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BACKGROUND: The effect of vaccination on the epigenome remains poorly characterized. In previous research, we identified an association between seroprotection against influenza and DNA methylation at sites associated with the RIG-1 signaling pathway, which recognizes viral double-stranded RNA and leads to a type I interferon response. However, these studies did not fully account for confounding factors including age, gender, and BMI, along with changes in cell-type composition. RESULTS: Here, we studied the influenza vaccine response in a longitudinal cohort vaccinated over two consecutive years (2019-2020 and 2020-2021), using peripheral blood mononuclear cells and a targeted DNA methylation approach. To address the effects of multiple factors on the epigenome, we designed a multivariate multiple regression model that included seroprotection levels as quantified by the hemagglutination-inhibition (HAI) assay test. CONCLUSIONS: Our findings indicate that 179 methylation sites can be combined as potential signatures to predict seroprotection. These sites were not only enriched for genes involved in the regulation of the RIG-I signaling pathway, as found previously, but also enriched for other genes associated with innate immunity to viruses and the transcription factor binding sites of BRD4, which is known to impact T cell memory. We propose a model to suggest that the RIG-I pathway and BRD4 could potentially be modulated to improve immunization strategies.

The risk of severe disease caused by co-infection with SARS-CoV-2 and influenza virus (IAV) raises an annual concern for global public health. Extracellular vesicles (EV) derived from mesenchymal stem cells (MSC) possess anti-inflammatory properties that can attenuate the inflammatory cytokine levels induced by viral infection. However, the effects of MSC-EV treatment on SARS-CoV-2 and IAV co-infection have not been elucidated. In the present study, we co-induced lung epithelial cells (EpiC) with SARS-CoV-2 Spike protein (S) and H1N1 influenza viral HA protein (HA) and found robust upregulation of inflammatory cytokines in comparison to those induced by either S or HA protein. Consequently, treatment of lung endothelial cells (EC) with conditioned medium from EpiC co-induced by both S and HA proteins resulted in increased apoptosis and impaired angiogenic ability, suggesting the effects of co-induction on epithelial-endothelial crosstalk. In addition, lung EpiC co-induced by both S and HA proteins showed paracrine effects on the recruitment of immune cells, including monocytes, macrophages and neutrophils. Of Note, EV derived from Wharton Jelly's MSC (WJ-EV) transferred miR-146a to recipient lung EpiC, which impaired TRAF6 and IRAK1, resulting in the downregulation of NF-κB pathway and secretion of inflammatory cytokines, rescuing the epithelial-endothelial crosstalk, and reducing the elevation of immune cell recruitment. Moreover, the anti-inflammatory properties of WJ-EV are affected by type 2 Diabetes Mellitus. WJ-EV derived from donors with type 2 Diabetes Mellitus contained less miR-146a and showed impaired ability to downregulate the NF-κB pathway and inflammatory cytokines in recipient cells. Taken together, our findings demonstrate the role of miR-146a in targeting the NF-κB pathway in the anti-inflammatory abilities of WJ-EV, which is a promising strategy to rescue the epithelial-endothelial crosstalk altered by co-infection with SARS-CoV-2 and IAV. [ABSTRACT FROM AUTHOR]

Influenza poses a significant threat to global health, with the ability to cause severe epidemics and pandemics. The polymerase basic protein 2 (PB2) of the influenza virus plays a crucial role in the viral replication process, making the CAP-binding domain of PB2 an attractive target for antiviral drug development. This study aimed to identify and evaluate potential inhibitors of the influenza polymerase PB2 CAP-binding domain using computational drug discovery methods. We employed a comprehensive computational approach involving virtual screening, molecular docking, and 500 ns molecular dynamics (MD) simulations. Compounds were selected from the Diverse lib database and assessed for their binding affinity and stability in interaction with the PB2 CAP-binding domain. The study utilized the generalized amber force field (GAFF) for MD simulations to further evaluate the dynamic behaviour and stability of the interactions. Among the screened compounds, compounds 1, 3, and 4 showed promising binding affinities. Compound 4 demonstrated the highest binding stability and the most favourable free energy profile, indicating strong and consistent interaction with the target domain. Compound 3 displayed moderate stability with dynamic conformational changes, while Compound 1 maintained robust interactions throughout the simulations. Comparative analyses of these compounds against a control compound highlighted their potential efficacy. Compound 4 emerged as the most promising inhibitor, with substantial stability and strong binding affinity to the PB2 CAP-binding domain. These findings suggest that compound 4, along with compounds 1 and 3, holds the potential for further development into effective antiviral agents against influenza. Future studies should focus on experimental validation of these compounds and exploration of resistance mechanisms to enhance their therapeutic utility. [ABSTRACT FROM AUTHOR]

Introduction: In Brazil, few studies were performed regarding the co-detection of respiratory viruses in hospitalized patients. In this way, the study aimed to describe the epidemiological profile of hospitalized patients due to influenza virus infection that presented co-detection with another respiratory virus. Methods: The epidemiological analysis was made by collecting data from Open-Data-SUS. The study comprised patients infected by the influenza A or B virus with positive co-detection of another respiratory virus, such as adenovirus, bocavirus, metapneumovirus, parainfluenza virus (types 1, 2, 3, and 4), rhinovirus, and respiratory syncytial virus (RSV). The markers [gender, age, clinical signs and symptoms, comorbidities, need for intensive care unit (ICU) treatment, and need for ventilatory support] were associated with the chance of death. The data was collected during the first three years of the coronavirus disease (COVID)-19 pandemic--from December 19, 2019, to April 06, 2023. Results: A total of 477 patients were included, among them, the influenza A virus was detected in 400 (83.9%) cases. The co-detection occurred, respectively, for RSV (53.0%), rhinovirus (14.0%), adenovirus (13.4%), parainfluenza virus type 1 (10.7%), parainfluenza virus type 3 (5.2%), metapneumovirus (3.8%), parainfluenza virus type 2 (3.6%), bocavirus (3.4%), and parainfluenza virus type 4 (1.5%). The co-detection rate was higher in the male sex (50.7%), age between 0-12 years of age (65.8%), and white individuals (61.8%). The most common clinical symptoms were cough (90.6%), dyspnea (78.8%), and fever (78.6%). A total of 167 (35.0%) people had at least one comorbidity, mainly cardiopathy (14.3%), asthma (8.4%), and diabetes mellitus (7.3%). The need for ICU treatment occurred in 147 (30.8%) cases, with most of them needing ventilatory support (66.8%), mainly non-invasive ones (57.2%). A total of 33 (6.9%) patients died and the main predictors of death were bocavirus infection (OR = 14.78 [95%CI = 2.84-76.98]), metapneumovirus infection (OR = 8.50 [95%CI = 1.86-38.78]), race (other races vs. white people) (OR = 3.67 [95%CI = 1.39-9.74]), cardiopathy (OR = 3.48 [95%CI = 1.13-10.71]), and need for ICU treatment (OR = 7.64 [95%CI = 2.44-23.92]). Conclusion: Co-detection between the influenza virus and other respiratory viruses occurred, mainly with RSV, rhinovirus, and adenovirus being more common in men, white people, and in the juvenile phase. Co-detection of influenza virus with bocavirus and metapneumovirus was associated with an increased chance of death. Other factors such as race, cardiopathy, and the need for an ICU were also associated with a higher chance of death. [ABSTRACT FROM AUTHOR]

Introduction: Influenza-associated pulmonary aspergillosis is associated with high mortality rates and limited treatment options. The current standard practice involves treating each pathogen separately. However, the use of antifungal drugs can lead to serious side effects, and the presence of triazole-resistant Aspergillus strains can complicate antifungal therapy. In addition, drug-resistant influenza viruses are becoming an increasing concern in clinics. A drug that affects fungal and viral propagation could overcome these disadvantages. Thus, we conducted a study to examine the antifungal and antiviral properties of ProcCluster® and procaine hydrochloride (HCl), which are prodrugs derived from the local anesthetic procaine. Methods: Conidia of different A. fumigatus strains, A. flavus and A. terreus were treated with the test substances in a human cell-free system and antifungal properties were analyzed either by fluorescence microscopy or absorption measurements. Changes in metabolic activity and intracellular Ca2+ distribution during treatment of A. fumigatus with ProcCluster® were observed using fluorescence microscopy. In addition, antifungal and antiviral properties of ProcCluster® and procaine HCl were investigated during in vitro coinfection of lung epithelial cells with A. fumigatus and influenza A viruses (IAV). Analysis was performed by fluorescence microscopy, standard plaque assay and Western blot assay. Results: Both substances inhibited the growth of the fungus, even when applied after germination or in the presence of purified IAV particles. ProcCluster® remained effective against triazole-resistant A. fumigatus strains. However, the addition of CaCl2 reversed the antifungal effect, indicating that ProcCluster® inhibited fungal growth by disrupting fungal Ca2+ homeostasis. Furthermore, in vitro studies showed that ProcCluster® and procaine HCl reduced the pathogen load of IAV and A. fumigatus during coinfection. Finally, the combination of ProcCluster® with the antiviral drug favipiravir exhibited increased antipathogenic activity, particularly against IAV replication. Discussion: This research highlights ProcCluster® and procaine HCl as substances with anti-infective properties against various pathogens. [ABSTRACT FROM AUTHOR]

