Lipoic acid and moderate swimming improves the estrous cycle and oxidative stress in Wistar rats
Bibliographic record
Abstract
The generation of reactive oxygen species resulting from physical activity may trigger adaptive processes at the reproductive level and in the antioxidant defense system itself. The objective of this study was to investigate the effects of moderate daily swimming and lipoic acid (LA) supplementation on estrous cycle duration and pro-oxident and antioxidant markers in young Wistar rats. Animals were submitted to daily swimming (for 1 h) for 30 days, between 1300 h and 1400 h. The following study groups were formed: group 1, sedentary; group 2, submitted to swimming; group 3, sedentary supplemented with 100 mg·kg(-1)·day(-1) of LA; and group 4, submitted to swimming and supplementation with 100 mg·kg(-1)·day(-1) of LA. The estrous cycle of the animals was evaluated daily, and the following oxidative stress markers were measured: plasma thiobarbituric acid reactive substances (TBARS) and glutathione (GSH), erythrocyte superoxide dismutase (SOD), GSH peroxidase (GPx) and catalase (CAT) activity. The exercise protocol increased estrous cycle duration in group 2, especially in the diestrous phase. There was also a decrease in lipoperoxidation, with enhanced antioxidant activity of SOD and GPx. Group 4 showed no alteration in estrous cycle duration and maintained the beneficial effects on the antioxidant system observed in group 2. The increase in estrous cycle duration and improved oxidative stress markers may be an adaptive response to moderate exercise. LA impeded any exercise-induced alteration in the cycle but preserved improvements in the antioxidant system.
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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) | 0.001 | 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".