Insulin‐resistant female rat skeletal muscles display diacylglycerol‐mediated protein kinase C activation and inflammation without ceramide accumulation
Bibliographic record
Abstract
phosphorylation and glycogen synthesis, whereas rates of fatty acid oxidation and basal lactate production were significantly elevated in soleus (Sol), extensor digitorum longus (EDL) and epitrochlearis (Epit) muscles. Insulin resistance was accompanied by increases in triacylglycerol (TAG) and DAG contents in Sol and EDL, whereas in Epit muscles only TAG content and markers of inflammation were associated with HFS diet-induced insulin resistance. Analysis of membrane-bound/cytoplasmic PKC fractions revealed that the HFS diet promoted activation/translocation of PKCδ and θ isoforms in Sol, EDL and Epit muscles. However, none of these muscles displayed alterations in ceramide content in response to HFS feeding. This could be explained by a significant increase in Dgat2 mRNA expression in Sol, EDL and Epit muscles, which likely diverted most of the intramyocellular acyl-CoAs toward TAG synthesis instead of ceramides. Overall, this study helps elucidate the molecular mechanisms underlying insulin resistance caused by diet-induced obesity in female skeletal muscles with distinct fibre type compositions. KEY POINTS: Feeding female Wistar rats a high-fat sucrose-enriched diet (HFS) led to diacylglycerol (DAG)-induced PKC activation and insulin resistance in oxidative and glycolytic skeletal muscles. HFS diet-induced toll-like receptor 4 (Tlr4) expression did not lead to increased ceramide content in female skeletal muscles. In highly glycolytic female muscles, elevated TAG content and markers of inflammation underlay HFS diet-induced insulin resistance. The HFS diet suppressed glucose oxidation and increased lactate production in oxidative and glycolytic female muscles. Increased Dgat2 mRNA expression likely diverted most of the intramyocellular acyl-CoAs toward TAG synthesis and prevented ceramide formation in skeletal muscles of HFS-fed female rats.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".