Suppressive Effects of Arriheuk Wheat Sprout Extract on Muscle Atrophy in Dexamethasone-Induced C2C12 Myotubes and a Mouse Model
Bibliographic record
Abstract
Skeletal muscle atrophy refers to the loss of muscle strength and mass due to decreased protein synthesis or increased protein degradation. Various conditions can cause muscle atrophy, including aging, heart disease, chronic illness, obstructive pulmonary disease, kidney failure, diabetes, AIDS, cancer, sepsis, and steroid use. Various natural materials have been studied for the prevention of muscle atrophy. In this study, we found that extracts from the sprouts of purple wheat, Arriheuk, prevented muscle atrophy in vitro and in vivo . Arriheuk wheat sprouts extract inhibited the expression of muscle protein breakdown factors, which were increased by dexamethasone, and improved muscle strength. In C2C12 myotubes, Arriheuk wheat sprout extract (ARE) protected against dexamethasone-induced muscle atrophy by potentiating Akt/mammalian target of rapamycin and AMP-activated protein kinase (AMPK)/forkhead box O3 (AMPK/Foxo3) signaling and inhibiting the expression of Atrogin-1, muscle RING-finger protein-1 (MuRF1), and Myostatin. In addition, the administration of ARE in an animal model of muscle atrophy induced by dexamethasone prevented myocardial and muscle strength loss by regulating the expression of muscle atrophy-related factors by affecting AMPK/Foxo3 signaling. Taken together, these results suggest that Arriheuk wheat sprouts extract effectively alleviates muscle atrophy by regulating the synthesis and breakdown of muscle proteins.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".