Brain-derived neurotrophic factor stimulates hypothalamic and gonadal reproductive hormones and oocyte maturation in zebrafish
Bibliographic record
Abstract
In brief: The brain-derived neurotrophic factor (BDNF) has been shown to regulate metabolism in zebrafish. This research shows that Bdnf is a regulator of female zebrafish reproduction and reproductive hormones. Abstract: BDNF is a peptide widely known for its role in neurogenesis and synaptic plasticity. Its expression in non-neuronal tissues has been reported. In mammals, it is involved in ovarian development, follicle growth, oocyte maturation and early embryonic development. In zebrafish, it was demonstrated that Bdnf increases food intake and regulates metabolism. Reproduction and metabolism are tightly linked. We hypothesized that Bdnf modulates reproductive hormones and reproductive functions in zebrafish. This study aimed to determine Bdnf expression in the zebrafish reproductive axis and whether it modulates the reproductive endocrine milieu and oocyte biology in zebrafish. Our results show that bdnf and its receptor trkb and Bdnf-like immunoreactivity are present in zebrafish gonads and liver cells. This suggests Bdnf local production and possible actions within the gonads and liver. Intraperitoneal administration of 1, 10 or 100 ng/g body weight BDNF significantly (ANOVA, P < 0.05) increased sgnrh/cgnrh-II, kiss1 and cyp19a1b mRNAs in the zebrafish brain, steroidogenic enzymes (star and cyp19a1a) and key receptors in the zebrafish gonads. In vitro incubation of zebrafish liver cells with BDNF significantly (ANOVA, P < 0.05) increased estrogen receptor mRNAs and vitellogenin concentrations (ELISA) in the cells. BDNF (100 ng/mL) induced (ANOVA, P < 0.05) oocyte maturation in vitro at 24 h post-incubation and significantly upregulated cumulus-expansion-related genes (ANOVA, P < 0.05). Overall, our findings indicate a stimulatory role for Bdnf in the reproductive axis of zebrafish. This provides impetus for future research on its mechanism of action and potential practical applications to enhance reproduction in aquaculture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".