Resveratrol Improves Insulin Resistance Hyperglycemia and Hepatosteatosis But Not Hypertriglyceridemia, Inflammation, and Life Span in a Mouse Model for Werner Syndrome
Bibliographic record
Abstract
Werner syndrome is a premature aging disorder caused by mutations in a RecQ-like DNA helicase. Mice lacking the helicase domain of the WRN homologue exhibit many features of Werner syndrome, including a pro-oxidant status and a shorter mean life span. Here, we show that resveratrol supplementation improved the hyperglycemia and the insulin resistance phenotype in these Wrn mutant mice. In addition, resveratrol reversed liver steatosis, lipid peroxidaton, and the defenestration phenotypes observed in such mice. Resveratrol, however, did not improve the hypertriglyceridemia, inflammatory stress, nor extend the mean life span of these mutant mice. Microarray and biologic pathway enrichment analyses on liver tissues revealed that resveratrol mainly decreased lipidogenesis and increased genes involved in the insulin signaling pathway and the glutathione metabolism in Wrn mutant mice. Finally, resveratrol-treated mutant mice exhibited an increase in the frequency of lymphoma and of several solid tumors. These results indicate that resveratrol supplementation might exert at least metabolic benefits for Werner syndrome patients.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".