Calcium‐sensing receptors induce apoptosis in cultured neonatal rat ventricular cardiomyocytes during simulated ischemia/reperfusion
Bibliographic record
Abstract
Calcium-sensing receptors (CaSRs) are G-protein coupled receptors which regulate systemic calcium homeostasis and also participate in cell proliferation, differentiation and apoptosis. We have previously shown that CaSR can induce apoptosis in isolated rat adult hearts and in normal rat neonatal cardiomyocytes. However, no knowledge exists concerning the role of CaSR in apoptosis induced by ischemia and reperfusion in neonatal cardiac myocytes. Therefore, in the present study, we incubated primary neonatal rat ventricular cardiomyocytes in ischemia-mimetic solution for 2h, then re-incubated them in a normal culture medium for 24h to establish a model of simulated ischemia/reperfusion (I/R). We assayed the apoptotic ratio of the cardiomyocytes by flow cytometry; observed morphological alterations by transmission electron microscope; analyzed the expression of caspase-3, Bcl-2, CaSR, extracellular signal-regulated protein kinase (ERK), and Fas/Fas ligand (FasL) by Western blotting; and measured the concentration of intracellular calcium by Laser Confocal Scanning Microscopy. The results showed that simulated I/R increased the expression of CaSR and cardiomyocyte apoptosis. GdCl3, a specific activator of CaSR, further enhanced CaSR expression, along with increases in intracellular calcium and apoptosis in cardiomyocytes during I/R. Activation of CaSR down-regulated Bcl-2 expression, up-regulated caspase-3 and Fas/FasL expression and stimulated ERK1/2 phosphorylation. In summary, CaSR is involved in I/R injury and apoptosis of neonatal rat ventricular cardiomyocytes by inhibiting Bcl-2, inducing calcium overload and activating the Fas/FasL death receptor pathway.
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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) | 0.001 | 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) | 0.001 | 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".