Vascular inflammation in absence of blood pressure elevation in transgenic murine model overexpressing endothelin-1 in endothelial cells
Bibliographic record
Abstract
OBJECTIVE: We previously showed that in transgenic mice with endothelium-targeted overexpression of human preproendothelin-1, mesenteric resistance arteries exhibited vascular remodeling, endothelial dysfunction and increased oxidative stress early in life in the absence of significant elevation of blood pressure. To further characterize this model, the role of vascular inflammation was investigated in young male transgenic and wild-type littermate mice. METHODS AND RESULTS: Systemic and local inflammatory markers in mesenteric arteries were assessed by Luminex-based enzyme-linked immunosorbent assay technique, confocal microscopy, electrophoretic mobility shift assay and western blotting in 10-week old male transgenic and wild-type mice. Although no differences were found for systemic inflammatory markers, vascular staining for monocyte chemoattractant protein-1 and macrophage infiltration were significantly increased (P < 0.05) in transgenic mice compared with wild-type littermates. Transgenic mice exhibited significant increase (P < 0.01) in the activation of transcription factors activator protein-1 and nuclear factor kappa B compared with wild-type littermates. Western blotting analysis showed significantly increased (P < 0.05) blood vessel wall expression of vascular cell adhesion molecule-1 in transgenic mice. CONCLUSION: These findings suggest that in this murine model of endothelial cell-restricted preproendothelin-1 overexpression, endothelin-1 induces vascular inflammation by multiple pathways in young animals in the absence of blood pressure elevation or systemic inflammation.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".