Dietary resveratrol intervention improves lipid homeostasis via attenuating HFD-induced fecal chenodeoxycholic acid and jejunum SR-B1 elevation
Bibliographic record
Abstract
Abstract Two common features of dietary polyphenols have hampered our mechanistic understanding of their metabolic beneficial effects for decades: targeting multiple organs and extremely low bioavailability. We show here that resveratrol intervention (REV-I) in high fat diet (HFD)-challenged mice inhibited chylomicron secretion, associated with reduced jejunal but not hepatic SR-B1 expression. Intestinal-mucosa-specific SR-B1-/- mice on HFD challenge exhibited improved lipid homeostasis but showed virtually no further response to REV-I. The SR-B1 inhibitor BLT-1 and REV-I generated no additive effect on improving lipid homeostasis. SR-B1 expression in the Caco-2 cell line cannot be repressed by pure resveratrol while fecal-microbiota transplantation from mice on REV-I suppressed jejunal SR-B1 in recipient mice. REV-I reduced fecal levels of bile acids including chenodeoxycholic acid (CDCA), while CDCA stimulated FXR, NF-κB and SR-B1 in Caco-2 cells. We conclude that gut microbiome is the primary target of REV-I, and REV-I improves lipid homeostasis at least partially via attenuating CDCA-stimulated gut SR-B1 elevation.
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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 | 0.001 |
| 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".