Interleukin‐10 limits the expansion of immunoregulatory CD4<sup>−</sup>CD8<sup>−</sup> T cells in autoimmune‐prone non‐obese diabetic mice
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Bibliographic record
Abstract
Regulatory T cells appear to show great potential for use in cellular therapy. In particular, CD4(-)CD8(-) (double negative (DN)) T cells, which compose 1-3% of the total number of T lymphocytes, exhibit prominent antigen-specific immune tolerance properties and confer immune tolerance in models of allografts and xenografts. We have recently shown that autoimmune-diabetes-prone mice carry fewer DN T cells and that this phenotype contributes to autoimmune-prone diabetes susceptibility, suggesting that increasing DN T-cell number in autoimmune-prone individuals may be of therapeutic interest. To achieve this goal, we must first determine whether the remaining DN T cells in autoimmune-prone mice are functional. In addition, we must identify the parameters that regulate the numbers of DN T cells. Herein, we evaluate the immunoregulatory properties of DN T cells in the autoimmune-prone non-obese diabetic (NOD) genetic background. Using 3A9 TCR transgenic mice, we show that DN T cells from both diabetes-resistant B10.Br and genetically autoimmune-prone NOD.H2(k) mice show an equivalent immunoregulatory potential on a per cell basis. However, upon stimulation, there is a 10-fold increase in the number of 3A9 TCR transgenic DN T cells that produce interleukin 10 (IL-10) from NOD.H2(k) mice in comparison with B10.Br mice. We further showed that IL-10 facilitates DN T-cell apoptosis and thus may regulate the number of DN T cells. Taken together, our results show that, although reduced in number, DN T cells from mice carrying an autoimmune-prone genetic background exhibit a potent cytotoxic potential and that DN T-cell expansion is regulated, at least in part, by IL-10.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it