Hemopexin and HO-1 induction during acute colitis in mice is dependent on interleukin-22
Bibliographic record
Abstract
Introduction Inflammatory bowel disease (IBD) is a chronic, relapsing inflammatory disorder of the gastrointestinal tract that frequently requires long-term immunosuppressive therapy, which increases the risk of infections and other complications. During active disease, intestinal bleeding is common and leads to the release of free luminal heme, a pro-inflammatory molecule that can disrupt mucosal integrity, fuel microbial dysbiosis, and amplify inflammation. Interleukin-22 (IL-22) plays a protective role in the gut by promoting epithelial barrier integrity and wound healing. More recently, IL-22 has been shown to induce hemopexin, a heme scavenger protein that limits heme availability and suppresses bacterial growth during systemic infections. Methods Here we investigate the protective role of IL-22 and hemopexin in the context of colitis using the dextran sodium sulphate (DSS) acute colitis model in mice. Wild-type (Wt) and Il22ra1-/- mice were used to evaluate the effects of exogenous hemopexin and hemin treatments on colitis severity. Results IL-22 signaling was crucial for the induction of hemopexin in the colon, as Il22ra1-/- mice exhibited limited hemopexin induction and more severe colitis, which could be reversed by recombinant hemopexin administration. Additionally, hemin treatment, known to upregulate heme oxygenase-1 (HO-1), failed to show full protective effects in Il22ra1-/- mice, suggesting that IL-22 signaling contributes to the anti-inflammatory and antioxidant effects of hemin by inducing hemopexin and HO-1. Discussion These findings reveal a critical protective role for IL-22 by increasing the amount of hemopexin and HO-1 production in the colon, which could be part of a protective mechanism that mitigates DSS-induced colonic inflammation. Given its epithelial-specific and immunomodulatory activity, IL-22 represents a promising therapeutic approach for IBD. Furthermore, hemopexin itself may serve as an adjunct therapy during active disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".