Abstract P049: Circadian Clock Dysfunction Impairs Mitochondrial Fitness And Contributes To Myocardial Ischemic Injury
Bibliographic record
Abstract
Cardiac function is highly reliant on mitochondrial oxidative metabolism and fitness. The circadian clock is critically linked to vital physiological process including mitochondrial fission, fusion and quality control mechanisms. However, little is known of how the circadian clock regulates these vital processes in the heart. Herein, we identified a putative circadian Clock - mitochondrial interactome that gates an adaptive stress response for cell viability during myocardial ischemia reperfusion (I-R) injury. We show that Clock transcriptionally coordinates expression of mitochondrial dynamic fusion and fission, bioenergetic and quality control proteins in cardiac myocytes. Transcriptome and gene ontology mapping revealed Clock defective hearts subjected to I-R exhibited major transcriptional deficits in several key survival processes including mitochondrial dynamics, bioenergetics and autophagy that were reduced further following I-R. Gain of function of Clock activity re-established gene transcription of mitochondrial respiratory complex activity, quality control mechanisms and cell viability. Collectively, our data show that mitochondrial fitness and cell survival is mutually dependent upon and obligatorily linked to transcription of the circadian Clock gene in cardiac myocytes. Our data suggest the functional loss of Clock activity predisposes cardiac myocytes to metabolic catastrophe. Hence, therapeutic strategies designed to preserve circadian clock activity in the hearts may prove beneficial in reducing morbidity and mortality following ischemia -related pathologies such as myocardial infarction.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".