Integrated Role of Arginine Vasotocin in the Control of Spermatogenesis in Zebrafish
Bibliographic record
Abstract
Arginine vasotocin (AVT) has recently emerged as a local regulator of testicular function in fish. Using ex vivo culture system, it was demonstrated that AVT directly stimulates androgen-dependent basal spermatogenesis in zebrafish. In the presence of gonadotropins, AVT enhanced FSH-induced development of early phases of spermatogonial proliferation while blocking FSH-mediated spermiogenesis. However, AVT promoted proliferation of LH-induced pre-meiotic and meiotic germ cell populations without affecting the final stages of spermiogenesis. These findings led to the hypothesis that AVT plays a role by promoting early germ cell proliferation and differentiation while simultaneously inhibiting premature progression through spermiogenesis. To test this hypothesis, we investigated the chronic effects of AVT on adult zebrafish testes, in vivo. Prolonged AVT treatment for 21 days led to dose-dependent accumulation of undifferentiated type A spermatogonia and reduced post-meiotic germ cells and spermatozoa. We also observed decreased plasma 11-ketotestosterone (11-KT) levels and downregulation of fshr. This was accompanied by a basal suppression of avt and its receptors, avpr1aa, avpr1ab, avpr2aa, avpr2ab, avpr2l, in both brain and testis during the pre-spawning phase. The present findings, along with those of previously published studies, collectively demonstrate that AVT presence during the early stages of testicular development promotes spermatogonia proliferation while diminishing FSH-induced premature progress toward spermatogenesis. This occurs until later stages, when AVT expression is diminished, allowing for optimal LH-induced spermiogenesis in zebrafish.
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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) | 0.001 | 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".