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Single-cell analyses identify dysfunctional CD16 + CD8 T cells in smokers.
- Source :
-
Cell reports. Medicine [Cell Rep Med] 2020 Jul 21; Vol. 1 (4). - Publication Year :
- 2020
-
Abstract
- Tobacco smoke exposure contributes to the global burden of communicable and chronic diseases. To identify immune cells affected by smoking, we use single-cell RNA sequencing on peripheral blood from smokers and nonsmokers. Transcriptomes reveal a subpopulation of FCGR3A (CD16)-expressing Natural Killer (NK)-like CD8 T lymphocytes that increase in smokers. Mass cytometry confirms elevated CD16 <superscript>+</superscript> CD8 T cells in smokers. Inferred as highly differentiated by pseudotime analysis, NK-like CD8 T cells express markers characteristic of effector memory re-expressing CD45RA T (T <subscript>EMRA</subscript> ) cells. Indicative of immune aging, smokers' CD8 T cells are biased toward differentiated cells and smokers have fewer naïve cells than nonsmokers. DNA methylation-based models show that smoking dose is associated with accelerated aging and decreased telomere length, a biomarker of T cell senescence. Immune aging accompanies T cell senescence, which can ultimately lead to impaired immune function. This suggests a role for smoking-induced, senescence-associated immune dysregulation in smoking-mediated pathologies.<br />Competing Interests: DECLARATION OF INTERESTS The authors declare no competing interests.
- Subjects :
- Adult
CD8-Positive T-Lymphocytes immunology
CD8-Positive T-Lymphocytes metabolism
Cigarette Smoking immunology
Female
GPI-Linked Proteins drug effects
GPI-Linked Proteins immunology
GPI-Linked Proteins metabolism
Humans
Immune System Diseases physiopathology
Killer Cells, Natural immunology
Leukocyte Common Antigens
Male
Middle Aged
Receptors, IgG drug effects
Receptors, IgG immunology
Single-Cell Analysis methods
Smokers
Smoking blood
CD8-Positive T-Lymphocytes drug effects
Cigarette Smoking adverse effects
Receptors, IgG metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2666-3791
- Volume :
- 1
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Cell reports. Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 33163982
- Full Text :
- https://doi.org/10.1016/j.xcrm.2020.100054