Store-operated calcium channels: Potential target for the therapy of hypertension
Bibliographic record
Abstract
Effective therapy of hypertension represents a key strategy for reducing the burden of cardiovascular disease and its associated mortality. The significance of voltage dependent L-type Ca²⁺ channels to Ca²⁺ influx, and of their regulatory mechanisms in the development of heart disease, is well established. A wide variety of L-type Ca²⁺ channel inhibitors and Ca²⁺ antagonists have been found to be beneficial not only in the treatment of hypertension, but also in myocardial infarction and heart failure. Over the past two decades, another class of Ca²⁺ channel - the voltage independent store-operated Ca²⁺ channel - has been implicated in the regulation and fine tuning of Ca²⁺ entry in both cardiac and smooth muscle cells. Store-operated Ca²⁺ channels are activated by the depletion of Ca²⁺ stores within the endoplasmic/sarcoplasmic reticulum, or by low levels of cytosolic Ca²⁺, thereby facilitating agonist-induced Ca²⁺ influx. Store-operated Ca²⁺ entry through this pivotal pathway involves both stromal interaction molecule (STIM) and Orai channels. Different degrees of changes in these proteins are considered to promote Ca²⁺ entry and hence contribute to the pathogenesis of cardiovascular dysfunction. Several blockers of store-operated Ca²⁺ channels acting at the level of both STIM and Orai channels have been shown to depress Ca²⁺ influx and lower blood pressure. However, their specificity, safety, and clinical significance remain to be established. Thus, there is an ongoing challenge in the development of selective inhibitors of store-operated Ca²⁺ channels that act in vascular smooth muscles for the improved treatment of hypertension.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".