Background: Fei-Yan-Qing-Hua decoction (FYQHD) is derived from the well-known Ma Xing Shi Gan decoction, which was documented in Zhang Zhong Jing’s “Treatise on Exogenous Febrile Disease” during the Han Dynasty. Although FYQHD has been used in the treatment of pneumonia and has demonstrated clinical efficacy for decades, the underlying mechanism by which FYQHD protects against influenza virus infection through modulation of gut flora remains unclear. Here, we examined the regulatory impacts of FYQHD on an influenza virus-infected mouse model and explored the mechanisms involved. Methods: An infectious mouse model was created by intranasal instillation of influenza A virus (IAV). The effectiveness of FYQHD was assessed through various measures, including weight loss, lung wet/dry ratio, oxidative stress levels, viral load in lung tissues, and intestinal injuries. Changes in gut microbiota and SCFA production were also examined. Results: The results showed that FYQHD significantly reduced viral load, increased the production of type I interferon (IFN-I), and restored the integrity of the intestinal barrier following IAV challenge. Additionally, FYQHD significantly corrected the dysbiosis of gut microbiota induced by influenza virus infection, enhancing the abundance of SCFA-producing bacteria and acetate production. However, the depletion of gut microbiota significantly attenuated the protective effects of FYQHD against influenza virus infection. In vitro, the antiviral effect of acetate was demonstrated through the upregulation of concentrations of IFN-β. Conclusion: FYQHD attenuates influenza virus-induced lung and intestinal injuries by boosting the host antiviral response through increasing the abundance of Lachnospiraceae_NK4A136 and Roseburia, along with elevated acetate levels. The study advances our understanding of the therapeutic mechanisms of FYQHD and provides a theoretical basis for the application of FYQHD in the treatment of influenza. [ABSTRACT FROM AUTHOR]

Introduction: The influenza virus is recognized as the primary cause of human respiratory diseases, with the current influenza vaccine primarily offering strainspecific immunity and limited protection against drifting strains. Considering this, the development of a broad-spectrum influenza vaccine capable of inducing effective immunity is considered the future direction in combating influenza. Methods: The present study proposes a novel mRNA-based multi-epitope influenza vaccine, which combines three conserved antigens derived from the influenza A virus. The antigens consist of M2 ion channel's extracellular domain (M2e), the conserved epitope of located in HA2 of hemagglutinin (H1, H3, B), and HA1 of hemagglutinin. At the same time, trimeric sequences and ferritin were conjugated separately to investigate the immune effects of antigen multivalent presentation. Results: Immunization studies conducted on C57BL/6 mice with these vaccines revealed that they can elicit both humoral immunity and CD4+ and CD8+ T cell responses, which collectively contribute to enhancing cross-protective effects. The virus challenge results showed that vaccinated groups had significantly reduced lung damage, lower viral loads in the lungs, nasal turbinates, and trachea, as well as decreased levels of pro-inflammatory cytokines. Conclusion: These findings clearly demonstrate the wide range of protective effects provided by these vaccines against H1N1 and B influenza viruses. The present finding highlights the potential of mRNA-based influenza vaccines encoding conserved proteins as a promising strategy for eliciting broadspectrum protective humoral and cellular immunity against H1N1 and B influenza viruses. [ABSTRACT FROM AUTHOR]

The liver plays a crucrial role in detoxification, metabolism, and nutrient storage. Because liver cancer ranks among the top three leading causes of death globally, there is an urgent need for developing treatment strategies for liver cancer. Although traditional approaches such as radiation, chemotherapy, surgical removal, and transplantation are widely practiced, the number of patients with liver cancer continues to increase rapidly each year. Some novel therapeutics for liver cancer have been studied for many years. In the past decade, oncolytic therapy has emerged, in which viruses selectively infect and destroy cancer cells while sparing normal cells. However, oncolytic virotherapy for liver cancer remains relatively obscure due to the aggressive nature of the disease and the limited effectiveness of treatment. To keep pace with the latest developments in oncolytic tumor therapy for liver cancer, this review summarizes basic science studies and clinical trials conducted within 5 years, focusing on the efficacy and safety profiles of the five most commonly used oncolytic viruses: herpes simplex virus, adenovirus, influenza virus, vaccinia virus, and coxsackievirus. [ABSTRACT FROM AUTHOR]

Objective: To investigate the epidemiological characteristics and infections of respiratory syncytial virus (RSV) and influenza viruses in hospitalized elderly patients with respiratory tract infections in Suzhou City, China, and to compare the differences in clinical characteristics and economic burden associated with these two infections. Methods: In this prospective study, pathogenetic testing and clinical data for hospitalized patients aged 60 years and older with respiratory tract infections were collected in five hospitals through stratified cluster sampling from December 2023 to May 2024. Comparative study on epidemic characteristics, clinical features and costs of cases who infected RSV alone and influenza alone were conducted. Results: Among 1,894 cases included, the RSV positivity rate was 5.91% during the 2023–2024 winter-spring season, while the influenza positivity rate was 9.61%. RSV-B was the predominant subtype of RSV, and influenza A (primarily H3N2) was the dominant strain among the influenza-positive cases. Compared with cases infected influenza virus alone, those infected RSV alone had lower occurrence frequency of fever (18.8% vs. 35.7%, P = 0.004), higher occurrence frequency of complications of lower respiratory tract infections (70.8% vs. 54.8%, P = 0.011), higher direct medical costs ($996.2 vs. $841.1, P = 0.017) and total costs ($1019.7 vs. $888.1, P = 0.036). RSV single infection is more common in female cases (P = 0.007) and diabetic cases (P = 0.007) than influenza virus single infection. Conclusions: During the winter and spring months, RSV is the second most common pathogen after influenza virus among older adults hospitalized for respiratory infections in Suzhou, China. Patients infected RSV are more likely to develop complications with lower respiratory tract infections and have higher medical costs than the influenza. RSV infection in the elderly should be emphasized, especially in female patients and diabetic patients. [ABSTRACT FROM AUTHOR]

Background: Common cold coronaviruses (ccCoVs) and influenza virus are common infectious agents causing upper respiratory tract infections (RTIs). However, clinical symptoms, comorbidities, and health effects of ccCoV infection remain understudied. Methods: A retrospective study evaluated 3,935 outpatients with acute upper RTI at a tertiary teaching hospital. The presence of ccCoV and influenza virus was determined by multiplex molecular assay. The demographic, clinical symptoms, and health outcomes were compared between patients with ccCoV (n = 205) and influenza (n = 417) infections. Multivariable logistic regression was employed to evaluate predictors and health outcomes over a one-year follow-up. Results: Sore throat, nasal discharge, headache, and myalgia were more predominant in ccCoV infection; fever was common in influenza. Most patients reported moderate symptoms severity (49.8% ccCoV, 56.1% influenza). Subsequent primary care visits with symptoms of RTI within a year were comparable for both infections (27.3% ccCoV vs. 27.6% influenza). However, patients with influenza reported increased primary care visits for non-RTI episodes and all-cause hospital admission. Baseline comorbidities were associated with increased primary care visits with symptoms of RTI in either ccCoV (adjusted odds ratio [aOR] 2.5; 95% confidence interval [CI] 1.1–5.9; P = 0.034) or influenza (OR 1.9; 95% CI 1.1–3.1; P = 0.017) infections, due probably to the dysregulation of the host immune response following acute infections. In patients infected with influenza infection, dyslipidemia was a predictor for subsequent primary care visits with symptoms of RTI (unadjusted OR 1.8; 95% CI 1.0–3.0; P = 0.040). Conclusions: Both influenza and ccCoV infection pose significant disease burden, especially in patients with comorbidities. The management of comorbidities should be prioritized to mitigate poor health outcomes in infected individuals. [ABSTRACT FROM AUTHOR]

Despite decades of antibody research, it remains challenging to predict the specificity of an antibody solely based on its sequence. Two major obstacles are the lack of appropriate models and the inaccessibility of datasets for model training. In this study, we curated >5,000 influenza hemagglutinin (HA) antibodies by mining research publications and patents, which revealed many distinct sequence features between antibodies to HA head and stem domains. We then leveraged this dataset to develop a lightweight memory B cell language model (mBLM) for sequence-based antibody specificity prediction. Model explainability analysis showed that mBLM could identify key sequence features of HA stem antibodies. Additionally, by applying mBLM to HA antibodies with unknown epitopes, we discovered and experimentally validated many HA stem antibodies. Overall, this study not only advances our molecular understanding of the antibody response to the influenza virus but also provides a valuable resource for applying deep learning to antibody research. • Assembled a dataset of 5,561 published antibodies to influenza HA from 132 donors • Antibodies to HA head and stem domains have distinct convergent sequence features • Developed a lightweight language model (mBLM) for antibody specificity prediction • Discovered HA stem antibodies and key somatic hypermutations using mBLM Predicting antibody specificity based solely on sequence has remained an obstacle in humoral research. Leveraging a curated dataset of >5,000 influenza hemagglutinin (HA) antibodies, Wang et al. develop a lightweight memory B cell language model for antibody specificity prediction. This model identifies unique HA stem antibodies and key antibody sequence features. [ABSTRACT FROM AUTHOR]

