Pathogenic T helper type 17 cells contribute to type 1 diabetes independently of interleukin-22
Bibliographic record
Abstract
We have shown that pathogenic T helper type 17 (Th17) cells differentiated from naive CD4(+) T cells of BDC2·5 T cell receptor transgenic non-obese diabetic (NOD) mice by interleukin (IL)-23 plus IL-6 produce IL-17, IL-22 and induce type 1 diabetes (T1D). Neutralizing interferon (IFN)-γ during the polarization process leads to a significant increase in IL-22 production by these Th17 cells. We also isolated IL-22-producing Th17 cells from the pancreas of wild-type diabetic NOD mice. IL-27 also blocked IL-22 production from diabetogenic Th17 cells. To determine the functional role of IL-22 produced by pathogenic Th17 cells in T1D we neutralized IL-22 in vivo by using anti-IL-22 monoclonal antibody. We found that blocking IL-22 did not alter significantly adoptive transfer of disease by pathogenic Th17 cells. Therefore, IL-22 is not required for T1D pathogenesis. The IL-22Rα receptor for IL-22 however, increased in the pancreas of NOD mice during disease progression and based upon our and other studies we suggest that IL-22 may have a regenerative and protective role in the pancreatic islets.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".