Beta-sitosterol upregulated paraoxonase-1 via peroxisome proliferator-activated receptor-γ in irradiated rats
Bibliographic record
Abstract
This study was designed to evaluate the effect of beta-sitosterol (BS) on the peroxisome proliferator-activated receptor gamma (PPAR-γ) gene expression role in the activity of paraoxonase (PON-1) enzyme in oxidative stress status of irradiated rats. Animals were exposed to whole body γ-radiation single dose 6 Gy and received BS dose (40 mg·(kg body mass)−1·day −1, orally). In liver tissue, gene expression of PPAR-γ ligand was determined. Oxidative stress marker (malondialdehyde, MDA) and antioxidant enzyme activities (superoxide dismutase (SOD), catalase (CAT), PON-1, and arylesterase (ARE)) were assayed in serum and liver tissue. Also, serum lipid profile (cholesterol, triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c)) was measured. In irradiated animals that received BS, expression of PPAR-γ ligand increase significantly associated with increase in PON-1 and ARE enzyme activities. Also, the activities of SOD, CAT enzymes, and HDL-c levels display elevation. By contrast, significant decrease in MDA content, cholesterol, TG, and LDL-c levels were revealed after BS administration. Our findings in this study provide the evidence that BS has radio-protective effect via regulating the gene expression of PPAR-γ, causing an increase in PON-1 and ARE enzyme activities. This action of BS is due to its free radical scavenging properties, antioxidant effect, lowering of cholesterol, and PPAR-γ agonist properties.
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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 | 0.001 | 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) | 0.002 | 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".