Anthocyanins in brain regions after long‐term blueberry feeding
Bibliographic record
Abstract
Xenobiotic metabolism involves ancient and well conserved pathways that cause biotransformation and removal of foreign compounds taken in by an organism. Anthocyanins are quickly removed from the body via xenobiotic metabolism. Nevertheless, evidence suggests these polyphenolic compounds may protect neurological tissues by reducing neuroinflammation, decreasing age‐related neurodegenerative disorders, and cognitive decline. Research of the past decades demonstrates that anthocyanins are potent modulators of cell signal transduction and are capable of altering hundreds of metabolic pathways in mammalian cells. Anthocyanins are bioavailability to the circulation; however, less is known about their bioavailability to brain tissue. Understanding anthocyanins and/or anthocyanin metabolite bioavailability to the brain is critical to ascertain their plausible bioactivity. Here we report levels of anthocyanins found in cortex, cerebellum, and midbrain & diencephalon at 18 hours postprandial in pigs fed 2% whole freeze dried blueberries in the diet for 8 weeks. Anthocyanins were found in the femptomole/gram FW tissue range with glucuronides at 1/10th the levels of parent anthocyanins. At these levels plausible mechanism of neuroprotective action of anthocyanins are more likely via modulation of signal transduction processes and/or gene expression rather than by direct radical quenching.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".