Does exercise training prior to ovariectomy protect against liver and adipocyte fat accumulation in rats?
Bibliographic record
Abstract
OBJECTIVE: To determine whether a training state protects against the metabolically deleterious effects of ovariectomy on liver and adipocyte fat accumulation in rats. DESIGN: Female rats were randomly assigned to each group (n = 8 rats/group). The animals were first either exercise-trained (Tr) for 6 weeks or kept sedentary (Sed) before being sham-operated (Sham), ovariectomized (Ovx), or ovariectomized with 17beta-estradiol supplementation (OvxE2). Following surgery, sedentary rats either remained sedentary (Sed-Sed) or undertook exercise training for 6 weeks (Sed-Tr) while exercise-trained rats either became sedentary (Tr-Sed) or resumed exercise training (Tr-Tr). RESULTS: Body weight and energy intake along with intra-abdominal and subcutaneous fat pad weights and homeostasis model assessment of insulin resistance (HOMA-IR) were significantly (p < 0.01) increased in the Ovx group compared to the Sham and OvxE2 groups. Rats kept in a sedentary state after surgery showed the higher (p < 0.05) values for all of these variables whether they were trained or not before surgery (Sed-Sed and Tr-Sed), indicating no protective effect of a previous exercise-trained state. On the other hand, training conducted after surgery resulted in a lowering of fat mass and HOMA-IR whether rats had been trained or not before surgery (Sed-Tr and Tr-Tr), indicating the effectiveness of exercise training even initiated after surgery. These responses were independent of surgery. Interestingly, liver triacylglycerol concentrations followed a pattern of responses identical to fat mass with the exception that all of the responses were observed only in the Ovx group (p < 0.05). CONCLUSION: There is no protective effect of a previous exercise-training state on ovariectomy-induced liver and adipocyte fat accumulation if rats remain sedentary after ovariectomy. However, training conducted concurrently with estrogen withdrawal has protective effects, especially on liver fat accumulation, whether or not rats were previously trained.
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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 | 0.000 | 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".