Evidence map›Paper›PMID 39780748›Full record

ArticleAging cell2025

Cross-tissue comparison of epigenetic aging clocks in humans.

Abner T Apsley, Qiaofeng Ye, Avshalom Caspi, Christopher Chiaro, Laura Etzel, Waylon J Hastings, Christine M Heim, John Kozlosky, Jennie G Noll, Hannah M C Schreier and 3 more

Abstract readComparative Study
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 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Abner T ApsleyDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.ORCID 0000-0003-3420-7491
Qiaofeng YeDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Avshalom CaspiDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA.
Christopher ChiaroDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Laura EtzelThe Social Science Research Institute, Duke University, Durham, North Carolina, USA.
Waylon J HastingsDepartment of Psychiatry and Behavioral Science, Tulane University School of Medicine, New Orleans, Louisiana, USA.ORCID 0000-0003-0875-2568
Christine M HeimBerlin Institute of Health, Institute of Medical Psychology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, and Humboldt-Universitätzu Berlin, Berlin, Germany.
John KozloskyDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Jennie G NollDepartment of Psychology, University of Rochester, Rochester, New York, USA.
Hannah M C SchreierDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.
Chad E ShenkDepartment of Psychology, University of Rochester, Rochester, New York, USA.
Karen SugdenDepartment of Psychology and Neuroscience, Duke University, Durham, North Carolina, USA.
Idan ShalevDepartment of Biobehavioral Health, Penn State University, University Park, Pennsylvania, USA.ORCID 0000-0003-0773-4835

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
STRATIFIED CLUSTER RANDOMIZED TRIAL (SCRT) OF A CLINICAL DECISION RULE (CDR) FOR ABUSIVE HEAD TRAUMA (AHT)P50HD089922 · NICHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHRISTIAN M CONNELL · 2017 to 2026
$16.9M
Elucidating the measurement of telomeres: Development of a transdisciplinary, high-impact Telomere Research NetworkU24AG066528 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI DRURY, STACY SCHMIDT · 2019 to 2023
$3.0M
The Comparability and Reproducibility of Telomere Length Measurements for Population-based StudiesU01ES030949 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHALEV, IDAN · 2019 to 2021
$948k
A novel use of web-based software to efficiently triage pre-surgical patients basR44TR000045 · NCATS · MEDSLEUTH, INC. · PI KALAMAS, ALICIA GRUBER · 2012 to 2012
$546k
National Institute of Child Health and Human Development P50HD089922NCATS NIH HHS R44 TR000045NCATS NIH HHS UL1TR000045NCATS NIH HHS UL1TR002014NIA NIH HHS U01ES030949NIA NIH HHS U24 AG066528NIA NIH HHS U24AG066528NICHD NIH HHS P50 HD089922
6 · The paper itself

Abstract

Epigenetic clocks are a common group of tools used to measure biological aging-the progressive deterioration of cells, tissues, and organs. Epigenetic clocks have been trained almost exclusively using blood-based tissues, but there is growing interest in estimating epigenetic age using less-invasive oral-based tissues (i.e., buccal or saliva) in both research and commercial settings. However, differentiated cell types across body tissues exhibit unique DNA methylation landscapes and age-related alterations to the DNA methylome. Applying epigenetic clocks derived from blood-based tissues to estimate epigenetic age of oral-based tissues may introduce biases. We tested the within-person comparability of common epigenetic clocks across five tissue types: buccal epithelial, saliva, dry blood spots, buffy coat (i.e., leukocytes), and peripheral blood mononuclear cells. We tested 284 distinct tissue samples from 83 individuals aged 9-70 years. Overall, there were significant within-person differences in epigenetic clock estimates from oral-based versus blood-based tissues, with average differences of almost 30 years observed in some age clocks. In addition, most epigenetic clock estimates of blood-based tissues exhibited low correlation with estimates from oral-based tissues despite controlling for cellular proportions and other technical factors. Notably, the Skin and Blood clock exhibited the greatest concordance across all tissue types, indicating its unique ability to estimate chronological age in oral- and blood-based tissues. Our findings indicate that application of blood-derived epigenetic clocks in oral-based tissues may not yield comparable estimates of epigenetic age, highlighting the need for careful consideration of tissue type when estimating epigenetic age.

Indexed as

AgingEpigenesis, GeneticAdolescentAdultAgedChildDNA MethylationFemaleHumansMaleMiddle AgedMouth MucosaYoung Adultaccelerated agingaginggeneticsmolecular biology of aging

Identifiers

PMID39780748
PMCPMC11984668

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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.