DOI 10.1016/j.jaci.2026.02.014
Comprehensive single-cell transcriptomic profiling of the scalp from patients with moderate-to-severe alopecia areata.
Аннотация
BACKGROUND
Alopecia areata (AA) is an autoimmune hair loss disorder characterized by follicular destruction. While bulk transcriptomic studies have identified contributory inflammatory axes, specific cell pathways remain underexplored.
OBJECTIVE
We characterized the single-cell transcriptomic landscape underpinning AA scalp compared to healthy controls.
METHODS
We performed single-cell RNA sequencing on lesional (LS) and nonlesional scalp biopsy samples from 13 patients with moderate-to-severe AA (5 with alopecia totalis/universalis) and 11 healthy controls.
RESULTS
Overall, we profiled 41,067 high-quality cells. LS AA samples demonstrated robust TH1 activation and cytotoxicity, with upregulated IFNG, GZMH/K, and XCL1/2. Concurrently, TH2 skewing (IL13, IL13RA1, IL4R) and TNFRSF4/OX40 elevations in LS CD4+ and regulatory T-cells were also observed. IL15, JAK2/3, and STAT1 levels were increased in distinct LS dendritic cell subsets, with JAK/STAT genes also upregulated in fibroblasts and keratinocytes. Fibroblasts and smooth muscle cells exhibited enriched proinflammatory and profibrotic markers (CXCL9, CCL26, POSTN, COL5A3, COL6A6). LS keratinocytes further demonstrated downregulated hair keratins and increased interferon signaling. AA endothelial cells showed increased angiogenic and interferon signatures. Compared to patchy AA and controls, alopecia totalis/universalis demonstrated higher expression of multiple cytotoxic, TH1, TH2, and JAK/STAT markers in immune cells, and proliferative and inflammatory signatures in nonimmune cells.
CONCLUSION
This comprehensive high-resolution single-cell map uncovers potential communication networks between immune and nonimmune cell populations in AA scalp, possibly disrupting immune privilege at the hair follicle and driving disease progression and/or severity.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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