Insights into the Activity, Differential Expression, Mutual Regulation, and Functions of Matrix Metalloproteinases and A Disintegrin and Metalloproteinases in Hypertension and Cardiac Disease
Bibliographic record
Abstract
Hypertensive cardiac disease is a major cause of death worldwide. Causative factors of hypertension include environmental stressors, genetic predisposition, and common morbidities of lipid metabolism such as obesity and diabetes. These factors pathologically elevate the systemic production of vasoconstrictive G-protein-coupled receptor agonists. Pathological concentrations of these agonists upregulate the gene expression and proteolytic activity of matrix metalloproteinases (MMPs) and A disintegrin and metalloproteinases (ADAMs). Among the metalloproteinases that act in concert with other mediators to elevate the systemic blood pressure and to modulate the development of cardiovascular hypertrophy and fibrosis processes are MMP-2, MMP-7, ADAM-12, and ADAM-17. This review offers insights into the activity, differential expression, mutual regulation, and functions of these metalloproteinases. We further review evidence linking them to transcription factors, carrier proteins, and receptors for lipids. The emerging links between metalloproteinases and lipids are intriguing and suggest new therapeutic targets in hypertensive cardiac disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".