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Abstract

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.

OriginalspracheEnglisch
ZeitschriftImmunity
Jahrgang53
Ausgabenummer6
Seiten (von - bis)1296-1314.e9
ISSN1074-7613
DOIs
PublikationsstatusVeröffentlicht - 15.12.2020

Fördermittel

We thank K. Greve, M. Rohm, M. Hansen, S. Kock, D. Oelsner, S. Baumgarten, M. Reffelmann, M. Schlapkohl, N. Braun, T. Wesse, M. Basso, Y. Dolschanskaya, X. Yi, C. Lancken, and M. Vollstedt for perfect technical assistance. This work was supported by the German Research Foundation (DFG) CCGA Nr. 07495230 , a COVID-response grant of the state SH , ExC 2167 Precision Medicine in Chronic Inflammation ( RTF-VI ), the research group miTARGET and the CRC1182 C2 project to P.R.; the IMI2 Project 3TR to P.R. and S.S.; INST 37/1049-1 , INST 216/981-1 , INST 257/605-1 , INST 269/768-1 , INST 217/988-1 , INST 217/577-1 , and EXC2151/1 ( 390873048 ) to J.L.S.; SFB TR57 and SPP1937 to J.N.; Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany ( sparse2big ) to J.L.S.; EU projects SYSCID ( 733100 ) to P.R. and J.L.S.; the DZIF, Germany ( TTU 04.816 and 04.817 ) to J.N.; and the Hector Foundation ) ( M89 ) to J.N. A.D. acknowledges support by the DFG ( EXC 2124-390838134 Controlling Microbes to Fight Infections) and the German Center for Infection Research (DZIF grant N° 8020708703). C.K. acknowledges support by the DFG through EXC 2167 , RTF-VIII , and the CRC 1182 . This publication is part of the Human Cell Atlas ( www.humancellatlas.org/publications ). We are indebted to the patients, their families, and the hospital staff for support, without whom this study would not have been possible.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Coronavirus-Bezug

  • Forschung zu SARS-CoV-2 / COVID-19

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