Pathogen-specific immune responses might underlie divergent outcomes of coronavirus and influenza infection in the natural porcine host

Coronaviruses and influenza A viruses are major respiratory pathogens with pandemic potential. Using pigs as a translational large-animal model, we compare the virulence, pathogenesis, and immune responses to porcine respiratory coronavirus (PRCV) and pandemic H1N1 2009 influenza virus (pH1N1). Here we show that PRCV induces higher viral load and prolonged viral shedding, stronger systemic and mucosal T cell activation, expansion of memory B cells, and distinct nasal microbiome changes. In contrast, pH1N1 results in rapid neutralising antibody production, robust Tfh and germinal centre B cell responses, and broader early nasal microbial diversity. Transcriptional responses to PRCV and pH1N1 infection start with the activation of shared interferon-stimulated genes but later diverge as pathways involving stromal-immune interactions and vascular integrity shapes lung pathology and subsequent immune responses. These findings demonstrate fundamental differences in coronavirus and influenza virus-host interactions and establish the pig as a powerful comparative model for studying respiratory virus pathogenesis and immunity.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2026-05-30
DOI
https://doi.org/10.1038/s42003-026-10400-y
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pathogen-specific immune responses might underlie divergent outcomes of coronavirus and influenza infection in the natural porcine host

Basudev Paudyal, Inés Ruedas‐Torres, Katherine Marougka, K Van Reeth et al.
Communications Biology
Influenza Virus Research Studies
article

Pathogen-specific immune responses might underlie divergent outcomes of coronavirus and influenza infection in the natural porcine host

Basudev Paudyal, Inés Ruedas‐Torres, Katherine Marougka, K Van Reeth, Cornelis A. M. de Haan, Francisco J. Salguero, Arianne C. Richard, Elma Tchilian, B. Veronica Carr, Ashutosh Vats, Ehsan Sedaghat-Rostami, Liu Yang, Graham Freimanis, Emily Briggs, Jai Mehat, Wilhelm Gerner, Christine Rollier, Tim Downing, Roberto La Ragione, Andrew Muir
article en

Abstract

Coronaviruses and influenza A viruses are major respiratory pathogens with pandemic potential. Using pigs as a translational large-animal model, we compare the virulence, pathogenesis, and immune responses to porcine respiratory coronavirus (PRCV) and pandemic H1N1 2009 influenza virus (pH1N1). Here we show that PRCV induces higher viral load and prolonged viral shedding, stronger systemic and mucosal T cell activation, expansion of memory B cells, and distinct nasal microbiome changes. In contrast, pH1N1 results in rapid neutralising antibody production, robust Tfh and germinal centre B cell responses, and broader early nasal microbial diversity. Transcriptional responses to PRCV and pH1N1 infection start with the activation of shared interferon-stimulated genes but later diverge as pathways involving stromal-immune interactions and vascular integrity shapes lung pathology and subsequent immune responses. These findings demonstrate fundamental differences in coronavirus and influenza virus-host interactions and establish the pig as a powerful comparative model for studying respiratory virus pathogenesis and immunity.

Communications Biology
The Pirbright Institute (GB), Babraham Institute (GB), Defence Science and Technology Laboratory (GB), Utrecht University (NL), University of Surrey (GB), Ghent University (BE)
Good health and well-being
Openalex Percentile: Top 6%
Influenza Virus Research Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.