Virologica Sinica

Japanese encephalitis virus (JEV) causes significant encephalitis across the Asia-Pacific region. Current vaccines target historical genotype III strains, but emerging genotypes,potentially driven by vaccine-mediated selective pressure, threaten vaccine effectiveness through altered envelope protein sequences that may reduce antibody cross-neutralisation. This study employed integrated sequence and structural analyses to identify E protein mutations affecting neutralising antibody binding and protein stability. The study curated JEV polyprotein sequences from NCBI, performed multiple sequence alignment, and used Shannon entropy to pinpoint highly variable positions. Mutations occurring at [≥]1% frequency within high-entropy regions were selected for analysis. From 34 initially identified mutations, four candidates were prioritized based on structural stabilization potential. Mutations were evaluated through FoldX stability predictions, molecular docking with antibody 2H4 using HADDOCK3, and molecular dynamics simulations. Binding energies were calculated using MM-GBSA analysis. Results demonstrated that all mutant E-2H4 complexes remained stable during simulations, with root-mean-square deviation plateauing after equilibration and minimal localized changes in root-mean-square fluctuation. These findings suggest that EDIII substitutions represent important candidates for further investigation to understand genotype-specific variations and inform next-generation vaccine development strategies against emerging JEV strains.

Influenza A virus (IAV) causes significant morbidity and mortality worldwide. Understanding how viral RNAs may regulate host genes through microRNA-like mechanisms can clarify pathogenesis and reveal therapeutic targets. In this study, we screened all eight IAV H3N2 RNA segments (PB2, PB1, PA, HA, NP, NA, M, and NS) using an ab initio computational pipeline; five segments (PB2, PB1, PA, HA, and M) met the VMir scoring threshold for further analysis, while NP, NA, and NS were excluded due to low pre-miRNA scores. Mature miRNAs were identified using MatureBayes, and target genes in the human genome were predicted with the miRDB server. From these targets, we selected two genes per qualifying segment (10 genes total) based on their functional relevance to influenza infection and supporting literature; all selected genes are unique to their respective segment. We identified 10 segment-specific target genes (IFNL1, DDX60, SAMHD1, MAVS, IRF4, BIRC2, AGO1, MAP3K1, NOD1, and TNFAIP1) and one common target across all five analyzed segments (CADM2). Gene Ontology and pathway analyses showed enrichment in interferon signaling, RIG-I-like receptor pathways, antiviral restriction, RNA interference, and inflammatory responses. Literature supports roles for these genes in pulmonary and antiviral innate immunity. Our findings provide a basis for experimental validation and may help the research community better understand influenza virus pathogenesis and identify novel therapeutic candidates. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/725090v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@2b14adorg.highwire.dtl.DTLVardef@5a9b2eorg.highwire.dtl.DTLVardef@81ffc1org.highwire.dtl.DTLVardef@be119b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Bunyamwera virus (BUNV) is the prototypical member of the Peribunyaviridae family of arthropod-borne viruses and possesses a genome comprising three segments of negative-sense RNA, named small, medium and large. The medium segment encodes a polyprotein that is processed to form Gn and Gc spikes and a non-structural protein, NSm. The role of NSm during replication in mammalian cells is poorly characterized, although it associates with a Golgi-derived structure called the virus factory (VF), the site of BUNV genome replication and virion assembly. To further define NSm function, we generated an epitope-tagged BUNV and used co-immunoprecipitation and quantitative proteomics to identify host interacting partners. NSm interacted with BCL-2 interacting protein 1 (BNIP1), a SNARE protein involved in COPI vesicle trafficking, with the importance of this interaction demonstrated by siRNA-mediated knockdown of BNIP1 expression, which significantly reduced BUNV gene expression and virion production. Interestingly, NSm also interacted with components of the NRZ complex, involved in COPI vesicle tethering in association with BNIP1, and inhibition of COPI complex formation resulted in loss of NSm expression. Taken together, our results identify BNIP1 as a host cell factor necessary for efficient BUNV replication and suggest the cellular localization of NSm at the VF is COPI-dependent.

