The Influence of Dietary Habits and Meat Consumption on Plasma 3‐Methylhistidine—A Potential Marker for Muscle Protein Turnover
Why this work is in the frame
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Bibliographic record
Abstract
SCOPE: 3-Methylhistidine (3-MH) as a potential biomarker for muscle protein turnover is influenced by meat intake but data on the impact of meat on plasma 3-MH are scarce. We determined the association of plasma 3-MH, 1-methylhistidine (1-MH), and creatinine with dietary habits and assessed the impact of a single white meat intervention during a meat-free period. METHODS AND RESULTS: Plasma 3-MH, 1-MH, and creatinine concentrations of healthy young omnivores (n = 19) and vegetarians (n = 16) were analyzed together with data on anthropometry, body composition, grip strength, and nutrition. After baseline measurements omnivores adhered to a meat-free diet for 6 days and received a defined administration of chicken breast on day four. At baseline, omnivores had higher plasma 3-MH and 1-MH concentrations than vegetarians. White meat administration led to a slight increase in plasma 3-MH in omnivores. The elevated 3-MH concentrations significantly declined within 24 h after white meat intake. CONCLUSION: 1-MH concentrations in plasma seem to be suitable to display (white) meat consumption and its influence on 3-MH plasma concentration. 3-MH in plasma may be used as a biomarker for muscle protein turnover if subjects have not consumed meat in the previous 24 h.
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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 | 0.001 | 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 | 0.001 |
| 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 it