A-kinase anchoring protein 5 anchors protein kinase A to mediate PLN/SERCA to reduce cardiomyocyte apoptosis induced by hypoxia and reoxygenation
Bibliographic record
Abstract
The A-kinase anchoring protein 5 (AKAP5) has a variety of biological activities. This study explored whether AKAP5 was involved in cardiomyocyte apoptosis induced by hypoxia and reoxygenation (H/R) and its possible mechanism. H9C2 cells were used to construct an H/R model in vitro, followed by AKAP5 overexpression. Flow cytometry was performed to determine the rate of cardiomyocyte apoptosis. Phosphorylation of phospholamban (PLN), sarcoplasmic/endoplasmic reticulum calcium ATPase 2a (SERCA2a), and apoptosis-related proteins was determined by western blotting. Immunofluorescence staining and immunoprecipitation were performed to detect the distribution and interaction between AKAP5, protein kinase A (PKA), and PLN. After H/R induction, H9C2 cells exhibited significantly reduced AKAP5 protein expression. Upregulation of AKAP5 promotes cell survival and significantly reduces lactate dehydrogenase (LDH) levels and apoptosis rates in H9C2 cells. In addition, the overexpression of AKAP5 was accompanied by the activation of the PLN/SERCA2a signaling pathway and a reduction in apoptosis. Immunofluorescence staining and immunoprecipitation revealed that AKAP5 co-localized and interacted with PLN and PKA. Interestingly, St-Ht31, an inhibitory peptide that disrupts AKAP interactions with regulatory subunits, inhibits the effect of AKAP5 overexpression on H/R-induced apoptosis in H9C2 cardiomyocytes. AKAP5 overexpression alleviated H/R-induced cardiomyocyte apoptosis possibly by anchoring PKA to mediate the PLN/SERCA pathway, suggesting that AKAP5 is a potential therapeutic target for the prevention and treatment of ischemia-reperfusion injury.
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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) | 0.001 | 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".