A145 BREASTFEEDING INCREASES COLONIC INFLAMMATION IN INFANTS BORN FROM HEALTHY MOMS, WHICH EFFECT IS LACKING IN INFANTS BORN FROM MOMS WITH IBD
Bibliographic record
Abstract
Breastfeeding (BF) is recommended for at least 6 months postpartum because of the beneficial components of breast milk. Studies show that there is a healthy inflammatory response (measured by fecal calprotectin (FCP)) in healthy full term breastfed infants. Whether this effect of breastfeeding on infant intestinal inflammation is affected by maternal IBD and IBD therapies is unknown. In this study, we compared the FCP levels in infants born to and breastfed by healthy mothers with those born to and breastfed by IBD mothers. Mothers with IBD (CD or UC) and healthy mothers (HC) were consented to collect their infant’s stool at delivery, post-partum 3 months, and 6 months. FCP was extracted and measured by ELISA. Breastfeeding status was documented as exclusively (EBF) or not exclusively breastfed (non-EBF). IBD medications (no medications, 5-ASA only, thiopurine, biologics) was documented. There were 21 (5 CD, 12 UC, 4 HC) PP3 months stools and 22 (5 CD, 10 UC, 6 HC) PP 6 months stools. Only 11 infants (4 CD, 4 UC, 3 HC) were exclusively breastfed until 6 months. As shown in Figure 1, at 3 months post-partum breastfed non-IBD infants have higher FCP than non-EBF infants or infants from IBD moms, the latter category irrespectively of BF or not. This effect of breastfeeding on infant FCP seems to disappear at 6 months post-partum. At PP 3, this lack of increased FCP in breastfed infants from IBD moms was not affected by oral 5-ASA or biologics, although the numbers are too small to draw definitive conclusions. Infant intestinal inflammation is increased by breastfeeding among healthy infants, but not in IBD infants. Further investigation into the infant’s intestinal inflammation by maternal clinical disease activity, and IBD medications through breast milk are currently in progress. CEGIIR University of Alberta
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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 | 0.001 |
| 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".