PSI-28 Genomic determinants of alkaline phosphatase catalytic affinity along the intestinal longitudinal axis of weanling pigs.
Bibliographic record
Abstract
Alkaline phosphatases (AP) play a pivotal role in protecting intestinal health against pathogenic bacterial toxins through dephosphorylation of endotoxin LPS lipid moiety and other emblematic members of pathogen-associated molecular patterns such as ATP. This study was conducted to elucidate the genomic determinants of alkaline phosphatase catalytic affinity along the intestinal longitudinal axis of weanling pigs. Herein, jejunal, ileal, cecal and colonic segmental samples were collected from 8 weanling barrows fed a corn and SBM-based diet, with an average final BW of 10.95 (SE=0.68) kg. These gut tissues were homogenized for AP kinetics characterization using p-nitrophenyl phosphate as a substrate at pH 7.4 and 37 ºC for 30 min (parameter estimates±SE, P2=0.33 – 0.69, n=40). The AP affinity (Km, µM) in the jejunum (27.40 ± 9.66) and the colon (30.01 ± 12.42) was lower (PVmax, nmol·mg proteinPSus scrofa Ver. 11.1) further identified 5 AP genes, including 3 intestinal-like AP isomer genes located in the chromosome 15, and 2 tissue-non-specific AP isomer genes in the chromosome 6, resulting in 5 AP isozymes that are all likely expressed in the intestine. The predicted 3-D protein structure models for the 5 AP isomers have revealed that although the catalytic site architectures, including the heavy metal-binding sites, are highly conserved, the mapped N-glycosylation sites are very variable among the 5 AP isomers. Thus, differences in these AP isomer distribution and the different N-glycosylation sites are likely the major genomic determinants affecting the alkaline phosphatase catalytic affinity along the intestinal longitudinal axis and gut health status of weanling pigs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".