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Influenza viruses continually evolve new antigenic variants, through mutations in epitopes of their major surface proteins, hemagglutinin (HA) and neuraminidase (NA). Antigenic drift potentiates the reinfection of previously infected individuals, but the contribution of this process to variability in annual epidemics is not well understood. Here, we link influenza A(H3N2) virus evolution to regional epidemic dynamics in the United States during 1997-2019. We integrate phenotypic measures of HA antigenic drift and sequence-based measures of HA and NA fitness to infer antigenic and genetic distances between viruses circulating in successive seasons. We estimate the magnitude, severity, timing, transmission rate, age-specific patterns, and subtype dominance of each regional outbreak and find that genetic distance based on broad sets of epitope sites is the strongest evolutionary predictor of A(H3N2) virus epidemiology. Increased HA and NA epitope distance between seasons correlates with larger, more intense epidemics, higher transmission, greater A(H3N2) subtype dominance, and a greater proportion of cases in adults relative to children, consistent with increased population susceptibility. Based on random forest models, A(H1N1) incidence impacts A(H3N2) epidemics to a greater extent than viral evolution, suggesting that subtype interference is a major driver of influenza A virus infection ynamics, presumably via heterosubtypic cross-immunity.

Phylogenetic and discrete-trait evolutionary inference depend heavily on an appropriate characterization of the underlying character substitution process. In this paper, we present random-effects substitution models that extend common continuous-time Markov chain models into a richer class of processes capable of capturing a wider variety of substitution dynamics. As these random-effects substitution models often require many more parameters than their usual counterparts, inference can be both statistically and computationally challenging. Thus, we also propose an efficient approach to compute an approximation to the gradient of the data likelihood with respect to all unknown substitution model parameters. We demonstrate that this approximate gradient enables scaling of sampling-based inference, namely Bayesian inference via Hamiltonian Monte Carlo, under random-effects substitution models across large trees and state-spaces. Applied to a dataset of 583 SARS-CoV-2 sequences, an HKY model with random-effects shows strong signals of nonreversibility in the substitution process, and posterior predictive model checks clearly show that it is a more adequate model than a reversible model. When analyzing the pattern of phylogeographic spread of 1441 influenza A virus (H3N2) sequences between 14 regions, a random-effects phylogeographic substitution model infers that air travel volume adequately predicts almost all dispersal rates. A random-effects state-dependent substitution model reveals no evidence for an effect of arboreality on the swimming mode in the tree frog subfamily Hylinae. Simulations reveal that random-effects substitution models can accommodate both negligible and radical departures from the underlying base substitution model. We show that our gradient-based inference approach is over an order of magnitude more time efficient than conventional approaches.

The M2 proton channel aids in the exit of mature influenza viral particles from the host plasma membrane through its ability to stabilize regions of high negative Gaussian curvature (NGC) that occur at the neck of budding virions. The channels are homo-tetramers that contain a cytoplasm-facing amphipathic helix (AH) that is necessary and sufficient for NGC generation; however, constructs containing the transmembrane spanning helix, which facilitates tetramerization, exhibit enhanced curvature generation. Here, we used all-atom molecular dynamics (MD) simulations to explore the conformational dynamics of M2 channels in lipid bilayers revealing that the AH is dynamic, quickly breaking the fourfold symmetry observed in most structures. Next, we carried out MD simulations with the protein restrained in four- and twofold symmetric conformations to determine the impact on the membrane shape. While each pattern was distinct, all configurations induced pronounced curvature in the outer leaflet, while conversely, the inner leaflets showed minimal curvature and significant lipid tilt around the AHs. The MD-generated profiles at the protein-membrane interface were then extracted and used as boundary conditions in a continuum elastic membrane model to calculate the membrane-bending energy of each conformation embedded in different membrane surfaces characteristic of a budding virus. The calculations show that all three M2 conformations are stabilized in inward-budding, concave spherical caps and destabilized in outward-budding, convex spherical caps, the latter reminiscent of a budding virus. One of the C2-broken symmetry conformations is stabilized by 4 kT in NGC surfaces with the minimum energy conformation occurring at a curvature corresponding to 33 nm radii. In total, our work provides atomistic insight into the curvature sensing capabilities of M2 channels and how enrichment in the nascent viral particle depends on protein shape and membrane geometry.

Birth-death models play a key role in phylodynamic analysis for their interpretation in terms of key epidemiological parameters. In particular, models with piecewise-constant rates varying at different epochs in time, to which we refer as episodic birth-death-sampling (EBDS) models, are valuable for their reflection of changing transmission dynamics over time. A challenge, however, that persists with current time-varying model inference procedures is their lack of computational efficiency. This limitation hinders the full utilization of these models in large-scale phylodynamic analyses, especially when dealing with high-dimensional parameter vectors that exhibit strong correlations. We present here a linear-time algorithm to compute the gradient of the birth-death model sampling density with respect to all time-varying parameters, and we implement this algorithm within a gradient-based Hamiltonian Monte Carlo (HMC) sampler to alleviate the computational burden of conducting inference under a wide variety of structures of, as well as priors for, EBDS processes. We assess this approach using three different real world data examples, including the HIV epidemic in Odesa, Ukraine, seasonal influenza A/H3N2 virus dynamics in New York state, America, and Ebola outbreak in West Africa. HMC sampling exhibits a substantial efficiency boost, delivering a 10- to 200-fold increase in minimum effective sample size per unit-time, in comparison to a Metropolis-Hastings-based approach. Additionally, we show the robustness of our implementation in both allowing for flexible prior choices and in modeling the transmission dynamics of various pathogens by accurately capturing the changing trend of viral effective reproductive number.

