Remodeling of the Myocardium and Potential Targets in the Collagen Degradation and Synthesis Pathways
Bibliographic record
Abstract
Remodeling of the myocardium is the major mechanism for disability and death in prevalent cardiovascular diseases such as hypertension, heart failure and myocardial infarction (MI). It is a complex process that involves changes in structure, shape and topography at the global level and changes in myocytes and non-myocytes at cellular and subcellular levels that impact negatively on function. Although the myocytes subserve the heart's pump function, the predominant cell type in the heart is the fibroblast (not the myocyte). The fibroblast's major role is deposition of the extracellular matrix (ECM) of which collagen is the principal component. The cardiac extracellular collagen matrix (ECCM) maintains structural and functional integrity, and contributes to coordinated mechanical action with every systole during life. Excessive collagen deposition or pathological fibrosis is an important contributor to left ventricular (LV) dysfunction and poor outcome in hypertension, MI and heart failure. It is also an important problem in the aging heart. Antifibrotic agents that target steps in the collagen synthesis and degradation pathways therefore represent promising strategies for these diseases. Because reparative fibrosis is an essential component of healing of the infarct zone (IZ) after MI, the design of approaches that separately target the IZ and non-infarct zone (NIZ) is challenging. It may be possible in future to target the collagen pathways in the heart or regions of the heart, and not other areas or organs, by delivering drugs or genes locally to specific regions.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".