239 Variation in muscle protein synthesis in growing gilts is partially associated with insulin resistance and sensitivity
Bibliographic record
Abstract
Abstract Pigs with similar body weight (BW), same genetic background and sex vary in protein deposition (PD) overgrowth. We aimed to study metabolic factors influencing PD in 65 kg BW gilts. Gilts were fed ad libitum a diet balanced to maximize PD. Dual X-rays were conducted to estimate body protein mass on d 1 and 21, allowing calculation of PD by difference. On d 23, the gilts were categorized into Low (157 g/d) and High (219 ± 9.97 g/d) PD groups. In each group, eight pigs underwent jugular vein cannulation. After a 48-h recovery period, where they were fed at 90% of the measured feed intake, they were fasted for 8 h. All pigs were then given a 300 g meal at time 0, and blood samples were collected at 10, 15, 20, 30, 40, 50, 60, 75, 90, 120, 150, 178, and 178 min, to study insulin and glucose responses. At 180 min post-meal, a solution of L-13C valine was administered i.v. (18 ape – flooding dose), and liver, duodenum, and longissimus dorsi muscle samples were collected within 5 minutes of slaughter. The fractional synthesis rate (FSR, %/d), absolute synthesis rate (ASR, g/d), ribosomal capacity for protein synthesis (Cs), and the efficiency of protein synthesis (KRNA) based on total RNA concentration in skeletal muscle were calculated. The insulin resistance index (HOMA-B) and insulin sensitivity index (QUICKI) were also determined. The difference between Low and High PD gilts was compared using a F-test. The longissimus dorsi muscle exhibited a 31% greater (P = 0.01) FSR in High compared with Low PD group. No significant differences were observed in the FSR of the jejunum and liver. High PD gilts showed a 55% greater ASR in whole-body muscles (P = 0.003) and 42% greater ASR in the liver (P = 0.04) compared with Low PD gilts, with no difference for the ASR in the jejunum. The KRNA in the longissimus dorsi was 48% greater in High PD gilts (P = 0.01), with no differences in KRNA for the jejunum or liver. Cs did not differ between Low and High PD gilts. The QUICKI index tended to be greater in High PD gilts (P = 0.10). Spearman’s correlation revealed that longissimus dorsi FSR was negatively correlated with the HOMA-B index (r = -0.53; P = 0.04). Increases in the HOMA-B index tended to be associated with greater KRNA (r = -0.49; P = 0.06). These correlations highlight the complex interplay of metabolic and hormonal factors involved in the observed differences in protein synthesis and efficiency in growing gilts. Insulin resistance and sensitivity may play a role in influencing skeletal muscle PD variations.
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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) | 0.002 | 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".