The IL-18 receptor is expressed on murine small-intestinal enterochromaffin cells and executes a recovery program upon injury
Bibliographic record
Abstract
Upon injury, epithelial-derived IL-18 is released and induces an inflammatory response in underlying IL18R1 + lamina propria cells. Notably, Il18r1 is also predicted to be expressed and functional in intestinal epithelial cells (IECs), since epithelial IL18R1 deficiency contributes to worsened outcomes upon inflammatory challenge. However, the nature of Il18r1 + IECs, and their subsequent role in epithelial-intrinsic IL-18 signaling is poorly characterized. Here, we show that, in the murine small intestine, the IL-18 receptor is expressed by rare IECs that we identified to be a subset of enterochromaffin cells (ECC). While these cells are the major producers of serotonin in the intestine, we found no evidence that IL-18 regulated serotonin metabolism or release. Rather, upon radiation-induced injury, Il18r1 + cells appeared in the crypt base and took on a revival stem cell (revSC) program, marked by mixed expression of YAP/TAZ and enteroendocrine genes signatures. Functionally, irradiated Il18 −/− mice display reduced epithelial proliferation and altered differentiation in the small intestine, characterized by increased Paneth cells (PC) and elevated Wnt3 levels, which was partially recapitulated in Il18 −/− ileal organoids. In sum, we identified an Il18r1 + population in the epithelium and revealed a role for IEC-intrinsic IL-18 signaling during injury.
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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) | 0.000 | 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) | 0.002 | 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".