates LAMP-2A to establish a cellular environment favorable for viral replication.

Hepacivirus

Genetically distinct within-host subpopulations of hepatitis C virus persist after Direct-Acting Antiviral treatment failure.

Analysis of viral genetic data has previously revealed distinct within-host population structures in both untreated and interferon-treated chronic hepatitis C virus (HCV) infections. While multiple subpopulations persisted during the infection, each subpopulation was observed only intermittently. However, it was unknown whether similar patterns were also present after Direct-Acting Antiviral (DAA) treatment, where viral populations were often assumed to go through narrow bottlenecks. Here we tested for the maintenance of population structure after DAA treatment failure, and whether there were different evolutionary rates along distinct lineages where they were observed. We analysed whole-genome next-generation sequencing data generated from a randomised study using DAAs (the BOSON study). We focused on samples collected from patients (N=84) who did not achieve sustained virological response (i.e., treatment failure) and had sequenced virus from multiple timepoints. Given the short-read nature of the data, we used a number of methods to identify distinct within-host lineages including tracking concordance in intra-host nucleotide variant (iSNV) frequencies, applying sequenced-based and tree-based clustering algorithms to sliding windows along the genome, and haplotype reconstruction. Distinct viral subpopulations were maintained among a high proportion of individuals post DAA treatment failure. Using maximum likelihood modelling and model comparison, we found an overdispersion of viral evolutionary rates among individuals, and significant differences in evolutionary rates between lineages within individuals. These results suggest the virus is compartmentalised within individuals, with the varying evolutionary rates due to different viral replication rates and/or different selection pressures. We endorse lineage awareness in future analyses of HCV evolution and infections to avoid conflating patterns from distinct lineages, and to recognise the likely existence of unsampled subpopulations.

Humans

Differential Proteomic Profiling of Responders and Non-responders to Direct-Acting Antivirals Treatment in Chronic Hepatitis C Virus Infection.

Hepatitis C Virus (HCV), particularly genotype 3 (GT-3), is highly prevalent in India and is associated with faster progression to cirrhosis, hepatocellular carcinoma, and higher treatment failure rates. Although Direct-Acting Antivirals (DAAs) have revolutionized HCV therapy, 5-10% of patients fail to achieve sustained virological response (SVR). This proteomic study aimed to identify changes in the proteomic profile before and after treatment of both responders and non-responders to HCV treatment. Paired plasma samples from HCV GT-3 infected patients were collected before and 12 weeks after initiating DAAs treatment, along with healthy controls. Quantitative proteomic analysis was performed on the paired samples. Differentially expressed proteins (DEPs) were identified and subjected to functional analysis including gene set enrichment analysis (GSEA) and protein-protein interaction (PPI) network analysis. GSEA revealed enrichment in extracellular matrix organization and innate immune pathways. Expression patterns of candidate proteins selected based on fold change and false discovery rate (FDR) criteria were further evaluated in an independent cohort. Western blot confirmed key expression trends of candidate proteins. Proteins linked to extracellular matrix remodeling and angiogenesis showed differential expression patterns. Successful validation of these candidate proteins in large independent cohorts holds potential to predict therapeutic outcomes.

Humans

Simultaneous visual detection of multiple viral amplicons by dipstick assay.

