Cranberries, but not blueberries, prolong survival in spontaneously hypertensive stroke‐prone rats
Bibliographic record
Abstract
We have shown that feeding cranberries ( Vaccinium. macrocarpon , CB) prolongs survival in spontaneously hypertensive stroke‐prone rats (SHRSP). Here, we evaluated the effect of feeding blueberries ( V. angustifolium , BB) on survival and evaluated possible mechanisms. SHRSP were fed control diet or a diet enriched with 3% CB or 3% BB until the onset of stroke. Weight, feed intake, and systolic blood pressure (BP) were monitored weekly; urinary F2‐isoprostanes, a marker of oxidative stress, were measured at the end of the study. BB lowered BP by 6‐10% at weeks 5‐7, whereas CB lowered BP by 10% only at week 5. BB did not prolong survival, whereas CB increased survival by 40%. Rats with high BP at wks 4 and 5 were more likely to demonstrate early stroke symptoms (p<0.01). Feed efficiency over the first 5 wks also was positively correlated with days to stroke onset (p=0.018, control; p=0.052, CB). Weight at wk 5 was positively correlated with days to stroke in CB (p=0.038), but not in control‐fed SHRSP (p=0.41). In CB‐fed SHRSP, but not control rats, F2 isoprostanes were negatively correlated with BP at wk 5 (p=0.034), and positively correlated with days to stroke (p=0.027). These results suggest that effects on BP and weight/ feed efficiency can contribute to prolongation of stroke onset in SHRSP. Since F2‐isoprostanes are markers of lipid peroxidation, it is surprisingly that their levels promote survival. (Funded by AIF and NSERC).
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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) | 0.001 | 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".