Acute exercise alters circulating and local tissue renin‐angiotensin systems
Bibliographic record
Abstract
Although the renin‐angiotensin system (RAS) plays an intricate role in coordinating vascular adaptations to exercise, there is a paucity of information regarding changes to circulating and local RAS associated with acute exercise. Thus, we investigated the modifications to circulating, aorta and kidney RAS in exercised male Sprague Dawley rats. Rats were exercised for 1h and euthanized immediately (IPEx) or 24h post exercise (24PEx, n=10 per group). Compared to non exercised control (CON), plasma ACE activity decreased IPEx, while 24PEx activity decreased further (85.61 ± 3.53 U/L; 75.28 ± 2.87 U/L; 62.03 ± 3.33 U/L, p<0.05 (U = μmol/min)). Plasma angiotensin II levels were increased IPEx (77.04 ± 16.71 pg/mL vs. 151.22 ± 25.42 pg/mL, p<0.05), but 24PEx levels were comparable to CON (81.19 ± 13.62 pg/mL, p>0.05). Compared to CON, aorta ACE activity decreased IPEx and remained blunted 24PEx (0.798 ± 0.03 U/g; 0.661 ± 0.05 U/g; 0.572 ± 0.03 U/g, p<0.05). Aorta ACE protein decreased ∼42% IPEx compared to CON and 24PEx (p<0.05). Kidney ACE activity increased IPEx (CON: 0.526 ± 0.03 U/g; IPEx: 0.648 ± 0.04 U/g; 24PEx: 0.489 ± 0.03 U/g, p<0.05). Upregulation of kidney ACE protein was observed IPEx (+42%) and 24PEx (+77%) (p<0.05). This study highlights changes in systemic and organ‐specific local RAS in response to acute exercise, which may be essential to the beneficial changes observed in chronic exercise. Funding: NSERC / HSFO
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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 | 0.001 |
| 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".