In pandemic scenarios involving novel human pathogenic viruses, it is highly desirable that vaccines induce strong neutralizing antibodies as quickly as possible. However, current vaccine strategies require multiple immunization doses to produce high titers of neutralizing antibodies and are poorly protective after a single vaccination. We therefore wished to design a vaccine candidate that would induce increased protective immune responses following the first vaccine dose. We hypothesized that antibodies against the receptor-binding domain (RBD) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein could be increased by drawing upon immunity to a previous infection. We generated a fusion protein containing the influenza H1N1 PR8 virus nucleoprotein (NP) and the SARS-CoV-2 spike RBD. Mice with or without preexisting immunity to PR8 were then vaccinated with NP/RBD. We observed significantly increased SARS-CoV-2 neutralizing antibodies in mice with PR8 immunity compared to mice without preexisting PR8 immunity. Vaccination with NP/RBD protected mice from SARS-CoV-2-induced morbidity and mortality after a single dose. Additionally, we compared SARS-CoV-2 virus titers in the lungs and nasal turbinates 4 days post-challenge of mice vaccinated with NP/RBD. SARS-CoV-2 virus was detectable in the lungs and nasal turbinate of mice without preexisting PR8 immunity, while SARS-CoV-2 virus was completely undetectable in mice with preexisting PR8 immunity. We also found that CD4-positive T cells in mice with preexisting immunity to PR8 play an essential role in producing the increased antibody response against RBD. This vaccine strategy potentially can be modified to target other pathogens of concern and offers extra value in future pandemic scenarios.IMPORTANCEIncreased globalization and changes in human interactions with wild animals has increased the likelihood of the emergence of novel viruses with pandemic potential. Vaccines can be effective in preventing severe disease caused by pandemic viruses. However, it takes time to develop protective immunity via prime-boost vaccination. More effective vaccine designs should quickly induce protective immunity. We propose leveraging preexisting immunity to a different pathogen to boost protection against emerging viruses. We targeted SARS-CoV-2 as a representative pandemic virus and generated a fusion protein vaccine that combines the nucleoprotein from influenza A virus and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein. Our vaccine design significantly increased the production of RBD-specific antibodies in mice that had previously been exposed to influenza virus, compared to those without previous exposure. This enhanced immunity reduced SARS-CoV-2 replication in mice. Our results offer a vaccine design that could be valuable in a future pandemic setting.

Influenza-related acute lung injury is a life-threatening condition primarily caused by uncontrolled replication of the influenza virus and intense proinflammatory responses. Cereblon (CRBN) is a protein known for its role in the ubiquitin-proteasome system and as a target of the drug thalidomide. However, the function of CRBN in influenza virus infection remains poorly understood. In this study, we investigated the impact of CRBN on A/Puerto Rico/8/34 (PR8) influenza virus-induced lung injury and its potential as a therapeutic target. Knocking down CRBN in vitro significantly reduces PR8-induced cell death. Using Sftpc-Cre; Crbnflox/flox lung-specific Crbn knockout mice, we demonstrated that Crbn deficiency significantly decreased mortality, weight loss, lung pathology, edema, and viral load in PR8-infected mice. PR8-infected Sftpc-Cre; Crbnflox/flox mice exhibited a marked reduction in lung inflammatory cell infiltration and suppression of MAPK pathway activation, highlighted by a significant downregulation of the MKK4-JNK-c-JUN signaling cascade. Collectively, these findings indicate that CRBN plays a pivotal role in the pathogenesis of influenza-induced lung injury by modulating MAPK pathway signaling, underscoring its therapeutic potential as a target for intervention. [ABSTRACT FROM AUTHOR]

Influenza A viruses have been a threat to human health for the past 100 years. Understanding the dynamics and pathogenicity of the influenza viruses in vivo is of great value in controlling the influenza pandemic. Fluorescent protein-carrying recombinant influenza virus is a substantially useful tool for studying viral characteristics in vivo and high-throughput screening in vitro. In this study, we generated a recombinant pdmH1N1 CA04 influenza virus carrying a Venus reporter gene in the non-structural (NS) segment using reverse genetics. After passaging the recombinant influenza virus carrying Venus from lung to lung in mice, we found that virulence of the passaged pdmH1N1 CA04-Venus significantly increased and was lethal to the mice. We finally isolated one mouse-adapted pdmH1N1 CA04-Venus with bigger plaques expressing the amount of Venus proteins by using the ninth passage lung homogenate with plague purification. We found three different amino acids (PB2 T340K, PA I21M, and F175L) between WT-CA04-Venus and MA-CA04-Venus using whole-genome sequencing. Interestingly, the polymerase activity of MA-CA04-Venus was significantly lower than that of WT-CA04-Venus in a minigenome assay. Further investigation demonstrates that PA I21M and PA I21M + PB2 T340K significantly enhanced the polymerase activity of WT-CA04-Venus; however, PA F175L + PB2 T340K significantly decreased the polymerase activity of MA-CA04-Venus. Therefore, PA I21M mutation may determine the increased virulence in mice, and PA F175L + PB2 T340K may be involved in the stability of Venus insertion. Above all, we generated a mouse-adapted pdmH1N1 CA04-Venus virus with high virulence and stable green fluorescent Venus protein. It is a useful tool for high-throughput screening of antiviral drugs and for investigating the interaction between the influenza virus and host in vivo. [ABSTRACT FROM AUTHOR]

