Research ExplorerPublicationsA time-resolved proteomic and prognostic map of COVID-19

A time-resolved proteomic and prognostic map of COVID-19

Standard

A time-resolved proteomic and prognostic map of COVID-19. / Demichev, Vadim; Tober-Lau, Pinkus; Lemke, Oliver; Nazarenko, Tatiana; Thibeault, Charlotte; Whitwell, Harry; Röhl, Annika; Freiwald, Anja; Szyrwiel, Lukasz; Ludwig, Daniela; Correia-Melo, Clara; Aulakh, Simran Kaur; Helbig, Elisa T; Stubbemann, Paula; Lippert, Lena J; Grüning, Nana-Maria; Blyuss, Oleg; Vernardis, Spyros; White, Matthew; Messner, Christoph B; Joannidis, Michael; Sonnweber, Thomas; Klein, Sebastian J; Pizzini, Alex; Wohlfarter, Yvonne; Sahanic, Sabina; Hilbe, Richard; Schaefer, Benedikt; Wagner, Sonja; Mittermaier, Mirja; Machleidt, Felix; Garcia, Carmen; Ruwwe-Glösenkamp, Christoph; Lingscheid, Tilman; Bosquillon de Jarcy, Laure; Stegemann, Miriam S; Pfeiffer, Moritz; Jürgens, Linda; Denker, Sophy; Zickler, Daniel; Enghard, Philipp; Zelezniak, Aleksej; Campbell, Archie; Hayward, Caroline; Porteous, David J; Marioni, Riccardo E; Uhrig, Alexander; Müller-Redetzky, Holger; Zoller, Heinz; Löffler-Ragg, Judith; Keller, Markus A; Tancevski, Ivan; Timms, John F; Zaikin, Alexey; Hippenstiel, Stefan; Ramharter, Michael; Witzenrath, Martin; Suttorp, Norbert; Lilley, Kathryn; Mülleder, Michael; Sander, Leif Erik; Ralser, Markus; Kurth, Florian; Pa-COVID Study Group.

In: CELL SYST, Vol. 12, No. 8, 18.08.2021, p. 780-794.e7.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Demichev, V, Tober-Lau, P, Lemke, O, Nazarenko, T, Thibeault, C, Whitwell, H, Röhl, A, Freiwald, A, Szyrwiel, L, Ludwig, D, Correia-Melo, C, Aulakh, SK, Helbig, ET, Stubbemann, P, Lippert, LJ, Grüning, N-M, Blyuss, O, Vernardis, S, White, M, Messner, CB, Joannidis, M, Sonnweber, T, Klein, SJ, Pizzini, A, Wohlfarter, Y, Sahanic, S, Hilbe, R, Schaefer, B, Wagner, S, Mittermaier, M, Machleidt, F, Garcia, C, Ruwwe-Glösenkamp, C, Lingscheid, T, Bosquillon de Jarcy, L, Stegemann, MS, Pfeiffer, M, Jürgens, L, Denker, S, Zickler, D, Enghard, P, Zelezniak, A, Campbell, A, Hayward, C, Porteous, DJ, Marioni, RE, Uhrig, A, Müller-Redetzky, H, Zoller, H, Löffler-Ragg, J, Keller, MA, Tancevski, I, Timms, JF, Zaikin, A, Hippenstiel, S, Ramharter, M, Witzenrath, M, Suttorp, N, Lilley, K, Mülleder, M, Sander, LE, Ralser, M, Kurth, F & Pa-COVID Study Group 2021, 'A time-resolved proteomic and prognostic map of COVID-19', CELL SYST, vol. 12, no. 8, pp. 780-794.e7. https://doi.org/10.1016/j.cels.2021.05.005

APA

Demichev, V., Tober-Lau, P., Lemke, O., Nazarenko, T., Thibeault, C., Whitwell, H., Röhl, A., Freiwald, A., Szyrwiel, L., Ludwig, D., Correia-Melo, C., Aulakh, S. K., Helbig, E. T., Stubbemann, P., Lippert, L. J., Grüning, N-M., Blyuss, O., Vernardis, S., White, M., ... Pa-COVID Study Group (2021). A time-resolved proteomic and prognostic map of COVID-19. CELL SYST, 12(8), 780-794.e7. https://doi.org/10.1016/j.cels.2021.05.005

Vancouver

Demichev V, Tober-Lau P, Lemke O, Nazarenko T, Thibeault C, Whitwell H et al. A time-resolved proteomic and prognostic map of COVID-19. CELL SYST. 2021 Aug 18;12(8):780-794.e7. https://doi.org/10.1016/j.cels.2021.05.005

