A69 UVB SKIN EXPOSURE MODULATES INTESTINAL METABOLISM AND HOST DEFENSE
Bibliographic record
Abstract
Abstract Background Gastrointestinal (GI) diseases are rising in Western societies, alongside environmental changes like reduced exposure to ultraviolet (UV) B light. UVB light affects the skin through vitamin D (vitD) and Aryl hydrocarbon receptor (Ahr) signaling, but its potential influence on distant sites, like the gut, is not well studied, despite GI and skin diseases often co-occurring (O’Neill et al, 2016). Patients not only suffer from GI symptoms but also may experience various mood disorders such as anxiety and depression (Graff et al, 2009). We aimed to explore how UVB skin exposure influences gut health, microbiota and its metabolic by-products, and hypothesize that UVB may also affect the gut-brain axis, influencing mood and cognition. Aims Test the (1) effect of UVB light using vitD deficient (-) and sufficient (+) diets on the metabolomic profile and gut microbiome, and (2) the impact of vitD levels and UVB on susceptibility to Citrobacter rodentium infection. Methods Female C57BL/6J mice were fed either vitD (+) or (-) diets. They were anaesthetized, and then 8 cm2 of their dorsal skin was shaved and exposed to UVB. Mice were euthanized to collect serum, cecal content, and stool (FI-ToF metabolomics analysis and 16S sequencing). Ingenuity Pathway Analysis (IPA) was used to predict the impact of metabolic changes. Mice were infected by oral gavage using 2x108 colony-forming units of WT C. rodentium, monitored daily and euthanized on day 10 post-infection. Samples (cecum, colon, and stool) were collected for CFU, histology, immunostaining, and qPCR analysis. Results In vitD (-) fed mice, UVB skin exposure raised vitD levels to match those on vitD (+) diets. Untargeted metabolomics detected ~1,630 stool metabolites at baseline, and following one UVB exposure, 266 metabolites changed in the vitD (-) group, 297 in the vitD (+), with 47 overlapping. After 6 exposures, 449 metabolites changed in the vitD (-) group, 138 in the vit D (+), with 61 overlapping. Pathway analysis revealed significant alterations in purine, tryptophan, and alanine-aspartate-glutamate metabolism. IPA determined that changes in these pathways in the vitD (-) group were associated with mood disorders and colorectal tumor inhibition. 16S microbiome analysis showed changes in the Bacteroidota phylum. Finally, vitD (-) group showed increased susceptibility to C. rodentium infection, while UVB light skin exposure reduced intestinal pathology in the vitD (-) group, suggesting a protective role of UVB light against intestinal infection. Conclusions The study demonstrates that UVB exposure significantly alters the GI metabolome and microbiome, with a greater impact in vitD (-) mice. These findings highlight the complex interplay between UVB exposure, vitD status, and host metabolism and immunity. Funding Agencies NSERC
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".