A202 INVESTIGATION OF THE DIRECT EFFECT OF HEMIN-HEMOPEXIN AND HAPTOGLOBIN STIMULATION IN INFLAMMATORY BOWEL DISEASE
Bibliographic record
Abstract
Abstract Background Inflammatory bowel disease (IBD) is a global health issue defined by persistent intestinal epithelial inflammation resulting in bleeding, and it is one of the major risk factors of colorectal cancer (CRC). Hemin is an activator of heme-oxygenase and has anti-inflammatory, cytoprotective, and antiapoptotic properties by stimulating hemopexin and haptoglobin production. Hemopexin and haptoglobin are scavenging proteins with high affinity for hemin and hemoglobin, and are activated by interleukin (IL)-22. Purpose To evaluate the protective role of hemin through the stimulation of hemopexin and haptoglobin in experimental acute colitis. Method Mice were preconditioned with hemin by intraperitoneal injection with 5mg/kg body weight of hemin for three days while control mice were treated with PBS. Colitis was induced by giving 2.5-3% dextran sulfate sodium (DSS) in drinking water for 12 days. The disease activity index (DAI) was determined by daily monitoring of body weight, fecal bleeding and stool consistency. At the end of the experiment, liver, feces, serum and colon samples were harvested for the evaluation of fecal levels of hemopexin, fecal haptoglobin, IL-22, IL-22BP, IL-6 and TNF-α. Fecal microbiota composition will be determined using 16S rRNA sequencing. Result(s) We found that hemin treatment resulted in the presence of hemopexin and haptoglobin in fecal samples, where they may exert a protective role and influence the growth of pathobionts able to acquire iron using heme and hemoglobin as sources. Conclusion(s) The findings from this study will contribute to the understanding of the possible protective role of hemopexin and haptoglobin in ulcerative colitis. Please acknowledge all funding agencies by checking the applicable boxes below CIHR Disclosure of Interest None Declared
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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 | 0.000 |
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".