Effects of <i>Spirulina platensis</i> on lipid peroxidation, antioxidant defenses, and tissue damage in kidney of alloxan-induced diabetic rats
Bibliographic record
Abstract
Chronic hyperglycemia in diabetes causes free radicals overproduction, which contributes to the development of diabetic nephropathy. In modern medicine, no satisfactory therapy is available to cure diabetes mellitus. In that context, we investigated the potential therapeutic action of spirulina-enriched diet on renal impairment and oxidative stress in diabetic rats. Diabetes was induced by a single subcutaneous injection of alloxan (120 mg·kg −1 ) in rats. Following alloxan treatment, male Wistar rats were fed daily with 5% spirulina-enriched diet or treated with insulin (0.5 IU·rat −1 ) for 3 weeks. Diabetes was associated with hyperglycemia, increase in renal oxidative parameters (lipid peroxidation, thiobarbituric-acid reactive substances, protein carbonyl and advanced oxidation protein products levels, changes in antioxidant enzyme activities), and nephropathology markers. The renal injury induced by alloxan was confirmed by histological study of the diabetic rat kidney. Treatment with spirulina or insulin significantly ameliorated renal dysfunction by reducing oxidative stress, while rats recovered normal kidney histology. Overall, this study indicates that spirulina is efficient in inhibiting hyperglycemia and oxidative stress induced by diabetes, and suggests that the administration of this alga may be helpful in the prevention of diabetic complications. This amelioration was even more pronounced than that caused by insulin injection.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".