Blueberry diets delay the onset of hypertension and reduce insulin resistance in spontaneously hypertensive stroke prone rats
Bibliographic record
Abstract
Hypertension is a major risk factor for cardiovascular disease, the number one cause of disability and death in North America. Thus, strategies (e.g. diet modification, drugs) to manage hypertension are essential. Lowbush blueberries ( Vaccinium angustifolium ) are rich in polyphenolic antioxidants which are beneficial to stroke, and may have vasorelaxation effects. We fed spontaneously hypertensive stroke‐prone rats (SHrSP) and control rats (CON) either control diet or a diet containing 3% freeze‐dried blueberry extract for 8 wks, to determine effects of blueberry diets on systolic blood pressure (BP). BP increased in both SHrSP groups over 8 wks. However BP in SHrSP on control diets was significantly higher than in CON by wk 4 (p=0.016), while BP in SHrSP consuming blueberries was not significantly elevated relative to CON until wk 7 (p=0.001). Maximum BP was 216 ± 11 mmHg (wk 7), and 178 ± 15 mmHg (wk 8) in SHrSP consuming control and blueberry diets respectively. At wk 6, BP of SHrSP on blueberry diet was 30% lower (p=0.002) than in SHrSP on control diet. In a separate group of SHrSP fed blueberries for 6 wks, a 48% lower glucose/insulin ratio was seen compared to rats on control diet (P=0.08, n=3). These results indicate that a 3% blueberry diet is capable of delaying the onset and reducing the magnitude of hypertension, and may reduce insulin resistance in SHrSP. Supported by NSERC and AIF in grants to MS and KGP.
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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 | 0.000 | 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".