Resolvin E1 attenuates inj ury‐induced vascular neointimal formation by inhibition of inflammatory responses and vascular smooth muscle cell migration
Bibliographic record
Abstract
Mechanical insults, such as stent implantation, can induce endothelial injury, vascular inflammation, and ultimately lead to vascular neointimal hyperplasia. Resolvin E1 (RvE1), derived from the ω3 fatty acid eicosapentaenoic acid, can facilitate the resolution of inflammation in many settings. We therefore aimed to determine if there was a role for RvE1 in preventing neointimal formation after arterial injury and to understand the underlying mechanisms. Vascular inflammation and neointimal hyperplasia were induced by wire injury in the femoral arteries of mice. Administration of exogenous RvE1 and endogenously generated RvE1 via dietary supplementation with eicosapentaenoic acid and aspirin markedly reduced vascular neointima formation in this model. Mechanistically, RvE1 was found to inhibit vascular neutrophil infiltration, promote macrophage polarization toward an M2-like phenotype, suppress T-cell trafficking by reducing RANTES secretion from vascular smooth muscle cells, and inhibit vascular smooth muscle cell migration. In summary, RvE1 demonstrated a protective role against vascular inflammation and remodeling in response to mechanical injury, suggesting that it may serve as an adjuvant therapeutic agent for percutaneous coronary interventions, such as stent implantation.-Liu, G., Gong, Y., Zhang, R., Piao, L., Li, X., Liu, Q., Yan, S., Shen, Y., Guo, S., Zhu, M., Yin, H., Funk, C. D., Zhang, J., Yu, Y. Resolvin E1 attenuates injury-induced vascular neointimal formation by inhibition of inflammatory responses and vascular smooth muscle cell migration.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".