Temporal multi-omic analysis of COVID-19 in end-stage kidney disease
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. We performed longitudinal single-cell immune profiling of ESKD patients with COVID-19.
Transcriptome, surface proteome and immunoreceptor sequencing data were generated on 580,040 high-quality cells, derived from 187 samples from 61 patients. For a subset of individuals, we obtained samples before and during infection, allowing intra-individual comparison. Longitudinal profiling demonstrated distinct temporal gene expression trajectories in severe/critical versus mild/moderate COVID-19. We identified a population of
transcriptionally distinct monocytes that emerged in peripheral blood following glucocorticoid treatment. Evaluation of clonal T cell dynamics showed that the fastest expanding clones were enriched in known SARS-CoV-2 specific sequences and shared across multiple patients. Comparison with external datasets revealed upregulation of immune cell TGB-β pathway expression in ESKD, irrespective of COVID-19 status. Our data delineate the temporal dynamics of the immune response in COVID-19 in a high-risk population.
Transcriptome, surface proteome and immunoreceptor sequencing data were generated on 580,040 high-quality cells, derived from 187 samples from 61 patients. For a subset of individuals, we obtained samples before and during infection, allowing intra-individual comparison. Longitudinal profiling demonstrated distinct temporal gene expression trajectories in severe/critical versus mild/moderate COVID-19. We identified a population of
transcriptionally distinct monocytes that emerged in peripheral blood following glucocorticoid treatment. Evaluation of clonal T cell dynamics showed that the fastest expanding clones were enriched in known SARS-CoV-2 specific sequences and shared across multiple patients. Comparison with external datasets revealed upregulation of immune cell TGB-β pathway expression in ESKD, irrespective of COVID-19 status. Our data delineate the temporal dynamics of the immune response in COVID-19 in a high-risk population.
Date Issued
2025-08-13
Date Acceptance
2025-05-16
Citation
Cell Genomics, 2025, 5 (8)
ISSN
2666-979X
Publisher
Elsevier
Journal / Book Title
Cell Genomics
Volume
5
Issue
8
Copyright Statement
© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Publication Status
Published
Article Number
100918
Date Publish Online
2025-06-17