PSVIII-12 Comparative characterization of intestinal alkaline phosphatase kinetics in young piglets and human Caco-2 cells
Bibliographic record
Abstract
Abstract This study reports the kinetics of young porcine jejunal alkaline phosphatase (IAP) towards the dephosphorylation of ATP, lipopolysaccharides (LPS) and p-nitrophenyl phosphate (pNPP) at the physiological conditions (pH = 7.4; and at 37 °C) in comparison with the IAP from human Caco-2 cells. The 10-day suckling young porcine jejunal IAP displayed the Km values of 1.26±0.50 mM, 1.35±0.64 mg/mL and 0.290±0.072 mM for the hydrolyses of ATP, LPS and pNPP, respectively; while the respective Km values were 0.030±0.007 mM, 0.66±0.22 mg/mL and 0.033±0.006 mM for the IAP in the Caco-2 cells towards the same set of substrates. In comparison, the Km values of the young porcine jejunal IAP were 2–40 times higher than those of IAP from the human Caco-2 cells. In addition, Pearson correlation analyses showed tight positive correlations (P < 0.001) between IAP activities towards pNPP, ATP and LPS in the piglet and the Caco-2 cells, suggesting that the IAP activity towards pNPP could be used to predict the IAP activities on the physiological substrates of ATP and LPS. Lastly, four AP genes were identified in the genome of Sus scrofa. Three of these porcine AP genes are annotated as intestinal-type alkaline phosphatase (IAP) genes and clustered at the distal end of chromosome 15, namely IAPX1, IAPX2, and IAPX3. The genomic context of APs in the pig genome is highly similar to those in the human genome. We predict that pig IAPX3 (XP_003133777.1) is likely an IAP gene for pigs. Further comparisons in post-translational modification and protein 3-D structure modelling were performed, indicating that the observed differences in kinetic affinity between the young porcine jejunal IAP and the human Caco-2 cell IAP in hydrolyzing ATP, LPS and pNPP might relate to their differences in the coding sequences of the IAP protein, and/or the IAP protein N-glycosylation.
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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) | 0.001 | 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".