Induction of Goitrous Hypothyroidism by Dietary Iodide in SJL Mice
Bibliographic record
Abstract
Prolonged intake of large amounts of iodide has been reported to increase the incidence of goiter and/or hypothyroidism in humans as well as animals prone to spontaneous autoimmune thyroiditis. In the current study, we investigated the role of dietary iodide on the development of hypothyroidism, as well as thyroiditis, in strains of mice that do not develop spontaneous autoimmune thyroiditis. Intake of 0.05% NaI via drinking water for 10 wk induced hypothyroidism in SJL/J mice as indicated by elevated TSH and depressed total T(4) values in serum and formation of colloidal goiter with an inactive flattened thyroid epithelium. Hypothyroidism did not appear to have an autoimmune basis because only focal mononuclear cell infiltrates were found intrathyroidally, and antithyroglobulin antibodies or increased organification of iodide were not detected. These phenomena were not observed in similarly treated CBA/J mice, suggesting polymorphisms in genes controlling events downstream of iodide uptake by thyrocytes. Interestingly, RT-PCR analysis indicated that unlike CBA/J, SJL/J mice could not down-regulate Na/I symporter gene expression during the NaI treatment. No significant temporal or strain differences were observed regarding the expression of thyroglobulin, pendrin, thyroid peroxidase, and DUOX1 and DUOX2 genes after NaI intake. Our results point to the generation of a mouse model for the study of iodine-induced hypothyroidism, which does not seem to have an autoimmune basis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".