Differential metabolic fate of the carbon skeleton and amino-N of [<sup>13</sup>C]alanine and [<sup>15</sup>N]alanine ingested during prolonged exercise
Bibliographic record
Abstract
The decarboxylation/oxidation and the deamination of 13C- and [15N]alanine ingested (1 g/kg or 73.7 +/- 2 g) during prolonged exercise at low workload (180 min at 53 +/- 2% maximal O2 uptake) was measured in six healthy male subjects from V13CO2 at the mouth and [15N]urea excretion in urine and sweat. Over the exercise period, 50.6 +/- 3.5 g of exogenous alanine were oxidized (68.7 +/- 4.5% of the load), providing 10.0 +/- 0.6% of the energy yield vs. 4.8 +/- 0.4, 47.6 +/- 4.3, and 37.4 +/- 4.7% for endogenous proteins, glucose, and lipids, respectively. Alanine could have been oxidized after conversion into glucose in the liver and/or directly in peripheral tissues. In contrast, only 13.0 +/- 3.2 mmol of [(15)N]urea were excreted in urine and sweat (10.6 +/- 0.4 and 2.4 +/- 0.5 mmol, respectively), corresponding to the deamination of 2.3 +/- 0.3 g of exogenous alanine (3.1 +/- 0.4% of the load). These results confirm that the metabolic fate of the carbon skeleton and the amino-N moiety of exogenous alanine ingested during prolonged exercise at low workload are markedly different. The large positive nitrogen balance (8.5 +/- 0.3 g) suggests that in this situation protein synthesis could be increased when a large amount of a single amino acid is ingested.
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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".