Resveratrol inhibition of inducible nitric oxide synthase in skeletal muscle involves AMPK but not SIRT1
Bibliographic record
Abstract
The plant-derived polyphenol resveratrol (RSV) modulates life span and metabolism, and it is thought that these effects are largely mediated by activating the deacetylase enzyme SIRT1. However, RSV also activates the cell energy sensor AMP-activated protein kinase (AMPK). We have previously reported that AMPK activators inhibit inducible nitric oxide synthase (iNOS), a key proinflammatory mediator of insulin resistance in endotoxemia and obesity. The aim of this study was to evaluate whether RSV inhibits iNOS induction in insulin target tissues and to determine the role of SIRT1 and AMPK activation in this effect. We found that RSV (40 mg/kg ip) treatment decreased iNOS induction and NO production in skeletal muscle and white adipose tissue, but not in liver, of endotoxin (LPS)-challenged mice. This effect of the polyphenol was recapitulated in vitro, where RSV (10-80 μM) robustly inhibited iNOS protein induction and NO production in cytokine/LPS-treated L6 myocytes and 3T3-L1 adipocytes. However, no effect of RSV was observed on iNOS induction in FAO hepatocytes. Further studies using inhibitors of SIRT1 revealed that the deacetylase enzyme is not involved in RSV action on iNOS. In marked contrast, RSV activates AMPK in L6 myocytes, and blunting its activation using Compound C or RNA interference partly blocked the inhibitory effect of RSV on NO production. These results show that RSV specifically inhibits iNOS induction in muscle through a mechanism involving AMPK but not SIRT1 activation. This anti-inflammatory action of RSV likely contributes to the therapeutic effect of this plant polyphenol.
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 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) | 0.000 | 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 | 0.001 |
| 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".