MétaCan
Menu
Back to cohort
Record W6982652392

Investigation of water-soluble coenzyme-Q10 combined with root extract of ashwagandha as a potential therapy for Alzheimer's Disease

2024· article· en· W6982652392 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2024
Typearticle
Languageen
FieldMedicine
TopicMedicinal Plant Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDiseaseOxidative stressDementiaAmyloid (mycology)Oxidative phosphorylationMitochondrionAdverse effectInflammation
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.251
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it