Extracellular Matrix Communication and Turnover in Cardiac Physiology and Pathology
Bibliographic record
Abstract
Despite significant advances in treating heart disease, heart failure remains a major cause of morbidity and mortality. Regardless of the initiating cause(s), heart failure is associated with disruptions in the myocardial extracellular matrix (ECM). ECM is a dynamic structure and its physiological turnover is mediated by matrix metalloproteinases (MMPs) and their inhibitors (TIMPs). Research in the past two decades has revealed that the function of ECM extends beyond its role in providing structural support. Similarly, ECM regulatory proteins, MMPs and TIMPs, have been demonstrated to play diverse and ECM-independent roles in tissue remodeling and homeostasis. ECM is a network structure that in addition to providing structural support, serves as an extracellular reservoir for a number of growth factors and cytokines, and plays a central role in interstitial transport of different molecules (hormones, growth factors, drugs, etc.). This is mainly through the action of nonstructural ECM components, proteoglycans and matricellular proteins, which are also critical in cell-ECM interactions and overall ECM remodeling. As such, sustaining the ECM integrity is not only critical in preserving cardiac geometry and function, it is essential in ensuring optimal delivery of different molecules to their site of action. Further, ECM composition and integrity in disease should be considered in designing drugs with a specific site of action. In this review article, we provide an overview of the ECM structure, components, its function in interstitial transport, heart disease-dependent ECM remodeling, and the potential therapeutic approaches in preserving the diseased myocardial ECM and cardiac function.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".