Herpes simplex virus type 1 (HSV-1) is a common human pathogen that undergoes lytic replication in epithelial and other permissive cell types and can establish latency in peripheral neurons. ICP22 is a multifunctional HSV-1 immediate-early protein that localizes to the nucleus of infected cells; however, its interactions with host cellular factors remain incompletely understood. Here, ICP22 was demonstrated to interact with the human antisense function 1 protein (ASF1), including both ASF1a and ASF1b, in transfected cells and HSV-1-infected cells, respectively. ICP22 also colocalized with ASF1 in the nucleus. ICP22 amino acids 213 to 340 are important for the interaction of ICP22 with ASF1, whereas amino acids 37 to 153 of ASF1a and ASF1b are critical for their interactions with ICP22. Furthermore, ICP22 expression was associated with reduced ASF1-H3.1 co-immunoprecipitation under the tested conditions. ASF1 knockdown also reduced HSV-1-BAC-Luc luciferase output, indicating that ASF1 contributes to efficient infection-associated reporter activity in this study. Collectively, these results indicate that the interaction of HSV-1 ICP22 with ASF1 might help regulate the transcription of viral or cellular genes during HSV-1 infection. Keywords: HSV-1, ICP22, ASF1, histone H3.

Zika virus (ZIKV) is an arthropod-borne flavivirus of international public health impact. ZIKV has a positive-sense, single-stranded RNA genome and remodels intracellular membranes to form replication complexes (RCs). The objective of this study was to isolate and characterize the RCs from ZIKV-infected cells and to identify host-cell components recruited to participate in viral replication. Here, we isolated the RCs from ZIKV-infected Vero cells by detergent treatment and flotation centrifugation. Fractional flotation analysis demonstrated that ZIKV proteins NS2B, NS3, and NS5, and ZIKV RNA were present in the detergent-resistant membranous fraction. In contrast, the ER-resident protein calnexin and a mitochondrial protein were present in the detergent-soluble fractions. The isolated RCs were functional for ZIKV RNA synthesis, as shown by quantitative PCR. To determine the components of the RCs, we conducted mass spectrometry analysis and identified numerous cellular proteins. Among them is the replication factor C subunit 2 (RFC2), an accessory protein of DNA polymerase. RFC2 is involved in ATP binding and hydrolysis and may promote cell survival. ZIKV infection increased the RFC2 protein level and induced its relocation to the cytoplasm. RNAi-mediated silencing of RFC2 reduced ZIKV replication. Together, our results provide insights into ZIKV replication and virus-cell interaction.

Tomato yellow leaf curl virus (TYLCV) is a devastating viral pathogen threatening agricultural crops globally. In this study, we identified a novel TYLCV isolate (TYLCV-YN6244), which caused viral epidemic in resistant tomato cultivars at Yuanmo county, Yunnan Province of China. We determined the complete genome of TYLCV-YN6244 and found it encoded six viral proteins characteristic of Geminivirus. We identified its V2 protein as a potent viral suppressor of RNA silencing (VSR), and generated infectious clone of wildtype TYLCV-YN6244, or V2-defective TYLCV-YN6244 (TYLCV-YN6244-{Delta}V2) in which V2 was deleted. Both of infectious clones were capable of systemically infecting tobacco and tomato. However, TYLCV-YN6244 but not TYLCV-YN6244-{Delta}V2 could cause disease symptoms in wildtype tobacco or tomato plants, and viral accumulation was drastically reduced in plants infected with TYLCV-YN6244-{Delta}V2 compared to TYLCV-YN6244 while the efficiency of virus-derived small interfering RNAs (vsiRNAs) biogenesis was conversely increased in plants infected with TYLCV-YN6244-{Delta}V2. Surprisingly, small RNA profiling indicated that 21nt and 22nt rather than 24nt vsiRNAs were predominantly produced in tomato plants infected with either TYLCV-YN6244 or TYLCV-YN6244-{Delta}V2. Furthermore, transcriptome analyses revealed that TYLCV-YN6244 or TYLCV-YN6244-{Delta}V2 infection differentially modulated metabolism and defense-related pathways in tomato, probably underlying distinct viral pathogenicity and disease symptoms induced in plants. Overall, our research not only identified a novel pathogenic TYLCV isolate but also characterized molecular biology and host response in tomato with infectious clones firstly developed, with implications in untangling virus-host interaction for developing novel resistance in crop tomato.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has continuously evolved since its emergence in the human population in 2019. As of 1st August 2025, more than 1,700 Omicron subvariants have been designated by the Pango nomenclature system. The Pango nomenclature system designates a new lineage based on genetic and epidemiological information of SARS-CoV-2 strains. However, there is a possibility that strains that have similar genetic backgrounds and the same phenotype are given different Pango lineage names. In this paper, we propose a new algorithm, called FindPart-w, which can identify groups of viral lineages that share the same relative effective reproduction numbers. We introduced a new lineage replacement model, called the constrained RelRe model, which constrains groups of lineages to have the same relative effective reproduction numbers. The FindPart-w algorithm searches the equality constraints that minimise the Akaike Information Criterion of constrained RelRe models. Using hypothetical observation count data created by simulation, we found that the FindPart-w algorithm can identify groups of lineages having the same relative effective reproduction number in a practical computational time. Applying FindPart-w to actual real-world data of time-stamped lineage counts from the United States, we found that the Pango lineage nomenclature system may have given different lineage names to SARS-CoV-2 strains even if they have the same relative effective reproduction number and similar genetic backgrounds. In conclusion, this study showed that viruses that had the same relative effective reproduction number were identifiable from temporal count data of viral sequences. These findings will contribute to the future development of lineage designation systems that consider both genetic backgrounds and transmissibilities of lineages.

