Proinflammatory properties of IL-4 in the intestinal microenvironment
Bibliographic record
Abstract
IL-4 is involved in type 2 T helper cell (Th)2-type immune responses and, in some cases, can promote Th1 responses. However, the proinflammatory potential of IL-4 alone is unclear. In this study, we examined the ability of IL-4 to induce colitis after its overexpression in the colon using an adenoviral vector (Ad5) and compared results with those obtained after overexpression of IL-12, a cytokine implicated in several models of colitis. Overexpression of IL-4 or IL-12 caused a fatal colitis within 24 h in 60% of animals and was dose and strain dependent. IL-12-induced colitis was accompanied by the local expression of IFN-gamma and TNF-alpha but not IL-4 mRNA and protein. Conversely, IL-4-induced colitis was accompanied by the local expression of IL-4 and TNF-alpha but not IFN-gamma mRNA and protein. The Ad5-IL4-induced colitis did not persist beyond 3 days and was present in recombinase activation gene-2 (RAG-2)-/- mice but not in STAT6-/- mice. Acute lethal colitis induced by Ad5IL12 was T cell mediated and IFN-gamma receptor (IFN-gamma R) dependent. Furthermore, TNF-alpha was found to be important in the pathogenesis of Ad5IL-4 and Ad5IL-12-induced colitis. Results of this study indicate that IL-4 alone can act as a proinflammatory cytokine in the gut of normal mice, inducing a rapid onset and short-lived colonic injury while maintaining a Th2-type cytokine profile that functions via a local T cell-independent mechanism involving TNF-alpha.
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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) | 0.001 | 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".