Human Milk Fortification Increases Bnip3 Expression Associated With Intestinal Cell Death In Vitro
Bibliographic record
Abstract
OBJECTIVES: The aim of the present study was to determine the in vitro effect(s) of a bovine-based human breast milk fortifier (HMF) on human intestinal cells. HMF increases the expression of BCL2/adenovirus E1B 19 kDa protein-interacting protein (Bnip3) and cell death; the prostaglandin analogue misoprostol will rescue this effect. METHODS: Cultured intestinal cells were exposed to in vitro-digested human breast milk (BM) ± HMF. Intracellular oxidation, cell damage/cell death, and BNIP3 expression were measured after exposure. RESULTS: In vitro-digested BM + HMF significantly increased intracellular oxidation, cell damage, and cell death in enterocyte cell cultures compared with either saline or BM controls, an effect that was rescued by the prostaglandin analogue, misoprostol. Bnip3 transcript and Bnip3 protein levels were significantly increased in vitro after treatment with BM + HMF. We also provide evidence that transfection of enterocytes with Bnip3 increases cell death, an effect that is rescued by a nonfunctional Bnip3 splice variant. CONCLUSIONS: Our data support the hypothesis that HMF increases intestinal Bnip3 in vitro, and that the gene product triggers cell death. We suggest that misoprostol is a promising therapy, which may reduce intestinal cell death.
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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".