Voluntary exercise prevents cerebrovascular dysfunction and remodelling associated with atherosclerosis in mice
Bibliographic record
Abstract
Physical exercise (PEx) has beneficial vascular effects. In mouse cerebral arteries atherosclerosis is associated endothelial dysfunction and changes in the elastic properties. We hypothesized that PEx prevents these damages. Three‐month old (m/o) male LDLr−/−hApoB+/+ mice (ATX, n=9) and wild type (WT, n=9) controls were exposed, or not, to 3 months of voluntary PEx (≈6 km/day). At 6‐m/o, endothelium‐dependent flow‐mediated dilations (FMD), compliance and incremental distensibility were assessed. Brain vessels matrix metalloproteinase 9 (MMP‐9) activity was evaluated by zymography. Versus WT, FMD was reduced in ATX by 76% at 11.5±0.5 dynes/cm2 (p<0.05) but PEx prevented this decline. At 80 mm Hg, cerebrovascular compliance and incremental distensibility rise in ATX by 26 and 38% versus WT, respectively. PEx normalized these parameters (p<0.05). Pro‐MMP‐9 activity was higher in ATX (1.4±0.1 au) versus WT (1.1±0.1), but normalized by PEx (1.2±0.2) (p<0.05). Our data suggest that ATX affects both the endothelial function and wall elasticity in association with a rise in MMP‐9 activity. PEx prevented these changes demonstrating that it is beneficial to the cerebral circulation. Supported by CIHR MOP 89733
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".