Gangliosides Protect Bowel in an Infant Model of Necrotizing Enterocolitis by Suppressing Proinflammatory Signals
Bibliographic record
Abstract
OBJECTIVES: Necrotizing enterocolitis (NEC) has high morbidity in premature infants. Hypoxia-ischemia, infection, and enteral feeding are risk factors associated with NEC, whereas feeding human milk is protective. Vasoactive and inflammatory mediators in NEC remain elusive. Gangliosides are found in human milk and enterocyte membranes. An infant bowel model of NEC was developed to test the hypothesis that gangliosides modulate the inflammatory response to infection and hypoxia. PATIENTS AND METHODS: Viable, noninflamed bowel was obtained from 9 infants between 26 and 40 weeks' gestational age. Infant bowel was treated in culture with Escherichia coli lipopolysaccharide (LPS) and hypoxia in the presence or absence of preexposure to gangliosides. Bowel necrosis and production of nitric oxide, endothelin-1, serotonin, eicosanoids, hydrogen peroxide, and proinflammatory cytokines were measured. RESULTS: Ganglioside preexposure reduced bowel necrosis and endothelin-1 production in response to LPS. Gangliosides suppressed infant bowel production of nitric oxide, leukotriene B4, prostaglandin E2, hydrogen peroxide, interleukin-1beta, interleukin-6, and interleukin-8 in response to LPS exposure and hypoxia. CONCLUSIONS: A bowel protective effect of gangliosides is indicated by modulation of vasoactive mediators and proinflammatory signal suppression.
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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".