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Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients
Journal article   Open access   Peer reviewed

Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients

Joann Diray-Arce, Slim Fourati, Naresh Doni Jayavelu, Ravi Patel, Cole Maguire, Ana C. Chang, Ravi Dandekar, Jingjing Qi, Brian Lee, Patrick van Zalm, …
Cell reports. Medicine, 101079
23 May 2023
url
https://doi.org/10.1016/j.xcrm.2023.101079View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

COVID-19 Immunophenotyping longitudinal modeling Multi-omics SARS-CoV-2 Systems Immunology
The IMPACC cohort, composed of >1,000 hospitalized COVID-19 participants, contains five illness trajectory groups (TGs) during acute infection (first 28 days), ranging from milder (TG1-3) to more severe disease course (TG4) and death (TG5). Here, we report deep immunophenotyping, profiling of >15,000 longitudinal blood and nasal samples from 540 participants of the IMPACC cohort, using 14 distinct assays. These unbiased analyses identify cellular and molecular signatures present within 72 hours of hospital admission that distinguish moderate from severe and fatal COVID-19 disease. Importantly, cellular and molecular states also distinguish participants with more severe disease that recover or stabilize within 28 days from those that progress to fatal outcomes (TG4 vs. TG5). Furthermore, our longitudinal design reveals that these biologic states display distinct temporal patterns associated with clinical outcomes. Characterizing host immune responses in relation to heterogeneity in disease course may inform clinical prognosis and opportunities for intervention. [Display omitted] •Distinct baseline and temporal patterns are associated with the clinical course.•Persistent viral levels, despite high antibody titers, are associated with severity.•Severity is linked to reduced cytotoxic NK cells, increased inflammation and thrombosis.•Myocardial damage markers distinguish critical patients who recover from those who die. Diray-Arce et al conduct deep immunophenotyping of acute COVID-19 infection using more than 15,000 longitudinal samples from 540 hospitalized patients in the IMPACC cohort. The study comprehensively defines baseline and longitudinal immunologic states that are associated with mild to fatal disease trajectory groups.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Cell Biology
Medicine, Research & Experimental
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