Oxidative stress burden inhibits spermatogenesis in adult male rats: testosterone protective effect
Bibliographic record
Abstract
In this study, we aimed to investigate the protective effects of androgens, using letrozole (LET; an aromatase inhibitor), grape seed extract (GSE; a naturally occurring aromatase inhibitor and antioxidant), and testosterone propionate (Tp), against methotrexate (MTX)-induced testicular toxicity in adult male rats. MTX has been shown to induce oxidative stress and exhibit antiproliferative effects in the testes. Adult male rats received oral saline gavage (control group with no treatment), the potential protective agents (LET, GSE, or Tp) alone, MTX alone, or a combination of one of the potential protective agents and MTX. The testicular levels of oxidative stress markers and cytokines (tumor necrosis factor-α and interleukin-1β) were measured. Spermatogenesis and sperm viability were microscopically evaluated. Administration of LET and GSE 7 days before MTX improved spermatogenesis and sperm viability, as well as reduced the levels of oxidative stress markers and cellular cytokines. Exogenous testosterone exhibited anti-inflammatory and antioxidant activities, similar to GSE and LET. We also showed that enhancing the endogenous androgenic activity by LET and GSE protected spermatogenesis against MTX-induced testicular toxicity via reduction of inflammation and oxidative stress in the testes. Our data suggest that testosterone protected spermatogenesis owing to its antioxidant and anti-inflammatory properties.
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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 | 0.000 |
| 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".