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Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19
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 tra...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689306/ https://www.ncbi.nlm.nih.gov/pubmed/33296687 http://dx.doi.org/10.1016/j.immuni.2020.11.017 |
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author | Bernardes, Joana P. Mishra, Neha Tran, Florian Bahmer, Thomas Best, Lena Blase, Johanna I. Bordoni, Dora Franzenburg, Jeanette Geisen, Ulf Josephs-Spaulding, Jonathan Köhler, Philipp Künstner, Axel Rosati, Elisa Aschenbrenner, Anna C. Bacher, Petra Baran, Nathan Boysen, Teide Brandt, Burkhard Bruse, Niklas Dörr, Jonathan Dräger, Andreas Elke, Gunnar Ellinghaus, David Fischer, Julia Forster, Michael Franke, Andre Franzenburg, Sören Frey, Norbert Friedrichs, Anette Fuß, Janina Glück, Andreas Hamm, Jacob Hinrichsen, Finn Hoeppner, Marc P. Imm, Simon Junker, Ralf Kaiser, Sina Kan, Ying H. Knoll, Rainer Lange, Christoph Laue, Georg Lier, Clemens Lindner, Matthias Marinos, Georgios Markewitz, Robert Nattermann, Jacob Noth, Rainer Pickkers, Peter Rabe, Klaus F. Renz, Alina Röcken, Christoph Rupp, Jan Schaffarzyk, Annika Scheffold, Alexander Schulte-Schrepping, Jonas Schunk, Domagoj Skowasch, Dirk Ulas, Thomas Wandinger, Klaus-Peter Wittig, Michael Zimmermann, Johannes Busch, Hauke Hoyer, Bimba F. Kaleta, Christoph Heyckendorf, Jan Kox, Matthijs Rybniker, Jan Schreiber, Stefan Schultze, Joachim L. Rosenstiel, Philip |
author_facet | Bernardes, Joana P. Mishra, Neha Tran, Florian Bahmer, Thomas Best, Lena Blase, Johanna I. Bordoni, Dora Franzenburg, Jeanette Geisen, Ulf Josephs-Spaulding, Jonathan Köhler, Philipp Künstner, Axel Rosati, Elisa Aschenbrenner, Anna C. Bacher, Petra Baran, Nathan Boysen, Teide Brandt, Burkhard Bruse, Niklas Dörr, Jonathan Dräger, Andreas Elke, Gunnar Ellinghaus, David Fischer, Julia Forster, Michael Franke, Andre Franzenburg, Sören Frey, Norbert Friedrichs, Anette Fuß, Janina Glück, Andreas Hamm, Jacob Hinrichsen, Finn Hoeppner, Marc P. Imm, Simon Junker, Ralf Kaiser, Sina Kan, Ying H. Knoll, Rainer Lange, Christoph Laue, Georg Lier, Clemens Lindner, Matthias Marinos, Georgios Markewitz, Robert Nattermann, Jacob Noth, Rainer Pickkers, Peter Rabe, Klaus F. Renz, Alina Röcken, Christoph Rupp, Jan Schaffarzyk, Annika Scheffold, Alexander Schulte-Schrepping, Jonas Schunk, Domagoj Skowasch, Dirk Ulas, Thomas Wandinger, Klaus-Peter Wittig, Michael Zimmermann, Johannes Busch, Hauke Hoyer, Bimba F. Kaleta, Christoph Heyckendorf, Jan Kox, Matthijs Rybniker, Jan Schreiber, Stefan Schultze, Joachim L. Rosenstiel, Philip |
author_sort | Bernardes, Joana P. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7689306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76893062020-11-27 Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 Bernardes, Joana P. Mishra, Neha Tran, Florian Bahmer, Thomas Best, Lena Blase, Johanna I. Bordoni, Dora Franzenburg, Jeanette Geisen, Ulf Josephs-Spaulding, Jonathan Köhler, Philipp Künstner, Axel Rosati, Elisa Aschenbrenner, Anna C. Bacher, Petra Baran, Nathan Boysen, Teide Brandt, Burkhard Bruse, Niklas Dörr, Jonathan Dräger, Andreas Elke, Gunnar Ellinghaus, David Fischer, Julia Forster, Michael Franke, Andre Franzenburg, Sören Frey, Norbert Friedrichs, Anette Fuß, Janina Glück, Andreas Hamm, Jacob Hinrichsen, Finn Hoeppner, Marc P. Imm, Simon Junker, Ralf Kaiser, Sina Kan, Ying H. Knoll, Rainer Lange, Christoph Laue, Georg Lier, Clemens Lindner, Matthias Marinos, Georgios Markewitz, Robert Nattermann, Jacob Noth, Rainer Pickkers, Peter Rabe, Klaus F. Renz, Alina Röcken, Christoph Rupp, Jan Schaffarzyk, Annika Scheffold, Alexander Schulte-Schrepping, Jonas Schunk, Domagoj Skowasch, Dirk Ulas, Thomas Wandinger, Klaus-Peter Wittig, Michael Zimmermann, Johannes Busch, Hauke Hoyer, Bimba F. Kaleta, Christoph Heyckendorf, Jan Kox, Matthijs Rybniker, Jan Schreiber, Stefan Schultze, Joachim L. Rosenstiel, Philip Immunity 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. Elsevier Inc. 2020-12-15 2020-11-26 /pmc/articles/PMC7689306/ /pubmed/33296687 http://dx.doi.org/10.1016/j.immuni.2020.11.017 Text en © 2020 Elsevier Inc. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bernardes, Joana P. Mishra, Neha Tran, Florian Bahmer, Thomas Best, Lena Blase, Johanna I. Bordoni, Dora Franzenburg, Jeanette Geisen, Ulf Josephs-Spaulding, Jonathan Köhler, Philipp Künstner, Axel Rosati, Elisa Aschenbrenner, Anna C. Bacher, Petra Baran, Nathan Boysen, Teide Brandt, Burkhard Bruse, Niklas Dörr, Jonathan Dräger, Andreas Elke, Gunnar Ellinghaus, David Fischer, Julia Forster, Michael Franke, Andre Franzenburg, Sören Frey, Norbert Friedrichs, Anette Fuß, Janina Glück, Andreas Hamm, Jacob Hinrichsen, Finn Hoeppner, Marc P. Imm, Simon Junker, Ralf Kaiser, Sina Kan, Ying H. Knoll, Rainer Lange, Christoph Laue, Georg Lier, Clemens Lindner, Matthias Marinos, Georgios Markewitz, Robert Nattermann, Jacob Noth, Rainer Pickkers, Peter Rabe, Klaus F. Renz, Alina Röcken, Christoph Rupp, Jan Schaffarzyk, Annika Scheffold, Alexander Schulte-Schrepping, Jonas Schunk, Domagoj Skowasch, Dirk Ulas, Thomas Wandinger, Klaus-Peter Wittig, Michael Zimmermann, Johannes Busch, Hauke Hoyer, Bimba F. Kaleta, Christoph Heyckendorf, Jan Kox, Matthijs Rybniker, Jan Schreiber, Stefan Schultze, Joachim L. Rosenstiel, Philip Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title | Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title_full | Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title_fullStr | Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title_full_unstemmed | Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title_short | Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19 |
title_sort | longitudinal multi-omics analyses identify responses of megakaryocytes, erythroid cells, and plasmablasts as hallmarks of severe covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689306/ https://www.ncbi.nlm.nih.gov/pubmed/33296687 http://dx.doi.org/10.1016/j.immuni.2020.11.017 |
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