IL-17 Receptor Signaling Inhibits C/EBPβ by Sequential Phosphorylation of the Regulatory 2 Domain
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Bibliographic record
Abstract
Interleukin-17 (IL-17), the hallmark cytokine of T helper 17 (T(H)17) cells, signals through a distinct receptor subclass, yet little is known about the mechanisms involved. IL-17 activates the expression of target genes through the actions of the transcription factors nuclear factor kappaB (NF-kappaB), CAAT enhancer binding protein delta (C/EBPdelta), and C/EBPbeta. The adaptor proteins tumor necrosis factor receptor-associated factor 6 (TRAF6) and Act1 are upstream of NF-kappaB and C/EBPdelta, but the regulation of C/EBPbeta remains undefined. Here, we show that IL-17 signaling led to phosphorylation of two sites in the regulatory 2 domain of C/EBPbeta in a sequential, interdependent fashion. The first was rapid and dependent on extracellular signal-regulated kinase (ERK), whereas the second was dependent on the activity of glycogen synthase kinase 3beta (GSK-3beta). These pathways were mediated by distinct subdomains within IL-17 receptor A (IL-17RA). Whereas phosphorylation of threonine 188 (Thr188) was mediated by the previously identified SEF/IL-17R homology domain-Toll-IL-1R-like loop (SEFIR-TILL), phosphorylation of Thr179 occurred through a newly characterized motif located in the distal tail of IL-17RA. Phosphorylated C/EBPbeta mediated a negative signal, because blocking ERK and GSK-3beta increased expression of IL-17 target genes and a C/EBPbeta-Thr188 mutant enhanced activation of a C/EBP-dependent reporter. Overexpression of GSK-3beta inhibited IL-17-induced activation of a C/EBP-dependent reporter, and Thr179 of C/EBPbeta was not phosphorylated in GSK-3beta-deficient cells. Thus, IL-17 triggered the dual phosphorylation of C/EBPbeta, which inhibited the expression of proinflammatory genes. This detailed dissection is the first for the IL-17-mediated C/EBP pathway and the first known example of a negative signal mediated by IL-17RA.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it