Modulation of intestinal epithelium homeostasis by extra virgin olive oil phenolic compounds
Bibliographic record
Abstract
Dietary habits have been strongly linked to the maintenance of intestinal epithelium homeostasis, whose alteration may contribute to the pathogenesis of inflammatory diseases and cancer. Polyphenols are among those dietary components suggested to be beneficial for gut health. Within a balanced Mediterranean type diet, a good portion of ingested polyphenols comes from olives and extra virgin olive oil (EVOO). Most of them reach the intestine, where they may be directly absorbed or metabolized under absorption. Others undergo an extensive gastrointestinal biotransformation, producing various metabolites that retain the potential beneficial effect of the parent compounds, or exert a more efficient biological action themselves. Ingested EVOO polyphenols (EVOOP) and their metabolites will be particularly concentrated in the intestinal lumen, where they might exert a significant local action. In this review we summarize the few studies that investigated the effect of EVOOP at the intestinal level, focusing on the possible mechanism of action in relation to their interaction with the microbiota, and their ability to potentially modulate the oxidative status of the intestinal epithelial layer, inflammation and immune response.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".