Immediate-early protein IE1 is an essential protein of baculoviruses that is involved in transcription and replication. In the present study, we provide several lines of evidence for how ancient IE1 evolved into its current version. Using progressive truncations and site-directed mutations coupled with fluorescence microscopy, surprisingly, we showed that the previously identified nuclear localization sequence (NLS), basic domain II, was essential for sequence non-specific DNA binding, but not required for IE1 nuclear import, and demonstrated that, BmNPV IE1 (BmIE1) possesses not only a unique bipartite NLS that contains a monopartite NLS but also a cryptic non-canonical NLS that is correlated with sequence non-specific DNA binding. The non-canonical NLS alone was sufficient to launch infection. We also found that N-terminally truncated IE1 can enter the nucleus through its sequence non-specific binding ability. Remarkably, the monopartite NLS, when fused to the N-terminus of EGFP, can form a novel NLS that is also functional in a mammalian cell line. Moreover, residues 58 to 151 of BmIE1 were shown to be dispensable, and residue 152 was found to be critical for launching a productive infection. To gain insight into how ancient IE1 acquired its multi-functionality, we reorganized the N-terminal 23 aa and 132 aa of BmIE1 with EGFP in a variety of manners and found that both fragments are separable and transferable. Notably, we observed that the nuclear levels of BmIE1 should reach certain thresholds to initiate infection. Additionally, we found that BmNPV could launch infection more efficiently in a BmN cell line over another BmN cell line by increasing transcription levels of immediate early genes. Collectively, these findings suggest a hypothesis where ancient IE1 might have evolved the two additional NLSs and acquired the N-terminal 132 aa through gene fusion so as to reach infection-initiating thresholds at a faster pace. Author SummaryBasic domain II was previously shown to be the NLS of AcMNPV IE1 protein. In the present study, we demonstrated that it is essential for sequence non-specific DNA binding, but not required for IE1 nuclear import, and found that BmNPV IE1 (BmIE1) possesses not only a unique bipartite NLS that contains a monopartite NLS but also a cryptic non-canonical NLS that is correlated with sequence non-specific DNA binding. We also found that N-terminally truncated BmIE1 can enter the nucleus through its sequence non-specific binding ability. Remarkably, the monopartite NLS, when fused to the N-terminus of EGFP, can form a novel NLS that is also functional in a mammalian cell line. Moreover, the domains of BmIE1 was shown to be separable and transferable. We also demonstrated that higher expression of functionally impaired BmIE1 achieved by higher MOIs or higher transfection efficiency can partially complement its compromised functions. Consistently, we found that BmNPV could launch infection more efficiently in a BmN cell line over another BmN cell line by increasing transcription levels of immediate early genes.

