Bovine lactoferrin in preventing preterm delivery associated with sterile inflammation<sup>1</sup>This article is part of Special Issue entitled Lactoferrin and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
Preterm delivery (PTD) occurs before the 37th week of gestation. Iron deficiency anemia and inflammatory processes either related to infection or sterile inflammatory response represent risk factors for PTD. Bovine lactoferrin (bLf), an emerging important regulator of iron and inflammatory homeostasis, can represent a new therapeutic approach for PTD treatment. Here an open-label cohort and subcohort study is reported. The cohort was designed to assess the effect of bLf oral administration on iron and inflammatory homeostasis in anemic pregnant women. The subcohort including women of the cohort with PTD threat was additionally treated with bLf intravaginal administration. A significant improvement of hematological parameters was observed in the women's cohort together with a consistent decrease of serum interleukin-6 (IL-6) levels. Combined administration of oral and intravaginal bLf to the women's subcohort with PTD threat decreased IL-6 in both serum and cervicovaginal fluids, cervicovaginal prostaglandin F(2α), and suppressed uterine contractility. BLf administration blocked further shortening of cervical length and the increase of fetal fibronectin thus prolonging the length of pregnancy. The deliveries occurred between the 37th and 38th week of gestation. These results provide strong evidence for a role of bLf in PTD treatment, thus extending the therapeutic potential of this multifunctional natural protein.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 teacher head, 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".