Association of TLR4 with Alzheimer's disease risk and presymptomatic biomarkers of inflammation
Bibliographic record
Abstract
INTRODUCTION: A coding variant in the TLR4 receptor (rs4986790), previously associated with longevity and Alzheimer's disease (AD) risk reduction, was examined in a population isolate (Québec Founder Population [QFP]) and in presymptomatic individuals with a parental history of AD (Pre-Symptomatic Evaluation of Novel or Experimental Treatment for Alzheimer's Disease [PREVENT-AD]). METHODS: Genotyping was performed using the Illumina HumanHap 550k (QFP) and the Illumina Omni2.5 beadchips (PREVENT-AD). Cognition was assessed using the Repeatable Battery for Assessment of Neuropsychological Status (RBANS). Whole-brain cortical thickness data were analyzed using CIVET 1.12. Cerebrospinal fluid concentrations of cytokines were obtained by using Milliplex. RESULTS: The minor allele of the rs4986790 polymorphism (G) is associated with a reduced risk of developing AD in the QFP, as well as higher visuospatial and constructional abilities, higher cortical thickness in visual-related regions, and stable cerebrospinal fluid IL-1β levels in the PREVENT-AD cohort. DISCUSSION: The rs4986790 G coding variant in the TLR4 gene appears to reduce AD risk through the modulation of IL-1β synthesis and secretion in the presymptomatic phase of the disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".