Περίληψη:
The pandemic 2019 novel coronavirus disease (COVID-19) shares certain clinical characteristics with other acute viral infections. We studied the whole-blood transcriptomic host response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using RNAseq from 24 healthy controls and 62 prospectively enrolled patients with COVID-19. We then compared these data to non-COVID-19 viral infections, curated from 23 independent studies profiling 1,855 blood samples covering six viruses (influenza, respiratory syncytial virus (RSV), human rhinovirus (HRV), severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1), Ebola, dengue). We show gene expression changes in COVID-19 versus non-COVID-19 viral infections are highly correlated (r = 0.74, p < 0.001). However, we also found 416 genes specific to COVID-19. Inspection of top genes revealed dynamic immune evasion and counter host responses specific to COVID-19. Statistical deconvolution of cell proportions maps many cell type proportions concordantly shifting. Discordantly increased in COVID-19 were CD56bright natural killer cells and M2 macrophages. The concordant and discordant responses mapped out here provide a window to explore the pathophysiology of the host response to SARS-CoV-2. © 2020 The Authors
Molecular Biology; Immunology: Bioinformatics; Transcriptomics © 2020 The Authors
Συγγραφείς:
Thair, S.A.
He, Y.D.
Hasin-Brumshtein, Y.
Sakaram, S.
Pandya, R.
Toh, J.
Rawling, D.
Remmel, M.
Coyle, S.
Dalekos, G.N.
Koutsodimitropoulos, I.
Vlachogianni, G.
Gkeka, E.
Karakike, E.
Damoraki, G.
Antonakos, N.
Khatri, P.
Giamarellos-Bourboulis, E.J.
Sweeney, T.E.
