Calcium/calmodulin‐dependent protein kinase II modulates inositol‐3‐phosphate receptors in vascular endothelium from mouse mesenteric arteries (1075.1)
Bibliographic record
Abstract
Endothelial Ca 2+ pulsar consists in a spontaneous Ca 2+ release from IP 3 R localized within myoendothelial projections (MEP). We recently showed CaMKII activation by Ca 2+ pulsars, thus modulating endothelial function through NO production. Moreover, CaMKII is a known regulator of intracellular Ca 2+ homeostasis in several cell types. Our hypothesis was that Ca 2+ pulsar‐activated CaMKII modulates endothelial intracellular Ca 2+ dynamics. Our investigation showed that preincubation with KN‐93 (10 µM), CaMKII inhibitor, significantly altered endoplasmic reticulum (ER) Ca 2+ content (≍ ‐60%). A similar KN‐93‐induced alteration of ER Ca 2+ levels (≍ ‐55%) was observed while SERCA pumps were inhibited (Thapsigargin; 1 µM). However, inhibition of IP 3 R (2APB; 100 µM) precluded KN‐93 effect on ER Ca 2+ content. Colocalization (<40nm) of CaMKII and IP 3 R was observed by PLA in situ hybridization. In addition, an isoform‐specific distribution within MEP (IP 3 R2>IP 3 R1>IP 3 R3) has been found by in situ immunofluorescence. Finally, KN‐93 induced recruitment of new Ca 2+ pulsars sites (1.8‐Fold). These results suggest that CaMKII modulates intracellular Ca 2+ dynamics through modulation of IP 3 R activity. Thereby, CaMKII is involved in a negative feedback loop as an endothelial calcium‐sensor switch regulating Ca 2+ homeostasis. Grant Funding Source : Supported by FRQS, FICM, CFI, SQHA and HSFC
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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 | 0.001 |
| 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 | 0.001 |
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".