Paneth Cells Are a Constitutive Source of IL-10 in Mouse Small Intestinal Organoids
Bibliographic record
Abstract
The healthy gut masks a dynamic balance between pro- and anti-inflammatory activities, largely due to microbial factors in the lumen. IL-10 is vital among the anti-inflammatory mediators, yet confirming constitutive versus stimulated secretion in any cell type is difficult due to the cellular complexity in the gut. Seeking to determine whether intestinal epithelial cells are programmed to constitutively make IL-10, we confirmed that IL-10 mRNA was present in enteroids from C57BL/6 mice and IL-10 protein was co-localized with a Paneth cell marker but not with markers for goblet or tuft cells. Paneth cells positive for IL-10 also possessed apical and basal IL-10RA, while cells negative for IL-10 had only basal IL-10RA, suggesting a possible autocrine role for IL-10. Indeed, Paneth cells in IL-10 gene knockout (IL-10KO) enteroids possessed lower levels of anti-microbial protein mRNAs, which could not be restored by adding IL-10. Enteroids passaged onto Transwell® filters to form monolayers were treated with IL-10 and STAT3 phosphorylation was measured. Apically applied IL-10 resulted in a stronger STAT3 signal than basally applied cytokine. Our results indicate that a subpopulation of Paneth cells constitutively secrete IL-10 apically, which binds apical IL-10RA, impacting the expression of anti-microbial proteins unique to Paneth cells.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".