The effects of moderate hypoxia on circadian rhythm: implications in disease and treatment options (710.1)
Bibliographic record
Abstract
Impairments in O2 delivery are a common feature of many chronic diseases (e.g., COPD, diabetes, and anemia). It reduces quality of life and increases morbidity, mortality and hospitalizations in patients. Circadian rhythms in mammals, including humans, are essential to health whereas disruptions exacerbate disease pathogenesis. While severe hypoxia can abolish circadian rhythm, moderate hypoxia is more clinically relevant but its effects on circadian rhythm are unknown. Our objective was to investigate the effects of moderate hypoxia on circadian rhythm. Methods: Mice were implanted with telemetry devices to measure heart rate (HR) and body temperature (Tb). Baseline measurements were obtained and animals subjected to 24 hours of moderate hypoxia (O2 = 15%) followed by 24 hours of normoxic recovery. Results: Moderate hypoxia disrupted, but did not abolish, the circadian rhythm of HR and Tb. Amplitude of circadian rhythm for HR was altered during both sleep and active states whereas Tb amplitude was altered only during sleep. Importantly, these disruptions persisted following 24 hours of normoxic recovery. Conclusions: A single 24 hour exposure of moderate hypoxia is sufficient to alter HR and Tb circadian rhythm, which does not recover within 24 hours of reoxygenation. This suggests that moderate hypoxia may have a critical role in disease pathogenesis. Grant Funding Source : Supported by Canadian Institute of Health Research
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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) | 0.005 | 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".