SHIP Regulates the Reciprocal Development of T Regulatory and Th17 Cells
Bibliographic record
Abstract
Maintaining an appropriate balance between subsets of CD4(+) Th and T regulatory cells (Tregs) is critical to maintain immune homeostasis and prevent autoimmunity. Through a common requirement for TGF-beta, the development of peripherally induced Tregs is intimately linked to that of Th17 cells, with the resulting lineages depending on the presence of proinflammatory cytokines such as IL-6. Currently very little is known about the molecular signaling pathways that control the development of Tregs vs Th17 cells. Reduced activity of the PI3K pathway is required for TGF-beta-mediated induction of Foxp3 expression and the suppressive activity of Tregs. To investigate how negative regulators of the PI3K pathway impact Treg development, we investigated whether SHIP, a lipid phosphatase that regulates PI3K activity, also plays a role in the development and function of Tregs. SHIP-deficient Tregs maintained suppressive capacity in vitro and in a T cell transfer model of colitis. Surprisingly, SHIP-deficient Th cells were significantly less able to cause colitis than were wild-type Th cells due to a profound deficiency in Th17 cell differentiation, both in vitro and in vivo. The inability of SHIP-deficient T cells to develop into Th17 cells was accompanied by decreased IL-6-stimulated phosphorylation of STAT3 and an increased capacity to differentiate into Treg cells under the influence of TGF-beta and retinoic acid. These data indicate that SHIP is essential for normal Th17 cell development and that this lipid phosphatase plays a key role in the reciprocal regulation of Tregs and Th17 cells.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".