Investigation of water-soluble coenzyme-Q10 combined with root extract of ashwagandha as a potential therapy for Alzheimer's Disease
Bibliographic record
Abstract
Alzheimer’s Disease (AD) is the most common form of dementia in Canada, currently affecting more than 500,000 Canadians. It is associated with a decline in neurocognitive function affecting memory and ability to perform daily tasks leading to severe morbidity. While therapies to reduce AD symptoms exist, there are no treatments that prevent its progression. Associated biochemical causes of AD include: increased oxidative stress, inflammation, mitochondrial dysfunction and accumulation dysfunctional protein leading to formation of plaques and neurofibrillary tangles. Current therapies are chemo-modulators where extended use has adverse effects. A multifaceted approach to treatment using natural compounds and extracts that can target multiple pathways simultaneously should be preferable. We hypothesize that combining Ubisol-Q10 and ashwagandha root extract to target mitochondrial dysfunction, oxidative stress, and inflammation could block the progression of AD. We propose to accomplish this using a double transgenic mouse model for AD, containing two defective genes (TgAPEswe, PSEN1dE9) that develop memory deficit and symptoms of AD. Four groups with the following feeding regiments 1) water 2) water-Ubisol-Q10 3) water-ashwagandha extract 4) water-UbisolQ10-ashwagandha extract will be maintained for 15 months. Animals will be tested for memory-related behaviour and will be sacrificed. Brain tissue will be analyzed by immunohistochemistry. Based on previous work, mice in group 4 should have improved memory. The brain tissues of these animals will be sectioned and stained for amyloid beta plaques. In addition, tissues will also be analyzed for oxidative stress, autophagy, and inflammation-related markers using specific antibodies. Ubisol-Q10 leads to significant loss of amyloid beta plaques and improvement in memory-related behaviour (previous results). The combination treatment should have a better outcome. If treatment with Ubisol-Q10 and ashwagandha extract shows better neuroprotective efficacy in the double transgenic AD mouse model, the combination should prove to be a promising therapeutic for those suffering from AD.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".