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 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) | 0.001 | 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) | 0.004 | 0.001 |
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".