Evidence map›Paper›PMID 40699219›Full record

ArticleAging2025

Association of DNA methylation age acceleration with digital clock drawing test performance: the Framingham Heart Study.

Zexu Li, Huitong Ding, Mengyao Wang, Yi Li, Ting Fang Alvin Ang, Gurnani Ashita, Katherine A Gifford, Cody Karjadi, Daniel Levy, Rhoda Au and 1 more

Abstract read
In one paragraph

Article in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Zexu LiDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Huitong DingDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Mengyao WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Yi LiDepartment of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Ting Fang Alvin AngDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Gurnani AshitaDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Katherine A GiffordDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Cody KarjadiFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Daniel LevyFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Rhoda AuDepartment of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.
Chunyu LiuFramingham Heart Study, Boston University Chobanian and Avedisian School of Medicine, Boston, MA 02118, USA.

Funding

TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Ting Fang Alvin Ang · 2020 to 2026
$42.4M
Cognitive Heterogeneity in those with high Alzheimer's Disease RiskRF1AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 2020 to 2021
$1.8M
Cognitive heterogeneity in those with high Alzheimer's Disease RiskR01AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au, Vijaya B. Kolachalama · 2025 to 2026
$1.6M
Life's Essential 8, Digital Cognitive Markers, and Alzheimer's Disease RiskR01AG086303 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Chunyu Liu · 2025 to 2026
$886k
Cognitive heterogeneity in those with high Alzheimer's Disease RiskR56AG062109 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI AU, RHODA · 2018 to 2018
$517k
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INIA NIH HHS R01 AG062109NIA NIH HHS R01 AG086303NIA NIH HHS R56 AG062109NIA NIH HHS RF1 AG062109NIA NIH HHS U19 AG068753
6 · The paper itself

Abstract

backgroundThe relationship between cognitive function, measured by digital Clock Drawing Test (dCDT), and biological aging is lacking.

methodsWe used linear mixed regression to evaluate the associations between epigenetic aging metrics (Horvath, Hannum, GrimAge, PhenoAge, DunedinPACE) and dCDT scores in the Framingham Heart Study (FHS), adjusting for covariates. Significance was set at a false discovery rate (FDR) <0.05.

resultsAmong the 1,789 FHS participants (mean age 65 ± 13, 53% women), higher epigenetic age acceleration metrics at baseline predicted lower dCDT scores approximately seven years later. The magnitude of these associations was greater in older participants (≥65 years,

conclusionOur findings suggest that advanced biological aging, particularly as captured by DunedinPACE and GrimAge components, is significantly associated with poorer cognitive performance measured by dCDT, especially in older adults, highlighting a potential link between systemic aging processes and cognitive decline.

Indexed as

AgingCognitionDNA MethylationAgedEpigenesis, GeneticFemaleHumansMaleMiddle AgedNeuropsychological Testscognitive functiondigital Clock Drawing TestDNA methylationepigenetic aging

Identifiers

PMID40699219
PMCPMC12339028

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Registered trials

None linked

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.