Abstract 449: Develoment of Endothelin-1 Induced Aneurysms in High-Fat Diet-Fed Apolipoprotein E Knockout Mice Through a Mechanism Involving Oxidative Stress and Inflammatory Cell Infiltration
Bibliographic record
Abstract
Background: Endothelin (ET)-1 has been implicated in the pathogenesis of atherosclerosis. Plasma and tissue ET-1 are increased in human and animal with atherosclerosis. ET-1 overexpression exacerbates high-fat diet (HFD)-induced atherosclerosis in apolipoprotein E knockout ( apoE -/- ) mouse. Abdominal aorta aneurysms (AAA) occur in association with atherosclerosis. We hypothesized that ET-1-induced ROS and inflammation would increase the occurrence of AAA in HFD fed apoE -/- mice. Design and methods: Eight-week-old male transgenic mice overexpressing preproET-1 in the endothelium (eET-1), apoE -/- , eET-1/ apoE -/- and wild type mice were fed a HFD for 8 weeks. Suprarenal aortic perimeter was determined using Oil Red O stained-sections. ROS production using dihydroethidium staining and monocyte/macrophage and T cell infiltration using immunofluorescence with MOMA-2 and anti-CD4 antibodies, respectively, were determined in perivascular fat and media in suprarenal aorta sections. Results: Aneurysms were observed at a suprarenal level in 6 of 15 eET-1/ apoE -/- compared to none of 15 apoE -/- ( P <0.05). The aortic perimeter was increased 2.5-fold in eET-1/ apoE -/- with AAA compared to apoE -/- ( P <0.01). ROS production was increased 2.8- and 3.8-fold in perivascular fat and media of eET-1/ apoE -/- compared to apoE -/- , respectively ( P <0.05). Monocyte/macrophage infiltration was increased 2.6-fold in perivascular fat of eET-1/ apoE -/- compared to apoE -/- ( P <0.01). CD4 + T cell infiltration was observed in perivascular fat and plaque of 6 eET-1/ apoE -/- compared to none of 6 apoE -/- , respectively ( P <0.05). Conclusions: These results suggest that ET-1 plays an important role in development of AAA by increasing oxidative stress and monocyte/macrophage and T cell infiltration in the aorta.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".