Metabolic effects of physical training in ovariectomized and hyperestrogenic rats
Bibliographic record
Abstract
This study was undertaken to evaluate the effects of regular endurance-type exercise on glucose tolerance and glucose-stimulated insulin response (GSIR) in ovariectomized (OVX) rats with and without estrogen replacement. To do that, OVX Sprague-Dawley rats were compared with an OVX estradiol-treated group (OVXE2) and a sham-operated (Sham) group. Each of these groups was subdivided into a sedentary and a treadmill-trained (8 wk) group. Intravenous glucose tolerance tests (0.5 g/kg) were conducted in all rats 48 h after the last training session. Plasma levels of 17beta-estradiol and the uterus weight were significantly (P < 0.05) lower in OVX compared with results in Sham and significantly (P < 0.01) higher in OVXE2 (hyperestrogenic) compared with results in Sham. Body weights were significantly (P < 0.01) different among groups, in the following decreasing order: OVX, Sham, and OVXE2. The average daily food intake was significantly (P < 0.01) increased in OVX rats compared with Sham, whereas estradiol treatment diminished this effect (P < 0.01). Exercise training was found to alter none of the above-mentioned variables in all three experimental conditions. Although the mean integrated area under the glucose and insulin curves was not affected by OVX, training induced a significant (P < 0.01) reduction in the mean integrated area under the insulin curve in all three experimental conditions. It is concluded that the positive effects of physical training on improving GSIR in OVX and hyperestrogenic animals are similar to what has been found in Sham.
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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) | 0.001 | 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".