The IL-2 SYNTHORIN molecule promotes functionally adapted Tregs in a preclinical model of type 1 diabetes
Bibliographic record
Abstract
Deficits in IL-2 signaling can precipitate autoimmunity by altering the function and survival of FoxP3+ regulatory T cells (Tregs) while high concentrations of IL-2 fuel inflammatory responses. Recently, we showed that the non-beta IL-2 SYNTHORIN molecule SAR444336 (SAR'336) can bypass the induction of autoimmune and inflammatory responses by increasing its reliance on IL-2 receptor α chain subunit (CD25) to provide a bona fide IL-2 signal selectively to Tregs, making it an attractive approach for the control of autoimmunity. In this report, we further demonstrate that SAR'336 can support non-beta IL-2 signaling in murine Tregs and limit NK and CD8+ T cells' proliferation and function. Using a murine model of spontaneous type 1 diabetes, we showed that the administration of SAR'336 slows the development of disease in mice by decreasing the degree of insulitis through the expansion of antigen-specific Tregs over Th1 cells in pancreatic islets. Specifically, SAR'336 promoted the differentiation of IL-33-responsive (ST2+), IL-10-producing GATA3+ Tregs over other Treg subsets in the pancreas, demonstrating the ability of this molecule to further orchestrate Treg adaptation. These results offer insight into the capacity of SAR'336 to generate highly specialized, tissue-localized Tregs that promote restoration of homeostasis during ongoing autoimmune disease.
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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 | 0.000 |
| 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".