Abstract 463: Circadian <i>Clock</i> Disruption Promotes Cardiac Cell Death During Hypoxic Injury
Bibliographic record
Abstract
Circadian rhythms play a fundamental role in cell metabolism and tissue homeostasis as well as in the diurnal oscillation of physiological processes such as blood pressure. Zeitgebers influence the circadian rhythms by serving as molecular switches for re-setting the intrinsic cellular clock. Herein, we show that oxygen is a Zeitgeber 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 mitochondrial clearance and autophagy. Cardiac myocytes exhibited phasic oscillations in clock gene expression under basal conditions which was disrupted during hypoxia. This was accompanied by a marked time dependent decline in clock gene transcription that was maximal at ZT+18 and coincided with a reciprocal increase in mitochondrial clearance. Loss of function mutations of clock that disrupted nuclear localization or DNA binding to BMAL-1 promoted wide-spread cell death. Hence, the findings of the present study provide a novel signaling axis that operationally links hypoxia regulated clock gene expression and mitochondrial turn-over to cell survival.
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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) | 0.003 | 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".