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ABSTRACT: Background
Psoriasis is an inflammatory, IL-17-driven skin disease in which autoantigen-induced CD8+ T cells have been identified as pathogenic drivers.Objective
Our study focused on comprehensively characterizing the phenotypic variation of CD8+ T cells in psoriatic lesions.Methods
We used single-cell RNA sequencing to compare CD8+ T-cell transcriptomic heterogeneity between psoriatic and healthy skin.Results
We identified 11 transcriptionally diverse CD8+ T-cell subsets in psoriatic and healthy skin. Among several inflammatory subsets enriched in psoriatic skin, we observed 2 Tc17 cell subsets that were metabolically divergent, were developmentally related, and expressed CXCL13, which we found to be a biomarker of psoriasis severity and which achieved comparable or greater accuracy than IL17A in a support vector machine classifier of psoriasis and healthy transcriptomes. Despite high coinhibitory receptor expression in the Tc17 cell clusters, a comparison of these cells with melanoma-infiltrating CD8+ T cells revealed upregulated cytokine, cytolytic, and metabolic transcriptional activity in the psoriatic cells that differed from an exhaustion program.Conclusion
Using high-resolution single-cell profiling in tissue, we have uncovered the diverse landscape of CD8+ T cells in psoriatic and healthy skin, including 2 nonexhausted Tc17 cell subsets associated with disease severity.
SUBMITTER: Liu J
PROVIDER: S-EPMC9179181 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
The Journal of allergy and clinical immunology 20201209 6
<h4>Background</h4>Psoriasis is an inflammatory, IL-17-driven skin disease in which autoantigen-induced CD8<sup>+</sup> T cells have been identified as pathogenic drivers.<h4>Objective</h4>Our study focused on comprehensively characterizing the phenotypic variation of CD8<sup>+</sup> T cells in psoriatic lesions.<h4>Methods</h4>We used single-cell RNA sequencing to compare CD8<sup>+</sup> T-cell transcriptomic heterogeneity between psoriatic and healthy skin.<h4>Results</h4>We identified 11 tran ...[more]