Subcellular remodelling may induce cardiac dysfunction in congestive heart failure
Bibliographic record
Abstract
It is commonly held that cardiac remodelling, represented by changes in muscle mass, size, and shape of the heart, explains the progression of congestive heart failure (CHF). However, this concept does not provide any clear information regarding the development of cardiac dysfunction in CHF. Extensive research has revealed that various subcellular organelles such as the extracellular matrix, sarcolemma, sarcoplasmic reticulum, myofibrils, mitochondria, and nucleus undergo varying degrees of changes in their biochemical composition and molecular structure in CHF. This subcellular remodelling occurs due to alterations in cardiac gene expression as well as activation of different proteases and phospholipases in the failing hearts. Several mechanisms including increased ventricular wall stress, prolonged activation of the renin-angiotensin and sympathetic systems, and oxidative stress have been suggested to account for subcellular remodelling in CHF. Furthermore, subcellular remodelling is associated with changes in cardiomyocyte structure, cation homeostasis as well as functional activities of cation channels and transporters, receptor-mediated signal transduction, Ca(2+)-cycling proteins, contractile and regulatory proteins, and energy production during the development of heart failure. The existing evidence supports the view that subcellular remodelling may result in cardiac dysfunction and thus play a critical role in the transition of cardiac hypertrophy to heart failure.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".