Back to Search Start Over

Validating a Proteomic Signature of Severe COVID-19.

Authors :
Cosgriff CV
Miano TA
Mathew D
Huang AC
Giannini HM
Kuri-Cervantes L
Pampena MB
Ittner CAG
Weisman AR
Agyekum RS
Dunn TG
Oniyide O
Turner AP
D'Andrea K
Adamski S
Greenplate AR
Anderson BJ
Harhay MO
Jones TK
Reilly JP
Mangalmurti NS
Shashaty MGS
Betts MR
Wherry EJ
Meyer NJ
Source :
Critical care explorations [Crit Care Explor] 2022 Dec 01; Vol. 4 (12), pp. e0800. Date of Electronic Publication: 2022 Dec 01 (Print Publication: 2022).
Publication Year :
2022

Abstract

COVID-19 is a heterogenous disease. Biomarker-based approaches may identify patients at risk for severe disease, who may be more likely to benefit from specific therapies. Our objective was to identify and validate a plasma protein signature for severe COVID-19.<br />Design: Prospective observational cohort study.<br />Setting: Two hospitals in the United States.<br />Patients: One hundred sixty-seven hospitalized adults with COVID-19.<br />Intervention: None.<br />Measurements and Main Results: We measured 713 plasma proteins in 167 hospitalized patients with COVID-19 using a high-throughput platform. We classified patients as nonsevere versus severe COVID-19, defined as the need for high-flow nasal cannula, mechanical ventilation, extracorporeal membrane oxygenation, or death, at study entry and in 7-day intervals thereafter. We compared proteins measured at baseline between these two groups by logistic regression adjusting for age, sex, symptom duration, and comorbidities. We used lead proteins from dysregulated pathways as inputs for elastic net logistic regression to identify a parsimonious signature of severe disease and validated this signature in an external COVID-19 dataset. We tested whether the association between corticosteroid use and mortality varied by protein signature. One hundred ninety-four proteins were associated with severe COVID-19 at the time of hospital admission. Pathway analysis identified multiple pathways associated with inflammatory response and tissue repair programs. Elastic net logistic regression yielded a 14-protein signature that discriminated 90-day mortality in an external cohort with an area under the receiver-operator characteristic curve of 0.92 (95% CI, 0.88-0.95). Classifying patients based on the predicted risk from the signature identified a heterogeneous response to treatment with corticosteroids ( p = 0.006).<br />Conclusions: Inpatients with COVID-19 express heterogeneous patterns of plasma proteins. We propose a 14-protein signature of disease severity that may have value in developing precision medicine approaches for COVID-19 pneumonia.<br />Competing Interests: Dr. Wherry has consulting agreements with and/or is on the scientific advisory board for Merck, Roche, Pieris, Elstar, and Surface Oncology. He is a founder of Surface Oncology and Arsenal Biosciences. EJW has a patent licensing agreement on the PD-1 pathway with Roche/Genetech. He is an inventor on U.S. patent number 10,270,446 submitted by Emory University that covers the use of programmed death ligand 1 blockade to treat infections and cancer. Dr. Meyer receives funding to her institution from Quantum Leap Healthcare Consortium, Athersys, Inc, Biomarck Inc, and the Marcus Foundation for work unrelated to this article. The remaining authors have disclosed that they do not have any potential conflicts of interest.<br /> (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.)

Details

Language :
English
ISSN :
2639-8028
Volume :
4
Issue :
12
Database :
MEDLINE
Journal :
Critical care explorations
Publication Type :
Academic Journal
Accession number :
36479446
Full Text :
https://doi.org/10.1097/CCE.0000000000000800