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Record W7115889519 · doi:10.64898/2025.12.16.25342400

Associations of Epigenetic Age Acceleration with Motor Impairment: Evidence from the PPMI Cohort

2025· article· en· W7115889519 on OpenAlexaff

Bibliographic record

VenuemedRxiv · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsHospital for Sick Children
FundersNational Institute on AgingNational Institutes of Health
KeywordsEpigeneticsCohortDopaminergicDiseaseCohort studyEpigenesis

Abstract

fetched live from OpenAlex

Objective: Motor decline is a hallmark of Parkinson's disease (PD) and biological aging. While epigenetic clocks measure systemic biological aging, their specific relationship with neuromotor function in the context of aging and neurodegeneration remains under-characterized. This study utilized data from the Parkinson's Progression Markers Initiative (PPMI) to examine the relationships between multiple DNA methylation-based epigenetic aging measures and motor impairment across distinct domains. Methods: We utilized longitudinal phenotype and whole-blood DNA methylation data from the PPMI cohort. Seven epigenetic aging measures were calculated, including first-generation clocks (Horvath v1, Hannum), risk-optimized second-generation clocks (PhenoAge, GrimAge v1 and v2), a deep-learning estimator (AltumAge), and a pace-of-aging biomarker (DunedinPACE). Motor function was assessed using the MDS-UPDRS, which captures patient-reported disability, global staging (Hoehn & Yahr), and specific motor signs, including tremor, bradykinesia, and postural instability. Cross-sectional associations were evaluated using binary or ordinal logistic regression, while longitudinal repeated measures were analyzed using generalized estimating equations (GEE) and cumulative link mixed models (CLMM), with adjustments for multiple comparisons made using the false discovery rate (FDR). Results: < 0.1). Repeated-measures analyses in the overall sample revealed robust associations between accelerated epigenetic aging and worsening tremor phenotypes (postural and kinetic), while associations with gait, rigidity, and bradykinesia were largely non-significant or inversely related. Sex-stratified analyses revealed distinct sexual dimorphism: males exhibited a broad, multi-clock phenotype (involving Horvath v1, PhenoAge, and GrimAge), where accelerated aging was associated with worsening tremor, gait, and rigidity. Females showed restricted associations, primarily linking the Hannum clock to tremor and global staging, and DunedinPACE to rigidity. Conclusions: Accelerated epigenetic aging is robustly associated with the longitudinal progression of tremor impairment in PD, with associations being particularly consistent and multi-dimensional in men. These findings suggest that systemic biological aging, as captured by both first- and second-generation clocks, disproportionately exacerbates tremor circuitry distinct from the dopaminergic pathways that drive bradykinesia. Epigenetic clocks may serve as valuable biomarkers for monitoring progression and risk stratification, particularly for tremor-dominant phenotypes.

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)0.006
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.021
GPT teacher head0.283
Teacher spread0.262 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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