Influence of Delphinidin-3-glucoside on Oxidized Low-Density Lipoprotein-Induced Oxidative Stress and Apoptosis in Cultured Endothelial Cells
Bibliographic record
Abstract
Increased oxidative stress and apoptosis were detected in atherosclerotic lesions. Oxidized low-density lipoprotein (oLDL) may induce oxidative stress and apoptosis via multiple pathways in vascular endothelial cells (EC). Delphinidin-3-glucoside (D3G), an anthocyanidin glycan enriched in dark-skin berries, may neutralize those effects of oLDL in EC. The present study demonstrated that oLDL increased the generation of intracellular NADPH-dependent superoxide and impaired redox status in cultured porcine aortic EC (PAEC). The activities of mitochondrial respiratory chain complex I-IV and the contents of NADH dehydrogenase (ND)1, ND6 (complex I enzyme subunits), or cytochrome b (complex III enzyme subunit) were significantly reduced in PAEC treated with oLDL compared to controls. Treatment with oLDL significantly increased the abundances of NADPH oxidase (NOX)2, NOX4, and p22phox in PAEC. oLDL reduced cell viability and the protein content of B-cell lymphoma (Bcl)-2, but increased the content of caspase 3 in PAEC. Co-treatment with D3G prevented oLDL-induced increases in intracellular superoxide or in the protein content of NOX2, NOX4, p22phox, or caspase 3, inhibited the impairment of redox statues or cell viability, and prevented the attenuation of mitochondrial enzyme activities and the reductions of Bcl-2, ND1, or cytochrome b contents in PAEC. The findings suggest that oLDL induced oxidative stress and apoptosis in EC, which was associated with the activation of NOX, the impairment of mitochondrial respiration chain enzymes, and the disorder of key regulators for apoptosis. D3G neutralized the harmful effects of oLDL on oxidative stress, mitochondrial dysfunction, and apoptosis in cultured vascular EC.
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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".