Single-cell T cell receptor sequencing of paired human atherosclerotic plaques and blood reveals autoimmune-like features of expanded effector T cells.
Marie A C DepuydtFrank H SchaftenaarKoen H M PrangeArjan BoltjesEsmeralda HemmeLucie DelfosJill de MolMaaike J M de JongMireia N A Bernabé KleijnJudith A H M PeetersLauren GoncalvesAnouk WezelHarm J SmeetsGert J de BorstAmanda C FoksGerard PasterkampMenno P J de WintherJohan KuiperIlze BotBram SlütterPublished in: Nature cardiovascular research (2023)
Atherosclerosis is a lipid-driven chronic inflammatory disease; however, whether it can be classified as an autoimmune disease remains unclear. In this study, we applied single-cell T cell receptor seqencing (scTCR-seq) on human carotid artery plaques and matched peripheral blood mononuclear cell samples to assess the extent of TCR clonality and antigen-specific activation within the various T cell subsets. We observed the highest degree of plaque-specific clonal expansion in effector CD4 + T cells, and these clonally expanded T cells expressed genes such as CD69 , FOS and FOSB , indicative of recent TCR engagement, suggesting antigen-specific stimulation. CellChat analysis suggested multiple potential interactions of these effector CD4 + T cells with foam cells. Finally, we integrated a published scTCR-seq dataset of the autoimmune disease psoriatic arthritis, and we report various commonalities between the two diseases. In conclusion, our data suggest that atherosclerosis has an autoimmune compondent driven by autoreactive CD4 + T cells.
Keyphrases
- single cell
- rna seq
- peripheral blood
- regulatory t cells
- multiple sclerosis
- endothelial cells
- high throughput
- dendritic cells
- genome wide
- drug induced
- cardiovascular disease
- pluripotent stem cells
- induced pluripotent stem cells
- social media
- coronary artery disease
- randomized controlled trial
- type diabetes
- gene expression
- oxidative stress
- risk assessment
- dna methylation
- big data
- bone marrow
- cell proliferation
- mesenchymal stem cells
- deep learning
- artificial intelligence
- transcription factor
- immune response