A Phytochemical Approach to Experimental Metabolic Syndrome-Associated Renal Damage and Oxidative Stress
Bibliographic record
Abstract
The aim of this study was to evaluate the effect of DTS-phytocompound on oxidant-antioxidant balance and protein damage in the kidneys of rats administered high doses of fructose. Adult male Wistar rats were divided into four groups. Group A received a control diet, whereas groups B and C were fed a high-fructose diet (60 g/100 g), the latter with additional DTS (50 mg/kg per day) for 60 days. Lipo- and nitro-peroxidation together with α-smooth muscle actin (α-SMA) expression in the glomerular and interstitial tissue of the kidneys were measured after 60 days. Fructose-fed rats showed significantly higher lipoperoxidation, 2,4-dinitrophenol and 3-nitrotyrosine protein adducts, and upregulation of α-SMA in the kidney. DTS significantly decreased such redox unbalance in renal tissue, while partially downregulating α-SMA (p<0.01). These data suggest the potential clinical benefit of DTS in protecting the kidneys from metabolic syndrome-associated changes; gender-related analysis is under way.
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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) | 0.003 | 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".