Search Results (1,250)

Innate immunity predictors of HIV-1 risk and pathogenesis vary with reproductive hormones, pregnancy, and lactation, yet the underlying mechanisms remain unclear. We hypothesized that pregnancy-associated physiological adaptations alter systemic microRNA (miRNA) expression, thereby regulating immunity, pathogenesis and susceptibility to infection. We analyzed 174 serum samples from 88 participants in a longitudinal cohort from Uganda and Zimbabwe across pre-pregnancy (PP), pregnancy (P), and postpartum breastfeeding (BF). Cell-free peripheral blood miRNAs (n = 2083) were profiled using HTG EdgeSeq. Pregnancy-specific miRNAs were identified by intersecting differentially expressed (DE) miRNAs from P vs. PP and P vs. BF comparisons. miRNA targets and pathways were analyzed using miRWalk, Cytoscape/ClueGO, and cytoHubba. Pregnancy was associated with DE miRNAs (29 upregulated and 131 downregulated) targeting 2733 validated genes. Enriched pathways (FDR < 0.05) included adaptive immune response, Hippo Signaling, Cellular Senescence, HSV-1 infection, and two cancer-related pathways. Pregnancy-enriched targets within each pathway overlapped with the HIV–host interactome by 37–88%. Network analysis identified 47 hub genes interacting with 18 HIV-1 proteins, with Tat and gp120 being most connected viral and HLA-A being the most connected host protein. These findings indicate that pregnancy-driven systemic miRNAs target the HIV–host interactome and specifically identify pregnancy-enriched central hub genes involved in cell cycle control, viral immune evasion and replication to be further investigated for their predictive value in HIV acquisition and pathogenesis in longitudinal cohorts and experimental settings. Full article

The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as one of the most significant global health crises in recent history. Coronaviruses are a diverse group of RNA viruses classified into alpha, beta, gamma, and delta genera, with SARS-CoV-2 belonging to the beta-coronavirus family. The virus exhibits high transmissibility and causes a wide spectrum of clinical manifestations ranging from mild respiratory symptoms to severe complications such as acute respiratory distress syndrome, multi-organ failure, and death, particularly among elderly and immunocompromised individuals. Structurally, SARS-CoV-2 possesses a large single-stranded RNA genome encoding major structural proteins, including spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins, which play critical roles in host-cell recognition and viral infection. Understanding the molecular mechanisms of virus–host interactions, especially protein–protein interactions (PPIs), is essential for uncovering viral pathogenesis and identifying potential therapeutic targets. Traditional experimental techniques for PPI detection, such as yeast two-hybrid and affinity purification methods, are often expensive, labor-intensive, and prone to inaccuracies. Consequently, computational approaches based on machine learning (ML) and deep learning (DL) have gained significant attention for efficient and scalable PPI prediction. These methods use diverse biological information, including protein sequences, structural features, genomic data, Gene Ontology annotations, and interaction networks, to model complex biological relationships. This survey reviews computational approaches to PPI prediction, highlighting ML- and DL-based techniques, methodological advances, performance evaluation practices, and limitations that affect benchmark comparability. It also discusses biological databases and data sources commonly used in PPI studies and explicitly considers how models trained in coronavirus-centered settings may generalize to other viral families with different mechanisms of host interaction. Full article

Porcine epidemic diarrhea virus (PEDV) continues to undergo genetic evolution and remains a major etiological agent of enteric disease in swine, causing significant economic losses worldwide. This study investigated the molecular epidemiology and genetic characteristics of PEDV circulating in Chongqing, China, between 2022 and 2024. A total of 296 diarrheic piglet samples collected from nine regions were screened using RT-qPCR, of which 48.31% (143/296) tested positive for PEDV. A subset of positive samples was subjected to S gene amplification and sequencing, yielding 15 complete sequences. Phylogenetic analysis revealed that all sequenced strains clustered within the G2c lineage and showed high nucleotide similarity (93.37–94.09%) to the classical CV777 strain. Recombination analysis indicated potential recombination events among field strains involving S-INDEL and G2b-like parental lineages, although these findings are based on a limited number of sequences. Sequence analysis identified multiple amino acid substitutions within the COE antigenic region, while other neutralizing epitopes (SS2, SS6, and 2C10) remained largely conserved. In addition, variation in predicted N-glycosylation sites was observed among some strains. Structural modelling suggested that these changes may influence spike protein conformation and antigenic properties; however, these interpretations are based on in silico analysis and require experimental validation. Overall, the findings indicate ongoing genetic evolution of PEDV in Chongqing and suggest circulation of G2c-associated variants in diarrheic piglets. However, given the limited and non-random nature of sequencing, these results may not fully represent the broader viral population. Continued large-scale molecular surveillance and functional studies are needed to better understand PEDV evolution and to support the development of improved control strategies and vaccines. Full article

