Changes in the extracellular matrix during myocardial remodelling
Bibliographic record
Abstract
The present article focuses on the pathophysiology of myocardial extracellular matrix (ECM) remodelling in chronic heart failure (CHF).The trigger mechanisms for ECM remodelling include acute loss of contractile elements as a consequence of myocardial ischaemia, mechanical tension, oxidative stress and neurohumoral activation.The ECM phenotype changes as a result of the expression of fetal remodelling genes with the aim of accomplishing reparatory changes.This leads to a change in the composition of the ECM, rearrangement of the existing structures and an alteration of the proportion of individual components.While the ECM represents the target structure, at the same time, individual ECM components participate to various degrees directly in myocardial remodelling as modulators of a number of signalling pathways.Matricellular proteins are expressed in reaction to pathological stimuli.These have no structural function but modulate interactions between ECM components, nonmyocyte cells and cardiomyocytes.The principal consequence of ECM remodelling is an increase in the fibrous tissue content of the heart.Pharmacological intervention affecting the process of ECM remodelling could improve the prognosis of patients with CHF.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".