Evidence map›Paper›PMID 42528496›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Epigenetic Clock Trajectories and Brain Health in Midlife.

Ana I Boeriu, Shea J Andrews, Tina Hoang, Sejong Bae, Kristine Yaffe

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ana I BoeriuDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0009-0000-5469-4085
Shea J AndrewsDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0002-1921-9470
Tina HoangNorthern California Institute for Research and Education, San Francisco, San Francisco, CA, USA.
Sejong BaeDepartment of Biostatistics, Data Science, & Epidemiology, School of Public Health, Augusta University, Augusta, GA, USA.
Kristine YaffeDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.

Funding

CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - COORDINATING CENTER (CC)75N92023D00002 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LI, JING · 2023 to 2025
$6.8M
Population Based Research for Alzheimer's Innovation (POP BRAIN)R35AG071916 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YAFFE, KRISTINE · 2021 to 2024
$3.8M
Lifecourse Predictors and Mechanisms of Early Clinical ADRD among Black and White Adults in their SixtiesR01AG091431 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kristine Yaffe · 2025 to 2026
$2.6M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - OAKLAND FIELD CENTER75N92023D00003 · NHLBI · KAISER FOUNDATION RESEARCH INSTITUTE · PI BHATT, ANKEET S. · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - BIRMINGHAM FIELD CENTER75N92023D00005 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA · 2023 to 2025
$2.2M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - CHICAGO FIELD CENTERDIVERSITY SUPPLEMENT FOR MORGANN WEST75N92023D00004 · NHLBI · NORTHWESTERN UNIVERSITY · PI CARNETHON, MERCEDES · 2023 to 2025
$2.1M
CORONARY ARTERY RISK DEVELOPMENT IN YOUNG ADULTS (CARDIA) STUDY - UNIVERSITY OF MINNESOTA FIELD CENTER.75N92023D00006 · NHLBI · UNIVERSITY OF MINNESOTA · PI SCHREINER, PAMELA J · 2023 to 2025
$1.7M
NHLBI NIH HHS 75N92023D00002NHLBI NIH HHS 75N92023D00003NHLBI NIH HHS 75N92023D00004NHLBI NIH HHS 75N92023D00005NHLBI NIH HHS 75N92023D00006NIA NIH HHS R01 AG091431NIA NIH HHS R35 AG071916
6 · The paper itself

Abstract

Background: Accelerated biological aging can be assessed with DNA methylation (DNAm)-based epigenetic clocks. Research suggests that greater DNAm is associated with faster cognitive decline and risk of Alzheimer disease (AD) and other dementias. However, most studies have relied on single-time-point measurements of clocks, rather than evaluating dynamic changes over time. We examined the association between 15-year epigenetic aging trajectories and brain health outcomes in midlife. Methods: We analyzed 2,833 middle-aged adults (mean baseline age 40 years, 59% female and 44% Black) with ≥ 3 DunedinPACE (a recently developed epigenetic clock) measurements, collected over 15 years. Using mixed-effects modeling, we derived individual-specific slopes of epigenetic aging trajectories and categorized participants as Fast Agers (slopes > 1 SD above the mean), Slow Agers (slopes < 1 SD below the mean), or Typical Agers (within ±1 SD of the mean). We examined associations between trajectory group and cognition on five cognitive domains as well as on plasma AD biomarkers (NfL, p-tau217, Aβ42/Aβ40), all assessed 15-20 years post-baseline. Models were adjusted for demographics, education, physical activity and Results: Epigenetic aging trajectories were associated with multiple domains of cognition and AD biomarkers (Figure 1). Compared to Typical Agers, Fast Agers showed worse processing speed, memory, executive function, and global cognition (all p<0.05), with no difference in verbal fluency. Slow Agers had better performance on memory and global cognition (both p < 0.05). Fast Agers also exhibited significantly lower Aβ42/Aβ40 levels (p = 0.011) compared to Typical agers; no significant associations with p-tau217 or NfL were observed in either group. Conclusion: Middle-aged adults with faster 15-year epigenetic aging trajectories demonstrated worse cognitive performance, whereas those with slower biological aging trajectories exhibited cognitive resilience and more favorable AD biomarker profiles. By examining long-term trajectories rather than single timepoints, these findings identify individuals at differential risk for brain health outcomes.

Identifiers

PMID42528496
PMCPMC13409258

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.