| Description: |
Data availability: Data files are available at ImmPort (immport.org) under accession number SDY1760. Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is characterized by highly heterogenous manifestations ranging from asymptomatic cases to death for still incompletely understood reasons. As part of the IMmunoPhenotyping Assessment in a COVID-19 Cohort (IMPACC) study, we mapped the plasma proteomes of 1,117 hospitalized coronavirus disease 2019 (COVID-19) patients from 15 hospitals across the USA. Up to 6 samples were collected within ~28 days of hospitalization resulting in one of the largest COVID-19 plasma proteomics cohorts with 2,934 samples. Using perchloric acid to deplete the most abundant plasma proteins allowed for detecting 2,910 proteins. Our findings show that increased levels of neutrophil extracellular trap and heart damage markers are associated with fatal outcomes. Our analysis also identified prognostic biomarkers for worsening severity and death. Our comprehensive longitudinal plasma proteomics study, involving 1,117 participants and 2,934 samples, allowed for testing the generalizability of the findings of many previous COVID-19 plasma proteomics studies using much smaller cohorts. Data: MATERIALS & METHODS Ethics Statement Ethics NIAID staff conferred with the Department of Health and Human Services Office for Human Research Protections (OHRP) regarding potential applicability of the public health surveillance exception [45CFR46.102(39, 93) to the IMPACC study protocol. OHRP concurred that the study satisfied criteria for the public health surveillance exception, and the IMPACC study team sent the study protocol, and participant information sheet for review, and assessment to institutional review boards (IRBs) at participating institutions. Twelve institutions elected to conduct the study as public health surveillance, while 3 sites with prior IRB-approved biobanking protocols elected to integrate and conduct IMPACC under their institutional protocols ... |