Evidence map›Paper›PMID 42856705›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Comparing epigenetic puberty and epigenetic clocks as biomarkers of adult biological aging and health.

Q Wu, S F P Gibbs, A J de Steiguer, S Zarandooz, Y E Willems, T Smith, J A Goode, C Mitchell, E M Crimmins, K P Harden and 2 more

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

12 authors.

Q WuMax Planck Institute for Human Development; Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Berlin, Germany.ORCID 0000-0001-6206-1659
S F P GibbsInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K.
A J de SteiguerDepartment of Psychology, The University of Texas, Austin, U.S.A.ORCID 0009-0005-1615-7920
S ZarandoozMax Planck Institute for Human Development; Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Berlin, Germany.ORCID 0009-0008-9825-4469
Y E WillemsMax Planck Institute for Human Development; Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Berlin, Germany.ORCID 0000-0002-5747-0164
T SmithSurvey Research Center of the Institute for Social Research; University of Michigan, Ann Arbor, MI, U.S.A.ORCID 0009-0002-4131-5343
J A GoodeSurvey Research Center of the Institute for Social Research; University of Michigan, Ann Arbor, MI, U.S.A.ORCID 0000-0003-3290-0284
C MitchellSurvey Research Center of the Institute for Social Research; University of Michigan, Ann Arbor, MI, U.S.A.ORCID 0000-0001-9560-1199
E M CrimminsLeonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, U.S.A.ORCID 0000-0001-5459-5239
K P HardenDepartment of Psychology, The University of Texas, Austin, U.S.A.ORCID 0000-0002-1557-6737
R E MarioniInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K.ORCID 0000-0003-4430-4260
L RaffingtonMax Planck Institute for Human Development; Max Planck Research Group Biosocial - Biology, Social Disparities, and Development, Berlin, Germany.ORCID 0000-0002-0144-5605

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
NIA NIH HHS U01 AG009740Wellcome Trust
6 · The paper itself

Abstract

Recent lifespan frameworks of aging theorize that pubertal development and cellular aging are governed by overlapping pathways, but the time lag between adolescence and older adulthood complicates the study of shared molecular mechanisms. Here we compare a DNA-methylation-based epigenetic index of pubertal development to epigenetic clocks, which were designed to measure biological aging, as a putative biomarker of adult aging and health in two adult cohorts: 3,642 older Americans in the Health and Retirement Study (HRS; age range, 56 to 100 years; 2,106 females) and 18,676 adults from Generation Scotland (GS; age range, 18 to 98 years; 10,974 females). Epigenetic puberty was correlated with chronological age in both cohorts, moderately in the older HRS sample (r = 0.51 in females, r = 0.51 in males) and strongly across the wider adult age range of GS (r = 0.82 in females, r = 0.86 in males). In both cohorts, age-residualized epigenetic puberty was associated with accelerated biological aging as measured by epigenetic clocks and other aging biomarkers (standardized coefficients: HRS, 0.13 to 0.47, all P < 0.005; GS, 0.05 to 0.40, all P < 0.001). Epigenetic puberty was linked with multiple health outcomes: mortality in HRS in both sexes (ORs, 1.39 and 1.46, both P ≤ 0.001) and in GS among females (HR, 1.12, P = 0.003); 10-year onset of diabetes, any cancer and lung disease in GS (HRs, 1.12 to 1.19, all P < 0.005); and with multimorbidity, functional limitations and BMI in females in HRS (standardized coefficients, 0.10 to 0.16, all P < 0.001). It also accounted for a unique, albeit smaller, proportion of variance in aging-related outcomes beyond that explained by epigenetic clocks. These findings indicate that the epigenetic puberty index reflects pro-aging underlying biology, showing overlapping molecular pathways between pubertal development and cellular aging, and support a lifespan-based approach to studying biological aging.

Indexed as

agingDNA methylationepigeneticshealthpuberty

Identifiers

PMID42856705
PMCPMC13648792

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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.