| Literature DB >> 33437935 |
Simone A Thair1, Yudong D He1, Yehudit Hasin-Brumshtein1, Suraj Sakaram1, Rushika Pandya1, Jiaying Toh2,3, David Rawling1, Melissa Remmel1, Sabrina Coyle1, George N Dalekos4, Ioannis Koutsodimitropoulos5, Glykeria Vlachogianni6, Eleni Gkeka7, Eleni Karakike8, Georgia Damoraki8, Nikolaos Antonakos8, Purvesh Khatri2,3, Evangelos J Giamarellos-Bourboulis8, Timothy E Sweeney1.
Abstract
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.Entities:
Keywords: Immunology: Bioinformatics; Molecular Biology; Transcriptomics
Year: 2020 PMID: 33437935 PMCID: PMC7786129 DOI: 10.1016/j.isci.2020.101947
Source DB: PubMed Journal: iScience ISSN: 2589-0042