Influenza A virus (IAV) is a significant public health concern, causing seasonal outbreaks and occasional pandemics. These outbreaks result from changes in the virus's surface proteins which include hemagglutinin and neuraminidase. Influenza A virus has a vast reservoir, including wild birds, pigs, horses, domestic and marine animals. It has over 130 subtypes based on differences in hemagglutinin and neuraminidase protein. IAV affects all age groups but impacts young children more especially during the colder season. Despite the development of vaccines and antiviral drugs, IAV is still a major cause of respiratory illnesses and deaths. Surveillance of IAV is crucial to detect new strains and assess vaccine effectiveness. Detection of IAV relies on methods like hemagglutination assay, PCR, cell culturing, and immunochromatography-based tests. Precise and early detection of IAV strain is crucial for quick treatment using antiviral drugs and unraveling epidemiological patterns to curb epidemics and pandemics on time. Advancements in diagnostic methodologies have enabled us to detect the IAV at early stages by overcoming the limitations of previously used diagnostic tests, further preparing us to combat future epidemics more effectively. This review article discusses the traditional and advanced diagnosis methods for detecting IAV. [ABSTRACT FROM AUTHOR]

Long non-coding RNAs (lncRNAs) are essential components of innate immunity, maintaining the functionality of immune systems that control virus infection. However, how lncRNAs engage immune responses during influenza A virus (IAV) infection remains unclear. Here, we show that lncRNA USP30-AS1 is up-regulated by infection of multiple different IAV subtypes and is required for tuning inflammatory and antiviral response in IAV infection. Genetically inactivation of USP30-AS1 enhances viral protein synthesis and viral growth. USP30-AS1 is an interferon-stimulated gene, and the induction of USP30-AS1 can be achieved by JAK-STAT mediated signaling activation. The immune regulation of USP30-AS1 is independent of its proximal protein-coding gene USP30. In IAV infection, deletion of USP30-AS1 unleashes high systemic inflammatory responses involving a broad range of pro-inflammatory factors, suggesting USP30-AS1 as a critical modulator of immune responses in IAV infection. Furthermore, we established a database providing well-annotated host gene expression profiles IAV infection or immune stimulation. Author summary: Influenza A virus (IAV) infection can induce differential expression of long non-coding RNAs (lncRNAs). However, the understanding of IAV induced lncRNAs that involve in host immune responses is limited. Here we identified that lncRNA USP30-AS1 was induced by multiple subtypes of IAV infection, serving as a critical regulator regarding IAV induced immune responses. Deletion of USP30-AS1 led to enhanced viral protein synthesis and elevated viral growth in IAV infection. JAK-STAT signaling activation can drive the transcription of USP30-AS1. USP30-AS1 does not exert function through the nearby partner protein-coding gene USP30. Deficiency of USP30-AS1 triggers unbalanced, elevated pro-inflammatory responses in IAV infected cells, indicating the role of USP30-AS1 as a modulator regarding immune response during IAV infection. We also provide a user-friendly database that allows access to well-annotated host gene expression profiles in influenza virus infection or interferon stimulation. [ABSTRACT FROM AUTHOR]

Disrupting the conserved multivalent binding of hemagglutinin (HA) on influenza A virus (IAV) to sialic acids (SAs) on the host cell membrane offers a robust strategy to block viral attachment and infection, irrespective of antigenic evolution or drug resistance. In this study, we exploit red blood cell‐derived small extracellular vesicles (RBC sEVs) as nanodecoys by harnessing their high abundance of surface‐displayed SAs to interact with IAV through multivalent HA‐SA interactions. This high‐avidity binding inhibits viral adhesion to the cell surface, effectively preventing both attachment and infection in a dose‐dependent manner. Notably, enzymatic removal of SAs from RBC sEVs significantly diminishes their anti‐IAV efficacy. Our findings indicate that RBC sEVs possess intrinsic anti‐IAV properties due to their native multivalent SAs and hold considerable promise as antiviral therapeutics. [ABSTRACT FROM AUTHOR]

Exploration of the hydroethanolic extracts from the halophyte Limonium densiflorum, led to the isolation of seven phenolic compounds: gallic acid, epigallocatechin gallate (EGCG), quercitrin, a mixture of myricetin 3-O-α-rhamnopyranoside + myricetin 3-O-L-arabinofuranoside, dihydrokaempferol, pinoresinol, and trans-N-ferulolyl tyramine. These compounds were assessed for anticancer, anti-influenza A virus, antioxidant, and anti-inflammatory properties. The results indicated that these compounds do not exhibit toxicity towards healthy cells (WS-1 and MDCK). Furthermore, they displayed strong antioxidant properties. Among these compounds, gallic acid, the mixture of myricetin 3-O-α-rhamnopyranoside + myricetin 3-O-L-arabinofuranoside, dihydrokaempferol, and pinoresinol, showed significant cytotoxicity against colon cancer cells (IC50: 1-39 µg/mL). EGCG, gallic acid, dihydrokaempferol, pinoresinol, and trans-N-ferulolyl tyramine demonstrated potent anti-inflammatory activity by reducing nitric oxide (NO) production and also inhibited the replication of the influenza A virus. Biological activities varied based on compound structure, with phenolic acids and flavonoid aglycones showing stronger effects than glycosylated compounds and lignans. [ABSTRACT FROM AUTHOR]

