Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways.
Journal
medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986
Informations de publication
Date de publication:
25 Jul 2022
25 Jul 2022
Historique:
entrez:
4
8
2022
pubmed:
5
8
2022
medline:
5
8
2022
Statut:
epublish
Résumé
Identification of the plasma proteomic changes of Coronavirus disease 2019 (COVID-19) is essential to understanding the pathophysiology of the disease and developing predictive models and novel therapeutics. We performed plasma deep proteomic profiling from 332 COVID-19 patients and 150 controls and pursued replication in an independent cohort (297 cases and 76 controls) to find potential biomarkers and causal proteins for three COVID-19 outcomes (infection, ventilation, and death). We identified and replicated 1,449 proteins associated with any of the three outcomes (841 for infection, 833 for ventilation, and 253 for death) that can be query on a web portal ( https://covid.proteomics.wustl.edu/ ). Using those proteins and machine learning approached we created and validated specific prediction models for ventilation (AUC>0.91), death (AUC>0.95) and either outcome (AUC>0.80). These proteins were also enriched in specific biological processes, including immune and cytokine signaling (FDR ≤ 3.72×10
Identifiants
pubmed: 35923315
doi: 10.1101/2022.07.25.22278025
pmc: PMC9347279
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIBIB NIH HHS
ID : T32 EB021955
Pays : United States
Commentaires et corrections
Type : UpdateIn
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