Enhanced Iodination of Thyroglobulin Facilitates Processing and Presentation of a Cryptic Pathogenic Peptide
Bibliographic record
Abstract
Increased iodine intake has been associated with the development of experimental autoimmune thyroiditis (EAT), but the biological basis for this association remains poorly understood. One hypothesis has been that enhanced incorporation of iodine in thyroglobulin (Tg) promotes the generation of pathogenic T cell determinants. In this study we sought to test this by using the pathogenic nondominant A(s)-binding Tg peptides p2495 and p2694 as model Ags. SJL mice challenged with highly iodinated Tg (I-Tg) developed EAT of higher severity than Tg-primed controls, and lymph node cells (LNC) from I-Tg-primed hosts showed a higher proliferation in response to I-Tg in vitro than Tg-primed LNC reacting to Tg. Interestingly, I-Tg-primed LNC proliferated strongly in vitro against p2495, but not p2694, indicating efficient and selective priming with p2495 following processing of I-Tg in vivo. Tg-primed LNC did not respond to either peptide. Similarly, the p2495-specific, IL-2-secreting T cell hybridoma clone 5E8 was activated when I-Tg-pulsed, but not Tg-pulsed, splenocytes were used as APC, whereas the p2694-specific T cell hybridoma clone 6E10 remained unresponsive to splenic APC pulsed with Tg or I-Tg. The selective in vitro generation of p2495 was observed in macrophages or dendritic cells, but not in B cells, suggesting differential processing of I-Tg among various APC. These data demonstrate that enhanced iodination of Tg facilitates the selective processing and presentation of a cryptic pathogenic peptide in vivo or in vitro and suggest a mechanism that can at least in part account for the association of high iodine intake and the development of EAT.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".