Postnatal changes of spleen, kidney and lung protein synthesis rates of fed pigs measured by an intraperitoneal flooding dose of L‐[ring‐2H5]Phe
Bibliographic record
Abstract
This study investigated the postnatal changes of spleen, kidney, and lung protein fractional synthesis rates (FSR) and their correlations with serum levels of hormones (insulin, growth hormone and cortisol), growth factors (IGF‐I and GLP‐2), plasma concentrations of free amino acids (AA) in fed pigs. Thirty‐six purebred Yorkshire gilts were divided into suckling groups at ages of d 1, 4, 6, 12, 20 and one‐week post‐weaning at d 28, respectively, and received an ip injection of a flooding dose of Phe containing L‐[ring‐2H5]Phe (40 molar%) in saline. Serum samples before the tracer injection and plasma, spleen, lung, and kidney samples at 30 min post‐injection were collected for the determinations of tracer Phe enrichments with GC‐MS, plasma concentrations of free AA by HPLC, and hormones and growth factors by RIA. Tracer Phe enrichments in the plasma, spleen, kidney and lung AA free pools were flooded between 23 and 32 molar %. Postnatal FSR showed a quartic pattern of reduction in the spleen and kidney and a qintic decrease in the lung, respectively. Only serum insulin concentrations were positively correlated (P<0.05) with postnatal changes of FSR in the spleen and kidney for the hormones examined. Serum GLP‐2 levels had a negative correlation (P<0.05) with postnatal changes of FSR in spleen. Plasma concentrations of free Ala, Asn, Cit, Gln, His, Leu, Lys, Met, Orn, Phe, Ser, Tau, Tyr and Val were positively correlated (P<0.05), however, Gly (P<0.05) was negatively correlated with postnatal changes of FSR in spleen, kidney or lung. These results suggest an overall curvelinear pattern of postnatal decreases of FSR in pleen, kidney and lung, which are affected by extracellular free AA concentrations as well as GLP‐2 and insulin levels.
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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".