Classical swine fever (CSF) is a highly contagious disease caused by Classical swine fever virus (CSFV), posing a serious threat to the global swine industry. This study aimed to investigate the effect of CSFV on differential genes of histone lactylation at the H3K18 site in the PI3K-AKT signaling pathway. The site with the most significant change in histone lactylation antibody level was screened by Western blot. Omics analysis was performed using CUT&Tag technology to identify differential genes in the PI3K-AKT pathway between the CSFV-infected group and the mock group, followed by validation using RT-qPCR. Functional analysis of significantly differential proteins was conducted, and the protein expression level of THBS4 was detected by Western blot. The results showed that after CSFV infection of 3D4/21 cells, the H3K18la site exhibited the most significant difference in antibody level. A total of 8,859 differential genes at the H3K18la site were identified by CUT&Tag analysis, including 6,349 up-regulated genes and 2,510 down-regulated genes. Further focusing on the PI3K-AKT signaling pathway, 10 differential genes were identified, comprising 6 up-regulated genes and 4 down-regulated genes. Compared with the control group, the mRNA expression levels of CD19, LAMA1, PDGFRA, BDNF, ANGPT4, and THBS4 were up-regulated in the CSFV-infected group, while FOXO3 and NRTN were down-regulated. Western blot results showed that the protein expression level of THBS4 increased after CSFV infection. These findings lay an important foundation for understanding the molecular mechanisms regulating viral replication and immune evasion, and have significant scientific implications and potential application value.

Background: Patients with chronic hepatitis B (CHB) may have an increased risk of severe COVID-19. Tenofovir has been hypothesized to confer protection against severe disease, but evidence is inconclusive. We evaluated the risk of severe COVID-19 among CHB patients treated with tenofovir compared with other nucleos(t)ide analogues (NAs). Methods and findings: In this nationwide, registry-based cohort study, we included all adults with CHB and laboratory-confirmed COVID-19 in Sweden between February 2020 and July 2022. Data from national health and socioeconomic registers were linked using unique personal identification numbers (PINs). Patients with HIV, hepatitis C, or hepatitis D coinfection were excluded. Exposure was defined as tenofovir versus other NA therapy. The primary outcome was severe COVID-19, defined as hospitalization >2 days or death within 30 days of diagnosis. Logistic regression was used to estimate adjusted odds ratios (aOR) with 95% confidence intervals (CI), controlling for age, sex, comorbidities, vaccination, socioeconomic status, and region of birth. Among 5,877 CHB patients with COVID-19, 672 were receiving NA therapy (437 tenofovir, 235 other NAs). Severe COVID-19 occurred in 8.0% of tenofovir-treated patients and 14.5% of those receiving other NAs (unadjusted OR 0.52; 95% CI, 0.31-0.85). After adjustment, the association was attenuated and no longer significant (aOR 0.72; 95% CI, 0.39-1.31). Older age, comorbidities, and unvaccinated status were strongly associated with severe disease. Conclusions: The apparent protective effect of tenofovir against severe COVID-19 in unadjusted analyses was largely explained by confounding factors. The risk of severe disease was primarily driven by age, comorbidities, and vaccination status. Prevention of severe COVID-19 in patients with CHB should instead focus on vaccination and management of comorbidities.

Abstract textO_ST_ABSBackgroundC_ST_ABSAs hepatitis A (HA) incidence declines in Europe and infections occur later in life, clinical presentations may worsen, particularly during outbreaks involving adults. AimWe analysed temporal trends and factors associated with severe disease and mortality among patients hospitalised for HA in France between 2013 and 2024. MethodsICD-10 codes B150 or B159 as primary discharge diagnosis were used to identify HA cases from the National Discharge Data Set. Severity (hepatic and/or extrahepatic organ failure within 12 weeks post-admission) and mortality were analysed using adjusted odds ratios in original and propensity-matched samples. Trends were assessed across five periods covering the 2017 epidemic and COVID-19, with 2013-2016 as reference. ResultsAmong 7,928 cases (60.6% male; median age 30) 29.1% developed severe HA, and 1.43% died. Risk of severe HA increased with age (+17% of risk per decade, p < 0.001), male sex (+39%, p < 0.001), smoking (+25%, p=0.024), liver risk factors (+32%, p=0.026), and cirrhosis (+48%, p = 0.024). Risk of death increased with cirrhosis (3.55-fold, p < 0.001) and high Charlson Comorbidity Index (CCI) (9.95-fold, p < 0.001), but not with advanced age. Compared with 2013-2016, severe HA increased by 60% (p<0.001) and case fatality increased 2.22-fold (p=0.003) in 2021-2024. ConclusionsHA severity and mortality have increased in France over the last decade, with advanced age and male sex increasing severity but not mortality, and high CCI limiting access to organ support, thereby increasing mortality in frail patients. Our findings highlight the need for targeted prevention and optimized care strategies for high-risk groups.

