Evidence map›Paper›PMID 32930491›Full record

ArticleAging cell2020

Underlying features of epigenetic aging clocks in vivo and in vitro.

Zuyun Liu, Diana Leung, Kyra Thrush, Wei Zhao, Scott Ratliff, Toshiko Tanaka, Lauren L Schmitz, Jennifer A Smith, Luigi Ferrucci, Morgan E Levine

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 7 pooled it
10.3field-weighted citation impact, top 1% of its field
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

150 citing papers in PubMed, 7 syntheses or guidelines pooled it, 228 citations in OpenAlex.

  1. Accelerated epigenetic age in hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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90 more citing papers are in PubMed but not listed here.

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

10 authors at 4 institutions in 2 countries.

Zuyun LiuDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-6120-5913
Diana LeungDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Kyra ThrushDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Wei ZhaoDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Scott RatliffDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Toshiko TanakaLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Lauren L SchmitzRobert M. La Follette School of Public Affairs, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jennifer A SmithDepartment of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Luigi FerrucciLongitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID 0000-0002-6273-1613
Morgan E LevineDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-9890-9324
Yale University · USUniversity of Michigan · USNational Institutes of Health · USUniversity of Wisconsin–Madison · US

Funding

NATIONAL ALZHEIMERS COORDINATING CENTER (NACC)U01AG016976 · NIA · UNIVERSITY OF WASHINGTON · PI KUKULL, WALTER ANTHONY · 1999 to 2020
$72.8M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
THE NIA GENETICS OF ALZHEIMER'S DISEASE DATA STORAGE SITEU24AG041689 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LI-SAN WANG · 2012 to 2026
$42.3M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER · 2020 to 2026
$30.2M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 CarriersR01AG057912 · NIA · YALE UNIVERSITY · PI GAITERI, CHRISTOPHER A., HIGGINS-CHEN, ALBERT TZONGYANG · 2017 to 2021
$4.5M
QUANTITATIVE ASSESSMENT OF BIOLOGICAL AGE AND ITS APPLICATIONSR01AG065403 · NIA · YALE UNIVERSITY · PI Vadim N. Gladyshev, Albert Tzongyang Higgins-Chen · 2020 to 2026
$4.2M
Exploring the Role of the Brain Epigenome: Cognitive Decline and Life ExperiencesR01AG036042 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2009 to 2013
$4.1M
NIA NIH HHS K99 AG056599NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG066508NIA NIH HHS R00 AG052604NIA NIH HHS R00 AG056599NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG034374NIA NIH HHS R01 AG034504NIA NIH HHS R01 AG036042NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG039478NIA NIH HHS R01 AG041232NIA NIH HHS R01 AG042210NIA NIH HHS R01 AG057911NIA NIH HHS R01 AG057912NIA NIH HHS R01 AG065403NIA NIH HHS U01 AG016976NIA NIH HHS U01 AG046152NIA NIH HHS U24 AG041689NINDS NIH HHS R01 NS078009NINDS NIH HHS U18 NS082140
6 · The paper itself

Abstract

Epigenetic clocks, developed using DNA methylation data, have been widely used to quantify biological aging in multiple tissues/cells. However, many existing epigenetic clocks are weakly correlated with each other, suggesting they may capture different biological processes. We utilize multi-omics data from diverse human tissue/cells to identify shared features across eleven existing epigenetic clocks. Despite the striking lack of overlap in CpGs, multi-omics analysis suggested five clocks (Horvath1, Horvath2, Levine, Hannum, and Lin) share transcriptional associations conserved across purified CD14+ monocytes and dorsolateral prefrontal cortex. The pathways enriched in the shared transcriptional association suggested links between epigenetic aging and metabolism, immunity, and autophagy. Results from in vitro experiments showed that two clocks (Levine and Lin) were accelerated in accordance with two hallmarks of aging-cellular senescence and mitochondrial dysfunction. Finally, using multi-tissue data to deconstruct the epigenetic clock signals, we developed a meta-clock that demonstrated improved prediction for mortality and robustly related to hallmarks of aging in vitro than single clocks.

Indexed as

AgingBiological ClocksEpigenomicsFemaleHumansMalebiological agingcellular senescenceDNA methylationepigenetic clockmitochondria

Identifiers

PMID32930491
PMCPMC7576259
OpenAlexW3084870657

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.