Circadian rhythm and immunity: decoding chrono-immunology using the model organism <i>Drosophila melanogaster</i>
Bibliographic record
Abstract
Circadian rhythms are important cellular pathways first described for their essential role in helping organisms adjust to the 24 h day–night cycle and synchronize physiological and behavioral functions. Most organisms have evolved a circadian central clock to anticipate daily environmental changes in light, temperature, and mate availability. It is now understood that multiple clocks exist in organisms to regulate the functions of specific organs. Epidemiological studies in humans reported that disruption of the circadian rhythms caused by sleep deprivation is linked to the onset of immune-related conditions, suggesting the importance of circadian regulation of immunity. Mechanistic studies to define how circadian clocks and immune responses interact have profound implications for human health. However, elucidating the clocks and their tissue-specific functions has been challenging in mammals. Many studies using simple model organisms such as Drosophila melanogaster have been pioneering in discovering that the clock controls innate immune responses and immune challenges can impact circadian rhythms and/or their outcomes. In this review, we will report genetic studies using the humble fruit fly that identified the existence of reciprocal interactions between the circadian pathway and innate immune signaling, contributing to elucidate mechanisms in the growing field of chrono-immunology.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".