Melatonin inhibits vascular endothelial cell pyroptosis by improving mitochondrial function via up-regulation and demethylation of UQCRC1
Bibliographic record
Abstract
Atherosclerosis (AS) is a chronic inflammatory disease that involves cell death and endothelial dysfunction. Melatonin is an endocrine hormone with anti-inflammatory and anti-AS effects. However, the underlying molecular mechanisms for the anti-AS effects of melatonin are unknown. A previous study has shown that pyroptosis plays a detrimental role in the development of AS, therefore, this study was designed to investigate the anti-pyroptotic effects and potential mechanisms of melatonin in atherosclerotic endothelium. Our results show that melatonin attenuated the expression of genes related to pyroptosis, including NLRP3, caspase-1, and IL-1β, in human umbilical vein endothelial cells treated with oxidized low-density lipoprotein. Furthermore, melatonin up-regulated the expression of ten-eleven translocation 2 (TET2), inhibited the methylation of ubiquinol-cytochrome c reductase core protein 1 (UQCRC1), and reduced pyroptosis. The up-regulation of UQCRC1 by melatonin improved mitochondrial function, thereby inhibiting oxidative stress and endothelial cell pyroptosis. Collectively, our results indicate that melatonin prevents endothelial cell pyroptosis by up-regulating TET2 to inhibit the methylation of UQCRC1 and improving mitochondrial function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".