Plasma p-tau <sub>217</sub> correlates strongly with cerebrospinal fluid Aβ <sub>42</sub> and increases over a ten-year period in amyloid-positive, non-demented very old men
Bibliographic record
Abstract
Background Plasma phosphorylated tau 217 (p-tau 217 ) is a robust biomarker of Alzheimer's disease (AD) pathology. However, its full potential as a dynamic marker has still not been verified in very old persons, i.e., those with the highest incidence of AD. Objective To examine the cross-sectional and longitudinal associations between plasma p-tau 217 concentration and cerebrospinal fluid (CSF) AD biomarkers. Further, to investigate the performance of p-tau 217 as a predictor of amyloid status in a cohort of very old men. Methods CSF AD biomarkers were analyzed in thirty-five 89-year-old men. Amyloid-β (Aβ) positivity was defined according to CSF Aβ 42 level. Plasma p-tau 217 concentration was measured at the mean age of 82, 87, and 91. Incident dementia diagnoses in survivors were identified through medical records up to the age of 102. Results Plasma p-tau 217 strongly correlated with CSF Aβ 42 concentration in Aβ-positive (n = 16, Spearman ρ : rho = −0.63, p = 0.009) but not in Aβ-negative (n = 19, rho = 0.111, p = 0.652) men and predicted Aβ status (area under the curve, AUC 0.91). Plasma p-tau 217 increased over ten years in the Aβ-positive group, while it remained unchanged in the negative group (p = 0.018). Conclusions Our findings indicate that plasma p-tau 217 is a predictor of brain Aβ deposition also in very old individuals.
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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 | 0.002 |
| 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 | 0.001 | 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".