The therapeutic effect of the oily extract of Cannabis sp. in Aluminum Chloride-Induced Alzheimer's Disease in Rats
Bibliographic record
Abstract
Objective: To evaluate the therapeutic potential of Cannabis sp extract in a model of Alzheimer's disease induced by aluminum chloride in rats. Methods: Thirty Wistar rats were divided into five groups (n=6) where one group received no treatment, another group received only aluminum chloride and the others, in addition to aluminum chloride, received different doses (50, 100 and 150µl) of oily extract of Cannabis sp. The animals were euthanized one day after treatment, where the brain was collected, fixed, processed and embedded in paraffin. Histological sections of the hippocampus were used for qualitative and quantitative assessment of morphological changes. Blood serum was also obtained to determine indicators of oxidative status. Results: Reduction of more than 80% in cell death in the dentate gyrus region of the hippocampus in animals treated with cannabis extract. Furthermore, a reduction in total protein levels by approximately 20% and an increase (15%) in antioxidant enzymes in relation to the positive control were also observed in the serum. Conclusion: The use of the oily extract of Cannabis sp. in a 2:1 ratio of delta-9-tetrahydrocannabinol (THC): Cannabidiol (CBD) effectively reduced hippocampal neuron deaths from amyloidosis induced in chronic aluminum chloride intoxication.
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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 | 0.001 | 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) | 0.001 | 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".