bioRxivImmunologyPreprint
Unveiling the Immune Landscape of COVID-19 and prolonged Long-COVID through Single-Cell RNA Sequencing
Marta Līva SpriņģeiD, Kristīne VaivodeiD, Rihards SaksisiD, Nineļa Miriama Vainšeļbauma, Laura AnsoneiD, Monta BrīvībaiD, Helvijs NiedraiD, Vita RovīteiD
Abstract
Long-COVID affects at least 10% of COVID-19 survivors, displaying debilitating symptoms across multiple organ systems. Despite the increasing prevalence, the underlying causes remain unclear. This study presents a unique analysis of the PBMC transcriptomic landscape of COVID-19 and Long-COVID patients at a single-cell resolution. We reconstructed the cell state and communication using differentially expressed gene profiling and ligand-receptor interaction analyses. Our results reveal altered T and NK cell subset proportions, diminished proliferating lymphocyte and B cell signalling capacity, and the expression of exhaustion and cytotoxicity associated genes 1.5 - 2 years post-infection, suggesting incomplete immune recovery. Collectively, these findings provide insights into the immune processes underlying the progression of COVID-19 into a chronic Long-COVID state.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: deep learning
- Citations
- 1
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