Dietary fats altered nephrotoxicity profile of methylmercury in rats
Bibliographic record
Abstract
Weanling male Sprague-Dawley rats were administered semi-purified isocaloric diet containing soy oil (SO), seal oil (SE), docosahexaenoic acid (DHA), fish oil (FO) or lard (LA) for 28 days, and then gavaged with 0, 1 or 3 mg MeHg kg(-1) body weight per day and fed the same diet for 14 days. Serum and 24 h urine samples were collected on the day of necropsy, and analyzed for markers of kidney function and diseases. Kidney slices were analyzed for para-amino-hippurate (PAH) and tetraethylammonium (TEA) uptake, total mercury and MeHg content, and examined for pathological lesions. Total mercury and MeHg contents increased significantly and dose-dependently in all dietary groups. MeHg significantly increased relative kidney weight in all groups, serum creatinine in all except SO group, serum uric acid in the DHA and LA groups, serum Mg in all except the LA group, and urinary protein in the SO group. MeHg significantly decreased serum urea nitrogen in SE, FO and LA groups, urinary creatinine in the DHA group, PAH uptake in all except the SE group, and TEA uptake in all groups. MeHg caused nephrosis in all dietary groups. MeHg also significantly increased neutrophil counts in all except the SE group, decreased serum albumin and triglyceride in all except the DHA group, and increased serum total cholesterol in all groups, suggesting a nephrotic syndrome-like outcome. These results confirmed that kidney tubules are major targets of MeHg nephrotoxicity. Treatment with dietary fats did not prevent, but rather altered the profile of, nephrotoxicity of MeHg in rats.
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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".