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

Authors :
Messner CB
Demichev V
Wendisch D
Michalick L
White M
Freiwald A
Textoris-Taube K
Vernardis SI
Egger AS
Kreidl M
Ludwig D
Kilian C
Agostini F
Zelezniak A
Thibeault C
Pfeiffer M
Hippenstiel S
Hocke A
von Kalle C
Campbell A
Hayward C
Porteous DJ
Marioni RE
Langenberg C
Lilley KS
Kuebler WM
Mülleder M
Drosten C
Suttorp N
Witzenrath M
Kurth F
Sander LE
Ralser M
Source :
Cell systems [Cell Syst] 2020 Jul 22; Vol. 11 (1), pp. 11-24.e4. Date of Electronic Publication: 2020 Jun 02.
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.<br />Competing Interests: Declaration of Interests The authors declare no competing interests.<br /> (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2405-4720
Volume :
11
Issue :
1
Database :
MEDLINE
Journal :
Cell systems
Publication Type :
Academic Journal
Accession number :
32619549
Full Text :
https://doi.org/10.1016/j.cels.2020.05.012