Exercise and nutrition in myocardial matrix metabolism, remodeling, regeneration, epigenetics, microcirculation, and muscle
Bibliographic record
Abstract
Remodeling and myocardial matrix metabolism contributes to cardiac endothelium-myocyte (perivascular fibrosis), myocyte-myocyte (interstitial fibrosis), and mitochondrion-myocyte (fusion and fission) coupling. Matrix metalloproteinases (MMPs), and tissue inhibitor of metalloproteinases (TIMPs) play differential roles in different tissues and diseases. For example, although present in the heart, MMP-3 is known as stromelysin (i.e., stromal tissue enzyme). Interestingly, TIMP-3 causes apoptosis. Exercise and nutrition are synergistic in the mitigation of diseases: exercise releases exosomes containing miRNAs. Nutrition/vitamins B6 and B12 regulate the metabolism of homocysteine (an epigenetic byproduct of DNA/RNA/protein methylation). Thus, epigenetic silencing is an important therapeutic target. The statistical analysis of cohorts may be less indicative for the treatment of a disease, particularly if the 2 twins are different in terms of responding to the medicine for the same disease, therefore, personalized medicine is the future of therapy.
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".