Metabolomic and transcriptomic profiles after immune stimulation in the zebrafish testes
Bibliographic record
Abstract
Fish farms are prone to disease outbreaks and stress due to high-density rearing conditions in tanks and sea cages, adversely affecting growth, reproduction, and metabolism. To understand the molecular mechanisms affected in the gonads of breeder fish after an immune challenge, we investigated the metabolome and the transcriptome profiles in zebrafish testes after inducing an immune response. After 48 h of the immune challenge, ultra-high-performance liquid chromatography (LC-MS) and transcriptomic analysis by RNA-seq (Illumina) resulted in 20 different released metabolites and 80 differentially expressed genes. Among these, glutamine and succinic acid were the most abundant metabolites released and 27,5% of the genes belong to either the immune or reproduction systems. Pathway analysis based on metabolomic and transcriptomic crosstalk identified cad and iars genes that act simultaneously with succinate metabolite. This study deciphers interactions between reproduction and immune systems and provides a basis to improve protocols in generating more resistant broodstock.
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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".