Exercise training decreases <i>in vitro</i> stimulated lipolysis in a visceral (mesenteric) but not in the retroperitoneal fat depot of high-fat-fed rats
Bibliographic record
Abstract
The purpose of the present study was to determine the effects of an exercise training programme in high-fat-fed rats on in vitro lipolysis in a visceral (mesenteric) and a non-visceral fat depot (retroperitoneal) and its relationship to perilipin content. Two groups of female rats were fed a high-fat diet (42 % as energy) for 8 weeks, one remaining sedentary (Sed) and the other being exercise trained (Tr) for this entire period. Rats were killed after 2 and 8 weeks of their respective treatment. The significantly (P < 0.01) higher levels in mesenteric and retroperitoneal fat pad weights, plasma leptin, NEFA and glucose observed with time in Sed high-fat-fed rats were significantly (P < 0.05) attenuated in Tr animals. Isoproterenol-stimulated (10- 5-10- 4 m) lipolysis in the mesenteric, but not in the retroperitoneal tissue, was significantly (P < 0.05) lower (about 57 %) in Tr than in Sed rats after 8 weeks of high-fat feeding. The isoproterenol-stimulated lipolysis in the mesenteric tissue of 8-week Tr high-fat-fed rats was lowered to the level measured in 2-week fat-fed rats although mesenteric fat accumulation was still significantly (P < 0.01) higher in 8- than in 2-week Tr rats. Perilipin content (Western blot) was not affected by the exercise training programme. These results indicate that exercise training resulted in a reduction in the high-fat diet-induced elevated levels of lipolysis in the mesenteric tissue. This response appears to be independent of the perilipin content.
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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) | 0.000 | 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 | 0.001 |
| 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".