Targeting interactions between a virus and a host protein is one of the important approaches to developing antiviral therapies. We previously identified host nucleolin as a novel interacting partner of the influenza A virus nucleoprotein, and it was demonstrated that this interaction restricts virus replication. In the current study, we examined the interaction of nucleolin with the viral nucleoprotein at the domain and amino acid levels using in vitro and in silico approaches. Both approaches demonstrated a direct and specific interaction between these two proteins. Furthermore, it was observed that previous pandemic strains of influenza A virus had specific amino acid residues in their nucleoproteins that were predicted to be critical for interaction with nucleolin. This preliminary analysis provides insights into the binding process, which could be explored for developing antiviral strategies. [ABSTRACT FROM AUTHOR]

Whereas the intranasally delivered influenza vaccines used in children affect transmission of influenza virus in the community as well as reducing illness, inactivated influenza vaccines administered by intramuscular injection do not prevent transmission and have a variable, sometimes low rate of vaccine effectiveness. Although mucosally administered vaccines have the potential to induce more protective immune response at the site of viral infection, quantitating such immune responses in large scale clinical trials and developing correlates of protection is challenging. Here we show that by using mathematical models immune responses measured in the blood after delivery of vaccine to the lungs by aerosol can predict immune responses in the respiratory tract in pigs. Additionally, these models can predict protection from influenza virus challenge despite lower levels of blood responses following aerosol immunization. However, the inclusion of immune responses measured in nasal swab eluates did not improve the predictive power of the model. Our models are an important first step, providing proof of principle that it is feasible to predict immune responses and protection in pigs. This approach now provides a path to develop correlates of protection for mucosally delivered vaccines in samples that are easily accessed in clinical trials. [ABSTRACT FROM AUTHOR]

Objective: To investigate the inhibitory effect of Tanreqing Injection (TRQ) on the activation of nucleotide-binding oligomerization domain-like receptor pyrin domain containing 3 (NLRP3) inflammasome in macrophages infected with influenza A virus and the underlying mechanism based on mitophagy pathway. Methods: The inflammatory model of murine macrophage J774A.1 induced by influenza A virus [strain A/Puerto Rico/8/1934 (H1N1), PR8] was constructed and treated by TRQ, while the mitochondria-targeted antioxidant Mito-TEMPO and autophagy specific inhibitor 3-methyladenine (3-MA) were used as controls to intensively study the anti-inflammatory mechanism of TRQ based on mitophagy-mitochondrial reactive oxygen species (mtROS)-NLRP3 inflammasome pathway. The levels of NLRP3, Caspase-1 p20, microtubule-associated protein 1 light chain 3 II (LC3II) and P62 proteins were measured by Western blot. The release of interleukin-1β (IL-1β) was tested by enzyme linked immunosorbent assay, the mtROS level was detected by flow cytometry, and the immunofluorescence and co-localization of LC3 and mitochondria were observed under confocal laser scanning microscopy. Results: Similar to the effect of Mito-TEMPO and contrary to the results of 3-MA treatment, TRQ could significantly reduce the expressions of NLRP3, Caspase-1 p20, and autophagy adaptor P62, promote the expression of autophagy marker LC3II, enhance the mitochondrial fluorescence intensity, and inhibit the release of mtROS and IL-1β (all P<0.01). Moreover, LC3 was co-localized with mitochondria, confirming the type of mitophagy. Conclusion: TRQ could reduce the level of mtROS by promoting mitophagy in macrophages infected with influenza A virus, thus inhibiting the activation of NLRP3 inflammasome and the release of IL-1β, and attenuating the inflammatory response. [ABSTRACT FROM AUTHOR]

ABSTRACT Introduction Methods Results Conclusions In December 2021, influenza A viruses (IAV) were detected in a population of farmed mink in British Columbia, Canada. Circulation of IAVs in farmed mink populations has raised public health concerns due to similarities between mustelid and human respiratory physiology, potentially facilitating spillover of zoonotic influenzas from livestock.Oropharyngeal specimens were collected from mink as part of a surveillance program for SARS‐CoV‐2. Diagnostic RT‐qPCR testing was performed using a multiplex assay targeting SARS‐CoV‐2, IAV, influenza B virus and respiratory syncytial virus. Whole viral genome sequencing was conducted on IAV‐positive specimens, followed by phylogenetic analysis with other animal and human IAV genome sequences from large global databases.IAVs were detected in 17 of 65 mink by RT‐qPCR. Based on genomic sequencing and phylogenetic analysis, these IAVs were subtyped as H3N2s that originated from reassortment of swine H3N2 (clade 1990.4 h), human seasonal H1N1 (pdm09) and swine H1N2 (clade 1A.1.1.3). This reassortant has been subsequently observed in swine in several Midwest American states, as well as in swine and turkeys in Ontario, suggesting its spillover into farmed mink in British Columbia was incidental to its broader dissemination in North American swine populations.These detections reaffirm the need for extensive genomic surveillance of IAVs in swine populations to monitor reassortments that might become public health concerns. They also highlight the need for closer surveillance of IAVs in mink to preserve animal health, protect agricultural interests, and monitor potential zoonotic threats. [ABSTRACT FROM AUTHOR]

