Biomarine Extracts Significantly Protect from Ultraviolet A–Induced Skin Photoaging: An Ex Vivo Study
Bibliographic record
Abstract
We tested the activity of the marine nutraceutical CL-1222 added with a coenzyme Q10 (CoQ10)-lutein-selenium component (Celergen(®), Laboratoires-Dom, Switzerland) to protect human fibroblasts against ultraviolet A (UVA)-induced photoaging. Cells obtained from 22- to 39-year-old healthy donors were pretreated with CL-1222 before UV irradiation, as compared with same quantity of the CoQ10-lutein-selenium component. As compared to untreated control, UVA-irradiated samples exhibited a significant increase of secreted matrix metalloproteinase-1 (MMP-1) (p<0.001) with over four-fold MMP-1 upregulation (p<0.001). Samples treated with CL-1222, but not with the CoQ10-lutein-selenium component, showed a significant decrease of MMP-1 secretion (p<0.01) and expression decrease (>60%, p<0.01) with >54% elastase activity inhibition (p<0.01). This preliminary study shows that such marine nutraceuticals can significantly protect against UV-irradiation irrespective of the CoQ10-lutein-selenium component with a specific protective gene expression modulation amenable to novel clinical applications.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".