Dysregulation of Some Skeletal Muscle miRNAs in High-Fat Diet-Induced Obesity: Implications for Metabolic Disorders.
Bibliographic record
Abstract
Skeletal muscle-adipose tissue crosstalk is crucial for developing therapeutic strategies for various metabolic disorders. While obesity is known to disrupt microRNA (miRNA) expression profiles in skeletal muscle, a comprehensive understanding of this phenomenon remains elusive. Therefore, our study aims to investigate the impact of high-fat diet (HFD)-induced obesity on miRNA dysregulation within skeletal muscle tissue at distinct time points. In HFD model, rats received HFD for 2, 4, 6, 8, or 10 weeks. Body weight was determined at 2, 4, 6, 8, and 10 weeks. At the end of each interval, group of animals (n = 8) were sacrificed and skeletal muscle tissues were harvested to assess miRNAs expression levels. HFD administration for 8 and 10 weeks resulted in marked weight changes in comparison to control group. There were not much significant changes in body weight seen in low durations of HFD feeding. Alterations in miR130a, miR30a-5p, miR133a-5p, miR193a-5p, and miR125a-5p expression levels were observed at different time point relative to control rats. While miR let-7 and miR107-5p were upregulated at all-time points compared to control animals. Thus, skeletal muscle miRNA dysregulation likely plays a role in HFD-induced obesity.
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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".