Background: The lactate-to-albumin ratio (LAR) is predictive of disease prognosis in some cases. However, the clinical significance of LAR in patients with influenza A virus-induced acute respiratory distress syndrome (ARDS) has yet to be explored. This study aims to investigate whether LAR can be used as a predictor of influenza A virus-induced ARDS. Methods: In this single-center retrospective study, we enrolled 105 patients with influenza A virus pneumonia into the study and divided the patients into an ARDS group (74 patients) and a non-ARDS group (31 patients) during hospitalization. Clinical characteristics and laboratory data were collected within 24 h after admission. We explored the risk factors for ARDS using logistic regression analysis. The predictive performance of potential risk factors for ARDS and ARDS-associated complications were evaluated by receiver operating characteristic (ROC) curves, and Pearson's correlation analysis was used to evaluate the correlations between risk factors and clinical and laboratory variables. Results: LAR was an independent predictor for the development of ARDS in patients with influenza A virus pneumonia and was significantly predictive for ARDS. LAR's area under the curve (AUC) was higher than that of lactate and albumin alone; its AUC was 0.878, with a sensitivity of 71.6% and a specificity of 96.8%. The optimal ROC threshold for distinguishing ARDS from non-ARDS cases was 44.81 × 10− 3. Correlation analysis indicated that LAR was positively associated with duration of invasive ventilation, and APACHE II and SOFA scores in ARDS patients but was negatively associated with PaO2/FiO2 (p < 0.001). Subsequent ROC curve analysis determined that LAR was a robust predictor for the 14-day invasive ventilation (AUC = 0.924), septic shock (AUC = 0.860), and hepatic injury (AUC = 0.905) in hospitalized ARDS patients. It also showed a promising predictive value for 28-day mortality (AUC = 0.881). Conclusion: LAR strongly predicted ARDS development in patients with influenza A virus pneumonia. It showed a significant correlation with disease severity and provided promising predictive efficiency for extrapulmonary complications and 28-day mortality in patients with influenza A virus-induced ARDS. [ABSTRACT FROM AUTHOR]

Nuclear export protein (NEP) of the influenza A virus, being one of the key components of the virus life cycle, is a promising model for studying characteristics of formation of amyloids by viral proteins. Using atomic force microscopy, comparative study of aggregation properties of the recombinant NEP variants, including the protein of natural structure, as well as modified variants with N- and C-terminal affinity His6-tags, was carried out. All protein variants under physiological conditions are capable of forming aggregates of various morphologies: micelle-like nanoparticles, flexible protofibrils, rigid amyloid fibrils, etc. His6-tag attached to the C-terminus has the greatest effect on aggregation kinetics and morphology of nanoparticles, which indicates important role of the C-terminal domain in the process of protein self-assembly. Molecular dynamics simulation did not reveal substantial influence of the His6-containing fragments on the protein structure, but demonstrated some variations in the mobility of these fragments that may explain the observed differences in the aggregation kinetics of the different NEP variants. Hypothetical mechanisms for formation and interconversion of various aggregates are considered. [ABSTRACT FROM AUTHOR]

Signal transducers and activators of transcription (STATs) function both as signal transducers and transcription regulators. STAT proteins are involved in the signaling pathways of cytokines and growth factors; thus, they participate in various life activities and play especially critical roles in antiviral immunity. Convincing evidence suggests that STATs can establish innate immune status through multiple mechanisms, efficiently eliminating pathogens. STAT1 and STAT2 can activate the antiviral status by regulating the interferon (IFN) signal. In turn, suppressor of cytokine signaling-1 (SOCS1) and SOCS3 can modulate the activation of STATs and suppress the excessive antiviral immune response. STAT3 not only regulates the IFN signal, but also transduces Interleukin-6 (IL-6) to stimulate the host antiviral response. The function of STAT4 and STAT5 is related to CD4+ T helper (Th) cells, and the specific mechanism of STAT5 remains to be studied. STAT6 mainly exerts antiviral effects by mediating IL-4 and IL-13 signaling. Here, we reviewed the recent findings regarding the critical roles of STATs in the interactions between the host and viral infection, especially influenza A virus (IAV) infection. We also discuss the molecular mechanisms underlying their functions in antiviral responses. [ABSTRACT FROM AUTHOR]

The circulation of seasonal influenza A viruses (IAVs) in humans relies on effective evasion and subversion of the host immune response. While the evolution of seasonal H1N1 and H3N2 viruses to avoid humoral immunity is well characterized, relatively little is known about the evolution of innate immune antagonism phenotypes in these viruses. Numerous studies have established that only a small subset of infected cells is responsible for initiating the type I and type III interferon (IFN) response during IAV infection, emphasizing the importance of single cell studies to accurately characterize the IFN response during infection. We developed a flow cytometry-based method to examine transcriptional changes in IFN and interferon stimulated gene (ISG) expression at the single cell level. We observed that NS segments derived from seasonal H3N2 viruses are more efficient at antagonizing IFN signaling but less effective at suppressing IFN induction, compared to the pdm2009 H1N1 lineage. We compared a collection of NS segments spanning the natural history of the current seasonal IAV lineages and demonstrate long periods of stability in IFN antagonism potential, punctuated by occasional phenotypic shifts. Altogether, our data reveal significant differences in how seasonal and pandemic H1N1 and H3N2 viruses antagonize the human IFN response at the single cell level. Author summary: Successful replication and transmission of influenza A viruses (IAVs) requires effective subversion of the innate immune response. We developed a new single cell method to examine the interferon (IFN) response to IAV infection at the single cell level. We found that the seasonal H3N2 and H1N1 lineages differ significantly in their ability to antagonize IFN signaling and suppress IFN induction, revealing unexpected nuances in how these lineages interact with the innate immune system. We also directly examined how the IFN antagonism potential of the viral NS segment has evolved over compared decades of circulation in humans. Altogether, our data reveal significant differences in the capacity of the seasonal H1N1 and H3N2 lineages to antagonize the IFN response at the single cell level over decades of circulation and evolution. [ABSTRACT FROM AUTHOR]

