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

Published version
Peer-reviewed

Type

Article

Change log

Authors

Messner, Christoph B 
Demichev, Vadim 
Wendisch, Daniel 
Michalick, Laura 
White, Matthew 

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.

Description

Keywords

COVID-19 infection, SWATH-MS, antiviral immune response, clinical classifiers, high-throughput proteomics, mass spectrometry, Adult, Aged, Aged, 80 and over, Betacoronavirus, Biomarkers, Blood Proteins, COVID-19, Coronavirus Infections, Female, Humans, Male, Middle Aged, Pandemics, Pneumonia, Viral, Proteomics, SARS-CoV-2, Young Adult

Journal Title

Cell Syst

Conference Name

Journal ISSN

2405-4712
2405-4720

Volume Title

11

Publisher

Elsevier BV
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/N015282/1)
Medical Research Council (MC_UU_12015/1)
MRC (MC_UU_00006/1)