Direct Endothelial Nitric Oxide Synthase Activation Provides Atheroprotection in Diabetes-Accelerated Atherosclerosis
Bibliographic record
Abstract
Patients with diabetes have an increased risk of developing atherosclerosis. Endothelial dysfunction, characterized by the lowered bioavailability of endothelial NO synthase (eNOS)-derived NO, is a critical inducer of atherosclerosis. However, the protective aspect of eNOS in diabetes-associated atherosclerosis remains controversial, a likely consequence of its capacity to release both protective NO or deleterious oxygen radicals in normal and disease settings, respectively. Harnessing the atheroprotective activity of eNOS in diabetic settings remains elusive, in part due to the lack of endogenous eNOS-specific NO release activators. We have recently shown in vitro that eNOS-derived NO release can be increased by blocking its binding to Caveolin-1, the main coat protein of caveolae, using a highly specific peptide, CavNOxin. However, whether targeting eNOS using this peptide can attenuate diabetes-associated atherosclerosis is unknown. In this study, we show that CavNOxin can attenuate atherosclerotic burden by ∼84% in vivo. In contrast, mice lacking eNOS show resistance to CavNOxin treatment, indicating eNOS specificity. Mechanistically, CavNOxin lowered oxidative stress markers, inhibited the expression of proatherogenic mediators, and blocked leukocyte-endothelial interactions. These data are the first to show that endogenous eNOS activation can provide atheroprotection in diabetes and suggest that CavNOxin is a viable strategy for the development of antiatherosclerotic compounds.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".