Calcium‐Sensing Receptors Induce Apoptosis in Rat Cardiomyocytes via the Endo(sarco)plasmic Reticulum Pathway during Hypoxia/Reoxygenation
Bibliographic record
Abstract
The calcium-sensing receptor (CaR) is a G protein-coupled receptor. The CaR stimulation elicits phospholipase C-mediated inositol triphosphate formation, leading to an elevation in the level of intracellular calcium released from endoplasmic reticulum (ER). Depletion of ER Ca(2+) leads to ER stress, which is thought to induce apoptosis. Intracellular calcium overload-induced apoptosis in cardiac myocytes during hypoxia-reoxygenation (H/Re) has been demonstrated. However, the links between CaR, ER stress and apoptosis during H/Re are unclear. This study hypothesized that the CaR could induce apoptosis in neonatal rat cardiomyocytes during H/Re via the ER stress pathway. Neonatal rat cardiomyocytes were subjected to 3 hr of hypoxia, followed by 6 hr of reoxygenation. CaR expression was elevated and the number of apoptotic cells was significantly increased, as shown by transferase-mediated dUTP nick end-labelling, with exposure to CaCl(2), a CaR activator, during H/Re. The intracellular calcium concentration was significantly elevated and the Ca(2+) concentration in the ER was dramatically decreased during H/Re with CaCl(2); both intracellular and ER calcium concentrations were detected by laser confocal microscopy. Expression of GRP78 (glucose-regulated protein 78), the cleavage products of ATF6 (activating transcription factor 6), phospho-PERK [pancreatic ER kinase (PKR)-like ER kinase], the activated fragments of caspase-12, and phospho-JNK (c-Jun NH(2)-terminal kinase) were increased following exposure to CaCl(2) during H/Re. Our results confirmed that the activated CaR can induce cardiomyocyte apoptosis via ER stress-associated apoptotic pathways during H/Re.
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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 | 0.000 |
| 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".