Abstract 20933: Regulation of Hypoxia Induced Cardiac Cell Death by the Intrinsic Circadian Clock
Bibliographic record
Abstract
Circadian rhythms play a fundamental role in cell metabolism and tissue homeostasis and are influenced by the diurnal oscillation of cellular circadian clock genes. Zeitgebers influence the activation of the circadian rhythm by serving as molecular switches for the intrinsic cellular clock. Herein, we provide new evidence that hypoxia is a Zietgeber for the circadian rhythm and regulator of clock gene expression in cardiac myocytes. We further show that clock gene regulation promotes survival of cardiac myocytes by a mechanism that bi-directionally influences the inducible death protein Bnip3. Cardiac myocytes exhibited phasic oscillations in clock gene expression under basal conditions. Interestingly, in contrast to control cells, a marked time dependent decline in clock gene transcription was observed in cardiac myocytes subjected to hypoxia with maximal decline occurring at 18hrs. This coincided with a reciprocal increase in the expression of the mitochondrial autophagy protein Bnip3 and cell death. Given that Bnip3 is transcriptionally repressed under basal conditions, we reasoned that clock may promote cell survival by negatively regulating Bnip3 gene transcription. While Bnip3 transcription was markedly increased in cardiac myocytes subjected to hypoxia, gain of function of clock suppressed Bnip3 gene activation and cell death of cardiac myocytes. Hence, the findings of the present study provide the first direct evidence that hypoxia is a circadian Zeitgeber for circadian rhythm in cardiac myocytes. We further show that circadian protein Clock regulates cell survival during hypoxic injury by a mechanism that involves the transcriptional repression of Bnip3.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".