OP- 14 ENHANCED MUSCLE MASS MITIGATES MASLD IN MYOSTATIN KNOCKOUT MICE WITHOUT IMPACTING EXERCISE PERFORMANCE
Bibliographic record
Abstract
Conflict of interest: No Introduction and Objectives: Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is linked to sarcopenia and exacerbated by obesity. Individuals with higher relative skeletal muscle mass are protected against MASLD or more likely to see its resolution, regardless of demographic and health-related factors. This study examines the effects of muscle mass enhancement, independent of exercise, on MASLD progression using myostatin knockout (Mstn-KO) mice, which are genetically modified to exhibit increased muscle mass due to myostatin deficiency. Patients / Materials and Methods: 11-week-old Mstn-KO mice and their wild-type counterparts were fed a Western diet (WD) for 24 weeks to induce MASLD. Parameters assessed included liver steatosis through histological analysis, muscle mass via MRI and histological cross-sectional area, exercise performance through treadmill tests, and muscle strength measured by electrophysiology. Results and Discussion: Mstn-KO mice showed significantly reduced liver steatosis (-20%) and increased muscle mass (+30%) compared to wild-type controls. Additionally, liver pro-inflammatory cytokines such as IL-1β and TNF-α were decreased in Mstn-KO mice, along with lower expression of lipogenesis-related genes, indicating a protective effect against MASLD progression. Histological assessments showed less hepatic lipid accumulation and inflammation in Mstn-KO mice, correlating with decreased myosteatosis and an enhanced cross-sectional area of muscle fibers. Muscle mass was measured by bioimpedance analysis, and paravertebral muscle area was evaluated using MRI. Electrophysiological measures indicated increased tetanic strength in Mstn-KO mice. Despite these physiological improvements, treadmill test results did not show significant differences in exercise performance between Mstn-KO and wild-type groups, suggesting that muscle mass improvement did not translate into enhanced exercise capacity. These results indicate that Mstn-KO mice are protected against muscle atrophy and MASLD progression. Conclusions: Our findings suggest that increased muscle mass, independent of exercise performance, can significantly ameliorate MASLD histology. Mstn-KO mice serve as a valuable model for exploring muscle-liver crosstalk in liver diseases, indicating potential treatment pathways that do not rely on exercise enhancement.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".