Anti-atherosclerotic effects of fruit bioactive compounds: A review of current scientific evidence
Bibliographic record
Abstract
Thilakarathna, S. H. and Rupasinghe, H. P. V. 2012. Anti-atherosclerotic effects of fruit bioactive compounds: A review of current scientific evidence. Can. J. Plant Sci. 92: 407–419. Atherosclerosis is a condition which leads to a cascade of processes involved in thickening of arterial walls as a result of fatty deposition, which can increase the risk of cardiovascular diseases. Among numerous remedies, the consumption of fruits is believed to have beneficial effects on atherosclerosis development. Various bioactive compounds are present in fruits and they have been found to be responsible for exerting these beneficial effects. Fruit flavonoids and certain terpenoids are among the most efficacious fruit bioactive compounds that have shown positive effects on different in vitro as well as in vivo research models of atherosclerosis. The mechanisms of actions of these compounds vary from exerting antioxidant activities to anti-atherogenic and lipid lowering activities, based on different experimental models. This review article briefly explains how some of the fruit bioactive compounds have affected atherosclerosis under experimental conditions.
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 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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".