Thermoneutral Housing and a Western Diet Combination Exacerbates <scp>Dysferlin‐Deficient</scp> Muscular Dystrophy
Bibliographic record
Abstract
INTRODUCTION/AIMS: Most mouse models of muscular dystrophy (MD) show mild phenotypes, which limits the translatability of experimental therapies to patients. A growing body of evidence suggests that MD is accompanied by metabolic abnormalities that could potentially exacerbate the primary muscle wasting process. Since thermoneutral (TN) housing of mice (~30°C) has been shown to affect many metabolic parameters, particularly when combined with a Western diet (WD), our aim was to determine whether the combination of TN and WD exacerbates muscle wasting in dysferlin-deficient BLAJ mice, a common model of limb-girdle MD type 2b (LGMD2b). METHODS: The 2-mo-old wild-type (WT) and BLAJ mice were housed at TN or room temperature (RT) and fed a WD or regular chow for 9 mo. Ambulatory function, muscle histology, and protein immunoblots of skeletal muscle were assessed. RESULTS: BLAJ mice at RT and fed a chow diet showed normal ambulation function similar to WT mice, whereas 90% of BLAJ mice under WD and TN combination showed ambulatory dysfunction (p < 0.001), and an up to 4.1-fold increase in quadriceps and gastrocnemius fat infiltration. Western blotting revealed decreased autophagy marker microtubules-associated protein 1 light chain 3-B (LC3BII/LC3BI) ratio and up-regulation of protein kinase B/AKT and ribosomal protein S6 phosphorylation, suggesting inefficient cellular debris and protein clearance in TN BLAJ mice fed a WD. Male and female BLAJ mice under TN and WD combination showed heterogenous fibro-fatty infiltrate composition. DISCUSSION: TN and WD combination exacerbates rodent LGMD2b without affecting WT mice. This improves rodent modeling of human MD and helps elucidate how metabolic abnormalities may play a causal role in muscle wasting.
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".