Introduction: Synthetic oligopeptides provide a rapid and cost-efficient approach to developing antibodies and diagnostics for emerging viral variants. Methods: This study computationally and experimentally characterized a synthetic peptide analog of the SARS-CoV-2 spike subdomain 2 major disulfide loop (SD2MDL), designated S621 (CPVAIHADQLTPTWRVYSTC). Binding affinity was computationally estimated using the Heuristic Affinity Prediction Tool for Immune Complexes (HAPTIC), while experimental validation was performed using enzyme-linked immunosorbent assay (ELISA) with rabbit-derived antipeptide antibodies. Clinical diagnostic accuracy testing was done using plasma samples from RT-PCR-confirmed COVID-19 patients and pre-COVID-19 controls. Results: S621 demonstrated nanomolar binding affinity (Kdapp = 1.14 nM) and high avidity (3.67 nM), closely matching HAPTIC predictions (3.54 nM). Diagnostic evaluation yielded a sensitivity of 89.92% and specificity of 27.79%, corresponding to an overall accuracy of 71.79%. Discussion: These findings demonstrate that a single synthetic peptide derived from a conserved spike subdomain can function as a high-affinity surrogate for full-length antigens, supporting its potential application in rapid peptide-based immunodiagnostics.

Currently circulating swine influenza viruses (SIVs) mainly include H1N1, H1N2, and H3N2 subtypes. In this study, two G4 genotype Eurasian avian-like (EA) H1N1 SIVs were isolated from 556 samples collected between 2023 and 2026. A systematic analysis was conducted on the two EA H1N1 isolates (FYD30 and YZF69) to assess their pandemic potential. The hemagglutinin (HA) proteins of both H1N1 viruses possessed residues 225E and 228S, indicating enhanced affinity for human-like -2,6-linked sialic acid receptors, which was confirmed by receptor-binding assays. Polymerase activity tests demonstrated that the two SIVs exhibited significantly higher activity in mammalian cells, relative to avian cells, which is consistent with the efficient replication in mammalian cells. Challenge experiments revealed that both H1N1 caused significant pathogenicity in mice and pigs, with YZF69 exhibited higher virulence than FYD30. The higher virulence of YZF69 may be attributed to its molecular features, including the NP Q357K mutation, and an additional glycosylation site in HA. In conclusion, currently circulating EA H1N1 SIVs have acquired key molecular signatures of mammalian adaptation, exhibit enhanced virulence in mammals, and continue to undergo extensive reassortment driven by international swine trade. These findings highlight the potential pandemic risk of SIVs and underscore the urgent need for strengthened surveillance.

Background.Mycoviruses infect fungal cells and represent important components of the global virome with potential biological control applications. The rice blast pathogen Pyricularia oryzae causes devastating crop losses worldwide, yet its mycovirus diversity remains understudied. While traditional dsRNA extraction remains a standard method for virus discovery, recent advancements, such as monoclonal antibody (mAb)-based dsRNA enrichment, offer improved specificity and sensitivity for viral detection. Methods.We developed the monoclonal anti-dsRNA antibody-based metagenomics (MADAM) approach, integrating dsRNA enrichment using 2G4 monoclonal antibody, sequence-independent reverse transcription-PCR with random octamer primers, and Oxford Nanopore Technologies sequencing. Total RNA was extracted from four P. oryzae isolates collected from Yuanyang rice terraces (Yunnan, China). After nuclease treatment, dsRNA was enriched using anti-dsRNA antibodies, followed by strand-switching cDNA synthesis, PCR amplification, and MinION sequencing. Genome gaps and terminal sequences were resolved through targeted RT-PCR and modified 3' RACE approaches. Results.MADAM achieved high viral read recovery rates (46.9-72.7%) and identified 18 P. oryzae-associated RNA viruses across seven families: Botourmiaviridae, Deltaormycoviridae, Mymonaviridae, Partitiviridae, Polymycoviridae, Splipalmiviridae, and Ambiguiviridae. Nearly complete to complete genomes (ranging from 1,226 to 6,085 nucleotides) were recovered, with sequence coverage spanning 88-100%. Co-infections occurred in three out of four isolates. Notable discoveries included the first deltaormycovirus in P. oryzae, a putative novel Botourmiaviridae member, and an additional genomic segment of a polymycovirus. The method detected positive-sense, negative-sense ssRNA, and dsRNA viruses, demonstrating broad applicability.

