Choice of diet impacts the incidence of stroke in the spontaneously hypertensive stroke‐prone rat model
Bibliographic record
Abstract
Selecting appropriate research models is of utmost importance as incorrect models can lead to misleading results. The spontaneously hypertensive stroke‐prone rat (SHRSP) is a commonly used model of cerebrovascular disease and hypertension. Signs of stroke are reported to be observed in SHRSP typically by age 14 weeks, involving any or all of the following acute symptoms: loss of coordination, twitching, weight loss, loss of appetite, and lack of thriftiness. However, after feeding a standard AIN93G purified diet, and 1 or 2% NaCl in water for 8 or 17 weeks, none of the symptoms of stroke were observed in any SHRSP in our laboratory (n=15). Thus, a follow‐up pilot study compared the incidence of stroke in SHRSP fed AIN93‐G purified diet to a commercially available rat chow starting at age 8 weeks. All rats had 4% NaCl in the diet. All SHRSP fed chow showed stroke symptoms at age 14.6 ± 0.7 wks (n=3), while no symptoms developed in SHRSP fed purified diet, and so rats were sacrificed at age 19 weeks (n=3). Body weight was significantly lower at age 14 wks in SHRSP fed chow (261.6 ± 7.5 g) than SHRSP fed AIN93‐G (307.3 ± 4.9 g). In another study, SHRSP rats fed chow with 4 % NaCl developed stroke symptoms by age 15.3 ± 0.5 wks (n=10). These data provide evidence to suggest that dietary composition is a major contributor to the onset of stroke in SHRSP. Further investigations are being carried‐out to determine the specific dietary components of the commercial rat chow that increase incidence of stroke in SHRSP. 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".