Intravascular Pressure Activates Ryanodine Receptors and Elicits Calcium Waves in Cerebral Arterial Smooth Muscle Cells.
Bibliographic record
Abstract
The study examined the effects of intravascular pressure on Ca 2+ wave generation in cerebral arterial smooth muscle cells. Rat cerebral arteries stripped of endothelium and loaded with fluo‐4 were mounted in a pressure myograph. Ca 2+ waves were monitored with a spinning disk confocal microscope coupled to an ICCD that captured images at a rate of 10 frames per second. Elevating intravascular pressure (15 to 80 mmHg) increased Ca 2+ wave frequency (0.56±0.3 to 8.47±0.5 events min −1 ) and the proportion of firing cells (6.98±2.9 to 66.43±8.7%). The generation and maintenance of these asynchronous events was largely voltage‐independent since Diltiazem (30 μM; L‐type Ca 2+ channel blocker) application and manipulations of resting membrane potential had only a limited effect on pressure‐induced Ca 2+ waves. Ryanodine (50 μM) application blocked Ca 2+ wave generation in cerebral arterial smooth muscle cells and attenuated pressure‐induced vasoconstriction. In closing, mechanical stimuli are capable of activating ryanodine receptors and augmenting the generation of Ca 2+ waves in a manner that is independent of resting membrane potential. While Ca 2+ waves are asynchronous among neighboring smooth muscle cells, their generation contributes to the maintenance of myogenic tone in the cerebral circulation. Supported by the Natural Science and Engineering Research Council of Canada.
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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".