Lack of phospho-eIF4E worsens experimental colitis by inhibiting Treg suppressive activity
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Bibliographic record
Abstract
Phosphorylation of eIF4E by MNK1/2 modulates protein synthesis by controlling the translation of specific mRNAs. Immune cells use the MNK1/2-eIF4E axis to adapt their gene expression in response to environmental cues, but its dysregulated activity promotes disease progression. While recent examples using cancer models have identified CD8+ T-cells as a conduit for the tumor-supporting role of the MNK1/2-eIF4E axis, the impact of phospho-eIF4E on CD4+ T-cell subsets, specifically regulatory T-cells, remains unclear. To fill this knowledge gap, we studied the impact of phospho-eIF4E-deficiency on Treg activity in mice in an inflammatory context using a model of murine colitis and in human PBMCs. We found that Tregs isolated from mice deficient for phospho-eIF4E (expressing a serine-to-alanine mutation at S209) had a diminished ability to control CD4+ T-cell proliferation and IFNγ secretion in vitro. We further report aggravated colitis in mice deficient in phospho-eIF4E accompanied by an increase in CD4+ T-cells expressing IFNγ and a reduction in Tregs in the mesenteric lymph nodes and colon. Mechanistically, T-cells lacking phospho-eIF4E show impaired differentiation into Tregs, and Tregs lacking phospho-eIF4E have reduced FoxP3 expression and diminished migration to the lymph nodes. Using human PBMCs, anti-CTLA-4, but not anti-PD-1, reduced the phospho-eIF4E-expressing Treg population. Taken together, these data highlight a role for phospho-eIF4E in Treg biology and in the control of inflammation. Not applicable.
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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 | 0.000 | 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 it