On November 13–14, 2023, the National Institute of Allergy and Infectious Diseases (NIAID) in partnership with the Task Force for Global Health, Flu Lab, the Canadian Institutes of Health Research, and the Centers for Disease Control and Prevention convened a meeting on controlled human influenza virus infection model (CHIVIM) studies to review the current research landscape of CHIVIM studies and to generate actionable next steps. Presentations and panel discussions highlighted CHIVIM use cases, regulatory and ethical considerations, innovations, networks and standardization, and the utility of using CHIVIM in vaccine development. This report summarizes the presentations, discussions, key takeaways, and future directions for innovations in CHIVIMs. Experts agreed that CHIVIM studies can be valuable for the study of influenza infection, immune response, and transmission. Furthermore, they may have utility in the development of vaccines and other medical countermeasures; however, the use of CHIVIMs to de‐risk clinical development of investigational vaccines should employ a cautious approach. Endpoints in CHIVIM studies should be tailored to the specific use case. CHIVIM studies can provide useful supporting data for vaccine licensure but are not required and do not obviate the need for the conduct of field efficacy trials. Future directions in this field include the continued expansion of capacity to conduct CHIVIM studies, development of a broad panel of challenge viruses and assay reagents and standards that can be shared, streamlining of manufacturing processes, the exploration of targeted delivery of virus to the lower respiratory tract, efforts to more closely replicate natural influenza disease in CHIVIM, alignment on a definition of breadth to facilitate development of more broadly protective/universal vaccine approaches, and continued collaboration between stakeholders. [ABSTRACT FROM AUTHOR]

Influenza viruses pose significant public health threats because they can cause seasonal outbreaks and global pandemics. Current preventive measures, including vaccines and antiviral drugs, are limited by their low efficacy and the emergence of drug‐resistant viruses. Addressing these issues necessitates the development of novel preventive and treatment methods. Our previous work highlighted the inhibitory effects of soybean hydrothermal extract on influenza virus growth. In this study, we aimed to delve into the mechanism underlying the antiviral activity, specifically the inhibition of viral entry. Our findings reveal that soybean extract significantly inhibited the stages of viral entry during a viral infection and hindered virus uptake by cells. Fluorescence microscopy of stained viral nucleoproteins demonstrated viral localization on the cell membrane in soybean‐treated cells, highlighting a distinctive pattern compared to the control cells where the virus was internalized. Soybean extract targeted the clathrin‐dependent endocytosis pathway, as evidenced by 76% inhibition using a clathrin‐dependent marker (transferrin). The identification of soybean inhibitors underscores the need for further investigation and offers potential for innovative antiviral interventions. [ABSTRACT FROM AUTHOR]

After disruption in the influenza circulation due to the emergence of SARS-CoV-2, the intensity of seasonal outbreaks has returned to the pre-pandemic levels. This study aimed to evaluate the evolution and variability of whole-genome sequences of A(H1N1)pdm09, the predominant influenza virus in Sicily (Italy) during the season 2023–2024. The potential vaccine efficacy was calculated using the pepitope model based on amino acid changes in the dominant epitope of hemagglutinin. The HA gene sequences showed several amino acid substitutions, some of which were within the major antigenic sites. The phylogenetic analysis showed that Sicilian strains grouped into two main genetic clades (6B.1A.5a.2a.1 and 6B.1A.5a.2a) and several subclades. Notably, about 40% of sequences partially drifted from the WHO-recommended vaccine strain A/Victoria/4897/2022 for the Northern Hemisphere. These sequences mostly belonged to the subclades C.1.8 and C.1.9 and harboured the amino acid mutations responsible for the modest predicted vaccine efficacy (E = 38.12% of 53%, pepitope = 0) against these viruses. Amino acid substitutions in other gene segments were also found. Since influenza viruses are constantly evolving, genomic surveillance is crucial in monitoring their molecular evolution and the occurrence of genetic and antigenic changes, and, thus, their potential impact on vaccine efficacy. [ABSTRACT FROM AUTHOR]

Respiratory viral infections, including respiratory syncytial virus (RSV), parainfluenza viruses and type A and B influenza viruses, can have severe outcomes. Bacterial infections frequently follow viral infections, and influenza or other viral epidemics periodically have higher mortalities from secondary bacterial pneumonias. Most secondary bacterial infections can cause lung immunosuppression by fatty acid mediators which activate cellular receptors to manipulate neutrophils, macrophages, natural killer cells, dendritic cells and other lung immune cells. Bacterial infections induce synthesis of inflammatory mediators including prostaglandins and leukotrienes, then eventually also special pro-resolving mediators, including lipoxins, resolvins, protectins and maresins, which normally resolve inflammation and immunosuppression. Concurrent viral and secondary bacterial infections are more dangerous, because viral infections can cause inflammation and immunosuppression before the secondary bacterial infections worsen inflammation and immunosuppression. Plausibly, the higher mortalities of secondary bacterial pneumonias are caused by the overwhelming inflammation and immunosuppression, which the special pro-resolving mediators might not resolve. [ABSTRACT FROM AUTHOR]

The influenza virus causes one of the most prevalent and lethal infectious viral diseases of the respiratory system; the disease progression varies from acute self-limiting mild fever to disease chronicity and death. Although both the preventive and treatment measures have been vital in protecting humans against seasonal epidemics or sporadic pandemics, there are several challenges to curb the influenza virus such as limited or poor cross-protection against circulating virus strains, moderate protection in immune-compromised patients, and rapid emergence of resistance. Currently, there are four US-FDA-approved anti-influenza drugs to treat flu infection, viz. Rapivab, Relenza, Tamiflu, and Xofluza. These drugs are classified based on their mode of action against the viral replication cycle with the first three being Neuraminidase inhibitors, and the fourth one targeting the viral polymerase. The emergence of the drug-resistant strains of influenza, however, underscores the need for continuous innovation towards development and discovery of new anti-influenza agents with enhanced antiviral effects, greater safety, and improved tolerability. Here in this review, we highlighted commercially available antiviral agents besides those that are at different stages of development including under clinical trials, with a brief account of their antiviral mechanisms. [ABSTRACT FROM AUTHOR]

Influenza and other respiratory infections cause annual epidemics worldwide, with high incidence and mortality rates reported among immunocompromised infants and elderly individuals. Probiotics can modulate the immune system through their bacterial compositions and metabolites, affecting influenza infections and effectively responding to viral mutations. Therefore, we evaluated the anti-influenza effects of mixed probiotics administered orally before and after influenza infection. The results showed that the mixed probiotics consisting of Lacticaseibacillus rhamnosus CCFM1279, Limosilactobacillus reuteri CCFM1145, and Lacticaseibacillus casei CCFM1127 inhibited viral replication and reduced lung inflammatory damage against influenza. In addition, the mixed-probiotics treatment activated the systemic immune response of the host. The gut microbiota analysis revealed a notable increase in the abundance of Alistipes and Rikenella following mixed-probiotic supplementation. The metabolomic analysis indicated a significant increase in adenosine levels, which was positively correlated with the abundance of Parvibacter. These findings highlight the effectiveness of mixed probiotics in fighting influenza viruses and suggest that certain gut microbiota and their metabolites may play a significant role in influencing the outcomes of influenza infections. [ABSTRACT FROM AUTHOR]

ABSTRACT Aim Methods and Results Conclusion Backyard production systems (BPS) represent an interface of contact between people, domestic and wild animals. Studies conducted in Chile during the last decade have provided extensive evidence of influenza A virus (IAV) circulation in backyard poultry and swine. The aim of this study was to investigate exposure practices of humans to animal‐origin IAV within backyards.Backyard farmers and household members of a total of 101 BPS in the proximity of wetlands located throughout Chile were interviewed between 2021 and 2022. Data were collected on the nature of human–animal contacts through participation in productive activities conducted within backyards, which was used to estimate participants' exposure risk to animal‐origin IAV. Additionally, RT‐qPCR and serologic IAV active surveillance was carried out in backyard animals. Multilinear regression was used to identify factors associated with exposure risk. Overall, IAV prevalence was 10.1% (95% CI: 4.7%–15.5%) and seroprevalence was 43.5% (95% CI: 29.7%–54.2%), both at the BPS level. Of 180 interviewees, 86% reported participating regularly in poultry or swine exposure activities within the backyard. A greater participation of male participants was observed when evaluating swine exposure activities, while female participation was greater for some activities related to poultry handling. Handwashing was a very extended hygiene practice; however, the use of personal protective equipment was uncommon. Different factors related to participants, households and backyards were associated with an increased exposure risk of participants to animal‐origin IAV: (i) older age, (ii) less years of education, (iii) no off‐farm work, (iv) greater backyard production value and (v) greater household consumption of backyard products.These results indicate the circulation of IAV in BPS and the frequent human–animal contact at this interface, highlighting the need for awareness campaigns and educational programmes aimed at backyard farmers on prevention and biosecurity measures in the management of backyard animals. [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]

