Circadian rhythms revealed: unraveling the genetic, physiological, and behavioral tapestry of the human biological clock and rhythms
Bibliographic record
Abstract
This narrative review explores the intricate relationship between biological rhythms and the natural cycles of light and darkness, known as circadian rhythms. This review begins with an examination of empirical evidence dating back to 1729, which indicates that a particular plant displayed rhythmic behavior even in complete darkness. It then considers the evolution and significance of internal biological clocks in humans. The pivotal role of circadian rhythms in regulating physiological processes (e.g., sleep-wake cycles, body temperature, and hormone levels) emphasizing their influence on overall health and wellbeing is discussed. This review also highlights the critical importance of maintaining circadian timing alignment with the environment, as desynchronization can lead to a range of adverse outcomes, including cardiovascular, metabolic, and psychological disorders. By integrating the genetic, physiological, and behavioral mechanisms underlying and associated with biological clocks and rhythms in humans, this review aims to provide clinicians and researchers with a comprehensive perspective on the holistic nature of biological rhythms and their implications for health. Furthermore, the concepts associated with Chrono-intervention, such as chrononutrition and chronomedicine, are introduced as promising approaches to optimizing health outcomes by aligning interventions with the body's natural rhythms are introduced. Through this consideration, this review seeks to contribute to a deeper understanding of chronobiology and its potential applications in improving human health and performance.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".