427 Impact of late gestation slow-release nitrogen-enriched diets on energy metabolism in calf skeletal muscle: A proteomic and transcriptomic approach
Bibliographic record
Abstract
Abstract The current study aimed to determine the enriched biological processes, through proteomic and transcriptomic data, associated with maternal slow-release nitrogen diets received during late gestation and their effects on the skeletal muscle of offspring. From d 180 to d 268 of gestation, a total of 16 pregnant Brahman cows were divided into two groups: a control (CON, n = 12) low crude protein (CP) basal diet (6% of CP, ad libitum) plus mineral mixture (130 gּ cow-1ּ d-1), or the CON treatment supplemented with a slow-released N (SRN, n = 9) based protein concentrate supplement [40% CP, fed 2 g/kg of body weight (BW)/d in the morning) composed by corn, soybean meal, urea and a SRN source (Timafeed Boost, Roullier Group, Saint-Malo, France). Muscle biopsies were performed on d 45 of age in calves for RNA sequencing (RNA-seq) and proteomic (HPLC-MS/MS) analyses. The quality control of RNAseq raw data was assessed using FASTQc software, with low-quality reads trimmed by Trimmomatic. Reads were mapped against the Bos taurus reference genome using STAR. Differentially expressed (DE) genes and isoforms, significant at an adjusted P-value ≤ 0.05, were identified using the limma package and Cuffdiff tool, respectively, in the R environment. Proteomic data was processed in MaxQuant against the Bos taurus reference proteome, with statistical analysis performed using the MSqRob package in R. Network analyses identified significant biological processes (adjusted P-value ≤ 0.05) among differentially abundant proteins (DAPs). Notably, while the experimental treatment did not affect transcript abundance, protein-level differences were observed. Enriched biological processes in SRN group skeletal muscle of calves included acetyl-CoA biosynthesis from pyruvate, mitochondrial respiratory chain complex assembly, regulation of calcium ion transmembrane transport, and several others related to energy and nitrogen metabolism. Protein-protein interaction network analyses revealed key processes such as ATP and glucose metabolism, tricarboxylic acid cycle, and sarcomere organization. Overall, our findings underscore the beneficial impact of slow-release nitrogen-enriched diets during late gestation on energy metabolism in calf skeletal muscle.
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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) | 0.001 | 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".