Influenza Virus Research Studies

This study evaluates trihead nanoparticle immunogens to enhance cross-neutralizing antibody responses against influenza H1 viruses by combining immunofocusing techniques.

Single-component self-assembling protein nanoparticles displaying tandem M2e elicit robust and durable immunity against diverse influenza A viruses.

This study identifies sequence constraints for IGHV1-69 antibodies targeting influenza HA stem, showing light chain and CDR H3 sequences coordinate HA stem specificity.

This paper develops a real-time colorimetric RT-LAMP assay for rapid detection of H5 clade 2.3.4.4b avian influenza viruses with 86.11% sensitivity in 30 minutes.

This study uses deep mutational scanning to analyze the functional constraints and evolutionary potential of the influenza A virus PB1 protein by measuring replicative fitness across most possible amino acid substitutions.

This study shows that the feather epithelium in ducks supports viral replication and releases infectious virions, contributing to environmental spread of H5 HPAIVs.

The paper reports HPAI H5 virus infections and antibodies in wild carnivores in the Netherlands from 2020-2022, showing increasing infection rates and mammalian adaptation markers.

This study shows that lipid-nanoparticle DNA vaccines encoding hemagglutinin protect pigs fully against homologous IAV-S challenge with minimal viral shedding.

This study analyzes the antigenic diversity of N2 neuraminidases from 2009-2017 H3N2 influenza viruses and develops a machine learning method to predict the impact of mutations on NA inhibition.

This study maps the antigenic sites of H9 influenza A virus hemagglutinin using quail sera, identifying key amino acid substitutions that affect antigenic profiles and vaccine efficacy.

This study shows that prolonged influenza vaccine delivery in mice enhances both the quantity and quality of immune responses compared to prime-boost immunization.

This study tracks the global spread of HPAI H5N1 in Northern Gannets, documenting high mortality rates and demographic impacts across multiple colonies.

This study examines how H9N2 avian influenza virus infection affects the upper respiratory microbiota diversity and composition in chickens, finding reduced alpha diversity and persistent microbiota changes during recovery.

This study identifies how the E627K mutation in avian influenza polymerase enables multivalent colocalization with ANP32A and nucleoprotein in human cells, facilitating viral adaptation.

This study reports HPAIV H5N1 clade 2.3.4.4b infection in two grey seals causing encephalitis without systemic spread or prior evidence of antibodies.

The paper reports the genomic characterization of HPAI/H5N1 viruses in marine mammals and seabirds in Peru, identifying reassortant lineages and novel mutations.

The paper estimates that millions of wild birds have died in the current bird flu panzootic, highlighting underreported mortality and its conservation implications.

This paper shows NRF2 activators inhibit influenza A virus by blocking nuclear export of viral RNPs, independent of NRF2 signaling, through interaction with XPO1 and KEAP1.

This study examines how donor lung culture variability and relative humidity affect the stability of H1N1pdm09 virus on nonporous surfaces, finding that donor differences impact persistence more than surface material.

The paper examines how RNA structures in influenza A viruses change during adaptation to humans, finding reduced free energy in template loops associated with increased replication efficiency.

The paper reports the detection of H5N1 AIV clade 2.3.4.4b in Chile in 2022, linked to migratory birds and showing phylogenetic similarity to Peruvian isolates.

ViPal improves influenza virulence prediction by integrating prior viral knowledge into machine learning models using genomic sequences.

This study identifies a triphasic production of IFNγ by different immune cell types during and after influenza A virus infection, highlighting memory-like phenotypes in some cells.

This paper develops in-silico models to predict infectious Influenza A virus strains from genome and protein sequences, achieving high AUC scores and providing a web tool for pandemic preparedness.

The paper identifies a nonsynonymous ERAP1 variant associated with increased susceptibility to influenza virus using scHi-HOST, a single-cell method for genetic susceptibility testing.

TreeKnit infers ancestral reassortment graphs from segment trees of influenza viruses, showing high accuracy and speed compared to Bayesian methods.

This paper develops a reverse-transcription recombinase-aided amplification assay for detecting H5 subtype avian influenza virus with high sensitivity and specificity.