Faculty Opinions recommendation of The S1P(1)-mTOR axis directs the reciprocal differentiation of T(H)1 and T(reg) cells.
Bibliographic record
Abstract
Naïve CD4 + T cells differentiate into diverse effector and regulatory lineages to orchestrate immunity and tolerance.The differentiation of pro-inflammatory T H 1 and anti-inflammatory Foxp3+ regulatory T cells (Treg) was reciprocally regulated by S1P 1 , a receptor for the bioactive lipid sphingosine-1-phosphate. S1P 1 inhibited extrathymic and natural Treg generation while driving T H 1 cell development in a reciprocal manner and disrupted immune homeostasis.S1P 1 signaled through mTOR and antagonized TGF-β function mainly by attenuating sustained Smad3 activity.S1P 1 function was dependent upon endogenous sphingosine kinase activity.Remarkably, two seemingly unrelated immunosuppressants FTY720 and rapamycin targeted the same S1P 1 and mTOR pathway to regulate the dichotomy between T H 1 and Treg cells.Our studies establish an S1P 1 -mTOR axis that controls T cell lineage specification.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.443 | 0.170 |
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".