Antioxidant Properties and Safety Evaluation of Curcumin (CurcuWIN <sup>TM</sup> )
Bibliographic record
Abstract
Curcumin (CurcuWIN TM ) a polyphenolic compound isolated from Curcuma longa L. and has a long history of use in Indian medicine. The curcumin formulation(CurcuWIN TM ) is a combination of hydrophilic carrier, cellulosic derivatives and natural antioxidants significantly increases curcuminoid appearance in the blood (46 fold increase over other forms). CurcuWIN TM demonstrated antidepressant, antioxidant and anti‐inflammatory properties. Twenty‐eight (28) male Wistar rats (age: 8 Wk, weight: 180 ± 20 g) were divided into four treatment groups (i) control [no Ex, Group I (C)] (ii) C + Cur [no Ex, Group II] (iii) C + Ex [Group III] and (iv) C + Ex+ Cur [Group IV]. Cur [100 mg/ kg, contains approximately 20 mg of curcuminoids] was administered daily as an oral supplement per d for 6 weeks. Safety end points including liver, heart and kidney functions were measured for curcumin (CurcuWIN TM ) treated groups and compared with control. Tissues such as lung, kidney, spleen, heart, pancreas, small and large intestines, stomach, testes, skeletal muscle and skin were observed for micro and macroscopic changes during the treatment period. No treatment related clinical signs and mortalities were observed. Similarly, no treatment related changes in liver and kidney functions, body weight, feed consumption; organ weights, no gross lesions and no changes in histopathology were observed. Muscle MDA was significantly decreased; SOD, GPx and GSH were significantly improved in curcumin treated groups. Therefore, it is concluded that curcumin (CurcuWIN TM ) is safe and has antioxidant 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) | 0.000 | 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 | 0.000 |
| 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".