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Record W7010043893

Genetic markers of neurodegeneration: a role for paraoconase 1 in sporadic Alzheimer's disease?

2009· dissertation· en· W7010043893 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2009
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicParaoxonase enzyme and polymorphisms
Canadian institutionsnot available
Fundersnot available
KeywordsPON1Single-nucleotide polymorphismSNPOxidative stressCholine acetyltransferaseAlleleGeneParaoxonasePolymorphism (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Mounting evidence points to increased oxidative stress and disruption of cholesterol homeostasis as being crucial events implicated in Alzheimer's disease (AD) etiopathology. Paraoxonase1 (PON1) is a high-density lipoprotein-associated antioxidant enzyme that functions to protect both lipids and the cholinergic system, the primary neurotransmitter system affected in AD, from respectively oxidation and organophosphate compounds. Using a large and homogeneous cohort of Quebec citizens, we therefore sought to investigate the involvement of PON1 in AD. We found that a single nucleotide polymorphism (SNP) in the PON1 gene not only exerts an AD risk enhancing effect but also a paradoxical survival rate increasing effect and a later age at AD symptom onset. This SNP is also significantly associated, sometimes in opposite directions for both sexes, with beta-amyloid levels, senile plaque accumulation and choline acetyltransferase activity in numerous brain areas. Thus, these results suggest a prominent role for PON1 in the etiopathology of 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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