Exploring thoracic aorta ECM alterations in Marfan syndrome: insights into aorta wall structure
Bibliographic record
Abstract
Abstract Marfan syndrome is a connective tissue disorder caused by FBN1 mutations, leading to aortic wall fragility and increased susceptibility to aneurysm and dissection. This study investigated microstructural and molecular alterations in the thoracic aorta of Fbn1mgΔ lpn mice, with a focus on the tunica intima and media. Histological and ultrastructural analyses demonstrated elastic fiber fragmentation and reduced fibrillin-1 expression. In the intima, endothelial cells showed partial detachment and decreased levels of fibrillin-1, perlecan, collagen IV, and α5β1 integrins, suggesting compromised adhesion to the extracellular matrix. Serial block-face scanning electron microscopy revealed discontinuities in the internal elastic lamina. In the media, we observed reduced fibronectin, altered α5β1 integrin distribution, and increased α-smooth muscle actin, indicative of remodeling in elastin–contractile units. Second harmonic generation imaging revealed increased collagen deposition, and thickness in areas of elastic fiber disruption, along with reduced and disorganized type III collagen and increased type I collagen. Echocardiographic evaluation showed aortic root, and ascendant-aorta dilatation, altered blood flow, and diastolic dysfunction. Elastic fiber integrity correlated strongly with fibrillin-1 expression ( r = 0.93, p = 0.0003) and aortic blood flow ( r = 0.77, p = 0.0064). These results suggest that early alterations in matrix organization and endothelial–matrix interactions may contribute to aortic wall weakening in Fbn1mgΔ lpn mice.
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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 | 0.001 |
| 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".