STIM‐1 and ORAI‐1 channel mediate angiotensin‐II‐induced expression of Egr‐1 in vascular smooth muscle cells
Bibliographic record
Abstract
An upregulation of Egr‐1 expression has been reported in models of atherosclerosis and intimal hyperplasia and, various vasoactive peptides and growth promoting stimuli have been shown to induce the expression of Egr‐1 in vascular smooth muscle cells (VSMC). Angiotensin‐II (Ang‐II) is a key vasoactive peptide that has been implicated in the pathogenesis of vascular diseases. Ang‐II elevates intracellular Ca2+through activation of the store‐operated calcium entry (SOCE) involving an inositol‐3‐phosphate receptor (IP3R)‐coupled depletion of endoplasmic reticular Ca2+and a subsequent activation of the stromal interaction molecule 1 (STIM‐1)/Orai‐1 complex. However, the involvement of IP3R/STIM‐1/Orai‐1‐Ca2+‐dependent signaling in Egr‐1 expression in VSMC remains unexplored. Therefore, in the present studies, we have examined the role of Ca2+signaling in Ang‐II‐induced Egr‐1 expression in VSMC and investigated the contribution of STIM‐1 or Orai‐1 in mediating this response. 2‐aminoethoxydiphenyl borate (2‐APB), a dual non‐competitive antagonist of IP3R and inhibitor of SOCE, decreased Ang‐II‐induced Ca2+release and attenuated Ang‐II‐induced enhanced expression of Egr‐1 protein and mRNA levels. Egr‐1 upregulation was also suppressed following blockade of calmodulin and CaMKII. Furthermore, RNA interference‐mediated depletion of STIM‐1 or Orai‐1 attenuated Ang‐II‐induced Egr‐1 expression as well as Ang‐II‐induced phosphorylation of ERK1/2 and CREB. In addition, siRNA‐induced silencing of CREB resulted in a reduction in the expression of Egr‐1 stimulated by Ang‐II. In summary, our data demonstrate that Ang‐II‐induced Egr‐1 expression is mediated by STIM‐1/Orai‐1/Ca2+‐dependent signaling pathways in A‐10 VSMC.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".