Subcellular remodelling may induce cardiac dysfunction in congestive heart failure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.009 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it