Lactoferrin ameliorates prostaglandin E<sub>2</sub>-mediated inhibition of Na<sup>+</sup>-glucose cotransport in enterocytes
Bibliographic record
Abstract
Various immunoinflammatory cytokines are produced during chronic intestinal inflammation, which inhibits Na(+)-glucose cotransport (SGLT1) in villus cells. Lactoferrin (Lf), abundantly present in colostrum, is a multifunctional glycoprotein that is absorbed by receptor-mediated transcytosis in humans and animals and has been shown to exert anti-inflammatory effects. Therefore, this study aimed to examine whether Lf would prevent PGE2 effect on SGLT1 for glucose absorption in enterocytes. Intestinal epithelial cells (IEC-6) were grown on transwell plates, treated with phlorizin, PGE2, AH6809, and Lf, and 3-O-methyl d-glucopyranose (OMG) uptake was measured in 10 days postconfluent. Na(+)-dependent OMG uptake, phlorizin, and immunoblotting studies established the activity and apical membrane localization of SGLT1 in IEC-6 cells. PGE2 inhibited SGLT1 in a concentration- and time-dependent manner with an inhibitory constant (Ki) of 50.0 nmol/L and that was antagonized by prostanoid receptor inhibitor, AH6809. PGE2 did not alter Na(+)/K(+)-ATPase activity. In contrast, quantitative real-time polymerase chain reaction and Western blot analyses revealed that SGLT1-specific transcripts and protein expression level were decreased 3-fold by PGE2. Furthermore, PGE2 treatment increased intracellular cyclic adenosine monophosphate (cAMP) and Ca(2+) concentrations and decreased SGLT1 expression on the apical membrane, and these effects were ameliorated by Lf. Therefore, we conclude that Lf ameliorates the PGE2 inhibition of SGLT1 most likely via the Ca(2+)- and cAMP-signaling pathways.
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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) | 0.001 | 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) | 0.001 | 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 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".