A sensitive, simple, and instrument-independent method for the visual detection and identification of multiple nucleic acid amplicons by dipstick has been developed. This method is based on nucleic acid hybridization on the dipstick membrane and a signal amplification system to allow visual detection. With hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus type 1 (HIV-1) as model analytes, it is demonstrated that the visual dipstick test combined with multiplex reverse transcription (RT)-PCR for the amplification of viral nucleic acid provides a specific and sensitive detection method. The RT-PCR products were detected by the dipstick with an efficiency similar to that of a complex, expensive, and instrument-dependent method based on fluorogenic oligonucleotide probes. The detection limits of the dipstick combined with multiplex RT-PCR were 50, 125, and 500 IU/ml for HBV DNA, HCV RNA, and HIV-1 RNA, respectively. The dipstick assay detected with similar efficiencies amplicons derived from strains of HBV genotypes A through F, HCV genotypes 1 to 6, and HIV-1 subtypes A through H as well as CRF02 circulating recombinant forms of HIV-1. Analysis of 295 clinical samples and 19 pools of 10 plasma specimens from blood donors revealed that multiplex dipstick detection was reproducible, sensitive, and specific. The visual dipstick detection of multiple amplicons thus provides an attractive alternative to complex, instrument-dependent detection methods currently in use for nucleic acid testing. This new and sensitive method for nucleic acid detection should increase the availability of genomic screening in resource-limited settings and its applicability to near-patient testing.

DNA, Viral

Conserved host-exclusive oligonucleotide motifs enriched in pathogenic genes of human oncogenic viruses.

Comparative viral genomics can reveal sequence-level constraints influencing virus-host interactions. Relative minimal absent words (rMAWs) are short oligonucleotide motifs present in viral genomes but completely absent from the host, potentially reflecting selective pressures related to host adaptation and immune evasion. Using the EAGLE algorithm and the GRCh38 human reference genome, we systematically screened for prevalent rMAWs (prMAWs) across six major human oncogenic viruses: Epstein-Barr virus (EBV), hepatitis B virus (HBV), hepatitis C virus (HCV), human papillomavirus (HPV), human T-cell leukemia virus type 1 (HTLV-1), and human herpesvirus 8/Kaposi's sarcoma-associated herpesvirus (HHV-8/KSHV). highly conserved 11- and 12-bp prMAWs were identified in EBV, HBV, HTLV-1, and HHV-8/KSHV, with sequence prevalences ranging from 91.5% to 97.9%. Conversely, no short prMAWs were detected in HCV or HPV, likely reflecting differences in genome architecture, mutation rates, and long-term host adaptation to the human host. Importantly, the identified host-exclusive motifs exhibited non-random genomic distribution and were preferentially embedded within viral genes central to replication, persistence, immune modulation, and oncogenesis, including EBNA-1 (EBV), HBx (HBV), Tax-associated regions (HTLV-1), and lytic replication genes of HHV-8/KSHV. Notably, all detected prMAWs were enriched in GC nucleotides and exhibited marked CpG over-representation, suggesting sequence constraints associated with epigenetic regulation and viral persistence. Collectively, these highly conserved, host-exclusive signatures offer promising, candidates for sequence-directed approaches in the diagnosis, monitoring, and investigation of virus-associated cancers.

Humans

A unified benchmark of supervised and retrieval-based methods for viral genomic sequence classification.

The rapid growth of genomic sequencing demands fast, accurate, and scalable analysis methods. In viral genomic classification, expanding labeled reference collections can make supervised models costly to update and dependent on fixed label sets, motivating retrieval-based genomic classification as a simpler, more flexible alternative. We present a unified benchmark of supervised and retrieval-based methods for viral genomic sequence classification across three viral classification tasks: hepatitis C virus (HCV) genotyping, COVID-19 discrimination, and human papillomavirus (HPV) genotyping. We compare standard sequence encodings (one-hot, k-mers, FCGR) with dense embeddings (dna2vec, DNABERT). For each representation, we evaluate supervised classifiers (Random Forest, Decision Tree, XGBoost) and retrieval-based classification, where sequence vectors are indexed with FAISS and labels are assigned via similarity-weighted k-NN. Furthermore, we benchmark multiple FAISS index types (Flat, IVF, HNSW, IVFPQ, OPQ) to characterize accuracy-speed-memory trade-offs at scale. The results show that XGBoost and retrieval using Flat or IVF indexes achieve strong classification performance under different computational profiles. Compressed indexes such as IVFPQ and OPQ substantially reduce memory usage, although their accuracy loss depends on the dataset and representation. Overall, supervised XGBoost provides a favorable accuracy-size trade-off, while retrieval-based classification remains competitive and allows labeled reference sequences to be incorporated without retraining a global classifier. This benchmark provides practical guidance for selecting sequence representations, classifiers, and vector-search indexes under different accuracy, memory, and update requirements.

