Biochemical and molecular impacts of lactoferrin on small intestinal growth and development during early life<sup>1</sup>This article is part of a Special Issue entitled Lactoferrin and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Postnatal modeling of the intestinal epithelium has long-term impacts on the healthy development of infants and relies largely on nutrient composition of the diet. Lactoferrin (Lf) is among the various human milk trophic factors that facilitate the infant intestinal adaptation. Hydrolysis of Lf is minimal at the prevailing postprandial pH of infants, and Lf may therefore have greater biological potential in infants than in adults. Lf bidirectionally stimulates concentration-dependent proliferation and differentiation of small intestinal epithelial cells, and therefore affects small intestinal mass, length, and epithelial digestive enzyme expression. A 105 kDa Lf receptor (LfR) specifically mediates the uptake of Lf into enterocytes and crypt cells. Mechanistically, the complex of Lf and LfR is internalized through clathrin-mediated endocytosis; both iron-free apo-Lf and iron-saturated holo-Lf activate the PI3K/Akt pathway, whereas only apo-Lf triggers ERK1/2 signaling. Lf enters the nucleus, where it can stimulate thymidine incorporation into crypt cells, regulating transcription of genes such as TGF-β1. In the fetus, the plasma membrane LfR is at the highest abundance in the small intestine, and the receptor gene is tightly controlled at multiple levels. Aspecific microRNA, miR-584, is involved in the posttranscriptional regulation of LfR, and in the human LfR DNA promoter, 2 Sp1 binding sites have been characterized functionally. Finally, cell proliferation and global gene expression reveal that native bovine Lf can perform biological activities similar to those exerted by human Lf in postnatal small intestinal development.
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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".