PXD029009-1

PXD029009 is an original dataset announced via ProteomeXchange.

Title	A proteomic survival predictor for COVID-19 patients in intensive care
Description	Global healthcare systems are challenged by the COVID-19 pandemic. There is a need to optimize allocation of treatment and resources in intensive care, as clinically established risk assessments such as SOFA and APACHE II scores show only limited performance for predicting the survival of severely ill COVID-19 patients. Comprehensively capturing the host physiology, we speculated that proteomics in combination with new data-driven analysis strategies could produce a new generation of prognostic discriminators. We studied two independent cohorts of patients with severe COVID-19 who required intensive care and invasive mechanical ventilation. SOFA score, Charlson comorbidity index and APACHE II score were poor predictors of survival. Instead, using plasma proteomes quantifying 302 plasma protein groups at 387 timepoints in 57 critically ill patients on invasive mechanical ventilation, we found 14 proteins that showed trajectories different between survivors and non-survivors. A proteomic predictor trained on single samples obtained at the first time point at maximum treatment level (i.e. WHO grade 7) and weeks before the outcome, achieved accurate classification of survivors (AUROC 0.81, n=49). We tested the established predictor on an independent validation cohort (AUROC of 1.0, n=24). The majority of proteins with high relevance in the prediction model belong to the coagulation system and complement cascade. Our study demonstrates that predictors derived from plasma protein levels have the potential to substantially outperform current prognostic markers in intensive care.
HostingRepository	PRIDE
AnnounceDate	2022-03-03
AnnouncementXML	Submission_2022-03-03_03:46:45.954.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Michael Mülleder
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	iodoacetamide derivatized residue
Instrument	TripleTOF 6600

Revision	Datetime	Status	ChangeLog Entry
0	2021-10-08 06:42:47	ID requested
⏵ 1	2022-03-03 03:46:46	announced
2	2023-11-14 08:53:55	announced	2023-11-14: Updated project metadata.

Dataset with its publication pending

ProteomeXchange project tag: Covid-19

submitter keyword: Covid-19, scanningSWATH, Sars-Cov2, plasma

Markus Ralser
contact affiliation	Charité – Universitätsmedizin Berlin, Department of Biochemistry, 10117 Berlin, Germany; The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK
contact email	markus.ralser@charite.de
lab head
Michael Mülleder
contact affiliation	Core Facility -High-Throughput Mass Spectrometry, Charité -Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health (BIH), Berlin, Germany
contact email	michael.muelleder@charite.de
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2022/03/PXD029009

PRIDE project URI

• PRIDE
  1. PXD029009
     1. Label: PRIDE project
     2. Name: A proteomic survival predictor for COVID-19 patients in intensive care