Toxicological Outcome of Combined Exposure to Potassium Dichromate and Levonorgestrel in the Kidney of Female Rats
Bibliographic record
Abstract
Co-exposure to chromate (VI) compound and oral contraceptives is common in our environment especially among women working in chromate-related industries. Exposure to either chromate (VI) or oral contraceptives is linked with the etiology of several diseases including cancers and renal injury. However, there is paucity of information on the toxic effect of combined co-exposure to both compounds. The present study examines the toxicity of combined exposure to potassium dichromate (PDC) and an oral contraceptive, levonorgestrel in the kidney of female rats. Control animals were fed distilled water, while experimental rats were injected 12 mg/kg body weight of PDC once a week for six weeks and oral daily exposure to 15µg/kg body weight of levonorgestrel either alone or in combination. Absolute and relative kidney weight, renal function, oxidative stress and pathological lesion were assessed in plasma and kidney of control and experimental rats. The PDC and levonorgestrel significantly (p<0.05) increased plasma urea creatinine and malondialdehyde levels in treated-rats, while renal superoxide dismutase and glutathione-S-transferase activities were reduced by both compounds. Moreover, histopathological lesions including necrotizing nephritis was observed in the kidney of PDC-treated rats, while tubular epithelial degeneration and necrosis was observed in levonorgestrel-treated rats. Combined exposure to both compounds aggravated the increase in urea, creatinine and renal damage. Additionally, the antioxidant enzymes were further repressed in the co-treatment group. The study suggests that combined exposure to potassium dichromate and levonorgestrel worsened nephrotoxicity in rats by increasing oxidative stress.
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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 | 0.001 | 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".