Abstract 14680: Evaluation of the Protective Effects of Long-term Doxycycline Treatment on Progression of Marfan-associated Aortic Aneurysm by High-resolution Ultrasound Imaging
Bibliographic record
Abstract
Introduction: Aortic aneurysm is the most life-threatening complication in Marfan syndrome (MFS), a connective tissue disorder caused by mutations in fibrillin-1 gene. We have previously reported that doxycycline, an antibiotic and a general inhibitor of matrix metalloproteinases (MMPs), could improve aortic contractility and elastin fibers structure and organization in a mouse model of MFS. However, the in vivo effects of MMPs inhibition on the progression of aneurysm and pulse wave velocity (PWV) have not been investigated. In this study, we assessed the hypothesis that a long-term treatment with a sub-antibiotic dose of doxycycline would delay the progression of aortic aneurysm and improve the PWV in the Marfan mouse. Methods: In this study, we have used a high-resolution, high-contrast ultrasound imaging technique to conduct a longitudinal study in order to measure aortic diameter (dilatation) and PWV (indication of aortic elasticity/stiffness) in the animals. Marfan (n=12) and control (n=13) mice were given a sub-antibiotic dose of doxycycline in their drinking water at a concentration of 0.24 g/L/day beginning at 6 weeks of age, whereas another group of Marfan (n=12) and control (n=12) mice were given plain drinking water for comparison. At 3, and 6 months of age, aortic diameter and PWV of the experimental animals were measured by ultrasound imaging. Results: At 3 months of age, measurement of aortic root diameter showed significant dilatation in both treated and non-treated Marfan mice as compared to control groups (p < 0.01). However, at 6 months of age, the aortic root diameter in treated Marfan mice was not different from those in controls. The same observation was made for the Sinus of Valsalva region. Especially in this region, treated Marfan aorta showed significantly reduced diameter compared to non-treated Marfan groups (p < 0.05). With respect to the measurement of PWV, a significant increase was observed in 3- and 6-month Marfan mice aorta vs. control (p < 0.01). Interestingly, doxycycline treatment normalized the PWV in 6-month old Marfan mice compared to non-treated Marfan aorta. Conclusions: Our findings show that long-term doxycycline treatment has protective effects in terms of reduction of aortic dilatation and stiffness in Marfan mice.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".