Abnormal T‐cell reactivities in childhood inflammatory demyelinating disease and type 1 diabetes
Bibliographic record
Abstract
OBJECTIVES: Pediatric-onset multiple sclerosis offers a unique window into early targets and mechanisms of immune dysregulation. It is unknown whether heightened T-cell reactivities documented in adult patients, to both target-organ and environmental antigens, emerge in parallel or develop as early or late events. Our objectives were to determine the presence, pattern, and specificity of abnormal T-cell reactivities to such antigens in the earliest stages of the multiple sclerosis process. METHODS: Peripheral T-cell proliferative responses to self-, dietary, and control antigens were blindly evaluated in a large cohort of well-characterized children (n = 172) with central nervous system (CNS) inflammatory demyelination (n = 63), recent-onset type 1 (insulin-dependent) diabetes mellitus (T1D; n = 41), nonautoimmune neurological conditions (n = 39), and healthy children (n = 29). RESULTS: Children with inflammatory demyelination, CNS injury, and T1D exhibited heightened T-cell reactivities to self-antigens, and these responses were not strictly limited to the disease target organs. Children with autoimmune disease and CNS injury also exhibited abnormal T-cell responses against multiple cow-milk proteins. Responses to specific milk epitopes distinguished T1D from inflammatory demyelination and other neurological diseases. INTERPRETATION: Abnormal T-cell reactivities to self- and environmental antigens manifest in the earliest clinical stages of inflammatory demyelination and T1D. The pattern of heightened T-cell reactivities implicates both shared and distinct mechanisms of immune dysregulation in the different autoimmune diseases. Abnormal T-cell responses in children with tissue injury challenge the prevailing view that CNS autoreactive cells inherently mediate the disease in early multiple sclerosis.
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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 | 0.001 | 0.001 |
| 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".