Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.
Details
Serval ID
serval:BIB_078856281154
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Multi-Omics Resolves a Sharp Disease-State Shift between Mild and Moderate COVID-19.
Journal
Cell
Working group(s)
ISB-Swedish COVID19 Biobanking Unit
ISSN
1097-4172 (Electronic)
ISSN-L
0092-8674
Publication state
Published
Issued date
10/12/2020
Peer-reviewed
Oui
Volume
183
Number
6
Pages
1479-1495.e20
Language
english
Notes
Publication types: Clinical Trial ; Journal Article ; Multicenter Study ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Abstract
We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention.
Keywords
Adolescent, Adult, Aged, Aged, 80 and over, COVID-19/blood, COVID-19/immunology, Female, Genomics, Humans, Male, Middle Aged, RNA-Seq, SARS-CoV-2/immunology, SARS-CoV-2/metabolism, Severity of Illness Index, Single-Cell Analysis, CITE-seq, COVID-19, immune response, infection, metabolomics, multi-omics, proteomics, single-cell RNA-seq, single-cell TCR-seq, single-cell secretome
Pubmed
Web of science
Open Access
Yes
Create date
28/02/2022 11:45
Last modification date
23/03/2024 7:24