Inhibition of Matrix Metalloproteinases (MMPs) as a Potential Strategy to Ameliorate Hypertension-Induced Cardiovascular Alterations
Why this work is in the frame
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Bibliographic record
Abstract
A group of proteases, the matrix metalloproteinases (MMPs) are well known for their capacity to degrade extracellular matrix (ECM) proteins. Particularly MMP-2 and MMP-9 contribute to the degradation and reorganization of the ECM components and are involved in the pathophysiology of cardiovascular remodeling. Imbalanced MMP activity promotes vascular smooth muscle cells and migration and proliferation and endothelial dysfunction, thus resulting in increased cardiovascular stiffness and hypertrophy. Furthermore, MMP-2 cleaves non-ECM protein substrates including cellular receptors and intracellular proteins, thus causing cardiac and vascular dysfunction. It is now becoming clear that increased MMP activity promotes long-lasting cardiovascular structural and functional alterations in both experimental and clinical hypertension, and this alteration may contribute to sustained hypertension and its complications. Other pathogenic mechanisms including activation of the renin-angiotensin-aldosterone system and oxidative stress activate and upregulate MMPs. Therefore, MMP inhibition may prevent the deleterious consequences of hypertension to the cardiovascular system. This review article will focus on growing evidence supporting the relevance of MMPs in hypertension and the effects of MMP inhibitors. Particularly, the effects of doxycycline used as a non selective MMP inhibitor in experimental and clinical studies will be discussed.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it