This review describes a novel method for increasing the effectiveness of inactivated enveloped whole-virus vaccines by targeting them for extensive uptake by antigen-presenting cells (APCs). Several inactivated whole-virus vaccines with dense glycan shields display suboptimal effectiveness because the multiple carbohydrate chains (glycans) on the virus mask immunogenic peptides and surround the virus with a negative electrostatic charge that decreases uptake by APCs. It is postulated that engineering such vaccinating viruses to present the carbohydrate antigen “α-gal epitope” on the glycan shields will immunocomplex them with the anti-Gal antibody; thus, it will target them for robust uptake by APCs. Anti-Gal is an abundant natural antibody in humans, constituting ~1% of human circulating immunoglobulins. The ligand of anti-Gal is the α-gal epitope, which is naturally synthesized in non-primate mammals and New World monkeys by the glycosylation enzyme α1,3galactosyltransferase. This enzyme is encoded by the GGTA1-gene. Viral vaccines presenting multiple α-gal epitopes on their glycan shield bind anti-Gal and activate the complement system to produce complement chemotactic cleavage peptides C5a and C3a that induce extensive recruitment of APCs to vaccine injection sites. The virion-bound anti-Gal further targets the viral vaccine for robust uptake by APCs, following binding of its Fc “tail” to Fcγ-receptors on APCs. The efficacy of this method was studied in anti-Gal-producing mice with α-gal presenting inactivated influenza virus vaccine and with gp120 of HIV presenting this epitope. These studies indicated that virus vaccines engineered to present α-gal epitopes increase anti-virus antibody production and virus-specific T-cell activation by 15- to 100-fold in comparison to the same vaccines lacking α-gal epitopes. It is suggested that α-gal presenting inactivated SARS-CoV-2 virus vaccines can induce a similar protective long-term immune memory against S- M-, E-, and N-viral proteins. Furthermore, immune-escaping variants of the mutated S-protein may be destroyed by antibodies to M and E proteins, and cells infected with such variants may be killed by cytotoxic T cells specific to peptides of the N-protein. Such an anti-M-, E-, and N-protein immune protection may prevent expansion of these variants and thus may avoid the need for immunization with COVID-19 vaccines every 6 months or following the appearance of new variants. A similar potent immunization may be achieved with an inactivated Ebolavirus vaccine engineered to present α-gal epitopes on the glycan shield. The resulting immune response to the various Ebolavirus proteins also may contribute to cross-reactive protection against other Ebolavirus species containing proteins with evolutionarily conserved structures. An effective method for the preparation of a whole-virus vaccine presenting α-gal epitopes is by arming it with the GGTA1-gene inserted into the viral genome. Such virions will present multiple α-gal epitopes on their glycan shield, which will amplify their immunogenicity instead of reducing it in the wild-type virus. Full article

The molecular mechanisms governing the efficient packaging of the large SARS-CoV-2 RNA genome into progeny virions remain incompletely understood, with the role of untranslated regions (UTRs) being particularly enigmatic. Leveraging proximity ligation sequencing data, we identified direct, high-frequency interactions between the viral packaging signal PS9 and both the 5′ and 3′ UTRs during intracellular replication stages. Functional validation using an infectious virus-like particle (iVLP) system demonstrated that genomes incorporating SARS-CoV-2 UTRs exhibited significantly enhanced packaging efficiency, yielding an increase in both packaged RNA copies and reporter gene expression post-infection. Competitive packaging assays confirmed the UTRs confer a selective advantage during particle assembly. Mechanistically, Western blot and digital Western analysis revealed that UTR-containing iVLPs incorporated approximately 2-fold more nucleocapsid (N) proteins, suggesting enhanced N recruitment or retention. The deletion of specific core sequences within the UTRs predicted to form a base pair with PS9 abrogated this enhancement, suggesting the functional significance of the UTR-PS9 interaction interface. Collectively, these results establish that the 5′ and 3′ UTRs act synergistically through direct RNA-RNA interactions with PS9 to promote N protein recruitment and enhance packaging efficiency in a PS9-dependent iVLPs system. This UTR-PS9 regulatory axis presents a novel target for therapeutic intervention against SARS-CoV-2 and related coronaviruses. Full article

