Acute tryptophan depletion: the first method validation in an avian species (Gallus gallus domesticus)
Bibliographic record
Abstract
Acute tryptophan depletion (ATD) is a valuable non-invasive nutritional tool in human and rodent research to study dysfunctions of the serotonergic system and related behavioral disorders. Serotonergic dysfunction is thought to be involved in the pathology of feather pecking behavior of laying hens, one of the most relevant welfare and production issues in modern intensive egg-production systems. ATD temporarily compromises the influx of tryptophan (TRP) across the blood brain barrier which reduces central availability of TRP, the substrate for serotonin (5-HT) synthesis. However, ATD has never before been developed and evaluated in birds. We hereby report that ATD in laying hens effectively depletes plasma levels of TRP to 50% of the baseline concentration, 4 hours after administration. Furthermore, ATD reduces the ratios of TRP towards aromatic amino acids (AAA) by 60% and the ratio of TRP towards large neutral amino acids (LNAA) by 70%, three hours after administration. Further studies will be needed to determine the effects of peripheral depletion on brain TRP and 5-HT levels in birds. However, our study showed for the first time in an avian species that ATD causes lowering of plasma TRP and the ratio in plasma of TRP towards other AAA or LNAA.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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".