Language

English

Publication Date

12-1-2025

Journal

Journal of Immunology

DOI

10.1093/jimmun/vkaf263

PMID

41166719

PMCID

PMC12726064

PubMedCentral® Posted Date

10-30-2025

PubMedCentral® Full Text Version

Post-print

Abstract

The National Institutes of Health-funded IMPACC (IMmunoPhenotyping Assessment in a COVID-19 Cohort) evaluated longitudinal clinical and immunological features of human patients hospitalized for COVID-19. This study focuses on comparing the novel NULISAseq assay with the Olink platform using a subset of participants to assess their efficacy in predicting COVID-19 severity and understanding immune response dynamics. Our findings reveal that NULISAseq could provide superior detectability and dynamic range across various targets. Elastic net analysis demonstrated that specific proteins, including amphiregulin, effectively predict COVID-19 severity from sera at admission (samples drawn within 96 h of admission), with a test area under the curve of 0.84. Longitudinal analysis identified significant differences in multiple targets, including IL-5 and interferons, between low- and high-severity groups over time. Additionally, association rule mining suggested potential early markers predictive of later immune cell changes. These findings emphasize the potential of NULISAseq for comprehensive profiling, early prediction, and identification of targeted therapeutic interventions in COVID-19.

Keywords

Humans, COVID-19, SARS-CoV-2, Severity of Illness Index, Male, Middle Aged, Female, Adult, Aged, Immunophenotyping, Longitudinal Studies, Biomarkers, cytokines, human, inflammation, molecular biology, viral

Published Open-Access

yes

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