Strength training protects against prostate injury in alcoholic rats
Bibliographic record
Abstract
Alcoholic injury can alter the hormonal signaling pathway and lead to glucose and lipid metabolism disorders. In this study, we investigated whether the strength training could exert protective effects against the alterations caused by ethanol consumption on prostatic metabolism. A UChB, ethanol-preferring rats were used in this study. Strength training was conducted for 3 days per week for 13 weeks, rats performed jumps in water carrying a weight load strapped to their chests as part of a strength training protocol. The reduced alcohol consumption by strength training was accompanied by increased glucose, serum lipid profile, total protein levels, and reduced hormonal levels. The results of protein expression of prostatic tissues in the ethanol- and strength training-treated groups indicated that "steroidal hormone receptors," "fatty acid translocation," and "cell regulation" were significantly different between ethanol- and strength training-treated groups. Taken together, these findings show that strength training effectively ameliorated prostatic injuries in alcoholic rats at least partially by acting on lipids receptors and steroidal hormone receptors pathway, suggesting the strength training as a potential novel therapeutic strategy for treating prostate injuries caused by ethanol.
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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) | 0.000 | 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".