Attenuation of Aortic Remodeling with Low Doses of Neprilysin/Angiotensin II Receptor Blockers Sacubitril/Valsartan in a Fibrillin‐1‐Deficient Model of Marfan Syndrome
Bibliographic record
Abstract
Introduction Sacubitril is a neprilysin inhibitor indicated for heart failure patients with reduced ejection fraction (HFReF), which causes protective natriuretic peptide accumulation. To maximize efficacy and minimize side effects, sacubitril is administered in combination with valsartan, a blood pressure‐lowering angiotensin II receptor blocker (ARB). We and others have shown that ARBs are capable of blood pressure lowering‐independent effects on vascular and lung remodeling, but whether the sacubitril/ARB combination shows greater anti‐vascular and lung remodeling effects is unknown. Objective Since ARBs are routinely prescribed to patients with Marfan syndrome, which is a fibrillin‐1 mutation‐induced connective tissue disease that causes aortic widening, dissection and lung emphysema, we sought to test the anti‐remodeling effects of low‐doses sacubitril/valsartan combination on the vascular and pulmonary complications associated with Marfan syndrome in mice. Results Treatment with low dose valsartan and sacubitril/valsartan (pure forms in drinking water) did not significantly lower blood pressure when compared with vehicle group in the C1039G fibrillin‐1 model of Marfan syndrome. There was a non‐significant inhibitory trend of Marfan‐associated aortic root widening with valsartan and especially sacubitril/valsartan, whereas only the latter induced a significant and near‐complete (74%) inhibition of Marfan‐associated ascending aorta widening (P<0.008). None of the treatment groups significantly reduced emphysema, loss of lung volume, change in hysteresis, tissue damping and resistance associated with Marfan syndrome. Conclusion Sacubitril/valsartan combination may be more clinically relevant than valsartan alone in settings of aortic dilation, even at low doses. Support or Funding Information Supported by Novartis Canada
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".