Thyroid Axis Disruption in Juvenile Brown Trout (<i>Salmo trutta</i>) Exposed to the Flame Retardant β-Tetrabromoethylcyclohexane (β-TBECH) via the Diet
Bibliographic record
Abstract
Tetrabromoethylcyclohexane (TBECH) is an additive brominated flame retardant used in domestic and industrial applications. It has been detected in wildlife, and there is early evidence that it is an endocrine disruptor. Whereas other brominated flame retardants with similar physicochemical properties have been shown to disrupt the thyroid axis, no such evaluation has been conducted for TBECH. To elucidate this, juvenile brown trout (Salmo trutta) were fed either a control diet or diets containing low, medium, or high doses of β-TBECH, the isomer most frequently detected in wildlife, for 56 days (uptake phase) followed by a control diet for an additional 77 days (depuration phase). Eight fish per treatment were lethally sampled on uptake days 7, 14, 21, 35, 49, and 56 and on depuration days 7, 21, 35, 49, and 77 to assess fish condition, circulating free and total triiodothyronine and thyroxine, and thyroid epithelial cell height. Although there was no effect on condition factor, there was a significant reduction in total plasma thyroxine in the high dose group and a significant increase in mean thyroid epithelial cell height in the low, medium, and high dose groups during the uptake phase, whereas there were no differences in the depuration phase. These results indicate that β-TBECH may modulate the thyroid axis in fish at environmentally relevant concentrations.
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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".