The lack of effective anti-hepatitis B virus (HBV) therapies highlights the need for a new type of treatment that targets different stages of the viral life cycle. The HBV core protein (HBc) is a critical component of this cycle. Various capsid assembly modulators (CAMs) have been developed to target the HBc and inhibit HBV replication. We recently described a subset of capsid assembly modulators (CAMs) that induce the formation of aberrant structures from the HBc in the nucleus, leading to cell death via annexin A1 (ANXA1)-driven apoptosis. Thus, we further elucidated the mechanism of HBc aggregation in the nucleus, with a particular focus on the interplay between nuclear HBc aggregates and PML nuclear bodies. We found that long-term treatment with CAM-A induced the formation of enlarged PML bodies, approximately 1-2 m in diameter, that accumulated aggregated HBc. PML silencing in HBc-overexpressing HepG2-NTCP cells led to a dramatic increase in apoptosis following CAM-A-induced HBc aggregation, which was associated with elevated ANXA1. Next, we showed that PML nuclear bodies orchestrate proteasomal degradation of nuclear HBc aggregates via sumoylation-dependent recruitment of RNF4. Collectively, our results suggest that PML nuclear bodies act as storage compartments for aggregated HBc proteins in the nucleus, thereby counteracting the apoptotic elimination of cells. Further study of PML function and the targeting of PML nuclear bodies in HBV-infected hepatocytes could reveal new ways to enhance the effectiveness of CAMs.

Viruses constitute a significant proportion of Earths genetic diversity, yet most remain uncharacterized beyond their sequences in viral metagenomes. Linking viral genotypes to phenotypes--especially enzyme function to phage infection dynamics--is challenging due to the lack of cultured virus-host systems. DNA polymerase I (PolA), essential for genome replication in [~]25% of dsDNA phages, provides an opportunity to explore these connections. In phage T7, residue 526 is critical for nucleotide incorporation, with previous in vitro evidence indicating impacts on enzyme efficiency and fidelity. Previous analyses identified three substitutions at this position (Tyr/Y, Phe/F, Leu/L) linked with deeply rooted viral PolA clades. Mutation impacts at residue 526 were tested in vitro and in vivo. The Y526F protein exhibited a 50% reduction in specific activity, and when introduced via High Complexity Golden Gate Assembly into T7 demonstrated a 53% decrease in burst size and significantly longer latent period compared to wild type. The Y526L protein exhibited a 97% decrease in activity, and the Y526L phage was incapable of completing its lifecycle. These findings confirm historical biochemical data, provide in vivo context for these mutations in the T7-E. coli system, and offer experimental support for genotype-to-phenotype associations in viral PolA, informing viral metagenomics studies. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=162 SRC="FIGDIR/small/726624v1_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@14395e5org.highwire.dtl.DTLVardef@261504org.highwire.dtl.DTLVardef@2dc1e4org.highwire.dtl.DTLVardef@147a7f_HPS_FORMAT_FIGEXP M_FIG C_FIG Created in BioRender. Keown, R. (2026) https://BioRender.com/mhrmup3

