Chronic circadian disruption alters cardiac function and glucose regulation in mice
Bibliographic record
Abstract
Data files for our manuscript :Gearey, Wang, Antle "Chronic circadian disruption alters cardiac function and glucose regulation in mice" Cardiometabolic disease is a leading cause of death worldwide. One factor that may contribute to the risk, onset, and severity of symptoms is disrupted circadian rhythms. Our study uses two strains of mice to further elucidate this relationship: healthy controls, and a mouse model of insulin resistance with short freerunning periods (~22.75hrs) and enlarged hearts, raised in either a 24-hour or 22.75-hour LD cycle. Through glucose and insulin tolerance tests, routine electrocardiograms from 1-4 months old, and histology, we reveal worse cardiometabolic health outcomes for mice gestated and housed in a mismatched LD cycle compared to those in an LD cycle that matches their endogenous rhythm. This was characterized by heightened blood glucose levels following a glucose or insulin bolus, altered electrophysiological parameters of the cardiac waveform, and increased cardiomyocyte size. Circadian disruption due to work/social schedules or circadian-related disorders in people is often confounded with other unhealthy lifestyles. The present study demonstrates that circadian disruption on its own can lead to adverse health states. The data sets included here look at: 1. Mouse ECG measured at 1, 2, and 4 months of age 2. Blood glucose levels following a challenge with Insulin (0.75IU/kg IP) at 3 months of age 3. Blood glucose levels following a challenge with glucose (2g/kg IP) at 3 months of age 4. body weight 5. Heart anatomy at 6 months of age.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.376 | 0.096 |
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".