Protection of SNpc neurons by water soluble CoQ <sub>10</sub> in a paraquat induced rat model of Parkinson's disease: The role of neurotrophic factors
Bibliographic record
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder that results from the progressive loss of dopaminergic (DA) neurons in the substantia nigra pars compacta (SNpc). Studies show that mitochondrial dysfunction/oxidative stress is a major contributor to this disease. Currently there is no treatment to halt the progression of PD. Recently we have shown that water‐soluble coenzyme Q 10 (WS‐CoQ 10 , NRC technology licensed to Zymes LLC) prevents the loss of dopaminergic neurons in the SNpc and ameliorates the symptoms of paraquat (PQ)‐inducted PD in the rat model. We have observed that there is activation of astroglia in the brains of WS‐CoQ 10 treated animals. Whether this activation plays a role in protecting SNpc neurons is unknown. It is possible that activated astroglia cells produce neurotrophic factors that may protect neurons under oxidative stress. We analyzed brain tissue samples from PQ treated PD rats fed with either placebo or WS‐CoQ 10 for DA neurons, activation of astroglia and levels of various neurotrophic growth factors. We observed significant protection of DA neurons in the SNpc, activated astroglia and increased levels of BDNF and GDNF in WS‐CoQ 10 fed rats. These results indicate that WS‐CoQ 10 treatment could activate astroglia that produce high levels of BDNF and GDNF and could provide protection to the DA neurons against PQ toxicity and may be used to halt PD progression. Funded by CIHR.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".