Systemic and mucosal levels of lactoferrin in very low birth weight infants supplemented with bovine lactoferrin
Bibliographic record
Abstract
Lactoferrin supplementation may help prevent infections in preterm infants, but the efficacy has varied with different doses and products. We assessed the absorption and excretion of bovine lactoferrin (bLF) in 31 infants receiving 100, 200, or 300 mg·kg –1 ·day –1 of enteral bLF for 30 days. bLF and human lactoferrin (hLF) in infant saliva, blood, urine, and stool, as well as expressed (EBM) or donor breast milk (DBM) that were collected (i) before the treatment was initiated, (ii) at study day 22, and (iii) one week after treatment cessation, were measured using ELISA. During treatment, bLF was absorbed from the gastrointestinal tract and detected in plasma, saliva, and urine, as well as excreted in stool. Levels of bLF in the saliva and stool began to decline within 12 h after dosing, and bLF was undetectable in all samples one week after treatment. The concentrations of hLF exceeded those of bLF across sample types and time-points. Infants receiving EBM demonstrated higher levels of hLF in the saliva and stool than those receiving DBM. Neither bLF nor hLF levels varied by patient characteristics, bLF dosage, or infection status. This is the first study demonstrating bLF absorption into the bloodstream and distribution to saliva and urine in preterm infants. Future studies should further explore LF pharmacokinetics because higher and more frequent dosing may improve the clinical benefit of LF supplementation.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".