The rapid variation of influenza challenges vaccines and treatments, which makes an urgent task to develop the high-efficiency and low-toxicity new anti-influenza virus drugs. Selenium is one of the essential trace elements for the human body that possesses a good antiviral activity. In this study, we assessed anti-influenza A virus (H1N1) activity of polyethylene glycol (PEG)-modified gray selenium nanoparticles (PEG-SeNPs) on Madin-Darby Canine Kidney (MDCK) cells in vitro. CCK-8 assay showed that PEG-SeNPs had a protective effect on H1N1-infected MDCK cells. Moreover, PEG-SeNPs significantly reduced the mRNA level of H1N1. TUNEL-DAPI test showed that DNA damage reached a high level but effectively prevented after PEG-SeNPs treatment. Meanwhile, JC-1, Annexin V-FITC and cell cycle assay demonstrated the apoptosis induced by H1N1 was reduced greatly when treated with PEG-SeNPs. Furthermore, the downregulation of p-ATM, p-ATR and P53 protein, along with the upregualation of AKT protein indicated that PEG-SeNPs could inhibit H1N1-induced cell apoptosis through reactive oxygen species (ROS)-mediated related signaling pathways. Finally, Cytokine detection demonstrated PEG-SeNPs inhibited the production of pro-inflammatory factors after infection, including IL-1β, IL-5, IL-6, and TNF-α. To sum up, PEG-SeNPs might become a new potential anti-H1N1 influenza virus drug due to its antiviral and anti-inflammatory activity. [ABSTRACT FROM AUTHOR]

Background: While COVID-19 has been controlled and deaths have decreased, the long-term consequences of COVID-19 remain a challenge we face today. This study was conducted to determine the relationship between the apoptosis of lymphocyte cells with DNA damage and oxidative stress and the therapeutic and clinical outcomes of elderly patients with COVID-19. Methods: This study was conducted from April 2020 to May 2021 (the period of severe attacks of the epidemic peak of COVID-19) and September 2022 (the post-COVID-19 period). The study groups included elderly patients with COVID-19 hospitalized in the ICU and normal wards of the hospital as well as elderly patients with influenza. A polymerase chain reaction was used to check the validity of the studied diseases. The Annexin V/Propidium Iodide method was used to evaluate the level of apoptosis. Genotoxic effects and DNA damage were assessed by the comet assay method. Total antioxidant status (TAS), total oxidant status (TOS), and myeloperoxidase activity (MPO) were measured by photometric methods. Results: The highest level of apoptosis in peripheral blood lymphocytes and the highest level of DNA damage were observed at both times in the intubated-ICU and non-intubated-ICU groups. In all groups, there was a significant increase in peripheral blood lymphocyte apoptosis levels and DNA damage levels compared to the healthy control group (p < 0.01). The level of apoptosis and DNA damage decreased significantly in the post-COVID-19 period (p < 0.01). In the investigation of oxidative stress biomarkers, the oxidative stress index, including TOS and MPO levels, increased in patients (p < 0.01), and the TAS level decreased (p < 0.01). Conclusion: It shows that the apoptosis of lymphocyte cells, DNA damage, and oxidative stress can be effective in prognostic decisions and is a suitable predictor for diagnosing the condition of patients with viral infections such as COVID-19 and influenza. [ABSTRACT FROM AUTHOR]

Acute respiratory infections (ARIs) are amongst the leading causes of death and disability, and the greatest burden of disease impacts children, pregnant women, and the elderly. Respiratory viruses account for the majority of ARIs. The unfolded protein response (UPR) is a host homeostatic defence mechanism primarily activated in response to aberrant endoplasmic reticulum (ER) resident protein accumulation in cell stresses including viral infection. The UPR has been implicated in the pathogenesis of several respiratory diseases, as the respiratory system is particularly vulnerable to chronic and acute activation of the ER stress response pathway. Many respiratory viruses therefore employ strategies to modulate the UPR during infection, with varying effects on the host and the pathogens. Here, we review the specific means by which respiratory viruses affect the host UPR, particularly in association with the high production of viral glycoproteins, and the impact of UPR activation and subversion on viral replication and disease pathogenesis. We further review the activation of UPR in common co-morbidities of ARIs and discuss the therapeutic potential of modulating the UPR in virally induced respiratory diseases. [ABSTRACT FROM AUTHOR]

Influenza viruses remain a major threat to human health. Four classes of drugs have been approved for the prevention and treatment of influenza infections. Oseltamivir, a neuraminidase inhibitor, is a first-line anti-influenza drug, and baloxavir is part of the newest generation of anti-influenza drugs that targets the viral polymerase. The emergence of drug resistance has reduced the efficacy of established antiviral drugs. Combination therapy is one of the options for controlling drug resistance and enhancing therapeutical efficacies. Here, we evaluate the antiviral effects of baloxavir combined with neuraminidase inhibitors (NAIs) against wild-type influenza viruses, as well as influenza viruses with drug-resistance mutations. The combination of baloxavir with NAIs led to significant synergistic effects; however, the combination of baloxavir with laninamivir failed to result in a synergistic effect on influenza B viruses. Considering the rapid emergence of drug resistance to baloxavir, we believe that these results will be beneficial for combined drug use against influenza. [ABSTRACT FROM AUTHOR]

Recent studies have documented prolonged expression of viral antigens and RNA and associated inflammation after infection with SARS-CoV-2 in a substantial proportion of infected patients. The persisting SARS-CoV-2 effects and findings, with inflammation associated with continued detection of viral antigens, especially resemble those previously reported for influenza virus, as well as respiratory syncytial virus (RSV). The reports indicate the need for improved insight into the mechanisms whereby post-SARS-CoV-2 infection-related illness is apparently more common and perhaps even more persistent after infection than observed for other respiratory viruses. [ABSTRACT FROM AUTHOR]

Influenza viruses rapidly evolve to evade previously acquired human immunity. Maintaining vaccine efficacy necessitates continuous monitoring of antigenic differences among strains. Traditional serological methods for assessing these differences are labor-intensive and time-consuming, highlighting the need for efficient computational approaches. This paper proposes MetaFluAD, a meta-learning-based method designed to predict quantitative antigenic distances among strains. This method models antigenic relationships between strains, represented by their hemagglutinin (HA) sequences, as a weighted attributed network. Employing a graph neural network (GNN)-based encoder combined with a robust meta-learning framework, MetaFluAD learns comprehensive strain representations within a unified space encompassing both antigenic and genetic features. Furthermore, the meta-learning framework enables knowledge transfer across different influenza subtypes, allowing MetaFluAD to achieve remarkable performance with limited data. MetaFluAD demonstrates excellent performance and overall robustness across various influenza subtypes, including A/H3N2, A/H1N1, A/H5N1, B/Victoria, and B/Yamagata. MetaFluAD synthesizes the strengths of GNN-based encoding and meta-learning to offer a promising approach for accurate antigenic distance prediction. Additionally, MetaFluAD can effectively identify dominant antigenic clusters within seasonal influenza viruses, aiding in the development of effective vaccines and efficient monitoring of viral evolution. [ABSTRACT FROM AUTHOR]

At the end of the 2019 coronavirus pandemic (COVID‐19), highly contagious variants of coronaviruses had emerged. Together with influenza viruses, different variants of the coronavirus currently cause most colds and require appropriate drug treatment. We have investigated the expression of important factors for the replication of these viruses, namely transmembrane protease serine subtype 2 (TMPRSS2), neuropilin1 (NRP1), and angiotensin converting enzyme 2 (ACE2) or tumor necrosis factor‐α (TNF‐α) after toll like receptor‐3 (TLR‐3) stimulation using RT‐qPCR and flow cytometry (FC) analysis. As model served primary fibroblasts derived from the lung and nasal cavity, as well as epidermal stem cells and fully matured respiratory epithelium. The stimulated cell cultures were treated with pharmaceuticals (Dexamethasone and Enzalutamide) and the outcome was compared with the phytomedicine 1,8‐Cineol. The stimulation of TLR3 is sufficient to induce the expression of exactly those targets that were highly expressed in the corresponding culture type, specifically ACE2 and TMPRSS2 in respiratory epithelial stem cells and NRP1 in fibroblast cells. It seems this self‐perpetuating cycle of infection‐driven upregulation of key viral replication factors by the innate immune system represents an evolutionary advantage for viruses using these transcripts as viral replication factors. Likewise, to the standard pharmaceuticals with proven clinical efficiency, 1,8‐Cineol was able to disrupt this self‐perpetuating cycle. Considering the minor side effects and negligible pharmacological interactions with other drugs, it is conceivable that an adjuvant or combinatorial therapy with 1,8‐Cineol for respiratory diseases caused by corona‐ or influenza viruses would be beneficial. [ABSTRACT FROM AUTHOR]

