Effects of pregnancy status, individual animal and age of pigs on plasma metabolome (643.4)
Bibliographic record
Abstract
The objective was to assess the metabolome of reproducing pigs. The effect of age and individual pigs was studied in non‐pregnant vs. pregnant pigs, and in early (EG) vs. late pregnancy (LG). The effect of stage of pregnancy was studied in adolescent (parity 2) vs. adult pigs (parity 4). The metabolome of 331 plasma samples from 19 sows was analyzed by nuclear magnetic resonance, gas chromatography‐mass spectroscopy (MS) and direct injection MS. Data were evaluated using partial least square‐discriminant analysis in www.metaboanalyst.ca . Parity affected (P=0.001) the metabolome in EG and LG but not at maintenance. There were no common features for EG and LG within parity, i.e. no metabolites changed with age of pig in both EG and LG. In EG, phospholipids were important features, in LG amino acids, urea and fatty acids. The metabolome differed among individual pigs in EG and LG (P<0.001) but not at maintenance. Aspartate was the only common feature in maintenance and at both stages of pregnancy, and was greater (P=0.039) in LG than EG. Among pigs, the majority of important features in EG were (glycero‐) phospholipids and fatty acids in LG. The stage of pregnancy affected the metabolome in parity 2 and 4 (P<0.01) with palmitic and linoleic acid and galactose common important features. The increase of palmitic and linoleic acid in LG may indicate lipid mobilization due to the energy deficit of pigs in LG. The greatest impact on the metabolome was the stage of pregnancy, individual animals and the maturity of pigs. These physical characteristics need consideration when assessing the metabolome of reproducing pigs. Grant Funding Source : Alberta Livestock and Meat Agency
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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) | 0.002 | 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".