Introduction: Coronaviruses and influenza viruses are significant respiratory pathogens that cause severe disease burdens and economic losses for society. Due to their diversity and evolution, vaccines typically require periodic updating to remain effective. An additional challenge is imposed by the possible coinfection of SARS-CoV-2 and influenza, which could increase disease severity. Methods: We developed a vaccinia vaccine, named rTTV-RBD-HA2, broadly targeting coronaviruses and influenza viruses. This vaccine expresses three fusion proteins, each comprising the receptor-binding domain (RBD) from one of the three highly pathogenic coronaviruses (SARS-CoV-2, SARS-CoV, and MERS-CoV) and the conserved HA stalk region from two influenza viruses (pdmH1N1 and nH7N9) belonging to groups 1 and 2, respectively. Results: The multi-targeting nature of this vaccine was validated by its success in inducing antibody responses to the three RBDs and both group 1 and 2 HAs in mice. Importantly, it also generated robust T cell responses to all the immunogens, which could be mobilized to the lung through intranasal vaccination. Consistent with this broad immunogenicity profile, when administered via intramuscular priming and two intranasal boosts, rTTV-RBD-HA2 effectively protected vaccinated mice against challenges of the wild-type SARS-CoV-2 virus, the Omicron XBB variant, and the influenza A H1N1 and H3N2 viruses. Discussion: Our results collectively support the candidacy of recombinant rTTV-RBD-HA2 as a novel respiratory virus vaccine that provides cross-protection against coronaviruses and influenza viruses, surpassing the breadth of previous vaccines. Additionally, they underscore the importance of establishing a strong mucosal T cell response in the development of a universal respiratory virus vaccine. [ABSTRACT FROM AUTHOR]

Following the relaxation of control measures for COVID-19 in China in December 2022, there was a resurgence of influenza A among children in Linyi. This research aims to analyze the epidemiology and genetic characteristics of influenza A viruses circulating among children in Linyi from April 2022 to March 2024. Throat swab specimens were collected from children with influenza-like illness (ILI), and the types of influenza were identified. The hemagglutinin (HA) genes of influenza A viruses were amplified using reverse transcription-polymerase chain reaction (RT-PCR) and then sequenced. Subsequently, the gene characteristics and phylogenetics of these sequences were analyzed. A total of 6258 cases of influenza A were tested from 54,926 children with ILI over two years, showing three epidemic waves: one in summer 2022 and two in spring and winter 2023. The epidemic waves in summer 2022 and winter 2023 were caused by influenza A(H3N2) viruses. In spring 2023, influenza A(H1N1)pdm09 viruses accounted for 77.1% and A(H3N2) viruses accounted for 22.9%, respectively. The influenza A(H1N1)pdm09 viruses belonged to clade 6B.1A.5a.2a, while the influenza A(H3N2) viruses evolved from clade 3C.2a1b.2a.1a to 3C.2a1b.2a.2a.3a.1. Compared with the vaccine strain of the Northern Hemisphere of the current year, multiple amino acid substitutions and glycosylation sites changes were observed in the HA protein that most likely resulted in antigenic drift. The influenza A viruses have been circulating and evolving persistently in Linyi from 2022 to 2024. Continuous surveillance is essential for comprehending the dynamics of influenza in the post-COVID-19 era. [ABSTRACT FROM AUTHOR]

A better understanding of viral factors that contribute to influenza A virus (IAV) airborne transmission is crucial for pandemic preparedness. A limited capacity for airborne transmission was recently observed in a human A(H9N2) virus isolate (A/Anhui-Lujiang/39/2018, AL/39) that possesses a leucine (L) residue at position HA1-226 (H3 numbering), indicative of human-like receptor binding potential. To evaluate the roles of the residue at this position in virus fitness and airborne transmission, a wild-type AL/39 (AL/39-wt) and a mutant virus (AL/39-HA1-L226Q) with a single substitution at position HA1-226 from leucine to glutamine (Q), a consensus residue in avian influenza viruses, were rescued and assessed in the ferret model. The AL/39-HA1-L226Q virus lost the ability to transmit by air, although the virus had a comparable capacity for replication, induced similar levels of host innate immune responses, and was detected at comparable levels in the air surrounding the inoculated ferrets relative to AL/39-wt virus. However, ferrets showed a lower susceptibility to AL/39-HA1-L226Q virus infection compared to the AL/39-wt virus. Furthermore, the AL/39-wt and AL/39-HA1-L226Q viruses each gained dominance in different anatomic sites in the respiratory tract in a co-infection competition model in ferrets. Taken together, our findings demonstrate that the increasing dominance of HA1-L226 residue in an avian A(H9N2) virus plays multifaceted roles in virus infection and transmission in the ferret model, including improved virus fitness and infectivity. [ABSTRACT FROM AUTHOR]

Global evolutionary dynamics of influenza A virus (IAV) are fundamentally driven by the extent of virus diversity generated, transmitted, and shaped in individual hosts. How vaccination affects the degree of IAV genetic diversity that can be transmitted and expanded in pigs is unknown. To evaluate the effect of vaccination on the transmission of genetically distinct IAV variants and their diversity after transmission in pigs, we examined the whole genome of IAV recovered from the nasal cavities of pigs vaccinated with different influenza immunization regimens after being infected simultaneously by H1N1 and H3N2 IAVs using a seeder pig model. We found that the seeder pigs harbored more diversified virus populations than the contact pigs. Among contact pigs, H3N2 and H1N1 viruses recovered from pigs vaccinated with a single dose of an unmatched modified live vaccine generally accumulated more extensive genetic mutations than non-vaccinated pigs. Furthermore, the non-sterilizing immunity elicited by the single-dose-modified live vaccine may have exerted positive selection on H1 antigenic regions as we detected significantly higher nonsynonymous but lower synonymous evolutionary rates in H1 antigenic regions than non-antigenic regions. In addition, we observed that the vaccinated pigs shared significantly less proportion of H3N2 variants with seeder pigs than unvaccinated pigs. These results indicated that vaccination might reduce the impact of transmitted influenza variants on the overall diversity of IAV populations harbored in recipient pigs and that within-host genetic selection of IAV is more likely to occur in pigs vaccinated with improperly matched vaccines. [ABSTRACT FROM AUTHOR]

