T cells promote distinct transcriptional programs of cutaneous inflammatory disease in human skin structural cells.
Hannah A DeBergMitchell L FahningJames D SchlenkerWilliam P SchmittIris Karina GratzJeffrey S CarlinDaniel J CampbellPeter A MorawskiPublished in: bioRxiv : the preprint server for biology (2024)
T cells coordinate with structural cells in the skin to promote appropriate inflammatory responses and subsequent restoration of barrier integrity following insult. Gene expression studies cataloging human skin have defined transcriptionally distinct structural cell populations in healthy tissue and identified inflammatory disease-associated changes in epithelial keratinocytes and dermal fibroblasts. Cutaneous T lymphocyte activity is implicated in the development of inflammatory skin disease, but the mechanisms by which T cells promote disease-associated changes in the skin remain unclear. We show that subsets of circulating and skin-resident CD4 + T cells promote distinct transcriptional outcomes in human keratinocytes and fibroblasts. Using these in vitro generated transcriptional signatures, we identify T cell-dependent gene modules associated with inflammatory skin diseases in vivo , such as a set of T h 17 cell-induced genes in keratinocytes that are enriched in the skin of patients with psoriasis and normalized in response to anti-IL-17 therapy. Interrogating clinical trial findings using in vitro generated structural cell gene networks enables investigation of the immune-dependent contribution to inflammatory skin disease and the heterogeneous patient response to biologic therapy.
Keyphrases
- wound healing
- gene expression
- soft tissue
- oxidative stress
- clinical trial
- single cell
- genome wide
- induced apoptosis
- cell therapy
- transcription factor
- endothelial cells
- dna methylation
- public health
- metabolic syndrome
- cell death
- cell cycle arrest
- type diabetes
- randomized controlled trial
- diabetic rats
- adipose tissue
- study protocol
- heat shock
- peripheral blood
- insulin resistance
- genome wide identification
- weight loss
- heat shock protein
- induced pluripotent stem cells
- high glucose
- case control
- chemotherapy induced
- bioinformatics analysis