Trans-resveratrol reduces visible signs of skin ageing in healthy adult females over 40: an 8-week randomized placebo-controlled trial
Bibliographic record
Abstract
Introduction: This double-blind, randomised, placebo-controlled clinical study evaluated the effects of trans-resveratrol on skin health. To date, and to the best of our knowledge, no study has tested trans-resveratrol as the only active ingredient, orally or topically, for improving skin parameters in humans. Therefore, the aim of this study was to investigate the effects of trans-resveratrol on skin health and visible signs of ageing, when administered orally and/or applied topically to the face. Methods: Healthy females aged 40 years and older were randomly assigned to one of four groups: placebo oral and topical (P/P Group), trans-resveratrol oral and placebo topical (A/P Group), placebo oral and trans-resveratrol topical (P/A Group), and trans-resveratrol oral and topical (A/A Group). Participants were instructed to take one capsule (75 mg trans-resveratrol) and apply 1 g of cream (1.5% trans-resveratrol) twice daily for 8 weeks. Outcome measures included wrinkle assessment, skin age, temperature, pore size, forehead lines, glabellar lines, Crow's feet, nasolabial folds, pigmentation, sebum levels, moisture, and elasticity, along with a self-assessment questionnaire, serum trans-resveratrol concentrations, and safety. Results: Out of 134 participants enrolled, 122 completed the study. Results indicated significantly reduced wrinkle scores in the A/A Group compared to the P/P Group at week 8. All treatment groups showed increased sebum levels, with the active topical groups (P/A and A/A Groups) having significantly higher U-zone sebum at week 8 compared to placebo topical groups (P/P and A/P Groups). No significant differences were found in other skin parameters. Serum trans-resveratrol conjugate levels increased significantly in the A/P and A/A Groups at week 4 and 8. All trial products were shown to be safe with minimal and only mild adverse events recorded in every group. Conclusion: Oral and topical trans-resveratrol treatment can help improve skin health parameters. When taken orally and applied topically, trans-resveratrol was effective at wrinkle reduction, and when applied topically, it increased sebum levels. Clinical Trial Registration: identifier ACTRN12621000709842.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".