MeCP2 enforces Foxp3 expression to promote regulatory T cells’ resilience to inflammation
Bibliographic record
Abstract
Forkhead box P3(+) (Foxp3(+)) regulatory T cells (Tregs) are crucial for peripheral tolerance. During inflammation, steady Foxp3 expression in Tregs is essential for maintaining their lineage identity and suppressive function. However, the molecular machinery governing Tregs' resilience to inflammation-induced Foxp3 destabilization remains elusive. Here, we demonstrate that methyl-CpG binding protein 2 (MeCP2), an eminent epigenetic regulator known primarily as the etiological factor of Rett syndrome, is critical to sustain Foxp3 expression in Tregs during inflammation. In response to inflammatory stimuli, MeCP2 is specifically recruited to the Conserved Non-Coding sequence 2 region of the foxp3 locus, where it collaborates with cAMP responsive element binding protein 1 to promote local histone H3 acetylation, thereby counteracting inflammation-induced epigenetic silencing of foxp3. Consequently, Treg-specific deletion of MeCP2 causes spontaneous immune activation in mice and failure in protection against autoimmunity. Furthermore, we demonstrate that Foxp3 expression in MeCP2-deficient Tregs diminishes with time, resulting in their failure to suppress effector T-cell-mediated colitis. Thus, MeCP2 serves as a critical safeguard that confers Tregs with resilience against inflammation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".