Loss of CFTR Reverses Senescence Hallmarks in SARS-CoV-2 Infected Bronchial Epithelial Cells.
Flavia MerigoAnna LagniFederico BoschiPaolo BernardiAnita ContiRoberto PlebaniMario RomanoClaudio SorioVirginia LottiAndrea SbarbatiPublished in: International journal of molecular sciences (2024)
SARS-CoV-2 infection has been recently shown to induce cellular senescence in vivo. A senescence-like phenotype has been reported in cystic fibrosis (CF) cellular models. Since the previously published data highlighted a low impact of SARS-CoV-2 on CFTR-defective cells, here we aimed to investigate the senescence hallmarks in SARS-CoV-2 infection in the context of a loss of CFTR expression/function. We infected WT and CFTR KO 16HBE14o-cells with SARS-CoV-2 and analyzed both the p21 and Ki67 expression using immunohistochemistry and viral and p21 gene expression using real-time PCR. Prior to SARS-CoV-2 infection, CFTR KO cells displayed a higher p21 and lower Ki67 expression than WT cells. We detected lipid accumulation in CFTR KO cells, identified as lipolysosomes and residual bodies at the subcellular/ultrastructure level. After SARS-CoV-2 infection, the situation reversed, with low p21 and high Ki67 expression, as well as reduced viral gene expression in CFTR KO cells. Thus, the activation of cellular senescence pathways in CFTR-defective cells was reversed by SARS-CoV-2 infection while they were activated in CFTR WT cells. These data uncover a different response of CF and non-CF bronchial epithelial cell models to SARS-CoV-2 infection and contribute to uncovering the molecular mechanisms behind the reduced clinical impact of COVID-19 in CF patients.
Keyphrases
- cystic fibrosis
- sars cov
- induced apoptosis
- cell cycle arrest
- gene expression
- respiratory syndrome coronavirus
- poor prognosis
- dna damage
- lung function
- randomized controlled trial
- endoplasmic reticulum stress
- endothelial cells
- coronavirus disease
- systematic review
- cell death
- squamous cell carcinoma
- signaling pathway
- oxidative stress
- long non coding rna
- radiation therapy
- binding protein
- artificial intelligence
- prognostic factors
- meta analyses