Influenza Virus Research Studies

Stabilizing H5 HA mutations enhance neutralizing antibody responses by shifting epitope targeting toward the receptor binding site in vaccinated mice.

This paper develops and implements wastewater-based surveillance methods to monitor Influenza A H3N2 and respiratory syncytial virus A in Ontario, Canada, enabling real-time tracking of viral lineages and informing public health decisions.

This study shows zinc ions inhibit influenza virus receptor binding and prevent hemagglutinin function, with no resistance observed after serial passaging.

This paper identifies N-benzamides as inhibitors of influenza virus fusion, showing efficacy against H1 and H5 hemagglutinins with low EC50 values and high selectivity.

This study uses primary bovine embryonic fibroblasts to investigate HPAI H5N1 infection dynamics and finds increased viral fitness in bovine-origin strains and bovine susceptibility to human seasonal IAV.

This study synthesizes and evaluates polycyclic amines as alternatives to adamantane in M2 channel inhibitors, identifying compounds effective against wild-type and mutant M2 channels and showing antiviral activity against human coronavirus 229E.

The paper characterizes clonal dynamics of antibody-secreting cells in bone marrow following influenza infection, finding that IgG ASCs preferentially target nucleoprotein regardless of infection type.

This study identifies mutations in influenza hemagglutinin that increase acid-stability and decrease cleavability, with implications for viral transmissibility and vaccine development.

This paper develops hybrid peptide-DNA nanomaterials that neutralize influenza viruses more effectively than free peptides by enhancing multivalent binding and reducing toxicity.

This study identifies 209 H5Nx reassortant strains of avian influenza viruses from 2020-2024, showing that reassortants from Europe had greater host range and persistence than those from Asia.

This paper evaluates a single-dose H5N1 nanoparticle vaccine in non-human primates, showing strong neutralizing antibody responses against clade 2.3.4.4b.

This study identifies epistatic interactions in H3N2 influenza viruses that enable reversion to bind sialylated diLacNAc glycans, impacting receptor specificity and vaccine strain selection.

This study shows that intranasal influenza vaccination generates durable local B cell memory in the upper airway, while intramuscular vaccination does not.

The paper shows that genetic variation in human immunoglobulin genes affects antibody responses to influenza HA, informing vaccine design to cover diverse populations.

This study compares the virulence of recent bovine and non-bovine HPAI H5N1 isolates in mice, finding the bovine isolate causes severe respiratory and neurologic disease.

This study investigates how antibodies affect B cell receptor access to viral epitopes, finding that proximity, affinity, and valency influence epitope masking.

The paper uses machine learning to predict antigenic properties of influenza A(H3) virus from genomic data, finding that deep learning models outperform classical methods in fine-grained antigenic analysis.

This study shows that Influenza A virus infection causes neuronal damage and TDP-43 pathology in mice brains without persistent viral protein expression.

This study examines the effectiveness of thermisation temperatures in inactivating A(H5N1) virus in whole cow milk using embryonated chicken eggs.

The paper assesses duck vaccination in France and estimates it averted 314-756 outbreaks of highly pathogenic avian influenza, reducing epizootic size by 96-99%.

The study compares contact transmissibility of human, bovine, and mountain lion H5N1 isolates in Syrian hamsters, finding human isolate has higher contact transmissibility despite limited overall transmission.

This study shows that glial cells, particularly astrocytes, promote HPAIV H7N7 infection in vitro by acting as primary virus producers, with microglia initiating pro-inflammatory responses.

This study identifies key HA residues driving antigenic diversity in H5Nx avian influenza viruses through serology and in silico analysis, highlighting four significant residues for vaccine design.

This paper introduces FluAdaX, a deep learning framework to predict influenza A virus cross-species transmission potential using genomic data, identifying key genes and variants associated with host adaptation.

This study demonstrates that the anti-M1 monoclonal antibody 2B-B10-G9 effectively neutralizes influenza A virus subtypes by binding to conserved M1 epitopes and suppressing virulence gene expression.

This study investigates how influenza A virus morphology affects entry kinetics and cell-to-cell spread, finding that filamentous viruses spread more slowly and are advantageous under neutralizing antibody pressure.

This paper develops a vaccine candidate using DIOSvax-H5inter nanocages that elicits cross-clade neutralising antibodies and T cell responses against diverse H5 influenza strains.

This study shows influenza A viruses induce tunnelling nanotube-like structures through apoptosis to spread between cells, evading immune responses.

The paper develops a replicating recombinant vesicular stomatitis virus expressing H5N1 influenza glycoproteins to study viral resistance and antibody escape without biocontainment constraints.