CD1d‐Restricted NKT Regulatory Cells: Functional Genomic Analyses Provide New Insights into the Mechanisms of Protection against Type 1 Diabetes
Bibliographic record
Abstract
Deficiencies in NKT cell number and function mediate the development of Type 1 diabetes (TID). NKT cell activation with the CD1d ligand alpha-galactosylceramide (alpha-GalCer) corrects these deficiencies and prevents the onset and recurrence of T1D in NOD mice. To investigate how alpha-GalCer accomplishes this, we conducted three sets of studies. First, gene microarray analyses showed that alpha-GalCer treatment decreases interleukin (IL)16 and increases IL10 and MIP1beta gene expression in the spleen. Anti-IL16 antibody treatment protects NOD mice against insulitis and T1D, and neutralization of MIP1beta abrogates IL4 induced protection from T1D. Second, alpha-GalCer treatment of NOD.ILA(-/-) mice demonstrated that IL4 expression is required for prevention of T1D but not for NKT cell development. Third, we found that diabetes resistance in three novel congenic NOD.B6Idd4 mouse strains is associated with an increased number of NKT cells in pancreatic lymph nodes (PLNs). This increase was not evident in the spleen or PLNs of NOD.MIP1a(-/-) mice after alpha-GalCer treatment. Our data suggest that MIP1beta is a candidate gene in Idd4 that regulates NKT cell function and diabetes susceptibility. By controlling the expression and activity of IL16 and MIP1beta alpha-GalCer treatment may modulate the number, localization and function of NKT cells and regulate susceptibility to T1D.
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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 | 0.001 |
| 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) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".