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A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Updated January 30, 2023

Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete description of specific immune biomarkers. We present here a comprehensive multi-omic blood atlas for patients with varying COVID-19 severity in an integrated comparison with influenza and sepsis patients versus healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity involved cells, their inflammatory mediators and networks, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism, and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Systems-based integrative analyses including tensor and matrix decomposition of all modalities revealed feature groupings linked with severity and specificity compared to influenza and sepsis. Our approach and blood atlas will support future drug development, clinical trial design, and personalized medicine approaches for COVID-19.

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To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/cdabcf0b-7602-4abf-9afb-3b410e545703
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EGA Accessions:

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Analysis Portals

CZ CELLxGENECZ CELLxGENE
UCSC Cell BrowserUCSC Cell Browser

Project Label

COMBAT2022

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood

Organ Part

Unspecified

Selected Cell Types

peripheral blood mononuclear cell

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

3 disease statuses

Development Stage

8 development stages

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

analysis_protocol_1, analysis_protocol_2, analysis_protocol_3

File Format

2 file formats

Cell Count Estimate

836.1k

Donor Count

124
h5ad1 file(s)xlsx1 file(s)