Age, muscle, and gender specific characterization of muscle degeneration in a mouse model of calpainopathy
Bibliographic record
Abstract
Establishing well-described mouse models of hereditary diseases is increasingly important for testing new therapeutic approaches, such as gene replacement therapy. In particular, a detailed description of muscle pathology, especially at early timepoints of the disease, is crucial for determining the optimal timepoint for drug delivery and evaluation of therapeutic success. In this study, we aimed to characterize and quantify the muscle pathology and myofibre morphology of different muscles in a new mouse model for calpainopathy as an example of the heterogenous group of limb girdle muscular dystrophies compared to wildtype controls during the disease. We analysed motor function and muscle tissue of wildtype and Capn3-transgenic mice per gender from 1.5 to 15 months of age. While transgenic mice did not develop restrictions in motor function, tested with grip strength measurement, beam walk and four limb wire hanging test, during this period, gastrocnemius, soleus and psoas muscles showed progressive histopathological and ultrastructural changes. Importantly, we also detected gender-specific differences in general muscle structure and in muscle pathology in the mouse model of calpainopathy. We developed a score to classify pathology of muscles in this mouse model using percentage of myocytes with centralized nuclei to increase objectivity and comparability when using this mouse model.
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 | 0.000 | 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 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".