Muscle protection during hibernation of Daurian ground squirrels (<i>Spermophilus dauricus</i>): role of <i>atrogin-1</i>, <i>MuRF1</i>, and fiber-type transition
Bibliographic record
Abstract
We investigated the mechanism of protection from skeletal muscle atrophy in the hind limb extensor digitorum longus (EDL) muscle of hibernating Daurian ground squirrels (Spermophilus dauricus Brandt, 1843). The effects of unrestrained hibernation and 14 day hind limb unloading (HLU) on EDL were studied in three seasons (summer, autumn, and winter). Atrogin-1 and MuRF1 mRNA skeletal muscle expression, wet muscle mass, and muscle to body mass ratios were unchanged during hibernation in all three seasons. EDL mass measurements decreased following HLU and atrogin-1 and MuRF1 mRNA expression increased. In summer, atrogin-1 and MuRF1 mRNA expression increased by 85% and 75%, respectively; in autumn, by 95% and 69%, respectively; and in winter, by 91% and 65%, respectively (P < 0.05). In the HLU group, microscopic skeletal muscle changes were present, including a reduction in the percentage of type-I skeletal muscle fibers. Fat storage in Daurian ground squirrels and a shorter photoperiod during hibernation did not affect the protective mechanisms that prevented skeletal muscle atrophy. The results of this study suggest that the stable expression of atrogin-1 and MuRF1 and the transition from fast glycolytic fibers to slow oxidative fibers are associated with a lack of skeletal muscle atrophy in the hibernating Daurian ground squirrel.
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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) | 0.000 | 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 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".