Machupo virus (MACV) is the causal agent of Bolivian Hemorrhagic fever. It is highly pathogenic, has a high mortality rate, and currently lacks specific treatments or vaccines. MACV belongs to the Arenaviridae family, which uses a cap-snatching mechanism during the transcription process. Its viral polymerase, the L protein, harbors the endonuclease activity required for cap snatching, making it a suitable target for the development of antiviral therapeutics. We combined experimental and computational methods to characterize MACV endonuclease activity and evaluate inhibitors. A fluorescence resonance energy transfer (FRET) assay was used to measure the enzymatic activity of endonuclease and identify potent inhibitors via high-throughput screening. FRET assays identified BW-148, an inhibitor with a 48.4 µM (95% CI: 37.3–59.3 µM; R² = 0.98) IC₅₀, and a K_D of 13.7 µM (95% CI: 8.2–19.2 µM, n = 3). Docking studies reveal that BW-148 may bind near the MACV endonuclease catalytic site, inhibiting enzymatic activities by metal chelating. BW-148 is a useful lead compound for further optimization of Machupo endonuclease inhibitors. Full article

The genetic and antigenic diversity of H5Nx HPAI Gs/GD lineage continues to be a great challenge facing conventional inactivated vaccines. To overcome this challenge, a recombinant herpes virus of turkey (rHVT) vaccine expressing the viral protein 2 (VP2) of infectious bursal disease (IBD) and H5, rHVT+IBD+H5, was developed using computationally optimized broadly reactive antigen (COBRA) technology. In the current study, the protective efficacy of a commercially available vector trivalent vaccine rHVT+IBD+H5 using COBRA technology was assessed. A total of 120 commercial broilers were divided equally into six groups (G1B–G6B). The chickens in G1B–G3B were challenged with the most recent circulating HPAI-H5N1 clade 2.3.4.4.b Egyptian isolate (GenBank accession No. OQ933425) at 28 days old (DO), while the chickens in G4B and G5B were kept as vaccinated (as G1B and G2B, respectively) and non-challenged, and G6B was the non-vaccinated non-challenged group. In G1B, the chickens were vaccinated with Vaxxitek^® rHVT+IBD+H5 at 1 DO and boostered with a commercially available subunit Baculovirus bivalent inactivated H5+ND (Volvac^® B.E.S.T AI+ND) at 10 DO and had a 100% survival rate. The standalone vaccinated chicken G2B, using rHVT+IBD+H5 at 1 DO, had a highly significant survival rate (90%) vs. 0% (100% mortality) in the non-vaccinated challenged control, G3B. All the vaccinated groups had higher seroconversion at 45 DO especially using H5-coated antigen plates for the enzyme-linked immunosorbent assay (ELISA) test. The viral shedding titers and time were evaluated using a quantitative real-time polymerase chain reaction (RT-qPCR) in the collected oropharyngeal and cloacal swabs at 3, 5, 7, and 10 days post-challenge (DPC). In conclusion, vaccination with rHVT+IBD+H5 either as a standalone or when boostered with subunit Baculovirus bivalent inactivated ND+H5 resulted in 90 and 100% protection, respectively, without significant difference in the quantity and duration of viral shedding between both groups against HPAI-H5N1 clade 2.3.4.4.b experimental challenge in broilers. Full article

