Apelin-13 protects the heart against ischemia-reperfusion injury through inhibition of ER-dependent apoptotic pathways in a time-dependent fashion
Bibliographic record
Abstract
Endoplasmic reticulum (ER) stress is activated during and contributes to ischemia-reperfusion (I/R) injury. Attenuation of ER stress-induced apoptosis protects the heart against I/R injury. Using apelin, a ligand used to activate the apelin APJ receptor, which is known to be cardioprotective, this study was designed to investigate 1) the time course of changes in I/R injury after ER stress; 2) whether apelin infusion protects the heart against I/R injury via modulation of ER stress-dependent apoptosis signaling pathways; and 3) how phosphatidylinositol 3-kinase (PI3K)/Akt, endothelial nitric oxide synthase (eNOS), AMP-activated protein kinase (AMPK), and ERK activation are involved in the protection offered by apelin treatment. The results showed that, using an in vivo rat I/R model induced by 30 min of ischemia followed by reperfusion, infarct size (IS) increased from 2 h of reperfusion (34.85 ± 2.14%) to 12 h of reperfusion (48.98 ± 3.35, P < 0.05), which was associated with an abrupt increase in ER stress-dependent apoptosis activation, as evidenced by increased CCAAT/enhancer-binding protein homologous protein (CHOP), caspase-12, and JNK activation (CHOP: 2.49-fold increase, caspase-12: 2.09-fold increase, and JNK: 3.38-fold increase, P < 0.05, respectively). Administration of apelin at 1 μg/kg not only completely abolished the activation of ER stress-induced apoptosis signaling pathways at 2 h of reperfusion but also significantly attenuated time-related changes at 24 h of reperfusion. Using pharmacological inhibition, we also demonstrated that PI3K/Akt, AMPK, and ERK activation were involved in the protection against I/R injury via inhibition of ER stress-dependent apoptosis activation. In contrast, although eNOS activation played a role in decreasing IS at 2 h of reperfusion, it failed to modify either IS or ER stress-induced apoptosis signaling pathways at 24 h after reperfusion.
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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".