In this pilot study, a multi-parametric analysis comparing immune responses in sera of adult healthy subjects (HS) or people with type 2 diabetes mellitus (T2D) undergoing the single or simultaneous administration of mRNA-based COVID-19 and cellular quadrivalent inactivated influenza vaccines was conducted. While SARS-CoV-2 antibodies remains comparable, influenza antibody titers and seroconversion were significantly higher upon simultaneous vaccination. Magnitude of anti-influenza humoral response closely correlated with an early innate immune signature, previously described for the COVID-19 vaccine, composed of IL-15, IL-6, TNF-α, IFN-γ, CXCL-10 and here extended also to acute-phase protein Pentraxin 3. People with T2D receiving simultaneous vaccination showed a protective response comparable to HS correlating with the early induction of IFN-γ/CXCL10 and a significant reduction of the circulating glucose level due to increased oxidation of glucose digestion and consumption. These data, although preliminary and in-need of validation in larger cohorts, might be exploited to optimize future vaccination in people with chronic disorders, including diabetes. [ABSTRACT FROM AUTHOR]

The world has already entered the stage of increasing odds for a new pandemic, which prompts to seek out for new flu vaccines, because existing vaccines demonstrate only suboptimal effectiveness. With the Covid-19 pandemic, the possibility of using mRNA vaccines has been opened up, and a prospect of finding hemagglutinin (HA) gene mRNA-based new influenza vaccines seems very attractive. As a rule, the mRNA vaccine is a product of recoding, which ensures the mRNA stability. However, the results of mRNA recoding can be ambiguous. The purpose of this report is to analyze the features of genes and proteins and to consider opportunities and limitations in their recoding. Primary structures of NA proteins and relevant genes were retrieved from Internet publicly available databases. The amino acid composition and frequency of dipeptides, nucleotide and dinucleotide compositions, %GC, translational code and compositions of neighboring di- and tricodones, distribution along primary structure for explicit and synonymous mutations were determined. H1N1 and H3N2 subtypes have both specific and general features (limitations) in their genes, differing not only in the number of protein substitutions, but also in the number and distribution of gene synonymous codons, which do not manifest in the protein primary structure, but appear, apparently, as a hidden factor, which causes the low effectiveness of classical influenza vaccines. The identification of several limitations in gene structure suggests that its any modification (in any gene) must not contradict each of the restrictions established by nature. The frequency of CpG dinucleotides in all studied strains is low, but a potential for optimizing it in H1N1 strains due to the prohibition of the quartet in the gene for arginine-encoding codons is especially limited and can be implemented through synonymous codons of other amino acids (alanine, proline, threonine or serine). Compared to the H1N1 subtype, the H3N2 subtype can be expected to have more possibilities in constructing stable NA gene mRNA.

Abstract Influenza poses a significant threat to global health, with the ability to cause severe epidemics and pandemics. The polymerase basic protein 2 (PB2) of the influenza virus plays a crucial role in the viral replication process, making the CAP-binding domain of PB2 an attractive target for antiviral drug development. This study aimed to identify and evaluate potential inhibitors of the influenza polymerase PB2 CAP-binding domain using computational drug discovery methods. We employed a comprehensive computational approach involving virtual screening, molecular docking, and 500 ns molecular dynamics (MD) simulations. Compounds were selected from the Diverse lib database and assessed for their binding affinity and stability in interaction with the PB2 CAP-binding domain. The study utilized the generalized amber force field (GAFF) for MD simulations to further evaluate the dynamic behaviour and stability of the interactions. Among the screened compounds, compounds 1, 3, and 4 showed promising binding affinities. Compound 4 demonstrated the highest binding stability and the most favourable free energy profile, indicating strong and consistent interaction with the target domain. Compound 3 displayed moderate stability with dynamic conformational changes, while Compound 1 maintained robust interactions throughout the simulations. Comparative analyses of these compounds against a control compound highlighted their potential efficacy. Compound 4 emerged as the most promising inhibitor, with substantial stability and strong binding affinity to the PB2 CAP-binding domain. These findings suggest that compound 4, along with compounds 1 and 3, holds the potential for further development into effective antiviral agents against influenza. Future studies should focus on experimental validation of these compounds and exploration of resistance mechanisms to enhance their therapeutic utility.

Abstract Background Common cold coronaviruses (ccCoVs) and influenza virus are common infectious agents causing upper respiratory tract infections (RTIs). However, clinical symptoms, comorbidities, and health effects of ccCoV infection remain understudied. Methods A retrospective study evaluated 3,935 outpatients with acute upper RTI at a tertiary teaching hospital. The presence of ccCoV and influenza virus was determined by multiplex molecular assay. The demographic, clinical symptoms, and health outcomes were compared between patients with ccCoV (n = 205) and influenza (n = 417) infections. Multivariable logistic regression was employed to evaluate predictors and health outcomes over a one-year follow-up. Results Sore throat, nasal discharge, headache, and myalgia were more predominant in ccCoV infection; fever was common in influenza. Most patients reported moderate symptoms severity (49.8% ccCoV, 56.1% influenza). Subsequent primary care visits with symptoms of RTI within a year were comparable for both infections (27.3% ccCoV vs. 27.6% influenza). However, patients with influenza reported increased primary care visits for non-RTI episodes and all-cause hospital admission. Baseline comorbidities were associated with increased primary care visits with symptoms of RTI in either ccCoV (adjusted odds ratio [aOR] 2.5; 95% confidence interval [CI] 1.1–5.9; P = 0.034) or influenza (OR 1.9; 95% CI 1.1–3.1; P = 0.017) infections, due probably to the dysregulation of the host immune response following acute infections. In patients infected with influenza infection, dyslipidemia was a predictor for subsequent primary care visits with symptoms of RTI (unadjusted OR 1.8; 95% CI 1.0–3.0; P = 0.040). Conclusions Both influenza and ccCoV infection pose significant disease burden, especially in patients with comorbidities. The management of comorbidities should be prioritized to mitigate poor health outcomes in infected individuals.

Abstract Objective To investigate the epidemiological characteristics and infections of respiratory syncytial virus (RSV) and influenza viruses in hospitalized elderly patients with respiratory tract infections in Suzhou City, China, and to compare the differences in clinical characteristics and economic burden associated with these two infections. Methods In this prospective study, pathogenetic testing and clinical data for hospitalized patients aged 60 years and older with respiratory tract infections were collected in five hospitals through stratified cluster sampling from December 2023 to May 2024. Comparative study on epidemic characteristics, clinical features and costs of cases who infected RSV alone and influenza alone were conducted. Results Among 1,894 cases included, the RSV positivity rate was 5.91% during the 2023–2024 winter-spring season, while the influenza positivity rate was 9.61%. RSV-B was the predominant subtype of RSV, and influenza A (primarily H3N2) was the dominant strain among the influenza-positive cases. Compared with cases infected influenza virus alone, those infected RSV alone had lower occurrence frequency of fever (18.8% vs. 35.7%, P = 0.004), higher occurrence frequency of complications of lower respiratory tract infections (70.8% vs. 54.8%, P = 0.011), higher direct medical costs ($996.2 vs. $841.1, P = 0.017) and total costs ($1019.7 vs. $888.1, P = 0.036). RSV single infection is more common in female cases (P = 0.007) and diabetic cases (P = 0.007) than influenza virus single infection. Conclusions During the winter and spring months, RSV is the second most common pathogen after influenza virus among older adults hospitalized for respiratory infections in Suzhou, China. Patients infected RSV are more likely to develop complications with lower respiratory tract infections and have higher medical costs than the influenza. RSV infection in the elderly should be emphasized, especially in female patients and diabetic patients.

ObjectiveTo analyze the hemagglutinin variation and the genetic evolution of A(H1N1)pdm09 influenza virus in Huzhou City, 2023.MethodsRespiratory tract specimens from two influenza monitoring hospitals were collected for the isolation of A(H1N1)pdm09 influenza virus and HA genome sequencing. MEGA 7.0 and BioAider were utilized to analyze genetic similarity, genetic evolution, antigen mutation sites, receptor binding sites, pathogenicity, and potential glycosylation sites of the influenza virus sequencing results.ResultsThe nucleotide and amino acid similarities between the 25 A(H1N1)pdm09 strains and the vaccine strain A/Wisconsin/67/2022 were 98.41% to 99.22% and 98.41% to 99.36%, respectively. These strains belonged to the 6B.1A.5a.2a evolutionary lineage. Notably, there were 19 amino acid variations in the HA protein, including substitutions of S137P and R142K in the epitope Ca2 cluster. Additionally, seven potential glycosylation sites were found in the HA protein, and no new or missing sites were observed in the 25 A(H1N1)pdm09 influenza virus isolates compared to the vaccine strains. Furthermore, no multiple continuous alkaline amino acids were detected in the HA cleavage site of the 25 isolates.ConclusionThe A(H1N1)pdm09 pandemic strain in 2023 closely matches the vaccine strain, indicating good protection against the currently circulating A(H1N1)pdm09 influenza virus. The circulating A(H1N1)pdm09 strain in Huzhou is characterized as a low-pathogenic influenza virus.