The Yezo virus (YEZV) is a recently discovered tick-borne orthonairovirus with pathogenic potential, causing acute febrile illness in humans. Viral nucleoproteins (N) play a key role in genome packaging, replication, and modulation of host immune responses, making their structural characterization essential for understanding viral pathogenesis and developing targeted countermeasures. However, the absence of structural data for YEZV proteins significantly hinders these efforts. This study presents the first solution structure of the YEZV N domain 1 (D1). A highly purified, soluble, tag-free recombinant YEZV N D1 was produced from the native sequence of the clinical YEZV isolate. The native-state conformation was resolved through an integrated approach combining size-exclusion chromatography coupled with small-angle X-ray scattering (SEC-SAXS), AlphaFold 3 structure prediction, and all-atom molecular dynamics simulations. The YEZV N D1 structure adopts a stable, predominantly α-helical globular fold that remains monomeric under near-physiological conditions. SEC-SAXS data show excellent agreement with computational models, revealing moderate conformational flexibility. The characterized recombinant YEZV N D1 and its first solution structure reported here providing essential insights into understanding of YEZV molecular architecture. These findings lay a foundation for rational serological assay development and structure-guided therapeutic design against this and other emerging orthonairoviruses. Full article

The influenza A virus (IAV) has been responsible for multiple seasonal epidemics and poses a pandemic threat, and the growing number of variant strains constitutes a persistent threat to humanity. This study aimed to identify anti-influenza compounds from a traditional Chinese medicine (TCM) monomer library using a machine learning approach, with calmodulin as a hypothesis-driven target. The antiviral efficacy of the compounds with the highest predicted binding scores from virtual screening was evaluated using integrated computational and experimental approaches. A pre-trained protein language model (ConPLex) was employed for virtual screening. Molecular docking was used to predict binding characteristics, and network pharmacology was applied to generate hypotheses on multi-target mechanisms. The cytotoxicity and anti-H1N1 activity of the selected compounds were assessed in vitro, followed by in vivo evaluation of survival, lung pathology, viral load, and inflammatory mediators in a lethal mouse infection model. Sodium deoxycholate (NaDC) and deoxycholic acid (DCA) were identified as promising lead compounds. Both exhibited dose-dependent inhibition of viral replication in vitro with low cytotoxicity. Treatment with NaDC and DCA significantly improved survival rates and reduced lung pathology in H1N1-infected mice. Treatment was associated with suppression of nuclear factor kappa-B (NF-κB) activation, reduced pro-inflammatory cytokines, and elevated interleukin-10 (IL-10) levels. Molecular docking predictions indicated that NaDC and DCA exhibit moderate binding affinity for calmodulin, with binding energies of −8.38 kcal/mol and −7.61 kcal/mol, respectively. Furthermore, network pharmacology analysis suggested that these compounds may modulate pathways related to viral infection, inflammation, and immune regulation. NaDC and DCA demonstrate anti-influenza activity both in vitro and in vivo, reducing viral replication and alleviating inflammatory lung injury. These findings position NaDC and DCA as promising lead compounds for anti-influenza drug development and provide a foundation for further mechanistic validation. Full article

The Chinese bahaba (Bahaba taipingensis), an endangered marine fish, is highly vulnerable to infectious spleen and kidney necrosis virus (ISKNV). In this work, we developed a gill filament-derived cell line, designated BTG, to investigate how these cells respond to ISKNV over time, specifically from 3 to 24 h post-infection (hpi). BTG cells grew steadily, displayed a diploid chromosome number of 2n = 48, demonstrated high transfection efficiency, and were highly susceptible to viral infection. Characteristic cytopathic effects (CPEs) became noticeable as early as 6 hpi at 27 °C. RNA-seq profiling showed that the number of differentially expressed genes (DEGs) steadily increased with time. Standard enrichment analysis at individual time points (3, 6, 12, and 24 hpi) highlighted pathways mainly involved in DNA replication, cell cycle control, ribosome assembly, transcription and translation, mismatch repair, and cell adhesion. Temporal clustering analysis, however, revealed hidden patterns in immune gene expression. Genes that were consistently downregulated were enriched in immune-related pathways, including ECM–receptor interaction, cytokine–receptor signaling, PI3K–AKT, and Wnt signaling, indicating prolonged suppression of host defense mechanisms. In contrast, clusters of genes transiently upregulated during the first 6 h post-infection were associated with antiviral and innate immune pathways, such as NF-κB, JNK, IRF3, IRF7, caspases, JAK, MHC I, and lysosome-related functions, suggesting a rapid but short-lived antiviral response. Genes that were continuously upregulated were primarily involved in nucleic acid replication and protein synthesis, reflecting a gradual host cell reprogramming to support viral replication. Taken together, these findings reveal a temporal shift in BTG cells from an initial burst of immune activity to immune suppression, accompanied by enhanced viral replication. The BTG cell line thus represents a valuable in vitro model for dissecting ISKNV–host interactions and offers new perspectives on the molecular strategies employed by megalocytiviruses in B. taipingensis. Full article

