A205 NON-POLAR HELMINTH-DERIVED METABOLITES MODULATES INNATE IMMUNE CELL RESPONSE AND PROTECTS MICE FROM EXPERIMENTAL COLITIS
Bibliographic record
Abstract
Abstract Background The hygiene hypothesis postulates that the lack of exposure to helminth parasites would contribute to the development of the auto-inflammatory disease. There has been a significant increase in patients with inflammatory bowel disease (IBD) in North America. The previous study showed that infection with gastrointestinal helminth parasitedownregulated inflammatory pathways in several gut inflammation models. Given the known risks of live helminth infection, the therapy should direct towards helminth-derived properties. Aims To determine if helminth-derived metabolites treated mice are protected from DSS-induced colitis. Methods Preliminary, our screening reveled that non-polar fractions of 4 distinct helminth modulate LPS-induced inflammatory cytokines in vitro. 3% DSS or water was given to C57BL/6 mice for 5 days, followed by 4 days of a recovery period. The mice were treated intraperitoneal injection with non-polar helminth-derived metabolites (NPHM) on days 5, 6, and 7. Inflammation was assessed by disease activity,histopathology and cytokine mRNA expression in colons. The effect of NPHM on neutrophil chemotaxis was assess inin vitroand in vivo. Results The disease activity and histopathology score were significantly lower in DSS treated mice received NPHM. Also, NPHM treatment resulted in a decrease of an inflammatory cytokine such as TNF-α mRNA expression in the colon of mice with DSS-induced colitis. Mechanistically, NPHM reduced neutrophil chemotaxis. Conclusions NPHM treatment protects against DSS-induced colitis and modulate neutrophil response, which supports helminth therapy for IBD. Funding Agencies Supported by Hashimoto Municipal Hospital scholarship to TA and an NSERC Discovery grant to Fernando Lopes.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".