Genome, Viral

A novel dimerization site in non-structural protein 5A of hepatitis C virus regulates viral replication fitness.

We previously found that high genome replication fitness of the hepatitis C virus (HCV) was associated with severe disease in immunocompromised patients. Elevated replication fitness was mediated by accumulation of mutations in the replication enhancing domain (ReED) within domain (D) 2 of non-structural protein (NS) 5A. NS5A is a partially unstructured phosphoprotein lacking enzymatic activity but fulfilling a key role in HCV replication due to interacting with various cellular and viral proteins. It can exist in a variety of dimeric and oligomeric conformations mediated by NS5A D1 with clinically approved NS5A inhibitors proposed to exert their antiviral function by fixing these dimers in distinct conformations. In this study, we aimed at elucidating the ReED's mode of action. AlphaFold modelling indicated a so far unrecognized NS5A dimerization site in the ReED. Indeed, split nano luciferase assays revealed a significantly stronger NS5A dimerization of high replicator ReED variants, suggesting that high replication fitness is mediated by enforcement of NS5A self-interaction. This hypothesis was supported by the effect of low dose (1 pM) NS5A inhibitor treatment, increasing replication fitness and phenocopying the effects of ReED mutations. Furthermore, we found that HCV isolate JFH1, replicating with very high efficiency, is completely resistant to the regulatory function of the ReED. Chimeric replicons composed of ReED resistant JFH1 and the ReED sensitive isolate J6 identified NS3 helicase and NS5B polymerase as critical genetic elements mediating ReED sensitivity/resistance. Our data overall suggest that the ReED in NS5A is a negative regulator of HCV replication fitness with dimerization releasing the inhibitory interaction with helicase and/or polymerase, thereby likely facilitating initiation of RNA synthesis.

Viral Nonstructural Proteins

Scorpion venom peptides: Novel therapeutic approaches for inflammatory and hepatic disorders.

Chronic hepatic disorders, such as metabolic dysfunction associated steatohepatitis (MASH), alcohol associated liver disease (ALD), and viral hepatitis (Hepatitis B virus [HBV]/Hepatitis C virus [HCV]), are primarily driven by persistent immune-mediated inflammation and hepatic stellate cell activation leading to fibrosis, yet conventional therapies lack tissue and molecular specificity. Scorpion venom peptides, refined through evolutionary selection, provide highly potent, target specific scaffolds capable of modulating intrahepatic inflammatory networks. Recent in vivo preclinical studies indicate that voltage gated potassium (Kv1.3) channel blocking peptides, such as BmKK2, significantly reduce macrophage activation and inhibit downstream cytokine production, effectively ameliorating diet-induced steatohepatitis and tissue scarring in murine models. Engineered hepatotropic candidates, such as Smp76 and Mucroporin-M1, demonstrate dual therapeutic functions: they neutralize extracellular Hepatitis C particles and suppress key host transcription factors necessary for Hepatitis B replication. This review systematically examines scorpion venom peptides organized by disease category, covering their historical development, structural classification into disulfide-bridged and non-disulfide-bridged families, ion channel specificity, hepatic anti-inflammatory and antiviral mechanisms, and translational challenges including nano-formulation delivery strategies and computational drug design. These target-specific peptides are ultimately positioned as promising molecular leads that may bridge targeted immunomodulation with the resolution of chronic, progressive liver injury.

Anti-inflammatory effects

Comprehensive Analysis of Clinical and Molecular Features in Cancer Patients Associated With Major Human Oncoviruses.

