The increased expression of IL-23 in inflammatory bowel disease promotes intraepithelial and lamina propria lymphocyte inflammatory responses and cytotoxicity
Why this work is in the frame
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Bibliographic record
Abstract
This study analyzed IL-23p19 expression in inflamed mucosa of IBD and the role in the induction of IEL and NK cell activation as well as Th17 cell differentiation. Expression of IL-23p19 was performed by immunohistochemistry and quantitative real-time PCR. Expression of IL-23R was assessed by flow cytometry. Cytolytic activities of IEL and NK cells by IL-23 were determined by a standard (51)Cr-release assay. Cytokine levels were analyzed by ELISA and quantitative real-time PCR. Expression of IL-23p19 was increased significantly in inflamed mucosa of CD compared with that in UC and healthy controls. Double-staining confirmed that IL-23p19(+) cells were mainly CD68(+) macrophages/DCs. IL-23R(+) cells were increased significantly in PB- and LP-CD4(+) and -CD8(+) T and NK cells. IL-23 markedly promoted IBD IEL and NK cell activation and cytotoxicity and triggered IBD PB- and LP-T cells to secrete significantly higher levels of IFN-γ, TNF, IL-2, and IL-17A compared with controls. Importantly, IL-23 promoted IBD PB- or LP-CD4(+) T cells to differentiate into Th17 cells, characterized by increased expression of IL-17A and RORC. Anti-TNF treatment could markedly reduce IL-23 expression and Th17 cell infiltration in inflamed mucosa of CD patients. These data indicate that IL-23 is highly expressed in inflamed mucosa of IBD and plays an important role in the induction of IEL, NK, and T cell activation, proinflammatory cytokine secretion, and Th17 cell differentiation. Targeted therapy directed against IL-23p19 may have a therapeutic role in treatment of IBD.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it