Assessment of thyroid function in adult medaka (<i>Oryzias latipes</i>) and juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) using immunostaining methods
Bibliographic record
Abstract
The effect of injected bovine TSH on the pattern of anti-T(4) and anti-T(3) immunostaining of the thyroid tissue was examined in rainbow trout (Oncorhynchus mykiss) and medaka (Oryzias latipes) to determine if the previously reported immunostaining of the cytoplasm of thyrocytes is due to the presence of colloid pinocytotic vesicles and is thus indicative of thyroid hormone release. We hypothesized that the number of immunostained thyrocytes should increase following a TSH challenge, and this should parallel other indicators of increased thyroid activity. In medaka, immunostained thyrocytes were only found following the TSH challenge, and were most marked after 24 to 72 hours; the immunostaining was associated with large colloid-filled cytoplasmic vesicles. In trout, the number and staining intensity of immunostained thyrocytes were increased after the TSH challenge; the immunostaining was present throughout the cytoplasm of the thyrocytes. These findings support the working hypothesis that the immunostaining of the thyrocytes is associated with the pinocytosis of thyroglobulin by the thyrocytes in parallel with an increase in release of thyroid hormone, and that this investigational approach provides a reliable indicator of thyroid hormone release activity.
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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 | 0.000 |
| 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".