O22 Potential biomarkers of photoageing relate to pigmentation, DNA repair and the immune response

Abstract Introduction and aims Ultraviolet radiation (UVR) is a major environmental contributor to skin ageing that induces changes in DNA methylation (DNAm); this regulates gene expression to enhance cellular resilience to stress, but can potentially silence critical genes and lead to genomic dysregulation, accelerated ageing, and increased cancer risk. While DNAm has been characterized in habitually photoexposed skin, this has not been related to changes in DNAm that occur following acute UVR exposure of photoprotected skin. Methods Significant differentially methylated positions (DMPs) (Padj ≤ 0.05, Δβ ≥ ± 0.05) in the photoprotected epidermis following acute, solar-simulated UVR (80% sunburn threshold; daily for 5 days) were compared with published data (GSE51954) examining photoexposed skin. Studies included healthy, White, older (acute: > 65 years, n = 12; photoexposed: > 60 years, n = 10) and younger (acute: 18–30 years, n = 12; photoexposed: < 35 years, n = 10) individuals. Data were analysed with limma and related Kyoto Encyclopedia of Genes and Genomes pathways and gene ontology (GO) terms identified using missMethyl. Results Compared with photoprotected skin, acute UVR-exposed skin had fewer significant DMPs (older = 3946; younger = 948) than photoexposed skin (older = 78 593; younger = 29 510). A portion of significant DMPs overlapped following both acute and habitual photoexposure in the younger (70 DMPs) and older (589 DMPs) epidermis. Of these overlapping DMPs, 45 showed significant hypomethylation across age groups. The extent of hypomethylation at these 45 DMPs correlated with age and UVR levels, with old, photoexposed samples showing the greatest loss of methylation (P < 0.001). Associated pathways included citrate cycle (P = 0.037) and antifolate resistance (P = 0.047); both important in facilitating nucleotide synthesis for DNA repair and maintaining cellular function under stress. Significant GO terms included pigment accumulation (P < 0.001) and regulation of CD8+ T-cell activation (P < 0.001). Conclusions A panel of 45 DMPs identified following acute UVR exposure of photoprotected skin were also present in younger and older photoexposed skin. Extent of hypomethylation at these DMPs may be potential biomarkers for the progression of photoageing.

Authors

Institutions

Publication Details

Journal
British Journal of Dermatology
Published
2026-01-01
DOI
https://doi.org/10.1093/bjd/ljaf429.022
Primary Topic
Skin Protection and Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

O22 Potential biomarkers of photoageing relate to pigmentation, DNA repair and the immune response

A. Shyne, Gisela Palma Orozco, Nisha Nair, David A. Gunn et al.
British Journal of Dermatology
Skin Protection and Aging
article

O22 Potential biomarkers of photoageing relate to pigmentation, DNA repair and the immune response

A. Shyne, Gisela Palma Orozco, Nisha Nair, David A. Gunn, Rachel Watson, Mark D. Farrar, Bethany Barnes
article en

Abstract

Abstract Introduction and aims Ultraviolet radiation (UVR) is a major environmental contributor to skin ageing that induces changes in DNA methylation (DNAm); this regulates gene expression to enhance cellular resilience to stress, but can potentially silence critical genes and lead to genomic dysregulation, accelerated ageing, and increased cancer risk. While DNAm has been characterized in habitually photoexposed skin, this has not been related to changes in DNAm that occur following acute UVR exposure of photoprotected skin. Methods Significant differentially methylated positions (DMPs) (Padj ≤ 0.05, Δβ ≥ ± 0.05) in the photoprotected epidermis following acute, solar-simulated UVR (80% sunburn threshold; daily for 5 days) were compared with published data (GSE51954) examining photoexposed skin. Studies included healthy, White, older (acute: > 65 years, n = 12; photoexposed: > 60 years, n = 10) and younger (acute: 18–30 years, n = 12; photoexposed: < 35 years, n = 10) individuals. Data were analysed with limma and related Kyoto Encyclopedia of Genes and Genomes pathways and gene ontology (GO) terms identified using missMethyl. Results Compared with photoprotected skin, acute UVR-exposed skin had fewer significant DMPs (older = 3946; younger = 948) than photoexposed skin (older = 78 593; younger = 29 510). A portion of significant DMPs overlapped following both acute and habitual photoexposure in the younger (70 DMPs) and older (589 DMPs) epidermis. Of these overlapping DMPs, 45 showed significant hypomethylation across age groups. The extent of hypomethylation at these 45 DMPs correlated with age and UVR levels, with old, photoexposed samples showing the greatest loss of methylation (P < 0.001). Associated pathways included citrate cycle (P = 0.037) and antifolate resistance (P = 0.047); both important in facilitating nucleotide synthesis for DNA repair and maintaining cellular function under stress. Significant GO terms included pigment accumulation (P < 0.001) and regulation of CD8+ T-cell activation (P < 0.001). Conclusions A panel of 45 DMPs identified following acute UVR exposure of photoprotected skin were also present in younger and older photoexposed skin. Extent of hypomethylation at these DMPs may be potential biomarkers for the progression of photoageing.

British Journal of DermatologyVol. 194(1)
National Skin Centre (SG), King's College London (GB), University of Manchester (GB), Skin Research Center (FR), A*STAR Graduate Academy (SG)
Openalex Percentile: Top 94%
Skin Protection and Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.