Arginine vasotocin is a player in the multifactorial control of spermatogenesis in zebrafish
Bibliographic record
Abstract
This study investigated the role of vasotocin (AVT) in the multifaceted regulation of spermatogenesis in zebrafish, with a focus on its interaction with gonadotropin hormones. Using an ex vivo cultured testis, we explored the interaction of AVT with gonadotropins, LH and FSH, to regulate different stages of germ cell development. In this study, we used recombinant zebrafish FSH and hCG to stimulate the LH-induced response due to the limited availability of zebrafish LH, as it is known to exert similar effects on testicular function. Treatment with AVT enhanced FSH-induced proliferation of early undifferentiated spermatogonia (Aund) germ cells, as well as promoting the proliferation of later-stage type B germ cells when combined with LH/hCG. Additionally, AVT significantly decreased FSH-induced 11-ketotestosterone (11-KT) production and Leydig-derived factors, including cyp17a1 and insl3 , without significantly affecting LH/hCG-induced androgen production. Based on these findings, we hypothesize that in the presence of FSH, AVT drives early germ cell proliferation and differentiation while simultaneously inhibiting premature progression through spermiogenesis. This stage-specific modulation of gonadotropin signaling by AVT underscores its dual role in fine-tuning testicular function and germ cell maturation in male zebrafish. Overall, our findings suggest that AVT contributes to the complex multifactorial network regulating spermatogenesis 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 | 0.001 |
| 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".