Simple Summary: Studies have found that lncRNAs impact biological processes and IAV replication, yet it is unclear whether IAV could counter host innate immunity by weakening lncRNA-mediated antiviral functions. Our aim was to explore this. We identified LRIR2, which regulates IAV replication. Its expression drops during IAV infection, but overexpression inhibits IAV replication, as it can impede the virus's genome transcription and replication. The antiviral effect depends on specific stem-loop structures. In conclusion, IAV can indeed undermine host immunity via LRIR2. This offers insights into viral strategies and will aid in designing anti-IAV drugs, benefiting society's fight against influenza. A growing number of studies have shown that long non-coding RNAs (lncRNAs) are implicated in many biological processes, including the regulation of innate immunity and IAV replication. In addition, IAV has been found to be able to hijack lncRNAs and thus antagonize host innate immunity. Nonetheless, whether IAV can antagonize host innate immunity by weakening the antiviral functions mediated by lncRNAs is unknown. In this study, we found that LncRNA-ENST00000491430 regulates IAV replication and named it LRIR2. Interestingly, we found that the expression of LRIR2 was suppressed during IAV infection. Importantly, LRIR2 overexpression inhibited IAV replication, suggesting that LRIR2 plays an antiviral role during IAV infection. Mechanistically, we demonstrated that LRIR2 inhibits the transcription and replication of the IAV genome. In addition, the antiviral function of LRIR2 is mainly dependent on the stem-loop structures of 1–118 nt and 575–683 nt. Taken together, IAV could antagonize host innate immunity by weakening the LncRNA-LRIR2-mediated antiviral functions. Our study provides novel perspectives into viral strategies to antagonize host innate immunity. It lays a theoretical foundation for the design of novel anti-IAV drugs that target host lncRNAs or the antagonism effect. [ABSTRACT FROM AUTHOR]

Background/Objectives: Infectious diseases represent a serious threat due to rising antimicrobial resistance, particularly among multidrug-resistant bacteria and influenza viruses. Metal-based complexes, such as N-heterocyclic carbene–gold (NHC–gold) complexes, show promising therapeutic potential due to their ability to inhibit various pathogens. Methods: Eight NHC–gold complexes were synthesized and tested for antibacterial activity against Escherichia coli, Enterococcus faecalis, Staphylococcus aureus, and for anti-influenza activity in lung and bronchial epithelial cells infected with influenza virus A/H1N1. Antibacterial activity was assessed through the determination of the minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC), while the viral load was quantified using qRT-PCR. Results: Complexes 3, 4, and 6 showed significant antibacterial activity at concentrations of 10–20 µg/mL. Additionally, these complexes significantly reduced viral load, with complexes 3 and 4 markedly inhibiting replication. Conclusions: These findings support the potential use of NHC–gold complexes in combined antimicrobial and antiviral therapies, representing an attractive option for fighting resistant infections. [ABSTRACT FROM AUTHOR]

Acute respiratory infection is one of the leading causes of morbidity and mortality among children in low- and middle-income countries. Due to limited diagnostic capability, many respiratory pathogens causing influenza-like illness go undetected. This study aims to detect enterovirus, respiratory syncytial virus, seasonal coronavirus and respiratory pathogens other than influenza in patients with influenza-like illness. A total of 997 (54.3%) respiratory samples (collected in the years 2016–2018) were randomly selected from 1835 influenza-negative samples. The xTAG Respiratory Viral Panel (RVP) FAST v2 panel was used to detect respiratory pathogens including enterovirus/rhinovirus (EV/RV), respiratory syncytial virus (RSV) and seasonal coronavirus (HKU1, OC43, NL63 and 229E). A total of 78.7% (785/997) were positive for respiratory viruses. Of these viruses, EV/RV was detected in 36.3% (362/997), which is the highest number, followed by RSV in 13.7% (137/997). The seasonal coronaviruses HKU1 and OC43 (1.5%, 15/997), NL63 (1.2%, 12/997) and 229E (1%, 10/997) were also detected. The EV/RV-positive samples were sequenced, of which 16.7% (5/30) were confirmed as EVs and were identified as coxsackievirus (CV) types CVB5, CVB3, CV21 and CVB2. The findings of this study highlight the importance of strengthening influenza-like illness surveillance programs in the region by including other respiratory viruses in their scope besides seasonal human influenza viruses. [ABSTRACT FROM AUTHOR]