Background/Objectives: Although influenza A viruses with partially truncated NS1 proteins are substantially attenuated and immunogenic due to enhanced innate immune activation; residual NS1-mediated antagonism of antiviral innate responses may support viral replication in the lower respiratory tract and constrain optimal immune responses. Strategies to further improve their immunogenicity and protective efficacy by incorporating immunomodulatory cytokines, such as IL-2, have been successfully explored. Methods: Here, we extended this approach to chemokine expression by engineering an NS1-truncated PR8-based virus (PR8/NS124) to express the immunomodulatory chemokine CXCL10 from the NS segment and compared it with the parental vector. Results: The recombinant NS124_SS_CXCL10 virus replicated to high titers in embryonated chicken eggs and MDCK cells. In vivo, however, CXCL10 expression reduced viral replication in mouse lungs by ~10⁴-fold, resulting in a near-non-replicating phenotype. In contrast to the parental virus, the vector did not induce weight loss and exhibited a strongly attenuated phenotype. This effect was associated with altered innate immune signaling, including increased IRF7 expression and early induction of IFN-α responses in the lungs, together with modulation of TLR-dependent sensing pathways in the upper respiratory tract. Despite severely impaired replication, intranasal immunization induced antigen-specific T-cell responses comparable to those elicited by the parental vector. Following intraperitoneal immunization, when replication of both vectors was minimal, the CXCL10-expressing vector induced significantly higher frequencies of antigen-specific CD8⁺ and CD4⁺ effector-memory T cells. This was accompanied by enhanced antigen-specific T-cell recall responses in the lungs following intranasal challenge. Importantly, the CXCL10-expressing vector demonstrated protective efficacy comparable to that of the parental NS124 vector against heterologous H3N2 challenge while exhibiting an improved safety profile. Conclusions: These findings support the incorporation of CXCL10 as a strategy to improve the safety and T-cell immunogenicity of NS1-truncated influenza vectors. Full article

Semaphorin 3A (Sema3A), a known axon chemorepulsive protein during development, is localised in perineuronal nets (PNNs) in the adult brain. PNNs are condensed aggregates of extracellular matrix molecules surrounding specific types of neurons, which regulate neuroplasticity and memory. However, the role of PNN-associated Sema3A in these processes remains unclear. To address this topic, we investigated the contribution of Sema3A to cerebellum-dependent learning and memory in adult mice using the eyeblink conditioning (EBC) paradigm. We interfered with Sema3A signalling by employing: (i) a molecular approach, in which secreted Sema3A receptors (neuropilin-1 bodies) were expressed in the anterior interposed nuclei (AIN) via viral vector injection; and (ii) a genetic approach, using mutant mice with impaired Sema3A signalling (K108N mice). Mice expressing neuropilin-1 bodies showed reduced EBC performance at the beginning of the memory retention phase. However, increased inflammation was found in the AIN of these mice, challenging the interpretation of these findings. K108N mice showed enhanced EBC performance at the beginning of the memory retention phase. No synaptic structural changes were detected in the AIN of K108N mice at the end of the EBC paradigm. Based on our findings in K108N mice, constitutively altered Sema3A signalling is associated with subtle improvement in cerebellar memory. Full article

