Journal Article

DZNE-2022-01179

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Mature neutrophils and a NF-κB-to-IFN transition determine the unifying disease recovery dynamics in COVID-19

Frishberg, A. (First author)DZNE* ; Kooistra, E. ; Nuesch-Germano, M. ; Pecht, T. ; Milman, N. ; Reusch, N.Extern* ; Warnat-Herresthal, S.DZNE* ; Bruse, N. ; Händler, K.DZNE* ; Theis, H.DZNE* ; Kraut, M.DZNE* ; van Rijssen, E. ; van Cranenbroek, B. ; Koenen, H. J. ; Heesakkers, H. ; van den Boogaard, M. ; Zegers, M. ; Pickkers, P. ; Becker, M. K. H.DZNE* ; Aschenbrenner, A. C.DZNE* ; Ulas, T.DZNE* ; Theis, F. J. ; Shen-Orr, S. S. ; Schultze, J.DZNE* ; Kox, M.

2022
Elsevier Maryland Heights, MO

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Please use a persistent id in citations: doi:10.1016/j.xcrm.2022.100652

Abstract: Disease recovery dynamics are often difficult to assess, as patients display heterogeneous recovery courses. To model recovery dynamics, exemplified by severe COVID-19, we apply a computational scheme on longitudinally sampled blood transcriptomes, generating recovery states, which we then link to cellular and molecular mechanisms, presenting a framework for studying the kinetics of recovery compared with non-recovery over time and long-term effects of the disease. Specifically, a decrease in mature neutrophils is the strongest cellular effect during recovery, with direct implications on disease outcome. Furthermore, we present strong indications for global regulatory changes in gene programs, decoupled from cell compositional changes, including an early rise in T cell activation and differentiation, resulting in immune rebalancing between interferon and NF-κB activity and restoration of cell homeostasis. Overall, we present a clinically relevant computational framework for modeling disease recovery, paving the way for future studies of the recovery dynamics in other diseases and tissues.

Keyword(s): COVID-19 (MeSH) ; Cell Differentiation (MeSH) ; Humans (MeSH) ; Interferons: metabolism (MeSH) ; NF-kappa B: genetics (MeSH) ; Neutrophils: metabolism (MeSH) ; Signal Transduction (MeSH) ; COVID-19 ; cell deconvolution ; disease modeling ; disease recovery ; gene regulation ; immunology ; medicine ; systems biology ; viral infection ; NF-kappa B ; Interferons

Note: (CC BY-NC-ND)

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Contributing Institute(s):

1. United epigenomic platform (AG Schultze)
2. Platform for Single Cell Genomics and Epigenomics at DZNE & University of Bonn (R&D PRECISE)
3. Modular High Performance Computing and Artificial Intelligence (Modular High Performance Computing)

Research Program(s):

1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2022

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Database coverage:
; ; ; ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DOAJ Seal ; IF >= 15 ; JCR ; SCOPUS ; Web of Science Core Collection

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