Interplay between CD45RA+ regulatory T cells and TNF- in the regulation of human Th17 differentiation
Bibliographic record
Abstract
The balance between effector CD4(+) T cells secreting IL-17 (T(h)17) and regulatory T cells (Treg) plays an important role in autoimmune disorders that include rheumatoid arthritis (RA) and Crohn's disease. Tumor necrosis factor (TNF)-alpha is a key pro-inflammatory cytokine that contributes to disease pathogenesis. We investigated the interplay between CD45RA(+) Treg and TNF-alpha in the regulation of human T(h)17 differentiation. We found that CD45RA(+) Treg promoted while TNF-alpha inhibited naive CD4(+) T-cell differentiation into IL-17 and CCL20 co-expressing T(h)17 cells without influencing their IL-22 release. Unexpectedly, CD45RA(+) Treg depletion abrogated TNF-alpha suppressive function. Finally, dendritic cell-derived TNF-alpha suppressed the development of IL-17(+)CCL20(+) expressing T(h)17 cells. In conclusion, CD45RA(+) Treg positively governs human T(h)17 development, which is impaired by TNF-alpha. We propose that TNF-alpha may represent a negative feedback mechanism to control IL-17/CCL20- but not IL-22-associated autoimmune pathologies.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".