Cadmium and Lead Toxicity, Modulating Roles of Age and Trace Metals on Wistar Rat Cortical Cells
Bibliographic record
Abstract
The role of age and concomitant exposure to trace elements on Wistar rats was investigated in this study. Fifteen 12 weeks old rats divided into groups A, B and C, and fifteen 36 weeks old rats divided into groups D, E and F were acclimatised for 2 weeks. Groups A and D served as the control groups and were administered distilled water. Groups B and E were administered 1 mL each of 5 ppm, while groups C and F were administered 1 mL each of 10 ppm of lead, cadmium, copper and zinc solutions daily for 1 week. Rats were sacrificed by cervical dislocation and the harvested cerebrum was digested in HNO3 and HClO4. Quantification of metals was done using Flame Atomic Absorption Spectrophotometer. A 5 µm thick paraffin section of the cerebrum obtained at the level of the optic chiasma was stained with H&E and evaluated. Zinc concentration was markedly reduced while cadmium and lead concentrations were increased in both experimental groups across the age groups in a dose-dependent fashion. Copper concentration was reduced in rats with 5 ppm exposure while in those with 10 ppm exposure it was similar to the control. Pyknotic glial cells were more and widespread in the younger rats but few and restricted to the mid-cortical region in older rats. Early neuronal necrosis was widespread in older rat group but restricted to internal granular layer in young rats. Central neuronal chromatolysis was noted in both groups of younger rats but restricted to the 5 ppm group of older rat group. Cerebral concentration of zinc was reduced in cadmium and lead exposure. Glial cells pyknosis were widespread in older rats, but early neuronal necrosis was more widespread in younger rats, showing that the cellular effect of heavy metal is age dependent.
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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".