Genetic Manipulation of Caveolin-1 in the Mouse Model of Marfan Syndrome Associated Aortic Root Aneurysm: Effects on Endothelial and Smooth Muscle Function
Bibliographic record
Abstract
ABSTRACT Marfan Syndrome (MFS) is a systemic connective tissue disorder caused by mutations in the gene encoding for the large glycoprotein Fibrillin-1 (Fbn1), leading to wide-spectrum clinical manifestations, with the most life-threatening being aortic root aneurysm. MFS aortic aneurysm is known to be associated with reduced endothelial nitric oxide synthase (eNOS)-mediated nitric oxide (NO) production. Previous studies have shown that caveolin-1 (Cav1), a coat protein of caveolae structure on the plasma membrane, acts as a negative regulator of eNOS activity. This suggests that Cav1 may play a role in the development of aortic root aneurysm in MFS by modulating eNOS activity. In this study, we investigated the role of Cav1 in regulating aortic smooth muscle and endothelial function, aortic wall elasticity, and wall strength by generating MFS mice ( FBN1 +/Cys1041Gly ) lacking Cav1 gene expression (MFS/ Cav1 KO). Our data show that ablation of the Cav1 gene results in a significant decrease in aortic smooth muscle contraction in response to the vasoconstricting agent phenylephrine seemingly due to a marked increase in NO production within the aortic wall. We also showed that acetylcholine-induced vasorelaxation was increased in MFS/ Cav1 KO mice potentially through the endothelial nitric oxide-dependent mechanism, further confirming inhibitory role of Cav1 on endothelial NO production. In addition, aortic wall elastin fiber structure and strength were markedly improved in male MFS/ Cav1 KO mice. This study demonstrates the regulatory role of Cav1 during the development of aortic root aneurysm in MFS mice through its effects on smooth muscle and endothelial functions in an NO-dependent manner.
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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 | 0.000 | 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) | 0.000 | 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".