SET8, a novel regulator to ameliorate vascular calcification via activating PI3K/Akt mediated anti-apoptotic effects
Bibliographic record
Abstract
Previous studies have shown that the apoptosis of vascular smooth muscle cells (VSMCs) underlies the mechanism of pathological calcification in patients with chronic kidney disease (CKD). SET domain-containing protein 8 (SET8) is an efficient protein that modulates apoptosis in hepatocellular carcinoma cells, esophageal squamous cells, and neuronal cells by regulating pathological processes, such as cell cycle progression and transcription regulation. However, whether SET8 is involved in high phosphorus-induced vascular calcification by mediating apoptosis remains unclear. Here, we report that SET8 is located both in the nucleus and cytoplasm and is significantly downregulated in calcification models. SET8 deficiency promoted apoptosis of VSMCs, as indicated by the increased Bax/Bcl-2 and cleaved caspase-3/total caspase-3 ratios. Mechanistically, the PI3K/Akt pathway was mediated by SET8, and inhibition of the PI3K/Akt signaling pathway by administering LY294002 or transfecting the Akt phosphorylation-inactivated mutation plasmid increased apoptosis and calcification. Akt phosphorylation constitutively activated mutations can reduce the apoptosis and calcification of VSMCs. Furthermore, exogenous overexpression of SET8 reversed the effect of PI3K/Akt inhibition on VSMC apoptosis and calcification. In summary, our research suggests that SET8 overexpression ameliorates high phosphorus-induced calcification of VSMCs by activating PI3K/Akt mediated anti-apoptotic effects.
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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) | 0.002 | 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".