Abstract Background While COVID-19 has been controlled and deaths have decreased, the long-term consequences of COVID-19 remain a challenge we face today. This study was conducted to determine the relationship between the apoptosis of lymphocyte cells with DNA damage and oxidative stress and the therapeutic and clinical outcomes of elderly patients with COVID-19. Methods This study was conducted from April 2020 to May 2021 (the period of severe attacks of the epidemic peak of COVID-19) and September 2022 (the post-COVID-19 period). The study groups included elderly patients with COVID-19 hospitalized in the ICU and normal wards of the hospital as well as elderly patients with influenza. A polymerase chain reaction was used to check the validity of the studied diseases. The Annexin V/Propidium Iodide method was used to evaluate the level of apoptosis. Genotoxic effects and DNA damage were assessed by the comet assay method. Total antioxidant status (TAS), total oxidant status (TOS), and myeloperoxidase activity (MPO) were measured by photometric methods. Results The highest level of apoptosis in peripheral blood lymphocytes and the highest level of DNA damage were observed at both times in the intubated-ICU and non-intubated-ICU groups. In all groups, there was a significant increase in peripheral blood lymphocyte apoptosis levels and DNA damage levels compared to the healthy control group (p

Abstract The rapid variation of influenza challenges vaccines and treatments, which makes an urgent task to develop the high-efficiency and low-toxicity new anti-influenza virus drugs. Selenium is one of the essential trace elements for the human body that possesses a good antiviral activity. In this study, we assessed anti-influenza A virus (H1N1) activity of polyethylene glycol (PEG)-modified gray selenium nanoparticles (PEG-SeNPs) on Madin-Darby Canine Kidney (MDCK) cells in vitro. CCK-8 assay showed that PEG-SeNPs had a protective effect on H1N1-infected MDCK cells. Moreover, PEG-SeNPs significantly reduced the mRNA level of H1N1. TUNEL-DAPI test showed that DNA damage reached a high level but effectively prevented after PEG-SeNPs treatment. Meanwhile, JC-1, Annexin V-FITC and cell cycle assay demonstrated the apoptosis induced by H1N1 was reduced greatly when treated with PEG-SeNPs. Furthermore, the downregulation of p-ATM, p-ATR and P53 protein, along with the upregualation of AKT protein indicated that PEG-SeNPs could inhibit H1N1-induced cell apoptosis through reactive oxygen species (ROS)-mediated related signaling pathways. Finally, Cytokine detection demonstrated PEG-SeNPs inhibited the production of pro-inflammatory factors after infection, including IL-1β, IL-5, IL-6, and TNF-α. To sum up, PEG-SeNPs might become a new potential anti-H1N1 influenza virus drug due to its antiviral and anti-inflammatory activity.

Viruses have long been recognized as significant pathogens, contributing to multiple global pandemics throughout human history. Recent examples include the 2009 influenza pandemic and the COVID-19 pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019. Despite ongoing experimental and clinical efforts, the development of effective antiviral treatments and vaccines remains challenging due to the high mutation rates of many human pathogenic viruses including influenza virus and SARS-CoV-2. As an alternative approach, antiviral strategies targeting host factors shared by multiple viruses could provide a more universally applicable solution. Emerging evidence suggests that viruses exploit the host cytoskeletal network to facilitate efficient viral replication and propagation. Therefore, a comprehensive understanding of the interactions between viral components and the cytoskeletal machinery may offer valuable insights for the development of broad-spectrum antiviral therapeutics. This review compiles and discusses current knowledge on the interactions between viruses and cytoskeletal elements, including kinesin, dynein, myosin, and vimentin, and explores their potential as therapeutic targets. The potential for these cytoskeletal components to serve as targets for new antiviral interventions is discussed in the context of diverse human viruses, including influenza virus, SARS-CoV-2, herpes simplex virus, human papillomavirus, and human immunodeficiency virus.

Antibody dependant enhancement refers that viral infectivity was unexpectedly enhanced at low antibody concentration compared to when antibodies were absent, such as Dengue, Zika and influenza virus. To mathematically describe switch from enhancement to neutralisation with increase of antibody concentration, one hyperbolic tangent variant is used as switching function in existed models. However, switching function with hyperbolic tangent contains four parameters, and does not always increase with antibody concentration. To address this problem, we proposed a monotonically increasing Logistical function variant as switching function, which only contains position parameter and magnitude parameter. Analysing influenza viral titre estimated from 21 focus reduction assay (FRA) datasets from neutralisation group (viral titre lower than negative control on all serial dilutions) and 20 FRA dataset from enhancement group (viral titre higher than negative control on high serial dilution), switching function with Logistic function performs better than existed model independent of both groups and exhibited different behaviour/character; specifically, magnitude parameter estimated from enhancement group is lower, but position parameter estimated from enhancement group is higher. A lower magnitude parameter refers that enhancement group more rapidly switches from enhancement to neutralisation with increase of antibody concentration, and a higher position parameter indicates that enhancement group provides a larger antibody concentration interval corresponding to enhancement. Integrating estimated neutralisation kinetics with viral replication, we demonstrated that antibody-induced bistable influenza kinetics exist independent of both groups. However, comparing with neutralisation group, enhancement group provides higher threshold value of antibody concentration corresponding to influenza infectivity. This explains the observed phenomenon that antibody dependent enhancement enhances susceptibility, severity, and mortality to influenza infection. On population level, antibody dependant enhancement can promote H1N1 and H3N2 influenza virus cooperate to sustain long-term circulation on human populations according to antigenic seniority theory.

A preceding viral infection of the respiratory tract predisposes the host to secondary bacterial pneumonia, known as a major cause of morbidity and mortality. However, the underlying mechanism of the viral-bacterial synergy that leads to disease progression has remained elusive, thus hampering the production of effective prophylactic and therapeutic intervention options. In addition to viral-induced airway epithelial damage, which allows dissemination of bacteria to the lower respiratory tract and increases their invasiveness, dysfunction of immune defense following a viral infection has been implicated as a factor for enhanced susceptibility to secondary bacterial infections. Given the proximity of the oral cavity to the respiratory tract, where viruses enter and replicate, it is also well-established that oral health status can significantly influence the initiation, progression, and pathology of respiratory viral infections. This review was conducted to focus on the dysfunction of the respiratory barrier, which plays a crucial role in providing physical and secretory barriers as well as immune defense in the context of viral-bacterial synergy. Greater understanding of barrier response to viral-bacterial co-infections, will ultimately lead to development of effective, broad-spectrum therapeutic approaches for prevention of enhanced susceptibility to these pathogens.

A simple and rapid system based on Raman nanosphere (R-Sphere) immunochromatography was developed in this study for the simultaneous detection of Influenza A, B virus antigens on a single test line (T-line). Two types of R-Sphere with different characteristic Raman spectrum were used as the signal source, which were labeled with monoclonal antibodies against FluA, FluB (tracer antibodies), respectively. A mixture of antibodies containing anti-FluA monoclonal antibody and anti-FluB monoclonal antibody (capture antibody) was sprayed on a single T-line and goat anti-chicken IgY antibody was coated as a C-line, and the antigen solution with known concentration was detected by the strip of lateral flow immunochromatography based on surface-enhanced Raman spectroscopy (SERS). The T-line was scanned with a Raman spectrometer and SERS signals were collected. Simultaneous specific recognition and detection of FluA and FluB were achieved on a single T-line by analyzing the SERS signals. The findings indicated that the test system could identify FluA and FluB in a qualitative manner in just 15 minutes, with a minimum detection threshold of 0.25 ng ml−1, excellent consistency, and specificity. There was no interference with the other four respiratory pathogens, and it exhibited 8 times greater sensitivity compared to the colloidal gold test strip method. The assay system is rapid, sensitive, and does not require repetitive sample pretreatment steps and two viruses can be detected simultaneously on a single T-line by titrating one sample, which improves detection efficiency, and provide a reference for developing multiplexed detection techniques for other respiratory viruses. [ABSTRACT FROM AUTHOR]

Abstract Background Oseltamivir (OSM) was the first active oral therapeutic inhibitor approved by the Food and Drug Administration in 1999 for the clinical management of the influenza virus. It is an ester-type prodrug of OSM carboxylate in the market under the trade name Tamiflu™ capsules, i.e., oseltamivir phosphate. Because of the ubiquitous application to alleviate influenza virus (flu virus) symptoms, it is imperative to develop systematic analytical protocols for quality control laboratories, bioequivalence, and pharmacokinetic analysis. Main body of the abstract This review provides complete state-of-the-art analytical protocols for quantifying OSM, as published in scientific journals and official compendia. Several studies use LC–MS/MS and HPLC/UV. Additionally, there are reports on UPLC, HPTLC, capillary electrophoresis, FTIR, voltammetry, potentiometry, spectrophotometric, and spectrofluorometry protocols for the drug. Many analytical protocols have also been documented to analyze OSM from environmental water, surface water, sewage discharge, the Neya River and treated sewage effluent and surface water. Conclusion The present review concludes with significant remarks on the methodology used to analyze OSM. Despite the therapeutic applicability of the drug, there are a limited number of comprehensive documents on analytical protocols for determining its concentration in various matrices. This lack of information is elusive, as the applicability and effectiveness of these protocols are crucial for ensuring the quality, efficacy, and safety of OSM.

