Cranberry consumption improves survival in the spontaneously hypertensive stroke‐prone rat
Bibliographic record
Abstract
Hypertension is a risk factor for stroke, a leading cause of death in North America. A reduction in systolic blood pressure of only 3 mm Hg reduces the incidence of cerebrovascular disease. Vascular integrity is altered in hypertension, characterized by arterial inflammation, oxidative stress and vasoconstriction. American cranberries ( Vaccinium macrocarpon) contain polyphenols which have been shown to act as antioxidants and anti‐inflammatory agents in biological systems. We hypothesized that feeding cranberry‐enriched diets (CBD) to spontaneously hypertensive stroke prone rats (SHRSP) would reduce hypertension and incidence of stroke mortalities. Eight‐week‐old SHRSP and Wistar rats (n=10) were fed one of two diets: 3% cranberry + 4% NaCl or 4% NaCl, mixed into commercial chow. SHRSP eating CBD experienced a 10–20 mm Hg reduction in systolic blood pressure by week 6. This hypotensive effect may be due to a reduction in vasoconstriction as SHRSP eating CBD had significantly higher nitrite levels in their urine after 6 wks (p=0.034), suggestive of higher levels of NO release. SHRSP fed control diet had signs of oxidative stress, with elevated F 2 isoprostane excretion in the urine. Feeding cranberry reduced urinary isoprostane excretion in SHRSP rats (p=0.01). Overall, SHRSP on CBD lived 40% longer than control rats (51.3 ± 3.8 days vs 70.5 ± 9.9 days, p= 0.039). These data suggest that cranberry supplementation reduces oxidative stress and vasoconstriction, resulting in lower blood pressure and increased longevity. Funded by NSERC & Atlantic Innovation Fund.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".