T cell subsets and functions in atherosclerosis.
Ryosuke SaigusaHolger WinkelsKlaus LeyPublished in: Nature reviews. Cardiology (2020)
Atherosclerosis is a chronic inflammatory disease of the arterial wall and the primary underlying cause of cardiovascular disease. Data from in vivo imaging, cell-lineage tracing and knockout studies in mice, as well as clinical interventional studies and advanced mRNA sequencing techniques, have drawn attention to the role of T cells as critical drivers and modifiers of the pathogenesis of atherosclerosis. CD4+ T cells are commonly found in atherosclerotic plaques. A large body of evidence indicates that T helper 1 (TH1) cells have pro-atherogenic roles and regulatory T (Treg) cells have anti-atherogenic roles. However, Treg cells can become pro-atherogenic. The roles in atherosclerosis of other TH cell subsets such as TH2, TH9, TH17, TH22, follicular helper T cells and CD28null T cells, as well as other T cell subsets including CD8+ T cells and γδ T cells, are less well understood. Moreover, some T cells seem to have both pro-atherogenic and anti-atherogenic functions. In this Review, we summarize the knowledge on T cell subsets, their functions in atherosclerosis and the process of T cell homing to atherosclerotic plaques. Much of our understanding of the roles of T cells in atherosclerosis is based on findings from experimental models. Translating these findings into human disease is challenging but much needed. T cells and their specific cytokines are attractive targets for developing new preventive and therapeutic approaches including potential T cell-related therapies for atherosclerosis.
Keyphrases
- cardiovascular disease
- induced apoptosis
- single cell
- cell cycle arrest
- peripheral blood
- oxidative stress
- endothelial cells
- cell therapy
- regulatory t cells
- low density lipoprotein
- high resolution
- working memory
- signaling pathway
- cell death
- machine learning
- stem cells
- transcription factor
- adipose tissue
- photodynamic therapy
- cardiovascular risk factors
- drug induced
- climate change
- mass spectrometry
- artificial intelligence
- coronary artery disease
- high fat diet induced
- fluorescence imaging