Bibliographic record
Abstract
PURPOSE OF REVIEW: This review focuses on research from the author's laboratory and that of N.L. Trottier concerning protein and amino acid metabolism during intense lactation, a physiological state characterized by high rates of the net transfer of amino acids from physiological reserves in skeletal muscle to the mammary gland. These studies have broader interest for our understanding of the supply and distribution of amino acids towards key processes. RECENT FINDINGS: The synthesis of milk protein occurs at a distinct anatomical location, such that arterio-venous differences may be employed to identify all amino acid inputs into the mammary gland. These approaches can be used to determine the relative contributions to the mammary amino acid supply of systemic amino acid availability, transport system regulation and blood flow. Milk protein synthesis is partly reliant on the mobilization of endogenously stored protein in skeletal muscle, and our ability to modulate the size of physiological protein reserves and their rate of mobilization in an experimental context can be used to clarify the regulatory events that underlie the access to and eventual depletion of skeletal muscle protein. SUMMARY: Massive rates of milk production are achieved by increased mammary blood flow and amino acid extraction. Muscle protein mobilization is a key resource in the overall amino acid supply, and the absolute size of the protein reserve at parturition is a key factor in supporting lactation. The progressive depletion of muscle may ultimately provide insufficient substrate to support this process.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".