Analysis of Postmortem Ventricular Cerebrospinal Fluid from Patients with and without Dementia Indicates Association of Vitamin E with Neuritic Plaques and Specific Measures of Cognitive Performance
Bibliographic record
Abstract
Ventricular cerebrospinal fluid (vCSF) obtained at autopsy from 230 participants in the Religious Orders Study was analyzed for alpha tocopherol (αT, vitamin E) and gamma tocopherol (γT) in relation to brain tissue neuropathological diagnoses (NIA-Reagan criteria); neuritic plaque density and neurofibrillary tangle state (Braak stage); and cognitive function proximate to death. Neither vCSF αT nor γT was related to the pathological diagnosis of Alzheimer's disease, but vCSF αT concentration was inversely related to neuritic plaque density (β = -0.21, SE = 0.105, p = 0.04) in regression models adjusted for age, gender, education, and APOE-4. Ventricular CSF αT concentration was positively associated with perceptual speed (β = 0.27, SE = 0.116, p = 0.02) whereas the γT/αT ratio was negatively associated with episodic memory (β = -0.037, SE = 0.017, p = 0.04). Only vCSF αT, but not γT, was correlated with postmortem interval (PMI). Adjustment for PMI had no effect on significance of associations between αT and perceptual speed or γT/αT and episodic memory, but after this adjustment the αT concentration was no longer significantly associated with neuritic plaques. These data suggest that vCSF αT, but not γT, is weakly associated with less Alzheimer's disease neuropathology, specifically neuritic plaques, and correlates with better performance on tests of perceptual speed.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".