Rosuvastatin corrects oxidative stress and inflammation induced by LPS to attenuate cardiac injury by inhibiting the NLRP3/TLR4 pathway
Bibliographic record
Abstract
Rosuvastatin has been found to possess antioxidant and anti-inflammatory properties. The aim of the current study was to evaluate whether rosuvastatin was effective in attenuating cardiac injury in lipopolysaccharide (LPS) – challenged mice and H9C2 cells and identify the underlying mechanisms, focusing on the nod-like receptor protein 3 (NLRP3)/toll-like receptor 4 (TLR4) pathway. Cardiac injury, cardiac function, apoptosis, oxidative stress, inflammatory response, and the NLRP3/TLR4 pathway were evaluated in both in vivo and in vitro studies. LPS-induced cardiomyocyte injury was markedly attenuated by rosuvastatin treatment, evidenced by increased cell proliferation of H9C2 cells, rescued cardiac function, and improved morphological changes in mice and reduced lactate dehydrogenase (LDH), creatine kinase MB fraction (CK-MB), and troponin I (cTnI) in serum. Apoptosis was clearly ameliorated in myocardial tissue and H9C2 cells co-treated with rosuvastatin. In addition, after LPS challenge, excessive oxidative stress was present, indicated by increases in malondialdehyde (MDA) content, NADPH activity, and reactive oxygen species (ROS) production and decreased superoxide dismutase (SOD) activity. Rosuvastatin improved all the indicators of oxidative stress, with an effect similar to that of N-acetylcysteine (NAC) (an ROS scavenger). Notably, LPS-exposed H9C2 cells and mice showed significant NLRP3 and TLR4/nuclear factor-κB (NF-κB) pathway activation and inflammatory responses. Administration of rosuvastatin reduced the increases in NLRP3, apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), pro-caspase-1, TLR4, and p65 expression and decreased the tumor necrosis factor α (TNF-α), interleukin 1β (IL-1β), IL-18, and IL-6 contents, with an effect similar to that of MCC950 (an NLRP3 inhibitor). In conclusion, inhibition of the inflammatory response and oxidative stress contributes to cardioprotective effect of rosuvastatin against cardiac injury induced by LPS, and the effect of rosuvastatin was achieved through inactivation of the NF-κB/NLRP3 pathway.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".