Enhanced apoptosis of NOD.H2h4 thyrocytes by low concentrations of iodide: an intrinsic susceptibility factor in iodide-accelerated thyroiditis? (P4148)
Bibliographic record
Abstract
Abstract Enhanced iodide intake in NOD.H2h4 mice accelerates the onset and severity of spontaneous autoimmune thyroiditis (ISAT) via an unknown mechanism. In this study, we have tested two hypotheses: 1) that NOD.H2h4 thyrocytes exhibit increased susceptibility to iodide-mediated apoptosis vs that of thyrocytes from other strains of mice; and 2) that progression of ISAT is associated with a reduction in the number of Treg cells in lymphoid tissues. We report that NOD.H2h4 thyrocytes cultured in vitro for 24 hr with 1-16 μM of NaI exhibited total numbers of apoptotic cells (ranging from 7.2 -32.9% above background) which were significantly higher than similarly treated CBA/J thyrocytes (ranging from 1.5 - 6.3% above background) upon staining with fluorescent caspase inhibitors. In addition, we report that flow cytometry of Treg cells in thyroid-draining lymph nodes (7.6-9.9% of CD4+ cells) or spleens (18.5 -19% of CD4+ cells) of NOD.H2h4 Foxp3-gfp mice did not reveal a significant alteration in their frequency, 7, 11 and 15 days following the initiation of enhanced iodide-intake (0.05 % NaI in drinking water). These results indicate that ISAT is not associated with a decrease of Treg frequency in lymphoid organs during the initial stages of the disease but support the view that an intrinsic high susceptibility of NOD.H2h4 thyrocytes to iodide-mediated apoptosis may be one of the triggering factors in ISAT.
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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) | 0.002 | 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".