Evidence map›Paper›PMID 32619549›Full record

ArticleCell systems2020

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

Christoph B Messner, Vadim Demichev, Daniel Wendisch, Laura Michalick, Matthew White, Anja Freiwald, Kathrin Textoris-Taube, Spyros I Vernardis, Anna-Sophia Egger, Marco Kreidl and 23 more

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 345 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
345citing papers in PubMed, 2 pooled it
52.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

345 citing papers in PubMed, 2 syntheses or guidelines pooled it, 603 citations in OpenAlex.

  1. Pooled it
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  17. Early Fc-effector antibody signatures impact COVID-19 disease trajectory.medRxiv : the preprint server for health sciences · 2026
    Article
  18. Dyspepsia followingWorld journal of gastroenterology · 2026
    Article
  19. Observational
  20. Proteomic biomarkers of cognitive function,medRxiv : the preprint server for health sciences · 2026
    Article

285 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

33 authors at 8 institutions in 3 countries.

Christoph B MessnerThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK.
Vadim DemichevThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Department of Biochemistry, The University of Cambridge, Cambridge CB21GA, UK.
Daniel WendischCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Laura MichalickCharité Universitätsmedizin, Institute of Physiology, 10117 Berlin, Germany.
Matthew WhiteThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK.
Anja FreiwaldCharité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany; Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany.
Kathrin Textoris-TaubeCharité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany.
Spyros I VernardisThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK.
Anna-Sophia EggerThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK.
Marco KreidlThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK.
Daniela LudwigCharité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany.
Christiane KilianCharité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany.
Federica AgostiniCharité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany.
Aleksej ZelezniakThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg 412 96, Sweden.
Charlotte ThibeaultCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Moritz PfeifferCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Stefan HippenstielCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Andreas HockeCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Christof von KalleBerlin Institute of Health (BIH) and Charité Universitätsmedizin, Clinical Study Center (CSC), 10117 Berlin, Germany.
Archie CampbellCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Usher Institute, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh EH16 4UX, UK.
Caroline HaywardMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Claudia LangenbergThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK.
Kathryn S LilleyDepartment of Biochemistry, The University of Cambridge, Cambridge CB21GA, UK.
Wolfgang M KueblerCharité Universitätsmedizin, Institute of Physiology, 10117 Berlin, Germany.
Michael MüllederCharité Universitätsmedizin, Core Facility - High-Throughput Mass Spectrometry, 10117 Berlin, Germany.
Christian DrostenCharité Universitätsmedizin, Department of Virology, 10117 Berlin, Germany.
Norbert SuttorpCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Martin WitzenrathCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Florian KurthCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany; Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Leif Erik SanderCharité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.
Markus RalserThe Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany. Electronic address: markus.ralser@charite.de.
Charité - Universitätsmedizin Berlin · DEThe Francis Crick Institute · GBUniversity of Edinburgh · GBBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEChalmers University of Technology · SEMRC Epidemiology Unit · GBMRC Institute of Genetics and Molecular Medicine · GBUniversity of Cambridge · GB

Funding

Medical Research Council MC_PC_17179Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00007/10Medical Research Council MC_UU_12015/1Wellcome Trust 200829/Z/16/ZWellcome Trust FC001134
6 · The paper itself

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.

Indexed as

AdultAgedAged, 80 and overBetacoronavirusBiomarkersBlood ProteinsCoronavirus InfectionsCOVID-19FemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralProteomicsSARS-CoV-2BiomarkersBlood Proteinsantiviral immune responseclinical classifiersCOVID-19 infectionhigh-throughput proteomicsmass spectrometrySWATH-MS

Identifiers

PMID32619549
PMCPMC7264033
OpenAlexW3031410640

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.