The effect of adding strawberries to a cholesterol‐lowering dietary portfolio on markers of oxidative stress
Bibliographic record
Abstract
Objective: To assess the antioxidant effects of strawberries added to an effective cholesterol‐lowering diet (dietary portfolio). Methods: Twenty‐eight hyperlipidemic subjects following a cholesterol‐lowering dietary portfolio, consisting of soy, viscous fiber, plant sterol and nuts, wererandomized to take strawberries (454 g/d, 112 kcal) or additional oat bran bread (65 g/d, 112 kcal, ≈2g β‐glucan) (control) each for one month in a cross‐over design. Results: Both the strawberry and oat bran bread treatments significantly increased serum protein thiols (P<0.001 and P=0.001, respectively), indicating protection of proteins from oxidative damage. TBARS in LDL fraction were significantly reduced with strawberries (P=0.004), indicating protection of LDL from oxidation, however, no significant reduction was seen with oat bran bread (P=0.816). No effect of treatment was seen on conjugated dienes as an additional indicator of LDL oxidative damage. Conclusion: Both strawberries and oat bran bread reduced oxidative damage to serum proteins. However, only strawberries provided evidence of increased protection of LDL from oxidation. Funding: Canada Research Chair Endowment of the Federal Government of Canada; The California Strawberry Commission
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".