Evidence map›Paper›PMID 39605173›Full record

ArticleAging cell2025

Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain.

Benjamin T Newman, Joshua S Danoff, Morgan E Lynch, Stephanie N Giamberardino, Simon G Gregory, Jessica J Connelly, T Jason Druzgal, James P Morris

Abstract read
In one paragraph

Article in Aging cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

8 authors.

Benjamin T NewmanDepartment of Psychology, University of Virginia, Charlottesville, Virginia, USA.ORCID 0000-0002-0668-2853
Joshua S DanoffDepartment of Psychology, University of Virginia, Charlottesville, Virginia, USA.
Morgan E LynchDepartment of Psychology, University of Southern California, Los Angeles, California, USA.
Stephanie N GiamberardinoDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA.
Simon G GregoryDuke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA.
Jessica J ConnellyDepartment of Psychology, University of Virginia, Charlottesville, Virginia, USA.
T Jason DruzgalDepartment of Radiology and Medical Imaging, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
James P MorrisDepartment of Psychology, University of Virginia, Charlottesville, Virginia, USA.

Funding

Short-term cognitive change in adults from 18 to 80R01AG024270 · NIA · UNIVERSITY OF VIRGINIA · PI DODSON, CHAD S, ERISIR, ALEV · 2016 to 2020
$3.1M
NIA NIH HHS R01 AG024270
6 · The paper itself

Abstract

Epigenetic clocks provide powerful tools for estimating health and lifespan but their ability to predict brain degeneration and neuronal damage during the aging process is unknown. In this study, we use GrimAge, an epigenetic clock correlated to several blood plasma proteins, to longitudinally investigate brain cellular microstructure in axonal white matter from a cohort of healthy aging individuals. A specific focus was made on white matter hyperintensities, a visible neurological manifestation of small vessel disease, and the axonal pathways throughout each individual's brain affected by their unique white matter hyperintensity location and volume. 98 subjects over 55 years of age were scanned at baseline with 41 returning for a follow-up scan 2 years later. Using diffusion MRI lesionometry, we reconstructed subject-specific networks of affected axonal tracts and examined the diffusion cellular microstructure composition of these areas, both at baseline and longitudinally, for evidence of cellular degeneration. A chronological age-adjusted version of GrimAge was significantly correlated with baseline WMH volume and markers of neuronal decline, indicated by increased extracellular free water, increased intracellular signal, and decreased axonal signal within WMH. By isolating subject-specific axonal regions "lesioned" by crossing through a WMH, age-adjusted GrimAge was also able to predict longitudinal development of similar patterns of neuronal decline throughout the brain. This study is the first to demonstrate WMH lesionometry as a subject-specific precision imaging technique to study degeneration in aging and the first to establish a relationship between accelerated epigenetic GrimAge and brain cellular microstructure in humans.

Indexed as

AgingBrainEpigenesis, GeneticWhite MatterAgedAged, 80 and overFemaleHumansMaleMiddle Agedbraindiffusion MRIepigenetic

Identifiers

PMID39605173
PMCPMC11984680

What OpenQuestion holds

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Registered trials

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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.