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  • Longitudinal Multi-omics An...
    Bernardes, Joana P.; Tran, Florian; Best, Lena; Bordoni, Dora; Josephs-Spaulding, Jonathan; Köhler, Philipp; Künstner, Axel; Rosati, Elisa; Bacher, Petra; Bruse, Niklas; Franzenburg, Sören; Frey, Norbert; Fuß, Janina; Glück, Andreas; Hamm, Jacob; Imm, Simon; Kaiser, Sina; Lange, Christoph; Laue, Georg; Marinos, Georgios; Pickkers, Peter; Rabe, Klaus F.; Renz, Alina; Röcken, Christoph; Rupp, Jan; Schaffarzyk, Annika; Scheffold, Alexander; Schulte-Schrepping, Jonas; Skowasch, Dirk; Ulas, Thomas; Wandinger, Klaus-Peter; Wittig, Michael; Zimmermann, Johannes; Busch, Hauke; Hoyer, Bimba F.; Kaleta, Christoph; Heyckendorf, Jan; Rybniker, Jan; Schultze, Joachim L.; Rosenstiel, Philip; Banovich, Nicholas E.; Desai, Tushar; Eickelberg, Oliver; Haniffa, Muzlifa; Horvath, Peter; Kropski, Jonathan A.; Lafyatis, Robert; Meyer, Kerstin; Nawijn, Martijn C.; Nikolic, Marko; Ordovas Montanes, Jose; Pe’er, Dana; Tata, Purushothama Rao; Rawlins, Emma; Regev, Aviv; Reyfman, Paul; Samakovlis, Christos; Schultze, Joachim; Shalek, Alex; Shepherd, Douglas; Spence, Jason; Theis, Fabian; van den Berge, Maarten; von Papen, Michael; Whitsett, Jeffrey; Angelov, Angel; Bals, Robert; Bonifacio, Ezio; Colme-Tatche, Maria; Diefenbach, Andreas; Dilthey, Alexander; Fischer, Nicole; Gagneur, Julien; Goesmann, Alexander; Kallies, René; Kehr, Birte; Keller, Andreas; Kim-Hellmuth, Sarah; Korbel, Jan O.; Kurth, Ingo; Landthaler, Markus; Li, Yang; Ludwig, Kerstin; Makarewicz, Oliwia; Nöthen, Markus; Nürnberg, Peter; Ohler, Uwe; Overmann, Jörg; Peter, Silke; Pfeffer, Klaus; Poetsch, Anna R.; Rajewsky, Niklaus; Ralser, Markus; Saliba, Antoine-Emmanuel; Schulte, Eva-Christina; Sczyrba, Alexander; Stegle, Oliver; Stoye, Jens; von Kleist, Max; Walker, Andreas

    Immunity (Cambridge, Mass.), 12/2020, Letnik: 53, Številka: 6
    Journal Article

    Temporal resolution of cellular features associated with a severe COVID-19 disease trajectory is needed for understanding skewed immune responses and defining predictors of outcome. Here, we performed a longitudinal multi-omics study using a two-center cohort of 14 patients. We analyzed the bulk transcriptome, bulk DNA methylome, and single-cell transcriptome (>358,000 cells, including BCR profiles) of peripheral blood samples harvested from up to 5 time points. Validation was performed in two independent cohorts of COVID-19 patients. Severe COVID-19 was characterized by an increase of proliferating, metabolically hyperactive plasmablasts. Coinciding with critical illness, we also identified an expansion of interferon-activated circulating megakaryocytes and increased erythropoiesis with features of hypoxic signaling. Megakaryocyte- and erythroid-cell-derived co-expression modules were predictive of fatal disease outcome. The study demonstrates broad cellular effects of SARS-CoV-2 infection beyond adaptive immune cells and provides an entry point toward developing biomarkers and targeted treatments of patients with COVID-19. Display omitted •SARS-CoV2 infection elicits dynamic changes of circulating cells in the blood•Severe COVID-19 is characterized by increased metabolically active plasmablasts•Elevation of IFN-activated megakaryocytes and erythroid cells in severe COVID-19•Cell-type-specific expression signatures are associated with a fatal COVID-19 outcome Bernardes et al. explore COVID-19 disease trajectories by performing longitudinal multi-omics analyses in peripheral blood samples from hospitalized patients. The analyses identify increased numbers of plasmablasts, interferon-activated megakaryocytes, and erythroid cells as hallmarks of severe disease and define molecular signatures linked to a fatal COVID-19 disease outcome.