This study evaluated influenza A virus (IAV) detection and genetic diversity over time, specifically at the human–swine interface in breeding and nursery farms. Active surveillance was performed monthly in five swine farms in the Midwest United States targeting the employees, the prewean piglets at sow farms, and the same cohort of piglets in downstream nurseries. In addition, information was collected at enrollment for each employee and farm to assess production management practices, IAV vaccination status, diagnostic procedures, and biosecurity. Farm employee and swine samples were screened by IAV reverse transcription real-time polymerase chain reaction (RT-rtPCR), followed by IAV subtyping RT-rtPCR and whole genome sequencing on PCR-positive samples. This study showed higher positivity of IAV RNA detection in nursery pigs compared to prewean pigs, and more whole genome sequences were also obtained in the nursery phase. Surveillance of farm employees revealed two detections of H3N2 representing the 2022–2023 human IAV season, confirming the presence of influenza in farm employees while present at work, and thus highlighting the importance of biosecurity measures at the human–swine interface. This study highlights the importance of routine active surveillance to understand the dynamics of IAV at the farm level in both farm employees and swine. [ABSTRACT FROM AUTHOR]

Seaweed-derived compounds are a renewable resource utilised in the manufacturing and food industry. This study focuses on an enriched seaweed extract (ESE) isolated from Ascophyllum nodosum. The ESE was screened for antiviral activity by plaque reduction assays against influenza A/Puerto Rico/8/1934 H1N1 (PR8), A/X-31 H3N2 (X31) and A/England/195/2009 H1N1 (Eng195), resulting in the complete inhibition of infection. Time of addition assays and FACS analysis were used to help determine the modes of action. The therapeutic potential of ESE was then explored using differentiated human bronchiole epithelial cells at the air–liquid interphase and a murine model challenged with IAV. The data indicates that ESE primarily interacts directly with virions, reducing mean virus–cell binding by 79.3% with 0.01 mg/mL ESE. Interestingly, ESE also inhibits the early and late stages of the influenza A lifecycle when treatment occurs after cell binding. This inhibitory effect appears to reduce the internalisation of the virus and the release of progeny virus by targeting neuraminidase activity, with IC50 values of 0.5 μg/mL for X31, 3.2 μg/mL for Eng195 and 12.8 μg/mL for PR8. The intranasal administration of 5 mg/kg ESE in mice infected with IAV reduced the viral load in lung tissue. ESE may be a promising broad-acting antiviral agent in the treatment of influenza infections. [ABSTRACT FROM AUTHOR]

Simple Summary: Influenza A is a zoonotic disease that affects dogs. In this work, we performed a meta-analysis of the prevalence and seroprevalence of reports from all over the world. We found a combined seroprevalence of 7.6% for subtype H3N8, 7.44% for subtype H3N2, and 3.10% for subtype H1N1. Prevalence values were 0.395% for subtype H3N8 and 17.8% for subtype H3N2. The studies that evaluated seroprevalence in the H3N2 and H1N1 subtypes showed no publication bias, while the H3N8 subtype showed bias in one test and not in another. Dogs, as carriers of influenza A, are in direct contact with humans, pigs, equines, and birds; however, so far it is unknown whether they can function as a reservoir of the influenza A virus, so more studies are needed, with larger sample sizes and a wider distribution throughout the world. Knowing the prevalence and seroprevalence values in dogs is important in the creation of surveillance systems that allow the prevention of outbreaks. Influenza A is a zoonotic disease that affects dogs, pigs, horses, poultry, and birds. In this report, a meta-analysis according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) was conducted. Studies of influenza A viruses in dogs providing prevalence or seroprevalence in any location worldwide were included. The results in this study show that the seroprevalence for the H3N8 influenza subtype was 7.96% (95% CI: 2.03–16.8, p < 0.001), for the H3N2 subtype was 7.44% (95% CI: 4.51–10.5, p < 0.001), and for the H1N1 subtype was 3.10% (95% CI: 0.890–6.01, p < 0.001). In the case of the prevalence analysis, a prevalence of 0.395% (95% CI: 0.160–2.44) for the H3N8 subtype. For the H3N2 subtype, a prevalence of 17.8% (95% CI: 6.66–32.6, p < 0.001) was found. No publication bias was observed in the studies evaluating seroprevalence in the H3N2 and H1N1 subtypes. In the H3N8 subtype, Begg's test indicated publication bias, but Egger's test showed no bias. It is essential to know the approximate prevalence and seroprevalence worldwide of canine influenza, so this study reports the presence of influenza subtypes in dogs, placing this species as a reservoir for human, swine, equine, and avian influenza A viruses. [ABSTRACT FROM AUTHOR]

Influenza A virus (IAV) is the principal cause of seasonal flu and is often reported among pilgrims in Saudi Arabia (SA) due to their mass gatherings. The epidemiological, phylogenetic, and molecular details of A/H1N1pdm2009 in 200 clinical samples collected from hospitalized children in Riyadh during two epidemic seasons (2020/21 and 2021/22) are reported in this study. A total of 21 (10.50%) samples were positive for IAV, as determined using PCR. Fifteen isolates (71.42%) were identified as H1N1pdm2009: eight (53.33%) samples were from males, seven (46.67%) from females. The prevalence of H1N1pdm2009 isolates was significantly (p < 0.05) higher among the age group 15-64 years than the other age groups. A comparison of hemagglutinin (HA) and neuraminidase (NA) amino acid sequences between SA H1N1pdm and certain vaccine strains revealed 19 mutations relative to reference strain A/ California/07/2009. Among them, eight (0.47%) were in HA, and eight (0.56%) were in NA sequences that differed from vaccine strains. All isolates of the 2020-2022 seasons exhibited N- and O-glycosylation sites comparable to vaccine strains. Phylogenetically their HA and NA genes are divided into different clades. Most of the studied isolates (five) belonged to clade 5a.1 of HA. These data identify the genetic makeup of circulating influenza virus subtypes. [ABSTRACT FROM AUTHOR]