Bibtex

@article{6a4bad4c02b8446b881515419e8dbf63,
title = "A time-resolved proteomic and prognostic map of COVID-19",
abstract = "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.",
keywords = "Age Factors, Biomarkers/analysis, Blood Cell Count, Blood Gas Analysis, COVID-19/pathology, Disease Progression, Enzyme Activation, Humans, Inflammation/pathology, Machine Learning, Prognosis, Proteome/physiology, Proteomics, SARS-CoV-2/immunology",
author = "Vadim Demichev and Pinkus Tober-Lau and Oliver Lemke and Tatiana Nazarenko and Charlotte Thibeault and Harry Whitwell and Annika R{\"o}hl and Anja Freiwald and Lukasz Szyrwiel and Daniela Ludwig and Clara Correia-Melo and Aulakh, {Simran Kaur} and Helbig, {Elisa T} and Paula Stubbemann and Lippert, {Lena J} and Nana-Maria Gr{\"u}ning and Oleg Blyuss and Spyros Vernardis and Matthew White and Messner, {Christoph B} and Michael Joannidis and Thomas Sonnweber and Klein, {Sebastian J} and Alex Pizzini and Yvonne Wohlfarter and Sabina Sahanic and Richard Hilbe and Benedikt Schaefer and Sonja Wagner and Mirja Mittermaier and Felix Machleidt and Carmen Garcia and Christoph Ruwwe-Gl{\"o}senkamp and Tilman Lingscheid and {Bosquillon de Jarcy}, Laure and Stegemann, {Miriam S} and Moritz Pfeiffer and Linda J{\"u}rgens and Sophy Denker and Daniel Zickler and Philipp Enghard and Aleksej Zelezniak and Archie Campbell and Caroline Hayward and Porteous, {David J} and Marioni, {Riccardo E} and Alexander Uhrig and Holger M{\"u}ller-Redetzky and Heinz Zoller and Judith L{\"o}ffler-Ragg and Keller, {Markus A} and Ivan Tancevski and Timms, {John F} and Alexey Zaikin and Stefan Hippenstiel and Michael Ramharter and Martin Witzenrath and Norbert Suttorp and Kathryn Lilley and Michael M{\"u}lleder and Sander, {Leif Erik} and Markus Ralser and Florian Kurth and {Pa-COVID Study Group}",
note = "Copyright {\textcopyright} 2021 The Authors. Published by Elsevier Inc. All rights reserved.",
year = "2021",
month = aug,
day = "18",
doi = "10.1016/j.cels.2021.05.005",
language = "English",
volume = "12",
pages = "780--794.e7",
journal = "CELL SYST",
issn = "2405-4712",
publisher = "Cell Press",
number = "8",

}

RIS

TY - JOUR

T1 - A time-resolved proteomic and prognostic map of COVID-19

AU - Demichev, Vadim

AU - Tober-Lau, Pinkus

AU - Lemke, Oliver

AU - Nazarenko, Tatiana

AU - Thibeault, Charlotte

AU - Whitwell, Harry

AU - Röhl, Annika

AU - Freiwald, Anja

AU - Szyrwiel, Lukasz

AU - Ludwig, Daniela

AU - Correia-Melo, Clara

AU - Aulakh, Simran Kaur

AU - Helbig, Elisa T

AU - Stubbemann, Paula

AU - Lippert, Lena J

AU - Grüning, Nana-Maria

AU - Blyuss, Oleg

AU - Vernardis, Spyros

AU - White, Matthew

AU - Messner, Christoph B

AU - Joannidis, Michael

AU - Sonnweber, Thomas

AU - Klein, Sebastian J

AU - Pizzini, Alex

AU - Wohlfarter, Yvonne

AU - Sahanic, Sabina

AU - Hilbe, Richard

AU - Schaefer, Benedikt

AU - Wagner, Sonja

AU - Mittermaier, Mirja

AU - Machleidt, Felix

AU - Garcia, Carmen

AU - Ruwwe-Glösenkamp, Christoph

AU - Lingscheid, Tilman

AU - Bosquillon de Jarcy, Laure

AU - Stegemann, Miriam S

AU - Pfeiffer, Moritz

AU - Jürgens, Linda

AU - Denker, Sophy

AU - Zickler, Daniel

AU - Enghard, Philipp

AU - Zelezniak, Aleksej

AU - Campbell, Archie

AU - Hayward, Caroline

AU - Porteous, David J

AU - Marioni, Riccardo E

AU - Uhrig, Alexander

AU - Müller-Redetzky, Holger

AU - Zoller, Heinz

AU - Löffler-Ragg, Judith

AU - Keller, Markus A

AU - Tancevski, Ivan

AU - Timms, John F

AU - Zaikin, Alexey

AU - Hippenstiel, Stefan

AU - Ramharter, Michael

AU - Witzenrath, Martin

AU - Suttorp, Norbert

AU - Lilley, Kathryn

AU - Mülleder, Michael

AU - Sander, Leif Erik

AU - Ralser, Markus

AU - Kurth, Florian

AU - Pa-COVID Study Group

N1 - Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

PY - 2021/8/18

Y1 - 2021/8/18

N2 - 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.

AB - 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.

KW - Age Factors

KW - Biomarkers/analysis

KW - Blood Cell Count

KW - Blood Gas Analysis

KW - COVID-19/pathology

KW - Disease Progression

KW - Enzyme Activation

KW - Humans

KW - Inflammation/pathology

KW - Machine Learning

KW - Prognosis

KW - Proteome/physiology

KW - Proteomics

KW - SARS-CoV-2/immunology

U2 - 10.1016/j.cels.2021.05.005

DO - 10.1016/j.cels.2021.05.005

M3 - SCORING: Journal article

C2 - 34139154

VL - 12

SP - 780-794.e7

JO - CELL SYST

JF - CELL SYST

SN - 2405-4712

IS - 8

ER -