Targeting ROCK Signaling Mitigates Influenza Virus-Induced Fibrogenesis in Human Airway Organoids
ROTHAN, H.; Mostafa, A.; Bayoumi, M.; Ye, C.; Barre, R.; Allue Guardia, A.; Nogales, A.; Torrelles, J. B.; Martinez-Sobrido, L. B.
Show abstract
Influenza A virus (IAV) pandemics continue to pose serious global health threats, particularly to immunocompromised individuals, children, and the elderly. IAV infections trigger inflammation and tissue damage, promoting lung fibrosis. Unraveling these mechanisms is key to preventing and treating viral-induced pulmonary fibrosis and its lasting impact on respiratory health. Despite available antivirals and vaccines, there is a lack of FDA-approved therapeutics for severe or prolonged IAV pathogenesis. We modeled infection with a recombinant highly pathogenic human A/Texas/37/2024 H5N1 (rHPh-TX H5N1) strain using human airway organoids (HAO) to investigate viral replication, innate immune response, infection-induced fibrogenesis, and therapeutic approaches. The rHPh-TX H5N1 replicated efficiently, triggering a potent interferon (IFN) response and pro-inflammatory cytokine expression in HAO. Prolonged infection led to increased fibroblast-like cells surrounding infected areas, characterized by increased alpha-smooth muscle actin (-SMA) expression and upregulation of transforming growth factor-beta (TGF-{beta}), which caused fibroblast activation and extracellular matrix remodeling. Fibrosis-associated markers (FN, COL1A, COL3A, MMP2, MMP9) were significantly higher than in HAO infected with a pandemic recombinant A/California/04/09 H1N1 (pH1N1). Notably, Rho-associated coiled-coil-forming protein kinase (ROCK) pathway inhibition reduced fibrogenesis, with ROCK1 inhibition proving more effective than ROCK2 inhibition. These findings highlight the potential of targeting ROCK signaling to mitigate IAV-induced lung fibrosis.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The K18-hACE2 Transgenic Mouse Model Recapitulates Non-Severe and Severe COVID-19 in Response to Infectious Dose of SARS-CoV-2 Virus 95%
- The SARS-CoV-2 Spike is a virulence determinant and plays a major role on the attenuated phenotype of Omicron virus in a feline model of infection 95%
- Species-specific molecular barriers to SARS-CoV-2 replication in bat cells 95%
Similar papers in this journal
- Viral interference between severe acute respiratory syndrome coronavirus 2 and influenza A viruses 96%
- Rhinovirus C replication is associated with the endoplasmic reticulum and triggers cytopathic effects in an in vitro model of human airway epithelium 95%
- Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning 95%
Similar papers in this journal
- Replication Kinetics, Pathogenicity and Virus-induced Cellular Responses of Cattle-origin Influenza A(H5N1) Isolates from Texas, United States 96%
- UK B.1.1.7 variant exhibits increased respiratory replication and shedding in nonhuman primates 95%
- Pulmonary lesions following inoculation with the SARS-CoV-2 Omicron BA.1 (B.1.1.529) variant in Syrian golden hamsters 94%
Similar papers in this journal
- Tracking inflammation resolution signatures in lungs after SARS-CoV-2 omicron BA.1 infection of K18-hACE2 mice 95%
- A Single Dose of Inactivated Influenza Virus Vaccine Expressing COBRA Hemagglutinin Elicits Broadly-Reactive and Long-Lasting Protection 92%
- Antigen and G-Protein Coupled Receptor signaling differentially control CD8 T cell motility immediately before and after virus clearance in a primary infection 92%
Similar papers in this journal
- The human nose organoid respiratory virus model: an ex-vivo human challenge model to study RSV and SARS-CoV-2 pathogenesis and evaluate therapeutics 96%
- Long Period Modeling SARS-CoV-2 Infection of in Vitro Cultured Polarized Human Airway Epithelium 95%
- A human-ACE2 knock-in mouse model for SARS-CoV-2 infection recapitulates respiratory disorders but avoids neurological disease associated with the transgenic K18-hACE2 model. 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.