Patients with coronavirus disease 2019 (COVID-19) predominantly have a respiratory tract infection with various symptoms and high mortality is associated with respiratory failure second to severe disease. The risk factors leading to severe disease remain unclear. Here, we reanalyzed a published single-cell RNA-Seq (scRNA-Seq) dataset and found that bronchoalveolar lavage fluid (BALF) of patients with severe disease compared to those with mild disease contained decreased TH17-type cells, decreased IFNA1-expressing cells with lower expression of toll-like receptor 7 (TLR7) and TLR8, increased IgA-expressing B cells, and increased hyperactive epithelial cells (and/or macrophages) expressing matrix metalloproteinases (MMPs), hyaluronan synthase 2 (HAS2), and plasminogen activator inhibitor-1 (PAI-1), which may together contribute to the pulmonary pathology in severe COVID-19. We propose IFN-I (and TLR7/TLR8) and PAI-1 as potential biomarkers to predict the susceptibility to severe COVID-19.
【저자키워드】 COVID-19, Th17, type I interferon, PAI-1, IgA, 【초록키워드】 coronavirus disease, Coronavirus disease 2019, Risk factors, Respiratory failure, macrophages, severe COVID-19, susceptibility, TLR7, B cells, respiratory tract infection, Symptom, risk factor, Toll-like receptor, Bronchoalveolar lavage fluid, cells, Patient, IFN-I, epithelial cells, dataset, matrix metalloproteinases, respiratory, BALF, predict, single-cell, Mild disease, Potential biomarker, severe disease, epithelial cell, Pulmonary pathology, Hyaluronan, matrix metalloproteinase, TLR8, high mortality, potential biomarkers, lower expression, HAS2, IFNA1, toll-like receptor 7, Cell, contribute, expressing, IgA-expressing, with mild disease, 【제목키워드】 pulmonary, response,