Ca <sub>V</sub> 3.2 Channels and the Induction of Negative Feedback in Cerebral Arteries
Bibliographic record
Abstract
RATIONALE: T-type (CaV3.1/CaV3.2) Ca(2+) channels are expressed in rat cerebral arterial smooth muscle. Although present, their functional significance remains uncertain with findings pointing to a variety of roles. OBJECTIVE: This study tested whether CaV3.2 channels mediate a negative feedback response by triggering Ca(2+) sparks, discrete events that initiate arterial hyperpolarization by activating large-conductance Ca(2+)-activated K(+) channels. METHODS AND RESULTS: Micromolar Ni(2+), an agent that selectively blocks CaV3.2 but not CaV1.2/CaV3.1, was first shown to depolarize/constrict pressurized rat cerebral arteries; no effect was observed in CaV3.2(-/-) arteries. Structural analysis using 3-dimensional tomography, immunolabeling, and a proximity ligation assay next revealed the existence of microdomains in cerebral arterial smooth muscle which comprised sarcoplasmic reticulum and caveolae. Within these discrete structures, CaV3.2 and ryanodine receptor resided in close apposition to one another. Computational modeling revealed that Ca(2+) influx through CaV3.2 could repetitively activate ryanodine receptor, inducing discrete Ca(2+)-induced Ca(2+) release events in a voltage-dependent manner. In keeping with theoretical observations, rapid Ca(2+) imaging and perforated patch clamp electrophysiology demonstrated that Ni(2+) suppressed Ca(2+) sparks and consequently spontaneous transient outward K(+) currents, large-conductance Ca(2+)-activated K(+) channel mediated events. Additional functional work on pressurized arteries noted that paxilline, a large-conductance Ca(2+)-activated K(+) channel inhibitor, elicited arterial constriction equivalent, and not additive, to Ni(2+). Key experiments on human cerebral arteries indicate that CaV3.2 is present and drives a comparable response to moderate constriction. CONCLUSIONS: These findings indicate for the first time that CaV3.2 channels localize to discrete microdomains and drive ryanodine receptor-mediated Ca(2+) sparks, enabling large-conductance Ca(2+)-activated K(+) channel activation, hyperpolarization, and attenuation of cerebral arterial constriction.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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) | 0.000 | 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 teacher head, 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".