bioRxivCell BiologyPreprint
Local IL-17 orchestrates skin aging
P. Sola, E. Mereu, J. Bonjoch, M. Casado, O. Reina Garcia, E. Blanco Garcia, M. Esteller, L. DiCroce, H. Heyn, G. Solanas, S. Aznar Benitah
Abstract
Skin aging is characterized by structural and functional changes that lead to slower wound healing and higher rate of infections, which contribute to age-associated frailty. This likely depends on synergy between alterations in the local microenvironment and stem cell-intrinsic changes, underscored by pro-inflammatory microenvironments that drive pleotropic changes. To date, little is known about the precise nature and origin of the proposed age-associated inflammatory cues, or how they affect different tissue resident cell types. Based on deep single-cell RNA-sequencing of the entire dermal compartment, we now provide a comprehensive understanding of the age-associated changes in all skin cell types. We show a previously unreported skew towards an IL-17-expressing phenotype of Th cells, {gamma}{delta} T cells and innate lymphoid cells in aged skin. Aberrant IL-17 signaling is common to many autoimmune (e.g., rheumatoid arthritis and psoriasis) and chronic inflammatory diseases. Importantly, in vivo blockade of IL-17-triggered signaling during the aging process reduces the pro-inflammatory state by affecting immune and non-immune skin cells of both dermis and epidermis. Strikingly, IL-17 neutralization significantly delays the appearance of age-related traits, such as decreased epidermal thickness, increased cornified layer thickness and ameliorated hair follicle stem cell activation and hair shaft regeneration. Our results indicate that the aged skin shows chronic and persistent signs of inflammation, and that age-associated increased IL-17 signaling could be targeted as a strategy to prevent age-associated skin ailments in elderly.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: deep learning
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The extracellular matrix fibulin 7 maintains epidermal stem cell heterogeneity during skin aging
Erna Raja, Gopakumar Changarathil, … Aiko Sada·EMBO ReportsPeer-reviewed·Oct 24, 2022
- BMAL1 and YAP cooperate to hijack enhancers and promote inflammation in the aged epidermis
Júlia Bonjoch, Paloma Solá, … Guiomar Solanas·bioRxiv·Apr 22, 2025
- Age-associated Senescent - T Cell Signaling Promotes Type 3 Immunity that Inhibits Regenerative Response
J. Han, C. Cherry, … J. H. Elisseeff·bioRxiv·Aug 17, 2021
- Cell Senescence-Independent Ageing of Human Skin
James Wordsworth, Nicola Fullard, … Daryl P. Shanley·bioRxiv·Aug 15, 2022
- Diminished and altered cellular senescence response in delayed wound healing of aging
Maria Shvedova, Rex Jeya Rajkumar Samdavid Thanapaul, … Danny S. Roh·Aging CellPeer-reviewed·Apr 25, 2026
- Single-cell transcriptomes of the aging human skin reveal loss of fibroblast priming
L. Sole-Boldo, G. Raddatz, … F. Lyko·bioRxiv·May 9, 2019