Abstract Background The effect of vaccination on the epigenome remains poorly characterized. In previous research, we identified an association between seroprotection against influenza and DNA methylation at sites associated with the RIG-1 signaling pathway, which recognizes viral double-stranded RNA and leads to a type I interferon response. However, these studies did not fully account for confounding factors including age, gender, and BMI, along with changes in cell-type composition. Results Here, we studied the influenza vaccine response in a longitudinal cohort vaccinated over two consecutive years (2019–2020 and 2020–2021), using peripheral blood mononuclear cells and a targeted DNA methylation approach. To address the effects of multiple factors on the epigenome, we designed a multivariate multiple regression model that included seroprotection levels as quantified by the hemagglutination-inhibition (HAI) assay test. Conclusions Our findings indicate that 179 methylation sites can be combined as potential signatures to predict seroprotection. These sites were not only enriched for genes involved in the regulation of the RIG-I signaling pathway, as found previously, but also enriched for other genes associated with innate immunity to viruses and the transcription factor binding sites of BRD4, which is known to impact T cell memory. We propose a model to suggest that the RIG-I pathway and BRD4 could potentially be modulated to improve immunization strategies.

Abstract The influenza virus (IFV) imposes a considerable health and economic burden globally, requiring a comprehensive understanding of its pathogenic mechanisms. Ferroptosis, an iron-dependent lipid peroxidation cell death pathway, holds unique implications for the antioxidant defense system, with possible contributions to inflammation. This exploration focuses on the dynamic interplay between ferroptosis and the host defense against viruses, emphasizing the influence of IFV infections on the activation of the ferroptosis pathway. IFV causes different types of cell death, including apoptosis, necrosis, and ferroptosis. IFV-induced ferroptotic cell death is mediated by alterations in iron homeostasis, intensifying the accumulation of reactive oxygen species and promoting lipid peroxidation. A comprehensive investigation into the mechanism of ferroptosis in viral infections, specifically IFV, has great potential to identify therapeutic strategies. This understanding may pave the way for the development of drugs using ferroptosis inhibitors, presenting an effective approach to suppress viral infections.

Yi Shi, Yifan Ren Department of Pediatrics, Shaoxing Keqiao Women and Children’s Hospital, Shaoxing, Zhejiang Province, People’s Republic of ChinaCorrespondence: Yi Shi, Email shiyi111002@163.comBackground: Adenovirus pneumonia progresses rapidly, with a high rate of progression to severe pneumonia, but the early clinical manifestations lack specificity and are not easy to be recognized.Methods: Reviewing the relevant literatures, we studied and summarized the early recognition, clinical features and treatment outlook of severe adenovirus pneumonia Case Presentation: An 11-year-old child with community-acquired pneumonia, with influenza A antigen positive by colloidal gold, which further developed into acute respiratory distress syndrome after hospitalization. Three days later, adenovirus was detected positively by PCR of throat swab and diagnosed as severe adenovirus pneumonia. After aggressive treatment, her condition improved and was discharged from the hospital.Conclusion: Clinically, adenovirus combined with influenza virus infection is uncommon, and adenovirus infection is even rarer in adolescent children.Keywords: adenovirus, influenza virus, severe pneumonia, respiratory failure

Antigen-specific T cells are an important part of antiviral responses, and modern influenza vaccines are designed to induce this mode of immunity. Live attenuated influenza vaccine (LAIV) is a potent inducer of T-cell immunity because of its ability to cause productive infection in the upper respiratory tract. Inactivated influenza vaccines (IIV) and novel vaccine candidates can also induce virus-specific T-cells when appropriate adjuvants are used. In this case, non-structural and intrinsic antigens of the master donor viruses, particularly nucleoprotein (NP), are the main targets for the development of T-cell immunity. The most commonly used donor strains for LAIVs and IIVs worldwide were derived from viruses isolated between 1933 and 1960. In this regard, the question of conservation of epitopes immunogenic for CD8⁺ T-lymphocytes (CTL-epitopes) in donor-derived NPs, i.e., the ability of cytotoxic T cells specific to the donor’s NP to recognize modern influenza A virus nucleoproteins, is relevant. The aim of the study was to evaluate the conservation of CTL-immunogenic NP epitopes of donors traditionally used to create LAIVs and IIVs. Materials and methods. Epitope NP analysis was performed for 1614 and 1767 strains of influenza A virus subtypes H1N1 and H3N2, respectively, which circulated in 2009–2023 (data from the NCBI Influenza Virus Database). Immune Epitope Database (IEDB, www.iedb.org), NetCTL’s built-in CTL-epitope prediction algorithm and NetChop proteolysis site predictor were used. CTL-epitopes were mapped to NPs of master donor viruses A/Leningrad/134/17/57 (H2N2), A/Ann Arbor/6/60 (H2N2), A/PR/8/34 (H1N1), and A/WSN/1933 (H1N1) using the CrustalO alignment algorithm in JalView 2.8.1 Software. The immunogenicity and conservation of selected epitopes were further evaluated using IEDB T-cell Immunogenicity Predictor and Epitope Conservancy Assay, respectively. Results. The majority of immunogenic CTL-epitopes of donor viruses proved to be non-conserved, i.e., not found in NPs of circulating influenza strains. Conversely, most CTL-immunogenic NP epitopes of modern viruses are absent in donor viruses and cannot be induced by vaccination with conventional vaccines. The data obtained indicate the need to actualize NP in vaccine composition by directed mutagenesis of the donor-derived NP gene or by introduction of the gene encoding NP of circulating influenza viruses into vaccine strains.

Objective: This study aimed to optimize the process conditions for the large-scale production of milk-derived casein glycomacropeptide （CGMP） and explore its hemagglutination inhibition （HI） ability against influenza virus. Methods: Using anion exchange resin as the separation medium and sialic acid content the activity detection index of the product,based on the preliminary small and medium-sized tests, the large-scale production of CGMP from whey powder was investigated from five process conditions: sample volume, loading flow, eluent concentration, eluent volume, and resin service cycle. Meanwhile, a hemagglutination inhibition test was used to verify the inhibitory activity of the product CGMP against the influenza virus. Results: The optimized technical route of CGMP product is as follows: loading volume 3BV, loading flow 0.8 L/min, elution volume 1BV, eluent concentration 0.6 mol/L, and suitable use cycle of resin 4 times. Under these conditions, the volume of whey powder solution was 108 L （2 160 g） and the resin was 36 L, and 21.183 g of CGMP product was obtained, with a yield of 0.981 g/100 g, the product purity of 89.032%, the recovery rate of 51.972% and the sialic acid content of 21.503 g/100 g. The minimum inhibitory concentration of CGMP products on influenza virus A （H1N1） and influenza virus B is 1.000 0 and 1.250 0 mg/mL, respectively. Conclusion: The purity and sialic acid content of CGMP produced by the optimized technical route were better than those of commercial CGMP, and had an obvious inhibitory effect on the influenza virus.

