Cloning of porcine proglucagon and effect of commensal bacteria on relative gene expression in the intestine of gnotobiotic pigs
Bibliographic record
Abstract
Porcine proglucagon mRNA sequence was determined by designing primers based on homologous regions in bovine and human genes. The porcine sequence shared 90% nucleotide identity with human proglucagon; however, predicted Ser159Arg and Leu160Lys substitutions were observed. This newly identified sequence suggests that the intestinal trophic peptide, glucagon-like peptide 2 (GLP-2), is actually 35 amino acids in the pig rather than 33 amino acids, as previously reported. To determine the effect of different bacteria on intestinal proglucagon gene expression, 16 piglets were reared in gnotobiotic isolators maintained germ-free (GF), monoassociated with Lactobacillus fermentum (LF) or Escherichia coli (EC), or conventionalized (CV) in two separate experiments for 13 d. Cultured cecal contents confirmed microbial status with the exception of GF pigs in exp. 2, which were contaminated with Staphylococcus epidermidis (SE). Mean fold differences in ileal proglucagon expression (CV set to 1) were 1.0ab, 1.6a, 0.7b, 1.0ab for GF, LF, EC and CV in exp. 1 and 4.0a, 2.0b, 0.6c, 1.0c for SE, LF, EC and CV groups in exp. 2, respectively. This study, for the first time, accurately describes the full nucleotide sequence for porcine proglucagon, and shows that proglucagon expression is differentially regulated by bacteria colonizing intestine of neonatal piglets. Key words: Proglucagon, gnotobiotic, pig, gene expression, intestine
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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 | 0.001 |
| 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".