A Review on the Role of DNA Methylation in Aortic Disease Associated With Marfan Syndrome
Bibliographic record
Abstract
Marfan syndrome (MFS) is a genetic disorder primarily affecting the connective tissue, with cardiovascular complications as the leading cause of mortality. While mutations in the FBN1 gene are the primary cause, the severity and progression of the disease can vary significantly among individuals. DNA methylation, a key epigenetic regulatory mechanism, has garnered attention in MFS research, particularly regarding methylation changes in the FBN1 locus and their effects on fibrillin-1 expression. Differential methylation and expression of genes related to inflammation (e.g., interleukin (IL)-10, IL-17) and oxidative stress (e.g., PON2, TP53INP1) have been linked to MFS aortic pathology. These alterations likely contribute to disease progression by influencing inflammatory responses, smooth muscle cell apoptosis, and biomechanical properties of the aorta. The transforming growth factor-beta (TGF-β) signaling pathway plays a central role in MFS pathology, with aberrant methylation of related genes potentially elevating active TGF-β levels and exacerbating aortic lesions. Notably, tissue-specific methylation patterns, especially in smooth muscle cells of the aorta, remain poorly understood. A deeper understanding of DNA methylation's role in MFS could pave the way for early interventions and epigenetic-targeted therapies.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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".