Ca <sub>V</sub> 3.2 knockout mice display enhanced myogenic tone due to reduced BK <sub>Ca</sub> ‐mediated feedback (1077.3)
Bibliographic record
Abstract
In resistance arteries, there is an emerging view that Ca V 3.2 channel restrains vascular constriction through a feedback response that involves ryanodine receptors (RyR), Ca 2+ spark generation and the modulation of large‐conductance Ca 2+ activated K + channel (BK Ca ). In the present study, we tested this hypothesis by examining the vasomotor, electrophysiological and Ca 2+ responses of mesenteric arterial smooth muscle isolated from wild type (WT) and Ca V 3.2 knockout (KO) mice. Using vessel myography, we first observed enhanced myogenic tone in KO arteries, a finding consistent with the loss of feedback response. Control myography and electrophysiological experiments subsequently confirmed the inability of Ni 2+ (Ca V 3.2 blocker) to either constrict arteries or suppress T‐type currents in KO tissues. Line scan analysis, performed on opened arteries loaded with fluo‐4, illustrated the presence of Ca 2+ sparks in all arteries with the subsequent application of Ni 2+ only affecting WT arteries. Consistent with Ca 2+ imaging, the frequency of BK Ca ‐induced spontaneous transient outward currents (STOC) dropped in WT but not KO cells upon the pharmacological suppression of Ca V 3.2 channel. Overall, our findings support the view that Ca V 3.2 channels drive a local Ca 2+ ‐induced Ca 2+ release‐like process that restrains arterial constriction through the induction of Ca 2+ sparks and the activation of BK Ca channels.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".