Inflammatory bowel disease is a disorder of ganglioside metabolism (959.4)
Bibliographic record
Abstract
AIM To demonstrate that the metabolism of ganglioside is altered in inflammatory bowel disease (IBD). METHODS Sections of intestinal mucosa from terminal ileum and/or colon were obtained from subjects with ulcerative colitis or inflammatory Crohn’s disease undergoing surgical resection for complications related to IBD. Control groups consisted of tissue samples of apparently normal intestinal mucosa from subjects with colorectal cancer and apparently normal intestinal mucosa from subjects with benign adenoma polyposis. Gangliosides of the intestinal mucosa were characterized using LC‐QQQ‐MS and compared among subject groups. Ganglioside catabolism enzymes HEXA and NEU3 were measured in the intestinal mucosa by western blot. RESULTS GM3 was significantly higher (P<0.01) by 2.1 fold in IBD intestine compared to apparently normal intestinal mucosa. IBD intestine exhibited 2.7 fold lower (P<0.001) GD1a content than control intestine. The mean relative expression of HEXA in IBD intestine was increased 1.7‐fold (P<0.08) and the mean relative expression of NEU3 in IBD intestine was increased 8.3‐fold (P< 0.001) compared to normal intestine. CONCLUSION Metabolism of gangliosides is altered in the intestinal mucosa of subjects with IBD. Investigation into utility of dietary ganglioside as a potential treatment of IBD is warranted. Grant Funding Source : Supported by Broad Foundation and CIHR
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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".