Dose–Response Effects of Oral Melatonin on Reproductive Parameters in Intact Male Pomeranian Dogs With Alopecia X: A Controlled Study
Bibliographic record
Abstract
This study investigates the dose-response effects of oral melatonin on reproductive parameters in intact male Pomeranian dogs diagnosed with Alopecia X. Given melatonin's potential therapeutic effects on hair regrowth and reproductive health, this study aimed to evaluate its impact on semen quality, hormonal profiles and testicular haemodynamics. A total of 16 intact male Pomeranian dogs were randomly assigned to four groups: a control group receiving a placebo and three treatment groups receiving melatonin at low (0.1 mg/kg), medium (0.3 mg/kg) and high (0.5 mg/kg) doses, administered twice daily for 45 days. Reproductive parameters, including semen volume, sperm concentration, total sperm count, sperm motility and levels of testosterone and oestradiol 17-ß, were assessed biweekly. Testicular haemodynamics were evaluated using pulsed Doppler ultrasonography. The results showed dose-dependent improvements in semen quality and testicular blood flow, with the highest dose group demonstrating the most significant improvements. However, analysis of the testosterone-to-oestradiol ratio revealed a decrease in the treatment groups, highlighting a complex hormonal response. Although semen quality improved, the study's short duration may not have captured the full spermatogenesis cycle. These findings suggest that melatonin may enhance reproductive function in male dogs with Alopecia X, but further research is needed to clarify its long-term endocrine effects and optimize treatment protocols.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".