An elderberry-supplemented diet improves spermatogenesis in mice with busulfan-induced azoospermia
Bibliographic record
Abstract
CONTEXT: Approximately 40-50% of all infertility cases are due to male infertility, and one of the most important causes of infertility is azoospermia. AIMS: This study aimed to evaluate the potential effect of elderberry on the spermatogenesis process in the azoospermia mice model. METHOD: Thirty adult male mice were randomised into three groups: control; busulfan (45mg/kg); and busulfan+elderberry (2%), 6mL orally per animal. Sperm samples were collected from the tail of the epididymis, and testis specimens were also collected and then subjected to sperm parameters analysis, histopathological evaluation, reactive oxygen species (ROS), and glutathione (GSH) measurement to determine the mRNA expression and hormonal assay. CONCLUSIONS: It can be concluded that the elderberry diet may be considered a complementary treatment to improve the spermatogenesis process in busulfan-induced azoospermic mice. IMPLICATIONS: Considering some limitations, the elderberry diet can be an alternate option for improving testicular damage following chemotherapy.
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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 | 0.001 | 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".