Role of Ca <sub>V</sub> 3.1 Channels in Myogenic Tone and Blood Pressure Regulation in Mouse Mesenteric Arteries
Bibliographic record
Abstract
The myogenic response is a fundamental mechanism whereby intraluminal pressure elicits arterial constriction pursuant to maintenance of tissue perfusion. Smooth muscle [Ca 2+ ] is a key determinant of constriction, a process intimately tied to L‐type (Ca V 1.2) Ca 2+ channel activity. While important, other Ca 2+ channels are expressed and could contribute to pressure regulation within defined voltage ranges. In this regard, this study examined the role of T‐type Ca 2+ channels, using mesenteric arterioles from wild type (WT) and Ca V 3.1 ‐/‐ mice. Using pressure myography, experiments first revealed that Ca V 3.1 ‐/‐ arterioles displayed decidedly less myogenic tone than WT, particular at lower pressures (20 – 60 mmHg) where membrane potential is hyperpolarized. We next showed with rapid Ca 2+ imaging that reduced myogenic tone in Ca V 3.1 ‐/‐ arteries resulted from diminished Ca 2+ waves generation, asynchronous events dependent upon Ca 2+ release from the sarcoplasmic reticulum. In contrast, blockade of L‐type Ca 2+ channels with nifedipine (200 nM) had no effect on Ca 2+ waves, akin to previous findings. The proximity ligation assay confirmed a close association (<40 nm) between IP 3 R and Ca V 3.1, in WT and not knockout arterioles. In whole animals, this diminishment of myogenic tone coincided with a reduction in systemic blood pressure at rest. Intriguingly, this hypotension response did not impact blood pressure response to chronic AngII infusion. Taken together, this data suggests that Ca V 3.1 channels are contributors to tone development at low intraluminal pressures and that this effect is indirect through a Ca 2+ ‐induced Ca 2+ release mechanism involving the sarcoplasmic reticulum. Further experiments are being extended to define the role of Ca V 3.1 in other pathophysiological models.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".