Beneficial effects of dietary omega‐3 polyunsaturated fatty acid on toxin‐induced neuronal degeneration in an animal model of Parkinson's disease
Bibliographic record
Abstract
In this study, we examined whether omega‐3 (n‐3) polyunsaturated fatty acids (PUFAs) may exert neuroprotective action in Parkinson's disease, as previously shown in Alzheimer's disease. We exposed mice to either a control or a high n‐3 PUFA diet from 2 to 12 months of age and then treated them with the neurotoxin 1‐methyl‐4‐phenyl‐1,2,3,6‐tetrahydropyridine (MPTP;140 mg/kg in 5 days). High n‐3 PUFA dietary consumption completely prevented the MPTP‐induced decrease of tyrosine hy‐droxylase (TH)‐labeled nigral cells ( P <0.01 vs. MPTP mice on control diet), Nurrl mRNA ( P <0.01 vs. MPTP mice on control diet), and dopamine transporter mRNA levels ( P <0.05 vs. MPTP mice on control diet) in the substantia nigra. Although n‐3 PUFA dietary treatment had no effect on striatal dopaminergic terminals, the high n‐3 PUFA diet protected against the MPTP‐induced decrease in dopamine ( P <0.05 vs. MPTP mice on control diet) and its metabolite dihydroxyphenylacetic acid ( P <0.05 vs. MPTP mice on control diet) in the striatum. Taken together, these data suggest that a high n‐3 PUFA dietary intake exerts neuroprotective actions in an animal model of Parkinsonism. Bous‐quet M., Saint‐Pierre, M., Julien, C., Salem, N. Jr., Cicchetti, F., Calon F. Beneficial effects of dietary omega‐3 polyunsaturated fatty acid on toxin‐induced neuronal degeneration in an animal model of Parkinson's disease. FASEB J. 22, 1213–1225 (2008)
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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 | 0.000 |
| 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 | 0.001 | 0.001 |
| 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".