Effect of dietary curcumin and capsaicin on testicular and hepatic oxidant–antioxidant status in rats fed a high-fat diet
Bibliographic record
Abstract
This study investigated the effects of curcumin and capsaicin on testicular and hepatic oxidant-antioxidant status in rats fed a high-fat diet (HFD). Male Sprague-Dawley rats were divided into 5 groups (8 rats per group). The control group was fed a normal control diet (standard laboratory chow), the HFD group was fed HFD (60% of total calories from fat), the HFD+CUR group received HFD supplemented with curcumin (1.5 g curcumin/kg HFD), the HFD+CAP group was given HFD supplemented with capsaicin (0.15 g capsaicin/kg HFD), and the HFD+CUR+CAP group received HFD supplemented with curcumin and capsaicin for 16 weeks. Hepatic and testicular thiobarbituric acid reactive substances (TBARS), reactive oxygen species (ROS), glutathione (GSH) levels, glutathione transferase activity, and Cu-Zn superoxide dismutase, glutathione peroxidase, and catalase protein expression and enzyme activities were measured. Protein expression was determined by Western blotting. GSH levels and antioxidant enzyme activities were measured with colorimetric methods. HFD slightly increased hepatic and testicular oxidative stress parameters. GSH levels did not change between groups. TBARS and ROS levels were significantly reduced in the HFD+CUR+CAP group compared with the HFD group. Liver and testis antioxidant enzyme activities and expression increased significantly with combined capsaicin and curcumin treatment. Curcumin and capsaicin treatment attenuated testicular and hepatic oxidative stress and enhanced the antioxidant defense system. The combination of capsaicin and curcumin with HFD seems to have some remarkable and beneficial effects on testicular oxidative damage in the fatty liver rat model.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.001 | 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".