Choice of diet impacts the incidence of stroke-related symptoms in the spontaneously hypertensive stroke-prone rat model
Bibliographic record
Abstract
The spontaneously hypertensive stroke-prone (SHRSP) rat is a commonly used model of cerebrovascular disease and hypertension. SHRSP rats have been shown to develop stroke-related symptoms (SRS) by age 14 weeks when fed a purified diet, such as AIN-93G, supplemented with 1% NaCl. We conducted a pathology pilot study to compare the incidence of SRS in SHRSP rats fed either AIN-93G (with 1% NaCl in drinking water) or commercially available rat chow (with 4% NaCl in the diet), starting at 8 weeks of age. These results prompted us to analyze data from 5 earlier feeding trials using SHRSP rats. Overall, we found that SHRSP rats fed AIN-93G purified diet for 8 or 17 weeks did not demonstrate SRS (n = 18), whereas all SHRSP rats fed lab chow exhibited SRS at age 15.1 ± 0.6 weeks (n = 23). In addition, SHRSP rats fed lab chow had decreased mass gain starting at age 13 weeks, as well as decreased feed efficiencies after the first 5 weeks of feeding (p < 0.05). In conclusion, our data suggest that diet composition is a major contributor to the onset of stroke in SHRSP rats and that diet choice should be critically evaluated based on endpoint measures in the SHRSP model.
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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 | 0.001 | 0.001 |
| 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".