Viral infections contribute to a higher incidence of cancer than any other individual risk factor. This study aimed to compare the clinical and molecular features of four viral-associated cancers: stomach adenocarcinoma (STAD), head and neck squamous cell carcinoma (HNSC), liver hepatocellular carcinoma (LIHC), and cervical squamous cell carcinoma (CESC). Patients were categorized based on viral infection status, as provided in the clinical data, into virus-associated and non-virus-associated groups, followed by a comprehensive comparison of clinical and molecular features. Our analysis disclosed that viral infections confer unique clinical and molecular signatures to their associated tumors. Specifically, human papillomavirus-associated (HPV+) HNSC and hepatitis B virus-associated (HBV+) LIHC patients were predominantly male, younger, and exhibited better clinical prognoses. Virus-associated tumors displayed enhanced immune microenvironments and high DNA damage response scores, while non-virus-associated tumors were enriched in stromal signatures. HPV+ HNSC and Epstein-Barr virus-associated (EBV+) STAD showed similarities across multi-omics features, including better responses to immunotherapy, lower TP53 mutation rates, tumor mutation burden (TMB), and copy number alteration (CNA). Conversely, HBV+, Hepatitis C virus-associated (HCV+) LIHCs and HPV+ CESC were more genomically unstable due to high TP53 mutation rates, TMB, and CNA. At the protein level, Caspase-7 and Syk were upregulated in HPV+ HNSC and EBV+ STAD, and positively correlated with the enrichment levels of CD8 + T cell, PD-L1, and cytolytic activity. Patient stratification based on infection status has significant clinical implications, particularly for patient prognosis and drug response.

Humans

Antigenic relationship of the feline infectious peritonitis virus to coronaviruses of other species.

Utilizing the direct and indirect fluorescent antibody procedure, the antigenic relationship of the feline infectious peritonitis virus (FIPV) to 7 other human and animal coronaviruses was studied. FIPV was found to be closely related to transmissible gastroenteritis virus (TGEV) of swine. Transmissible gastroenteritis virus and FIPV were in turn antigenically related to human coronavirus 229E (HCV-229E) and canine coronavirus (CCV). An interesting finding in the study was that the 8 coronaviruses selected for this study fell into one of two antigenically distinct groups. Viruses in each group were antigenically related to each other to varying degrees, but were antigenically unrelated to coronaviruses of the second group. The first antigenically related group was comprised of mouse hepatitis virus, type 3 (MHV-3), hemeagglutinating encephalomyelitis virus 67N (HEV-67N) of swine, calf diarrhea coronavirus (CDCV), and human coronavirus 0C43 (HCV-OC43). The second antigenically related group was comprised of FIPV, TGEV, HCV-229E and CCV.

Antigens, Viral

Inhibition of the protein kinase PKR by the internal ribosome entry site of hepatitis C virus genomic RNA.

Translation of the hepatitis C genome is mediated by internal ribosome entry on the structurally complex 5' untranslated region of the large viral RNA. Initiation of protein synthesis by this mechanism is independent of the cap-binding factor eIF4E, but activity of the initiator Met-tRNA(f)-binding factor eIF2 is still required. HCV protein synthesis is thus potentially sensitive to the inhibition of eIF2 activity that can result from the phosphorylation of the latter by the interferon-inducible, double-stranded RNA-activated protein kinase PKR. Two virally encoded proteins, NS5A and E2, have been shown to reduce this inhibitory effect of PKR by impairing the activation of the kinase. Here we present evidence for a third viral strategy for PKR inhibition. A region of the viral RNA comprising part of the internal ribosome entry site (IRES) is able to bind to PKR in competition with double-stranded RNA and can prevent autophosphorylation and activation of the kinase in vitro. The HCV IRES itself has no PKR-activating ability. Consistent with these findings, cotransfection experiments employing a bicistronic reporter construct and wild-type PKR indicate that expression of the protein kinase is less inhibitory towards HCV IRES-driven protein synthesis than towards cap-dependent protein synthesis. These data suggest a dual function for the viral IRES, with both a structural role in promoting initiation complex formation and a regulatory role in preventing inhibition of initiation by PKR.

Animals