Apalutamide Prevents SARS-CoV-2 Infection in Lung Epithelial Cells and in Human Nasal Epithelial Cells.
Amene MajidipurMargot Morin-DewaeleJeanne Gaspar LopesFrancois BerryJulien FouchetSophie BartierAnais Dufros DuvalPascale SoyeuxEric HuetBruno LouisAndré CosteEmilie BéquignonCarolina SaldanaPhilippe Le CorvoisierDamien DestouchesJean-Michel PawlotskyAlexandre de la TailleFrancis VacherotPatrice BruscellaVirginie FirlejPublished in: International journal of molecular sciences (2023)
In early 2020, the novel pathogenic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China, and rapidly propagated worldwide causing a global health emergency. SARS-CoV-2 binds to the angiotensin-converting enzyme 2 (ACE2) protein for cell entry, followed by proteolytic cleavage of the Spike (S) protein by the transmembrane serine protease 2 (TMPRSS2), allowing fusion of the viral and cellular membranes. Interestingly, TMPRSS2 is a key regulator in prostate cancer (PCa) progression which is regulated by androgen receptor (AR) signaling. Our hypothesis is that the AR signaling may regulate the expression of TMPRSS2 in human respiratory cells and thus influence the membrane fusion entry pathway of SARS-CoV-2. We show here that TMPRSS2 and AR are expressed in Calu-3 lung cells. In this cell line, TMPRSS2 expression is regulated by androgens. Finally, pre-treatment with anti-androgen drugs such as apalutamide significantly reduced SARS-CoV-2 entry and infection in Calu-3 lung cells but also in primary human nasal epithelial cells. Altogether, these data provide strong evidence to support the use of apalutamide as a treatment option for the PCa population vulnerable to severe COVID-19.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- induced apoptosis
- endothelial cells
- prostate cancer
- coronavirus disease
- angiotensin converting enzyme
- cell cycle arrest
- poor prognosis
- global health
- public health
- endoplasmic reticulum stress
- emergency department
- binding protein
- pluripotent stem cells
- healthcare
- radical prostatectomy
- machine learning
- mouse model
- cell death
- combination therapy
- single cell
- big data
- transcription factor
- chronic rhinosinusitis
- long non coding rna
- replacement therapy
- data analysis
- smoking cessation