BLUEBERRIES AND FRUIT POLYPHENOLS MODULATE THE GUT MICROBIOME AND MAY PREVENT AGE-RELATED DYSBIOSIS
Bibliographic record
Abstract
The incidence of chronic diseases is increasing during aging in association with low-grade inflammation in a syndrome called “inflammaging”. In the gut, inflammaging disturbs homeostasis and reduces epithelium tightness, the thickness of the mucus layer and weakens the immune barrier, leading to the diffusion of pro-inflammatory LPS. Aging people have an altered microbiota and a reduced barrier function. Recently, we have shown that obese mice fed with cranberry polyphenols had reduced intestinal inflammation and insulin resistance, while displaying a modulated gut microbiota. One specific bacteria, Akkermansia muciniphila, was identified and shown to stimulate mucus production and improve the barrier function. Our results suggest that the consumption of berry polyphenols maintains a well-balanced microbiota and improve intestinal and underlying metabolic functions. During this presentation, data on the loss of gut microbiota homeostasis during aging will be presented and discussed in light of the preventative role of berry polyphenols on chronic diseases.
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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 | 0.000 | 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".