Pathogenic Thyroglobulin Peptides as Model Antigens: Insights on the Induction and Maintenance of Autoimmune Thyroiditis
Bibliographic record
Abstract
In recent years, the discovery of pathogenic thyroglobulin (Tg) peptides has given a new impetus to study, at the basic level, mechanisms of induction and immunoregulation of autoimmune thyroiditis. The genetic control of the immune response against defined Tg epitopes and the diversity of the T-cell receptor repertoire recruited for their recognition were among the first issues examined. Some of these epitopes contained hormonogenic sites, i.e. thyroxine residues, and thus offered an excellent opportunity to study how post-translational modifications such as iodination, can influence induction of thyroiditogenic cells. The delineation of pathogenic Tg determinants also enabled the search for "molecular mimics" i.e. peptides of microbial origin that may be involved in the pathogenesis of the disease. In addition, factors promoting the generation of pathogenic epitopes during Tg processing in antigen presenting cells could now be systematically investigated. This review summarizes recent findings in these areas.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".