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Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

Authors :
Messner, Christoph B.
Demichev, Vadim
Wendisch, Daniel
Michalick, Laura
White, Matthew
Freiwald, Anja
Textoris-Taube, Kathrin
Vernardis, Spyros I.
Egger, Anna-Sophia
Kreidl, Marco
Ludwig, Daniela
Kilian, Christiane
Agostini, Federica
Zelezniak, Aleksej
Thibeault, Charlotte
Pfeiffer, Moritz
Hippenstiel, Stefan
Hocke, Andreas
von Kalle, Christof
Campbell, Archie
Hayward, Caroline
Porteous, David J.
Marioni, Riccardo E.
Langenberg, Claudia
Lilley, Kathryn S.
Kuebler, Wolfgang M.
Mülleder, Michael
Drosten, Christian
Suttorp, Norbert
Witzenrath, Martin
Kurth, Florian
Sander, Leif Erik
Ralser, Markus
Source :
Cell Systems; July 2020, Vol. 11 Issue: 1 p11-24.e4
Publication Year :
2020

Abstract

The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets.

Details

Language :
English
ISSN :
24054712
Volume :
11
Issue :
1
Database :
Supplemental Index
Journal :
Cell Systems
Publication Type :
Periodical
Accession number :
ejs53611937
Full Text :
https://doi.org/10.1016/j.cels.2020.05.012