Influenza viruses circulate in humans, causing a substantial burden on global health. Investigation of influenza-host interactions could identify host factors that regulate influenza pathogenicity. Sphingosine 1-phosphate (S1P) is a bioactive lipid mediator and regulates crucial cellular processes. S1P lyase (SPL), an enzyme that mediates S1P degradation, was shown to display anti-influenza activity in a cell culture system. Here, we constructed a mouse model to demonstrate the antiviral function of SPL in respiratory epithelial cells during influenza in vivo. Deletion of SPL from lung epithelial cells exacerbated influenza-induced weight loss and mortality. Influenza virus began to propagate more effectively in the absence of SPL at the innate immune stage. Increased virus titers were sustained during influenza and associated with enhanced accumulation of multiple immune cell types in the lungs. Single-cell RNA sequencing was conducted to further define the function of SPL in lung epithelial cells. SPL deletion increased the proportion of alveolar type 1 (AT1) cells compared to alveolar type 2 (AT2) cells with alteration of the related signaling pathways, suggesting a role of SPL in AT1/AT2 programming. Importantly, host innate defense pathways were changed in SPL-deficient lung epithelial cells upon infection, which corroborates the antiviral function of SPL. This study elucidates the host protective function of SPL in lung epithelial cells during influenza and provides gene signature profiles critical for SPL-mediated alleviation of influenza pathogenicity. The findings may contribute to development of host-directed therapeutics to better control influenza.

Viral phenotypes such as host and tissue tropism are critical determinants of viral infection and transmission. Inferring viral phenotypes presents unique challenges compared to cellular organisms, as viruses rely entirely on host machinery for replication and survival. Current methods for predicting viral phenotypes mainly rely on viral genomic data, often overlooking host-related information. Here, we evaluated the utility of predicted virus-human protein-protein interactions (PPIs) in inferring diverse viral phenotypes using machine-learning algorithms. For predicting human infectivity, a PPI-based machine learning model outperformed both virus genomic and protein sequence-based models that used large language model embeddings. It also surpassed previous methods that incorporated both viral and host genomic data. The human proteins identified by the model were significantly enriched in functions related to viral infection and immune response. In predicting various phenotypes of human RNA viruses, PPI-based models performed better than virus sequence-based models in forecasting virulence, human transmissibility and transmission routes, while showing comparable performance to genomic sequence-based models in predicting tissue tropism. Finally, we demonstrated that a PPI-based model could distinguish high-risk HPV genotypes from low-risk ones. Proteins associated with high-risk HPV were involved in apoptosis and immune regulation, whereas those linked to low-risk HPV were enriched in telomere maintenance and DNA repair. Collectively, this study is the first to demonstrate the value of predicted virus-human PPIs in inferring viral phenotypes, thereby enhancing our understanding of the molecular mechanisms underlying these phenotypes. It also provides effective tools for risk assessment of emerging viruses, contributing to improved pandemic preparedness.

Long COVID (LC) is a complex condition characterized by persistent, chronic multisystem manifestations, with a significant proportion of patients exhibiting neurological symptoms. Human ion channels (HICs), particularly potassium channels, are abundantly expressed in the nervous system and linked to key metabolic processes, making them potential candidates for understanding LC pathophysiology and drug repurposing. Meta-analysis of RNA-Seq datasets from COVID-19 recovered and LC patients was performed to identify altered HICs in LC. Differential gene expression analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) were performed to uncover key genes, pathways, and co-expression modules consisting of HICs, lipid metabolism-, and immune signaling-related genes. Drug-gene interaction analysis was performed to identify approved drugs targeting potential HICs. A total of 715 dysregulated genes, including eighteen HICs were identified, among which seven were potassium channels. Three significant modules containing HICs, lipid metabolism-, and immune signaling-related genes were identified and found to be associated with antigen processing and presentation, complement and coagulation cascades, and cytokine-related pathways. Approved drugs targeting KCNA6, KCNJ10, KCNN3, and KCNH4 were identified. With further experimental validation, these dysregulated potassium channels, supported by their co-expression networks and pathway associations, may act as potential candidates for drug repurposing in LC patients.

Orthohantaviruses cause severe human diseases including hemorrhagic fever with renal syndrome (HFRS) and hantavirus cardiopulmonary syndrome (HCPS), with case fatality rates up to 40%. No FDA-approved therapeutics are currently available, highlighting urgent need for drug development following recent outbreak events. We systematically examined host protease dependencies in hantavirus replication, focusing on Signal Peptidase (SP) and Signal Peptide Peptidase (SPP) essential for viral glycoprotein maturation. Through comprehensive database mining and molecular docking analysis, we identified six potential protease inhibitors, with Compound E achieving the highest binding confidence score (-0.28) against SPP. Our analysis reveals that targeting host ER proteases represents a viable antiviral strategy, providing a systematic framework for protease-targeted antihantavirus drug development and identifying specific lead compounds for experimental validation.