Lung cancer models reveal SARS-CoV-2-induced EMT contributes to COVID-19 pathophysiology

肺癌模型揭示 SARS-CoV-2 诱导的 EMT 导致 COVID-19 病理生理学

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作者:C Allison Stewart, Carl M Gay, Kavya Ramkumar, Kasey R Cargill, Robert J Cardnell, Monique B Nilsson, Simon Heeke, Elizabeth M Park, Samrat T Kundu, Lixia Diao, Qi Wang, Li Shen, Yuanxin Xi, Bingnan Zhang, Carminia Maria Della Corte, Youhong Fan, Kiran Kundu, Boning Gao, Kimberley Avila, Curtis R Pi

Abstract

COVID-19 is an infectious disease caused by SARS-CoV-2, which enters host cells via the cell surface proteins ACE2 and TMPRSS2. Using a variety of normal and malignant models and tissues from the aerodigestive and respiratory tracts, we investigated the expression and regulation of ACE2 and TMPRSS2. We find that ACE2 expression is restricted to a select population of highly epithelial cells. Notably, infection with SARS-CoV-2 in cancer cell lines, bronchial organoids, and patient nasal epithelium, induces metabolic and transcriptional changes consistent with epithelial to mesenchymal transition (EMT), including upregulation of ZEB1 and AXL, resulting in an increased EMT score. Additionally, a transcriptional loss of genes associated with tight junction function occurs with SARS-CoV-2 infection. The SARS-CoV-2 receptor, ACE2, is repressed by EMT via TGFbeta, ZEB1 overexpression and onset of EGFR TKI inhibitor resistance. This suggests a novel model of SARS-CoV-2 pathogenesis in which infected cells shift toward an increasingly mesenchymal state, associated with a loss of tight junction components with acute respiratory distress syndrome-protective effects. AXL-inhibition and ZEB1-reduction, as with bemcentinib, offers a potential strategy to reverse this effect. These observations highlight the utility of aerodigestive and, especially, lung cancer model systems in exploring the pathogenesis of SARS-CoV-2 and other respiratory viruses, and offer important insights into the potential mechanisms underlying the morbidity and mortality of COVID-19 in healthy patients and cancer patients alike.

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