An epithelial <i>Nfkb2</i> pathway exacerbates intestinal inflammation by supplementing latent RelA dimers to the canonical NF-κB module
Bibliographic record
Abstract
Abstract Aberrant inflammation associated with human ailments, including inflammatory bowel disease (IBD), is typically fuelled by the inordinate activity of RelA/NF-κB transcription factors. As such, the canonical NF-κB module mediates controlled nuclear activation of RelA dimers from the latent cytoplasmic complexes. What provokes pathological RelA activity in the colitogenic gut remains unclear. The noncanonical NF-κB pathway promotes immune organogenesis involving Nfkb2 gene products. Because NF-κB pathways are intertwined, we asked if noncanonical signaling aggravated inflammatory RelA activity. Our investigation revealed frequent engagement of the noncanonical pathway in human IBD. In a mouse model, an Nfkb2 function exacerbated gut inflammation by amplifying the epithelial RelA activity induced upon intestinal injury. Our mechanistic studies clarified that cell-autonomous Nfkb2 signaling supplemented latent NF-κB dimers leading to hyperactive canonical RelA response in the inflamed colon. In sum, regulation of latent NF-κB dimers links noncanonical signaling to RelA-driven inflammatory pathologies and may provide for therapeutic targets. In brief Noncanonical NF-κB signals in intestinal epithelial cells supplement latent RelA dimers that, in turn, aggravated canonical NF-κB response in the colitogenic gut exacerbating intestinal inflammation. Highlights Human IBD involves the frequent engagement of the noncanonical NF-κB pathway. Mice deficient in the noncanonical signal transducer Nfkb2 are resistant to experimental colitis. Noncanonical NF-κB signaling supplements latent RelA NF-κB dimers. Noncanonical NF-κB signaling amplifies canonical NF-κB response to TLR ligands.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".