Exercise induces Hsp70 in smooth muscle cells of the cerebral vasculature
Bibliographic record
Abstract
Exercise (EX) is a complex physiological stressor of the cardiovascular system. EX is known to increase expression of the cytoprotective inducible isoform of the 70 kDa heat shock protein (Hsp70) in blood vessels of working muscle. The objective of this study was to determine whether EX induces a similar increase in Hsp70 content in the cerebral vasculature. Sprague‐Dawley rats (n=10) were randomly assigned to either an EX (60 min treadmill running, 30 m/min, 5 consecutive days) or control group. Brain was harvested 24 hours following the final EX bout and sectioned for immunohistological localization of Hsp70, vascular endothelium and smooth muscle. Results showed increased Hsp70 expression in the cerebral vasculature post‐EX versus controls. Post‐EX, Hsp70 was always observed in the vascular smooth muscle of large cerebral vessels adjacent to the midbrain, and was also infrequently present in the vascular endothelium of these vessels. No Hsp70 was detected in neural regions of the brain. Although unclear, increased expression of Hsp70 may be a response to the change in characteristics of blood and blood flow that occur due to EX, or due to increased autonomic outflow to the vascular smooth muscle. Regardless, the neuroprotective nature of EX may be in part due to the protection of cerebral blood vessels by Hsp70. Supported by NSERC #8170‐05 Grant Funding Source Internal
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".