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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
A time-resolved proteomic and prognostic map of COVID-19
Cell Systems, Volume 12, No. 8, Year 2021
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Description
COVID-19 is highly variable in its clinical presentation, ranging from asymptomatic infection to severe organ damage and death. We characterized the time-dependent progression of the disease in 139 COVID-19 inpatients by measuring 86 accredited diagnostic parameters, such as blood cell counts and enzyme activities, as well as untargeted plasma proteomes at 687 sampling points. We report an initial spike in a systemic inflammatory response, which is gradually alleviated and followed by a protein signature indicative of tissue repair, metabolic reconstitution, and immunomodulation. We identify prognostic marker signatures for devising risk-adapted treatment strategies and use machine learning to classify therapeutic needs. We show that the machine learning models based on the proteome are transferable to an independent cohort. Our study presents a map linking routinely used clinical diagnostic parameters to plasma proteomes and their dynamics in an infectious disease. © 2021 The Authors
Authors & Co-Authors
Whitwell, Harry J.
United Kingdom, London
Imperial College London
Russian Federation, Nizhny Novgorod
Lobachevsky State University of Nizhni Novgorod
Blyuss, Oleg B.
Russian Federation, Nizhny Novgorod
Lobachevsky State University of Nizhni Novgorod
United Kingdom, Hatfield
University of Hertfordshire
Russian Federation, Moscow
Sechenov First Moscow State Medical University
Joannidis, Michael
Austria, Innsbruck
Medizinische Universitat Innsbruck
Sahanic, Sabina
Austria, Innsbruck
Medizinische Universitat Innsbruck
Hilbe, Richard
Austria, Innsbruck
Medizinische Universitat Innsbruck
García, Carmen Lasaosa
Germany, Berlin
Charité – Universitätsmedizin Berlin
Stegemann, Miriam Songa
Germany, Berlin
Charité – Universitätsmedizin Berlin
Campbell, Archie I.
United Kingdom, Edinburgh
The University of Edinburgh
Hayward, Caroline
United Kingdom, Edinburgh
Mrc Human Genetics Unit
Porteous, David John
United Kingdom, Edinburgh
The University of Edinburgh
Marioni, Riccardo E.
United Kingdom, Edinburgh
The University of Edinburgh
Zoller, Heinz M.P.
Austria, Vienna
Christian Doppler Forschungsgesellschaft
Tancevski, Ivan
Austria, Innsbruck
Medizinische Universitat Innsbruck
Timms, John F.
United Kingdom, London
University College London
Zaikin, Alexey A.
United Kingdom, London
University College London
Russian Federation, Nizhny Novgorod
Lobachevsky State University of Nizhni Novgorod
Hippenstiel, Stefan
Germany, Berlin
Charité – Universitätsmedizin Berlin
Germany, Giessen
German Center for Lung Research
Ramharter, Michael
Germany, Hamburg
Bernhard Nocht Institut Fur Tropenmedizin Hamburg
Witzenrath, Martin
Germany, Berlin
Charité – Universitätsmedizin Berlin
Germany, Giessen
German Center for Lung Research
Suttorp, Norbert
Germany, Berlin
Charité – Universitätsmedizin Berlin
Germany, Giessen
German Center for Lung Research
Lilley, Kathryn S.
United Kingdom, Cambridge
University of Cambridge
Zoller, Thomas
Unknown Affiliation
Schürmann, Dirk
Unknown Affiliation
Conrad, Claudia
Unknown Affiliation
Eckardt, Kai Uwe
Unknown Affiliation
Spies, Claudia D.
Unknown Affiliation
Schmidt, Sein
Unknown Affiliation
Roehle, Robert
Unknown Affiliation
Hillus, David
Unknown Affiliation
Hummel, Michael
Unknown Affiliation
Corman, Victor Max
Unknown Affiliation
Drosten, C.
Unknown Affiliation
Von-Kalle, Christof
Unknown Affiliation
Ralser, Markus
Germany, Berlin
Charité – Universitätsmedizin Berlin
United Kingdom, London
The Francis Crick Institute
Kurth, Florian
Germany, Berlin
Charité – Universitätsmedizin Berlin
Germany, Hamburg
Bernhard Nocht Institut Fur Tropenmedizin Hamburg
Statistics
Citations: 86
Authors: 34
Affiliations: 16
Identifiers
Doi:
10.1016/j.cels.2021.05.005
ISSN:
24054712
Research Areas
Covid
Noncommunicable Diseases
Study Design
Cohort Study