The Role of IP3 Receptors in Generating Calcium Waves and Cerebral Myogenic Tone
Bibliographic record
Abstract
This study of the cerebral vasculature examined whether: 1) elevated intravascular pressure induces asynchronous Ca 2+ waves by activating IP 3 receptors; and 2) these events drive myogenic tone development by augmenting myosin light chain phosphorylation (LC 20 ). Rat cerebral arteries pressurized between 20–100 mmHg were examined in the absence and presence of agents that deplete the sarcoplasmic reticulum (SR) of Ca 2+ or block IP 3 receptors. Diameter and membrane potential (V M ) were assessed using conventional techniques whereas Ca 2+ waves and LC 20 phosphorylation were monitored using confocal microscopy and western blot analysis, respectively. Elevated intravascular pressure increased the proportion of smooth muscle cells firing Ca 2+ waves as well as the frequency of these voltage‐independent events. Agents that deplete the SR of Ca 2+ (ryanodine, CPA and Thapsigargin) or block IP 3 receptors (2‐APB or Xestospongin‐C) eliminated Ca 2+ wave generation. The loss of Ca 2+ waves attenuated LC 20 phosphorylation and attenuated myogenic tone development. It did not, however, alter pressure‐induced depolarization in an intact artery In summary, this study shows that pressure‐induced Ca 2+ waves facilitate cerebral myogenic tone by providing a proportion of the Ca 2+ required to activate myosin light chain kinase. Supported by NSERC.
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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".