Study of antioxidant properties of thylakoids and application in UV protection and repair of UV‐induced damage
Bibliographic record
Abstract
BACKGROUND: Skin is affected by environmental stress such as ultraviolet exposure. Topically applied antioxidants confer protection against this stress. Spinach thylakoid extracts are plant samples known as photosynthetic membranes containing antioxidant molecules able to dissipate excess of energy and oxidative stress. METHODS: Antioxidant contents and activities were tested in thylakoid extracts stored for different periods at 4°C to compare their efficacities. Cytotoxicity of thylakoids was tested on human THP-1 cells along with the capacity to protect from oxidative stress using flow cytometry. Protection of thylakoids against ultraviolet was tested on engineered human skin using two formulations and evaluated by electronic microscopy. RESULTS: Results indicate that thylakoid extracts possess antioxidant molecules that were not significantly affected by storage at 4°C whereas photosynthetic activity was storage-dependent. Thylakoid extracts were not cytotoxic to human THP-1 cells, and three extracts protected cells against reactive oxygen species. Moreover, formulation comprising 0.1% or 0.01% of thylakoids and sunscreen provided a synergetic protection against UV exposure. Thylakoid extracts mixed with a neutral cream were also able to repair UV damages on engineered human skin. CONCLUSIONS: Thylakoid extracts contained various antioxidant molecules, and their properties were maintained in over storage at 4°C for more than 72 months. Molecules and enzymes present in thylakoid extracts are involved in protecting and restoring the harmful effects of UV exposure. The involvement of antioxidant molecules such as carotenoids, SOD, and Fe-S clusters in cellular and regulatory metabolic reactions may explain the observed protective effects.
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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 | 0.000 |
| 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) | 0.001 | 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".