Microbial Cell (Oct 2024)

A complex remodeling of cellular homeostasis distinguishes RSV/SARS-CoV-2 co-infected A549-hACE2 expressing cell lines

  • Claudia Vanetti,
  • Irma Saulle,
  • Valentina Artusa,
  • Claudia Moscheni,
  • Gioia Cappelletti,
  • Silvia Zecchini,
  • Sergio Strizzi,
  • Micaela Garziano,
  • Claudio Fenizia,
  • Antonella Tosoni,
  • Martina Broggiato,
  • Pasquale Ogno,
  • Manuela Nebuloni,
  • Mario Clerici,
  • Daria Trabattoni,
  • Fiona Limanaqi,
  • Mara Biasin

DOI
https://doi.org/10.15698/mic2024.10.838
Journal volume & issue
Vol. 11
pp. 353 – 367

Abstract

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Concurrent infections with two or more pathogens with analogous tropism, such as RSV and SARS-CoV-2, may antagonize or facilitate each other, modulating disease outcome. Clinically, discrepancies in the severity of symptoms have been reported in children with RSV/SARS-CoV-2 co-infection. Herein, we propose an in vitro co-infection model to assess how RSV/SARS-CoV-2 co-infection alters cellular homeostasis. To this end, A549-hACE2 expressing cells were either infected with RSV or SARS-CoV-2 alone or co-infected with both viruses. Viral replication was assessed at 72 hours post infection by droplet digital PCR, immunofluorescence, and transmission electron microscopy. Anti-viral/receptor/autophagy gene expression was evaluated by RT-qPCR and confirmed by secretome analyses and intracellular protein production. RSV/SARS-CoV-2 co-infection in A549-hACE2 cells was characterized by: 1) an increase in the replication rate of RSV compared to single infection; 2) an increase in one of the RSV host receptors, ICAM1; 3) an upregulation in the expression/secretion of pro-inflammatory genes; 4) a rise in the number and length of cellular conduits; and 5) augmented autophagosomes formation and/or alteration of the autophagy pathway. These findings suggest that RSV/SARS-CoV-2 co-infection model displays a unique and specific viral and molecular fingerprint and shed light on the viral dynamics during viral infection pathogenesis. This in vitro co-infection model may represent a potential attractive cost-effective approach to mimic both viral dynamics and host cellular responses, providing in future readily measurable targets predictive of co-infection progression.

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