Evidence map›Paper›PMID 42678897›Full record

ArticleDementia and geriatric cognitive disorders2026

Epigenetic Aging Clocks Associate with Cognitive Status More Strongly than Short-Term Cognitive Change: Evidence from the Parkinson's Progression Markers Initiative.

Bowen Feng, Andy Gao, Jingyun Yang

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Article in Dementia and geriatric cognitive disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bowen FengThe Hospital for Sick Children, Toronto, Canada.
Andy GaoAdlai E. Stevenson High School, Lincolnshire, USA.
Jingyun YangRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, USA, jingyun_yang@rush.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCognitive impairment is a major source of disability in Parkinsonian disorders, yet biomarkers that distinguish cognitive status from cognitive decline remain limited. DNA methylation-based epigenetic aging (EA) measures capture complementary dimensions of biological aging, but it remains unclear whether they primarily reflect stable between-person differences in cognitive performance or longitudinal cognitive change.

methodsWe examined associations between EA measures and global cognition in the Parkinson's Progression Markers Initiative cohort. Seven EA measures were derived from peripheral blood DNA methylation data, and cognition was assessed longitudinally using the Montreal Cognitive Assessment (MoCA). Linear mixed-effects models included baseline-plus-change-from-baseline, within-person versus between-person decomposition, baseline clock-by-time interaction, and decline-focused sensitivity models.

resultsHigher EA was consistently associated with lower overall MoCA scores. In baseline-plus-change-from-baseline models, the analytic-baseline component showed the dominant signal, whereas the change-from-baseline terms were not significant after false discovery rate correction. In decomposition models, associations were concentrated in the between-person component, while within-person deviation terms were not significant. Secondary analyses were consistent with this pattern.

conclusionBlood-based EA measures may be more informative as markers of cognitive status than as markers of short-term cognitive progression. Larger studies with longer follow-up and more detailed domain-specific cognitive phenotyping are needed to clarify their longitudinal relevance.

Indexed as

CognitionDNA methylationEpigenetic agingLongitudinal cohort

Identifiers

PMID42678897

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.