Effect of Age and Sex on Liver Damage Due to Excess Dietary Copper in Fischer 344 Rats
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate the morphologic and biochemical effects of excess dietary copper in young and adult rats of different sex. METHODS: Adult Fischer 344 male and female rats were given a diet containing 1500 ppm copper for 18 weeks. Young male and female rats were fed a similar copper-loaded diet from birth until 16 weeks of age. Age- and sex-matched control rats were fed a normal rodent diet (<10 ppm copper). Serum liver enzyme activity was determined in all rats. Livers were sampled for histology, histochemistry (rhodanine), immunohistochemical detection of metallothionein and copper analysis by atomic absorption spectrophotometry. Hepatic metallothionein and zinc concentrations were measured in adult rats. RESULTS: Excess dietary copper caused substantial liver injury, as evidenced by morphologic changes and increased activity of serum ALT, GGT, and SDH. All copper-loaded rats had significantly (p< 0.05) increased hepatic copper concentrations compared to controls. However, young copper-loaded rats accumulated more hepatic copper, had more severe liver changes, and had higher serum liver enzyme activities than adult rats. Histologic changes in copper-loaded rats consisted of multifocal hepatitis and widespread single-cell necrosis. Cytoplasmic copper was detected histochemically in centroacinar zone 1 (portal) and mid-zone in copper-loaded rats. Immunoreactivity for metallothionein was prominent in necrotic hepatocytes and within inflammatory foci in copper-loaded rats. However, differences in hepatic metallothionein concentrations were not detected between adult copper-loaded and control rats. CONCLUSIONS: Young Fischer 344 rats are more susceptible than adults to copper-induced liver injury.
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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) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".