Although antiviral development against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been dominated by replication-directed strategies, structural and accessory proteins offer a complementary and increasingly important opportunity for small-molecule intervention. These proteins control key processes outside the core replication machinery, including viral entry, membrane remodelling, virion assembly, egress, and host immune modulation, thereby expanding the mechanistic scope of antiviral design. However, many of these targets are membrane-associated, oligomeric, conformationally dynamic, or function through protein–protein interactions, creating distinct challenges in target validation, assay design, and chemical optimisation. In this review, we comprehensively and critically evaluate the structural and accessory proteomes of SARS-CoV-2, with a strict focus on small-molecule tractability and translational relevance. We highlight the most credible direct-acting opportunities, focusing on the membrane (M), envelope (E), and nucleocapsid (N) structural proteins, together with the accessory protein open reading frame 3a (ORF3a), for which emerging chemical matter strengthens confidence in druggability. In contrast, Spike (S) and several host-interface accessory proteins, including ORF6, ORF8, ORF9b, and ORF10, are best viewed as more selective or earlier-stage opportunities that require stronger on-target chemical validation. Emphasis is placed on structural accessibility, mechanism-based assay systems, evidence quality, cellular and in vivo activity, and developability constraints relevant to exposure at the infection site. Rather than replacing replication-directed antivirals, these non-canonical targets are best considered adjunctive or complementary components of future combination strategies designed to broaden antiviral coverage, enhance robustness, and improve pandemic preparedness. Full article

Potyvirus rapae (turnip mosaic virus, TuMV) is widely used as a model system in plant–virus interaction studies. The TuMV RNA genome encodes 11 proteins, some of which remain poorly characterized, while the functions of others are well defined. Studying individual proteins in isolation may not recapitulate native expression levels, subcellular localization, and interaction with host factors during virus replication and movement. An alternative approach is to tag individual viral proteins in the context of an infectious clone. Epitope tags may alter protein functions and affect viral replication, movement, or a combination of essential steps, thus leading to changes in pathogenicity. Because they have central roles in viral infection, here we measured the effect of individually tagging the helper component proteinase (HC-Pro) and nuclear inclusion protein b (NIb) with a 6His-3xFLAG tag. Epitope tags were placed at the N-terminus of HC-Pro and the N- and C-termini of NIb within a TuMV infectious clone carrying coding sequences for the green fluorescent protein (TuMV-GFP). Constructs carrying a tagged HC-Pro displayed pathogenicity similar to that observed for TuMV-GFP in Nicotiana benthamiana and Arabidopsis thaliana plants. In contrast, infectivity of NIb-tagged clones became temperature sensitive and, even at the permissive temperature, showed reduced pathogenicity compared to TuMV-GFP. Providing a silencing suppressor in trans did not restore infection efficiency, suggesting reduced viral fitness due to structural or functional disruption caused by the epitope tags. Structural models generated using AlphaFold2 showed no effect of the tag on HC-Pro. In contrast, structural models illustrated tag interference with the NIb catalytic site. AlphaFold2 was further used to predict the structural impact of several tags on NIb and to predict the effect of a 6HIS-3xFlag tag on all other TuMV proteins. This study provides a broadly applicable framework for selecting suitable epitope tags to mark viral proteins and maintain function in the context of virus infection. Full article

Enterovirus B (EVB) is the most prevalent species of human enteroviruses, responsible for a wide range of diseases, including hand, foot, and mouth disease, viral meningitis, myocarditis, and neonatal sepsis, imposing a significant disease burden primarily on children. Coxsackievirus B (CVB1-6) and various echovirus (E) serotypes are the major serotypes of EVB. Since no antiviral drug or vaccine is available, it is important to strengthen monitoring, risk assessment, and early warning of genomic variations for EVB. CVB1, CVB3, E6, and E30 were selected as representative EVB serotypes for this study due to the availability of three-dimensional structures and their global prevalence. To evaluate the mutation effects of structural proteins on structural stability and receptor-binding affinity, computational saturation mutagenesis of EVB serotypes was performed using FoldX. Furthermore, based on data from deep mutational scanning for CVB3, a risk prediction model for EVB fitness was constructed by machine learning algorithms and applied to other EVB serotypes. Finally, we integrated three phenotypes—structural stability, receptor-binding affinity and fitness—to evaluate genomic variation risk of EVB and tracked the prevalence of high-risk mutants in natural viral sequences through molecular evolution analysis and mutation profiles. We identified the N-terminus and C-terminus of VP1 and the EF loop of VP2 as the EVB regions of highest genomic variation risk, and high-risk mutations had played significant roles in viral evolutionary history. These findings provide a framework for multi-phenotypic and multi-data approaches to viral risk assessment and offer insights to support the development of antiviral drugs and vaccines. Full article