RETRACTED: Genetic Susceptibility Model of Parkinson’s Disease Resulting from Exposure of DJ-1 Deficient Mice to MPTP: Evaluation of Neuroprotection by Ubisol-Q10
Post-publication record
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Bibliographic record
Abstract
INTRODUCTION: Parkinson's disease arises from a combination of environmental and genetic risk factors. At present neither the curative nor preventative therapies are available; hence, there is an urgent need to develop reliable animal models to facilitate their development. Water soluble nanomiceller formulation of CoQ10 (Ubisol-Q10) has shown neuroprotection against neurotoxin on human neuronal cells. We have combined the genetic deficiency of DJ-1/PARK7 mice with MPTP exposure and develop a genetic susceptibility model of PD and evaluated the neuroprotective efficacy of (Ubisol-Q10). METHODS: Transgenic mice with DJ-1 deficiency (DJ-1/PARK7) were given either water or Ubisol-Q10 prophylactically at a dose of 6 mg/kg/day added directly to a drinking water for one month followed challenged with MPTP injections while keeping the same drinking water regiments. Four weeks after the last injection we evaluated neuroprotective efficacy of Ubisol-Q10 in DJ-1/MPTP model of PD using histochemical and behavioral readouts. RESULTS: We confirmed genetic susceptibility to MPTP and showed that prophylactic oral treatment with Ubisol-Q10 significantly offset the neurotoxicity and ameliorated motor dysfunction, otherwise correlated with the MPTP injury. CONCLUSION: Ubisol-Q10 protects against MPTP-induced neurodegeneration and motor dysfunction in DJ-1 deficient mice. Ubisol-Q10 might be a treatment prospect for people genetically predisposed to PD as well as with sporadic PD.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".