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Record W4366827130 · doi:10.1101/2023.04.21.23288930

Evaluation of ATN <sub>PD</sub> framework and biofluid markers to predict cognitive decline in early Parkinson’s disease

2023· preprint· en· W4366827130 on OpenAlexaboutno aff
Katheryn A Q Cousins, David J. Irwin, Thomas F. Tropea, Emma Rhodes, Jeffrey S. Phillips, Alice Chen‐Plotkin, Michael C. Brumm, Christopher S. Coffey, Ju‐Hee Kang, Tanya Simuni, Tatiana Foroud, Arthur W. Toga, Caroline M. Tanner, Karl Kieburtz, Brit Mollenhauer, Douglas Galasko, Samantha J. Hutten, Daniel Weintraub, Andrew Siderowf, Kenneth Marek, Gwendlyn Kollmorgen, Kathleen L. Poston, Leslie M. Shaw

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicParkinson's Disease Mechanisms and Treatments
Canadian institutionsnot available
FundersAllerganGenentechH. Lundbeck A/SServierVoyager TherapeuticsAvid RadiopharmaceuticalsSanofi GenzymeF. Hoffmann-La RocheBiogenCelgeneTeva Pharmaceutical IndustriesGlaxoSmithKlineEli Lilly and CompanyBristol-Myers SquibbPfizerSanofiAlzheimer's AssociationMichael J. Fox Foundation for Parkinson's Research
KeywordsParkinson's diseaseInternal medicineNeurodegenerationMedicineCognitive declineCerebrospinal fluidAlzheimer's Disease Neuroimaging InitiativeCohortOncologyDiseaseLongitudinal studyGastroenterologyMontreal Cognitive AssessmentPathologyPsychologyAlzheimer's diseaseCognitive impairmentDementia

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.045
GPT teacher head0.322
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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