Essential amino acid infusions stimulate mammary expression of eukaryotic initiation factor 2Bε but milk protein yield is not increased during an imbalance
Bibliographic record
Abstract
Essential amino acid (EAA) deficiencies and imbalances were created in lactating cows by using an infusion subtraction protocol to explore effects on milk protein yield and activity state of regulators of mRNA translation in the mammary glands. Six lactating cows on a diet of 11.2% protein were infused abomasally for 5d with saline, 563g/d of a complete EAA mix, or EAA without His, Met, Phe, or Trp in a 6×6 Latin square design. Infusion of complete and imbalanced EAA solutions increased mammalian target of rapamycin (mTOR) signaling in the mammary glands, as evidenced by higher ribosomal S6 kinase 1 (S6K1) phosphorylation compared with saline infusion. Total S6K1 abundance was decreased by imbalanced AA infusions. Except for the mixture lacking Phe, infusion of EAA, whether imbalanced or not, increased abundance of total eukaryotic initiation factor 2Bε (eIF2Bε). A correlation of 0.33 between phosphorylation state of S6K1 and total eIF2Bε abundance suggests that an mTOR-mediated upregulation of eIF2Bε translation occurred. Despite increased mTOR/eIF2Bε signaling, milk protein yields increased only with the complete EAA mixture compared with saline. Low plasma concentrations of His, Met, and Phe during their respective imbalances likely interfered with protein synthesis. Total abundance and phosphorylation state of eukaryotic initiation factor 2α were not responsible for the interference. Further study of eIF2Bε as a regulator of milk protein yield is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".