Circadian-Regulated Cell Death in Cardiovascular Diseases
Bibliographic record
Abstract
BACKGROUND: Over the past several years, a variety of human and animal studies have shown that circadian clocks regulate biological cardiovascular rhythms in both health and disease. For example, heart rate and blood pressure fluctuate over 24-hour daily periods, such that levels are higher in the morning and progressively decline in the evening. METHODS AND RESULTS: It is interesting to note that the timing of the administration of various cardiac treatments can also benefit some cardiovascular outcomes. Circadian rhythms have been implicated in the pathogenesis of a number of cardiovascular diseases, including myocardial infarction, ischemia-reperfusion injury after myocardial infarction, and heart failure. Cell death is a major component of ischemia-reperfusion injury and posited as the central underlying cause of ventricular remodeling and cardiac dysfunction following myocardial infarction. It is notable that the time of day profoundly influences cardiac tolerance and sensitivity to cardiac injury. CONCLUSIONS: Herein, we highlight the novel relationship between circadian rhythms and homeostatic processes that governs cell fate by apoptosis, necrosis, and autophagy. Understanding how these intricate processes interconnect at the cellular level is of paramount clinical importance for optimizing treatment strategies to achieve maximum cardiovascular outcome.
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 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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".