Evidence map›Paper›PMID 40704429›Full record

ReviewExperimental dermatology2025

The Skin Microbiome, Microbial Metabolites and the Epidermal Response to Ultraviolet Radiation-Towards Next Generation Suncare.

Steven D Mercer, Andrew J McBain, Catherine O'Neill

Abstract readReview
In one paragraph

Review in Experimental dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Steven D MercerDivision of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.
Andrew J McBainDivision of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.
Catherine O'NeillDivision of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-5456-9396

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

Ultraviolet radiation (UVR) presents one of the greatest challenges to human skin, with numerous studies documenting its effects on skin physiology. Recently, growing recognition of the microbiome's crucial role in skin health has led to investigations on how UVR influences skin-microbiome interactions. Research in mice suggests that the microbiome plays a key role in regulating the skin's response to UVR, impacting inflammation, immune function, and keratinocyte differentiation. These effects may be mediated by microbial metabolites (MM), yet the impact of UVR on microbial metabolism and its subsequent effects on skin health remains poorly understood. Some studies suggest that UVR exposure may modify the composition of the microbiome, which could, in turn, alter the microbial metabolome. This viewpoint reviews the current literature regarding the interplay between the skin, its microbiome, and UVR, and speculates on how UVR-induced changes to microbial composition and metabolism might affect skin health. Furthermore, future areas of research that should be considered and the potential of MM in next generation suncare, cosmetics and therapeutics will be highlighted.

Indexed as

EpidermisMicrobiotaSkinUltraviolet RaysAnimalsHumansMiceSkin Microbiomemicrobial metabolitesmicrobiomeskin healthtryptophanultraviolet radiation

Identifiers

PMID40704429
PMCPMC12287992

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.