PD-1 maintains CD8 T cell tolerance towards cutaneous neoantigens.
Martina DamoNoah I HornickAarthi VenkatIvana WilliamKathryn CluloSrividhya VenkatesanJiaming HeEric FagerbergJennifer L LozaDarwin KwokAya TalJessica BuckCan CuiJaiveer SinghWilliam E DamskyJonathan S LeventhalSmita KrishnaswamyNikhil S JoshiPublished in: Nature (2023)
The peripheral T cell repertoire of healthy individuals contains self-reactive T cells 1,2 . Checkpoint receptors such as PD-1 are thought to enable the induction of peripheral tolerance by deletion or anergy of self-reactive CD8 T cells 3-10 . However, this model is challenged by the high frequency of immune-related adverse events in patients with cancer who have been treated with checkpoint inhibitors 11 . Here we developed a mouse model in which skin-specific expression of T cell antigens in the epidermis caused local infiltration of antigen-specific CD8 T cells with an effector gene-expression profile. In this setting, PD-1 enabled the maintenance of skin tolerance by preventing tissue-infiltrating antigen-specific effector CD8 T cells from (1) acquiring a fully functional, pathogenic differentiation state, (2) secreting significant amounts of effector molecules, and (3) gaining access to epidermal antigen-expressing cells. In the absence of PD-1, epidermal antigen-expressing cells were eliminated by antigen-specific CD8 T cells, resulting in local pathology. Transcriptomic analysis of skin biopsies from two patients with cutaneous lichenoid immune-related adverse events showed the presence of clonally expanded effector CD8 T cells in both lesional and non-lesional skin. Thus, our data support a model of peripheral T cell tolerance in which PD-1 allows antigen-specific effector CD8 T cells to co-exist with antigen-expressing cells in tissues without immunopathology.
Keyphrases
- induced apoptosis
- high frequency
- regulatory t cells
- wound healing
- cell cycle arrest
- dendritic cells
- mouse model
- soft tissue
- dna damage
- type iii
- transcranial magnetic stimulation
- poor prognosis
- signaling pathway
- oxidative stress
- pi k akt
- copy number
- single cell
- big data
- transcription factor
- newly diagnosed
- cell cycle
- artificial intelligence
- genome wide
- cell proliferation
- electronic health record
- deep learning