Involvement of paraoxonase 1 genetic variants in Alzheimer’s disease neuropathology
Bibliographic record
Abstract
Evidence suggests that the genes involved in brain lipid homeostasis are of particular relevance for Alzheimer's disease (AD) etiology. Among these genes, that encoding paraoxonase 1 (PON1) has gained newfound interest from a public health perspective, as recent studies have suggested that PON1 L55M and Q192R genetic variants might affect individual susceptibility to environmental events, such as exposure to cholinesterase inhibitors. Cholinesterase inhibitor therapy being the treatment of choice for patients with mild to moderate AD, we sought to answer two main questions: (i) are these genetic variants associated with increased AD risk, earlier age of onset/death, or shorter AD duration; and (ii) do they affect the neuropathological hallmarks of AD? This genetic study used a large cohort of clinical and autopsy-confirmed AD cases and age-matched, cognitively intact controls from the Douglas Hospital Brain Bank, Quebec, Canada (n = 1066). The evidence presented here suggests multiple gender-specific effects of PON1 polymorphisms on AD etiopathology. The L55M Met allele exerts an AD risk-enhancing effect only in men (P < 0.001), whereas both men and women carrying the M55M/Q192Q genotype exhibit increased survival (2.5 years, P < 0.05) and later age of onset (1.5 years, P < 0.05). These genetic variants are also individually and significantly associated, sometimes in opposite directions for both genders, with beta-amyloid levels (P < 0.001), senile plaque accumulation (P < 0.001) and choline acetyltransferase activity (P < 0.05) in, respectively, two of two, five of six, and three of six brain areas. These results suggest an involvement of the PON1 gene in AD etiopathology and responses to treatment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".