Functional Waning of Naturally Occurring CD4+ Regulatory T-Cells Contributes to the Onset of Autoimmune Diabetes
Bibliographic record
Abstract
OBJECTIVE: In this study, we asked whether a possible quantitative or qualitative deficiency in naturally occurring Foxp3(+)CD4(+) regulatory T-cells (nT(reg)), which display potent inhibitory effects on T-cell functions in vitro and in vivo, may predispose to the development of type 1 diabetes. RESEARCH DESIGN AND METHODS: We assessed the frequency and function of Foxp3(+) nT(reg) cells in primary and secondary lymphoid tissues in the NOD animal model of type 1 diabetes. RESULTS: We show that the cellular frequency of Foxp3(+) nT(reg) cells in primary and secondary lymphoid tissues is stable and does not decline relative to type 1 diabetes-resistant mice. We show that thymic and peripheral CD4(+)CD25(+) T-cells are fully functional in vivo. We also examined the functional impact of CD4(+)Foxp3(+) nT(reg) cells on the development of autoimmune diabetes, and we demonstrate that nT(reg) cells do not affect the initial priming or expansion of antigen-specific diabetogenic T-cells but impact their differentiation in pancreatic lymph nodes. Moreover, CD4(+)Foxp3(+) nT(reg) cells also regulate later events of diabetogenesis by preferentially localizing in the pancreatic environment where they suppress the accumulation and function of effector T-cells. Finally, we show that the nT(reg) cell functional potency and intra-pancreatic proliferative potential declines with age, in turn augmenting diabetogenic responses and disease susceptibility. CONCLUSIONS: This study demonstrates that Foxp3-expressing nT(reg) cells in NOD mice regulate diabetogenesis, but temporal alterations in nT(reg) cell function promote immune dysregulation and the onset of spontaneous autoimmunity.
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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 | 0.000 |
| 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".