Na<sup>+</sup>-K<sup>+</sup>-ATPase α2-gene and skeletal muscle characteristics in response to long-term overfeeding
Bibliographic record
Abstract
The role of Na(+)-K(+)-ATPase alpha2-gene BglII polymorphism in the changes of skeletal muscle metabolic properties after a 100-day overfeeding protocol conducted with 12 pairs of monozygotic twins is reported. The activities of oxoglutarate dehydrogenase (OGDH) and phosphofructokinase (PFK) were determined from muscle biopsies. A larger increase in the total fat mass (127 vs. 61%) (P < 0.05) and low-density lipoprotein cholesterol (20 vs. 0.7%) (P = 0.05) in 8.0/8.0-kb [3.3-kb negative (-); n = 7 pairs] than in 8.0/3.3 + 3.3/3.3-kb [3.3-kb positive (+); n = 5 pairs] subjects was observed. OGDH activity decreased in 3.3-kb(-) (-15%), whereas PFK (+26%) as well as the PFK-to-OGDH ratio (90%) increased. In contrast, among 3.3-kb(+), OGDH increased (+54%) together with a decrease in PFK (-1%) and PFK-to-OGDH ratio (-5%). These changes were significantly different between genotypes (P from <0.05 to 0.01). In conclusion, fat mass, low-density lipoprotein cholesterol, and skeletal muscle glycolytic-to-oxidative enzyme ratio increased more in the alpha2-gene 3.3-kb(-) subjects with overfeeding, suggesting more unfavorable metabolic changes compared with the 3.3-kb(+) subjects.
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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) | 0.000 | 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".