PSVI-11 Antioxidative effects of red-osier dogwood extract on H2O2-treated human intestinal epithelial Caco-2 cells
Bibliographic record
Abstract
Abstract Red-osier dogwood is a species of flowering plant native in North America. Its extract may exhibit the anti-oxidative and anti-bacterial properties because it contains plenty of phenolic compounds, polysaccharides, and bioactive peptides. Hence, red-osier dogwood extract (RDE) could be a potential alternative to antibiotics. In the present study, an in vitro oxidative damage model via using Caco-2 cells was established to evaluate the antioxidative effects of RDE. The results showed that 1 mM H2O2 significantly decreased the cell viability, and increased interleukin 8 (IL-8) secretion and reactive oxygen species (ROS) production (P < 0.05). The mRNA abundance of tumor necrosis factor alpha (TNF-α), interleukin 6 (IL-6) and IL-8 also increased in cells treated by H2O2. Caco-2 cells exposed to H2O2 for 6 h were then treated with 100 µg/mL RDE for 24 h. The IL-8 secretion and ROS production induced by H2O2 was significantly blocked by RDE (P < 0.05). RDE reduced the leakage of Fluorescein isothiocyanate (FITC)-dextran, and increased transepithelial resistance (TEER) value compared with the control (H2O2 treatment). Moreover, RDE increased Zonula occludens-1 (ZO-1) and β-actin staining in the cells and tight junction proteins expression including ZO-1, claudin 1, claudin 3 and occludin. These results suggested that RDE enhanced barrier functions and reduced ROS production in the epithelial cells under H2O2-induced oxidative damage.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".