Light rhythm and diet differently influence facets of the metabolic syndrome in WOKW rats
Bibliographic record
Abstract
It has previously been shown that high-calorie diet alters the function of the mammalian circadian clock and that obesity has an influence on circadian organization of hormone secretion. That prompted us to test whether inbred Wistar Ottawa Karlsburg W (RT1(u)) (WOKW) rats developing facets of the metabolic syndrome show changes in their metabolic profiles under different feeding conditions (high-fat, high-sugar versus control diet) and under two different 12 h:12 h light-dark (LD) cycles. At the age of four weeks, these rats were divided into four groups. Groups 1 and 2 were kept under initial LD cycle (lights on at 05:00 h). Group 1 was fed with a normal rat diet while group 2 received a high-fat, high-sugar diet from 10 up to the age of 21 weeks. Groups 3 and 4 were kept under a shifted LD cycle (lights on at 11:00 h). Group 3 was given a normal diet while group 4 received a high-fat, high-sugar diet from an age like groups 1 and 2. Several metabolic traits were studied during the observation period of 21 weeks. The blood samples were obtained 2 h before lights off. Body weight gain (P < 0.001), leptin (P < 0.001), triglycerides (P < 0.001) and cholesterol (P < 0.05) were significantly reduced in group 4 versus group 2, but comparable between control groups (1 versus 3). The insulin concentrations were reduced in groups 3 and 4 versus groups 1 and 2 without effect of diet. In conclusion, the results provide evidence that light conditions influence diet induced changes in phenotypic traits like body weight gain, lipids as well as hormone levels (insulin and leptin) in WOKW rats.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".