Protection from solar simulated radiation-induced DNA damage in cultured human fibroblasts by three commercially available sunscreens
Bibliographic record
Abstract
Exposure to solar radiation can produce both acute and chronic changes in the skin, including sunburn, edema, immunosuppression, premature skin aging, and skin cancer. At the cellular level, solar radiation can produce adverse structural and functional changes in membrane proteins and lipids and in chromosomal and mitochondrial DNA. The increasing awareness of these adverse effects has led the public to demand better photoprotection. In this study, the alkaline comet assay was used to evaluate the photoprotective effects of three commercially available sunscreens at sun protection factors (SPF) 15 and 30. Human fibroblasts were used as target cells to conveniently study the effects of solar simulated radiation on DNA damage in the presence and absence of sunscreens. When human fibroblasts were exposed to various doses of solar simulated radiation, DNA damage, as measured in sunscreen-protected cells by the comet assay, was not significantly different from that detected in unexposed cells. At 1.0 and 1.5 minimal erythemal doses (MED), all sunscreens, at both SPF 15 and 30, provided nearly 100% photoprotection to the fibroblasts. Further studies are required to elucidate the role of UVA in the production and repair of DNA damage in cells exposed to sunlight.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".