Sulpiana,1,2 Riezki Amalia,3 Nur Atik4 1Biomedical Science Master Program, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, 54211, Indonesia; 2Faculty of Medicine, IPB University, Bogor, 16680, Indonesia; 3Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, West Java, Indonesia; 4Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, 40161, IndonesiaCorrespondence: Sulpiana, Biomedical Science Master Program, Faculty of Medicine, Universitas Padjadjaran, Bandung, West Java, 54211, Indonesia, Email sulpiana22001@mail.unpad.ac.idAbstract: Acute respiratory infections contribute to morbidity and mortality worldwide. The common cause of this deadly disease is a virus, and one of the most commonly found is the influenza virus. Influenza viruses have several capabilities in infection, including utilizing the host’s machinery to survive within cells and replicate safely. This review aims to examine the literature on how influenza viruses use host machinery, including endocytosis and autophagy, for their internalization and replication within cells. This review method involves a literature search by examining articles published in the PubMed and Scopus databases. The keywords used were “Endocytosis” OR “Autophagy” AND “Influenza Virus”. Eighteen articles were included due to inclusion and exclusion criteria. GTPases switch, and V-ATPase plays a key role in the endocytic machinery hijacked by influenza viruses to enter host cells. On the other hand, LC3 and Atg5 facilitate influenza-induced apoptosis via the autophagic pathway. In conclusion, influenza viruses primarily use clathrin-mediated endocytosis to enter cells and avoid degradation during endosomal maturation by exiting endosomes for transfer to the nucleus for replication. It also uses autophagy to induce apoptosis to continue replication. The capability of the influenza viruses to hijack endocytosis and autophagy mechanisms could be critical points for further research. Therefore, we discuss how the influenza virus utilizes both endocytosis and autophagy and the approach for a new strategic therapy targeting those mechanisms.Keywords: Autophagy, endocytosis, influenza virus, virus internalization

Objective: Influenza complications are mild to serious, and cancause death in some cases. A great deal of attention has been paidin recent years to the development and use of new antiviralcompounds to overcome drug resistance in certain strains of theinfluenza virus and treat the clinical implications. This studyaimedto investigate the antiviral effect of punicalagin and itsassociatedmechanism against influenza A (H1N1) virus in vitro.Materials and Methods: the ant-influenza activity of punicalaginwas studied in Madin-Darby Canine Kidney (MDCK) cells usinginfluenza virus A/Puerto Rico/8/34 (H1N1) (PR8) usingHemagglutinin assay (HA) and 50% tissue culture infective dose(TCID50). Then, the inhibition of haemagglutination, virucidalactivity, inhibitory effect at different times, replication of viralRNA and expression of viral genes were investigated.Results: Punicalagin could inhibit influenza virus infection with50% inhibitory concentration (IC50) of 3.98 μg/ml and selectivityindex (SI) value of 6.1. Punicalagin decreased virus titers with aninhibitory effect on virus hemagglutination (p

ObjectiveTo investigate the mutation and genetic evolution of drug resistance gene of A（H1N1） pdm09 influenza pandemic strain in 2023 in Huzhou City， Zhejiang Province.MethodsRespiratory tract specimens from 2 influenza monitoring hospitals were collected for A（H1N1） pdm09 influenza virus nucleic acid detection. Positive specimens were inoculated with MDCK cells for influenza virus isolation and sequencing. DNA Star 7.1 software and Mega 4.0 software were used to analyze the neuraminidase （NA） enzyme active site and the amino acid sites related to drug resistance in M2 protein.ResultsNucleotide homology and amino acid homology of NA between the isolated and the vaccine strains were 98.87%‒99.22% and 98.94%‒99.36%， respectively. The nucleotide homology range of M gene was 99.07% to 99.85%， and the amino acid homology range was 99.02%‒99.94%. The isolates and vaccine strains belong to the evolutionary clades of 6B.1A.5a.2a. The amino acids at the key sites of the enzyme activity center of NA were still highly conserved， and the 9 key amino acid sites related to NA inhibitor resistance did not change， but some mutations occurred at the non-enzyme active sites in some popular strains. The 5 amino acid sites related to drug resistance of M2 protein were not replaced， but the 31st amino acid sites changed from serine to asparagine.ConclusionThe A（H1N1） pdm09 pandemic strain in Huzhou in 2023 has high homology with the 2023‒2024 vaccine strain recommended by WHO. All endemic strains are resistant to amantadines.

Abstract Background Age > 65 years is a key risk factor for poor outcomes after human influenza infection. Specifically, in addition to respiratory disease, non-neurotropic influenza A virus (IAV) causes neuro-cognitive complications, e.g. new onset depression and increases the risk of dementia after hospitalization. This study aimed to identify potential mechanisms of these effects by determining differences between young and old mice in brain gene expression in a mouse model of non-neurotropic IAV infection. Methods Young (12 weeks) and old (70 weeks) C57Bl/6J mice were inoculated intranasally with 200 PFU H1N1 A/PR/34/8 (PR8) or sterile PBS (mock). Gene expression in lung and brain was measured by qRT-PCR and normalized to β-actin. Findings were confirmed using the nCounter Mouse Neuroinflammation Array (NanoString) and analyzed with nSolver 4.0 and Ingenuity Pathway Analysis (IPA, Qiagen). Results IAV PR8 did not invade the central nervous system. Young and old mice differed significantly in brain gene expression at baseline and during non-neurotropic IAV infection. Expression of brain Ifnl, Irf7, and Tnf mRNAs was upregulated over baseline control at 3 days post-infection (p.i.) only in young mice, but old mice expressed more Ifnl than young mice 7 days p.i. Gene arrays showed down-regulation of the Epigenetic Regulation, Insulin Signaling, and Neurons and Neurotransmission pathways in old mice 3 days p.i. while young mice demonstrated no change or induction of these pathways at the same time point. IPA revealed marked baseline differences between old and young mice. Gene expression related to Cognitive Impairment, Memory Deficits and Learning worsened in old mice relative to young mice during IAV infection. Aged mice demonstrate more severe changes in gene expression related to memory loss and cognitive dysfunction by IPA. Conclusions These data suggest the genes and pathways related to learning and cognitive performance that were worse at baseline in old mice were further worsened by IAV infection, similar to old patients. Early events in the brain triggered by IAV infection portend downstream neurocognitive pathology in old adults.

Abstract Background The innate immunity acts during the early phases of infection and its failure in response to a multilayer network of co-infections is cause of immune system dysregulation. Epidemiological SARS-CoV-2 infections data, show that Influenza Virus (FLU-A-B-C) and Respiratory Syncytial Virus (RSV) are co-habiting those respiratory traits. These viruses, especially in children (mostly affected by ‘multi-system inflammatory syndrome in children’ [MIS-C] and the winter pandemic FLU), in the aged population, and in ‘fragile’ patients are causing alteration in immune response. Then, bacterial and fungal pathogens are also co-habiting the upper respiratory traits (e.g., Staphylococcus aureus and Candida albicans), thus contributing to morbidity in those COVID-19 affected patients. Methods Liquid chromatography coupled with high-resolution mass spectrometry using the quadrupole orbital ion trap analyser (i.e., UHPLC-Q-Orbitrap HRMS) was adopted to measure the polyphenols content of a new nutraceutical formula (Solution-3). Viral infections with SARS-CoV-2 (EG.5), FLU-A and RSV-A viruses (as performed in BLS3 authorised laboratory) and real time RT-PCR (qPCR) assay were used to test the antiviral action of the nutraceutical formula. Dilution susceptibility tests have been used to estimate the minimum inhibitory and bactericidal concentration (MIC and MBC, respectively) of Solution-3 on a variety of microorganisms belonging to Gram positive/ negative bacteria and fungi. Transcriptomic data analyses and functional genomics (i.e., RNAseq and data mining), coupled to qPCR and ELISA assays have been used to investigate the mechanisms of action of the nutraceutical formula on those processes involved in innate immune response. Results Here, we have tested the combination of natural products containing higher amounts of polyphenols (i.e., propolis, Verbascum thapsus L., and Thymus vulgaris L.), together with the inorganic long chain polyphosphates ‘polyPs’ with antiviral, antibacterial, and antifungal behaviours, against SARS-CoV-2, FLU-A, RSV-A, Gram positive/ negative bacteria and fungi (i.e., Candida albicans). These components synergistically exert an immunomodulatory action by enhancing those processes involved in innate immune response (e.g., cytokines: IFNγ, TNFα, IL-10, IL-6/12; chemokines: CXCL1; antimicrobial peptides: HBD-2, LL-37; complement system: C3). Conclusion The prophylactic antimicrobial success of this nutraceutical formula against SARS-CoV-2, FLU-A and RSV-A viruses, together with the common bacteria and fungi co-infections as present in human oral cavity, is expected to be valuable.

The detection of evolutionary transitions in influenza A (H3N2) viruses' antigenicity is a major obstacle to effective vaccine design and development. In this study, we describe Novel Influenza Virus A Detector (NIAViD), an unsupervised machine learning tool, adept at identifying these transitions, using the HA1 sequence and associated physico-chemical properties. NIAViD performed with 88.9% (95% CI, 56.5–98.0%) and 72.7% (95% CI, 43.4–90.3%) sensitivity in training and validation, respectively, outperforming the uncalibrated null model—33.3% (95% CI, 12.1–64.6%) and does not require potentially biased, time-consuming and costly laboratory assays. The pivotal role of the Boman's index, indicative of the virus's cell surface binding potential, is underscored, enhancing the precision of detecting antigenic transitions. NIAViD's efficacy is not only in identifying influenza isolates that belong to novel antigenic clusters, but also in pinpointing potential sites driving significant antigenic changes, without the reliance on explicit modelling of haemagglutinin inhibition titres. We believe this approach holds promise to augment existing surveillance networks, offering timely insights for the development of updated, effective influenza vaccines. Consequently, NIAViD, in conjunction with other resources, could be used to support surveillance efforts and inform the development of updated influenza vaccines. [ABSTRACT FROM AUTHOR]