Intracellular calcium stores contribute to the myogenic response of rat cerebral arteries
Bibliographic record
Abstract
Cerebral blood flow is controlled by autoregulatory mechanisms which maintain blood flow within narrow limits despite large changes in blood pressure. Increases in blood pressure cause small cerebral arteries to constrict, a mechanism called the myogenic response. We investigated the contribution of intracellular calcium stores to the development of myogenic tone in rat middle cerebral arteries. Cerebral arteries mounted in a pressure myograph were subjected to stepwise increases in intra‐vascular pressure (20–120 mmHg), and changes in vessel diameter were recorded in the presence or absence of drugs. Cyclopiazonic (CPA; 10 μM), an inhibitor of the SR Ca 2+ ‐ATPase, attenuated myogenic tone at 80mmHg by 64.2 ± 7.2% (n=5). Caffeine (10 mM), a ryanodine channel opener, reduced myogenic tone by 80.3 ± 6.7% (n=5). The effect of caffeine was not inhibited by iberiotoxin (IBTX 100nM; n=4), a large conductance calcium‐activated potassium channel (BK Ca ) blocker, suggesting that activation of BK Ca is unlikely. When CPA was added in combination with nifedipine (10 μM), an L‐type calcium channel blocker, development of myogenic tone was abolished. In conclusion, our data suggests that release of intracellular calcium from the SR plays an important role in the development of myogenic tone in rat middle cerebral arteries. Funded by Heart and Stroke Foundation and University of Alberta Queen Elizabeth II Award.
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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".