PSVI-4 Serum Metabolomic Characterization of Birth Weight and Neonatal Nutrient Restriction on Piglet Growth and Development
Bibliographic record
Abstract
Abstract The objective was to characterize developmental differences in low birth weight (LBW) and normal birth weight (NBW) piglets with or without nutrient restriction using serum metabolomic profile analysis. After farrowing, 112 piglets were selected as LBW (1.22 ± 0.28 kg) or NBW (1.70 ± 0.27 kg) and were categorized to receive normal nutrition (NN) or restricted nutrition (RN - 6 h/day no suckling) until d 28 when the pigs were weaned onto a common diet until d 56. Blood samples were taken on d 28 and d 56 (n=8 pigs/treatment) and were analyzed using quantitative metabolomics via a combination of direct injection mass spectrometry with a reverse-phase LC-MS/MS custom assay (TMIC prime). Data were normalized using logarithmic transformation and auto-scaling. Partial least squares discriminant analysis (PLS-DA) was carried out to further explore the differential metabolites among the treatments (metaboanalyst.ca) with an integrated enrichment and pathway topography analysis. The results suggest that at d 28, LBW piglets had decreased metabolites associated with fatty acid oxidation, glycolysis and TCA cycle metabolites, and essential amino acids such as valine, leucine, arginine. These indicate a decrease utilization of gluconeogenic, and TCA cycle pathways compared with the NBW group. On d 56, LBW piglets had increased utilization of fatty acids, exhibited by increased production of serum acetoacetate, B-hydroxybutyrate, glycerol, compared with NBW. Additionally, the LBW piglets had decreased glucose utilization, pyruvate, succinate, citrate, a-ketoglutaric acid, and lactate compared with the NBW piglets. Due to low utilization of glycolysis and the TCA cycle, associated amino acids were less in LBW piglets, except for a increased glycerol which may indicate impairments in glucose tolerance. In summary, LBW piglets appear to have more metabolic deficiencies in early life, which is not resolved with nutrition in early life, but may be responsive to a tailored nutritional intervention post-weaning.
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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 | 0.001 | 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".