Heat therapy preserves myofibre size and <scp>SERCA</scp>‐mediated Ca<sup>2+</sup> uptake in the mouse soleus after tenotomy surgery
Bibliographic record
Abstract
Abstract Heat therapy (HT) has been shown to induce physiological adaptations in muscle, including a reduction in the severity of muscle atrophy resulting from unloading. The muscle atrophy caused by unloading can be partially attributed to the dysregulation of Ca 2+ in the muscle cell, which can activate calpain‐mediated proteolysis. The sarco(endo)plasmic reticulum Ca 2+ ‐ATPase (SERCA) is a primary regulator of Ca 2+ in muscle, and SERCA dysfunction has been repeatedly demonstrated in various models of muscle unloading. Heat shock protein 70 (HSP70) is a heat‐inducible chaperone protein that binds to SERCA and protects against its dysfunction. While previous research has shown HT to upregulate HSP70 in rodent muscle, even in the unloaded state, the effects of HT on SERCA function in rodent skeletal muscle under these conditions remain unknown. Here, we characterized the effects of 4 weeks of HT on soleus muscle size, HSP70 expression, SERCA function, and maximal calpain activity in male C57BL/6J mice subjected to muscle unloading through tenotomy. Four weeks of HT preserved the cross‐sectional area of soleus myofibres following tenotomy, while also upregulating HSP70, maintaining SERCA‐mediated Ca 2+ uptake, and reducing maximal calpain activity. Therefore, our research offers new insights into the advantages of HT for muscle health and physiology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".