Evaluation of ATN <sub>PD</sub> framework and biofluid markers to predict cognitive decline in early Parkinson’s disease
Bibliographic record
Abstract
Abstract Background and Objectives In Parkinson’s disease (PD), Alzheimer’s disease (AD) co-pathology is common and clinically relevant. However, the longitudinal progression of AD cerebrospinal fluid (CSF) biomarkers – β-amyloid 1-42 (Aβ 42 ), phosphorylated tau 181 (p-tau 181 ) and total tau (t-tau) – in PD is poorly understood, and may be distinct from clinical AD. Moreover, it is unclear if CSF p-tau 181 and serum neurofilament light (NfL) have added prognostic utility in PD, when combined with CSF Aβ 42 . First, we describe longitudinal trajectories of biofluid markers in PD. Second, we modified the AD β-amyloid/tau/neurodegeneration (ATN) framework for application in PD (ATN PD ) using CSF Aβ 42 (A), p-tau 181 (T), and serum NfL (N), and tested ATN PD prediction of longitudinal cognitive decline in PD. Methods Participants were selected from the Parkinson’s Progression Markers Initiative (PPMI) cohort, clinically-diagnosed with sporadic PD or as normal Controls, and followed annually for 5 years. Linear mixed effects models (LMEM) tested the interaction of diagnosis with longitudinal trajectories of analytes (log-transformed, FDR-corrected). In PD, LMEMs tested how baseline ATN PD status (AD [A+T+N±] vs . not) predicted clinical outcomes, including Montreal Cognitive Assessment (MoCA; rank-transformed, FDR-corrected). Results Participants were 364 PD and 168 Controls, with comparable baseline mean (±SD) age (PD=62±10; Control=61±11]; Mann-Whitney-Wilcoxon: p =0.40) and gender distribution (PD=231 males [63%]; Control=107 males [64%]; chi-square: p =1.0). PD had overall lower CSF p-tau 181 (β=-0.16, 95%CI=-0.23 – -0.092, p =2.2e-05) and t-tau than Controls (β=-0.13, 95%CI=-0.19 – -0.065, p =4.0e-04), but not Aβ 42 ( p =0.061) or NfL ( p =0.32). Over time, PD had greater increases in serum NfL than Controls (β=0.035, 95%CI=0.022 – 0.048, p =9.8e-07); PD slopes did not differ from controls for CSF Aβ 42 ( p =0.18), p-tau 181 ( p =1.0) or t-tau ( p =0.96). Using ATN PD , PD classified as A+T+N± (n=32; 9%) had consistently worse cognitive decline, including on global MoCA (β=-73, 95%CI=-110 – -37, p =0.00077), than all other ATN PD statuses including A+ alone (A+T-N-; n=75; 21%). Discussion In early PD, CSF p-tau 181 and t-tau were low compared to Controls and did not increase over 5 year follow-up. Even so, classification using modified ATN PD (incorporating CSF p-tau 181 with CSF Aβ 42 and serum NfL) may identify biologically-relevant subgroups of PD to improve prediction of cognitive decline in early PD.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".