Anti-inflammatory and neuroprotective activity of boswellic acids in rotenone parkinsonian rats
Bibliographic record
Abstract
There is evidence that inflammation and oxidative stress contribute to the neurodegenerative changes observed in Parkinson's disease. Unfortunately, there is a lack of curative treatment for this debilitating movement disorder. Boswellic acids (BAs) are pentacyclic triterpene molecules of plant origin that have been utilized for treating many inflammatory conditions. The current study was conducted to explore the protective role of BAs against rotenone-induced experimental parkinsonism. Twenty-four rats were assigned to one of four treatment groups. The first two groups were a vehicle group (no rotenone) and a rotenone control group in which rats received rotenone (1 mg/kg) every 48 h. The next 2 groups received rotenone (1 mg/kg every 48 h) plus protective oral doses of BAs (125 or 250 mg/kg daily). Rats in the rotenone group showed motor dysfunction when tested in the open-field arena and cylinder and rotarod tests. Moreover, inflammatory markers increased, whereas the dopamine level was lower in the striata of rats in the rotenone group versus those in the vehicle group. BAs taken by rats with rotenone-induced parkinsonism showed enhanced general motor performance, reduced inflammatory markers, and increased striatal dopamine level and nigral tyrosine hydroxylase immunostaining. In conclusion, BAs are promising agents in slowing the progression of Parkinson's disease if appropriate data become available about their safety and efficacy in humans.
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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 | 0.000 | 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".