The antioxidant and anti-inflammatory activities of alkylresorcinols from rye bran
Bibliographic record
Abstract
Alkylresorcinols (ARs) are phenolic lipids, found in the bran layer of cereals such as rye.They are natural antioxidants that confer many health benefits.In this study, ARs were extracted from Hazlet rye bran and analyzed for their in vitro antioxidant and antiinflammatory activities and in vivo antiobesity and antioxidant activities.In vitro studies showed that rye bran ARs have higher antioxidant activity than those from wheat and oat bran.ARs also exhibited anti-inflammatory activity by inhibiting the inflammatory mediator nitric oxide (NO), and gene expression of iNOS and COX-2.ARs did not exhibit antiobesity activity in CF-1 mice fed a 60% high fat (HF) diet but showed in vivo antioxidant activity in the liver using the oxygen radical absorbance capacity (ORAC) assay.In heart tissue, ARs exhibited higher antioxidant activity than the HF control diet, using the ORAC, superoxide dismutase (SOD), and glutathione assays, but results were not significant.v 2.4.6Effect of rye bran ARs on the protein expression of iNOS and COX-2 ........... 2.4.7 Effect of rye bran ARs on the mRNA expression of iNOS and COX-2........... 2.5 Discussion ..........
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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".