Evidence map›Paper›PMID 41132105›Full record

ArticleAging cell2025

Association of Epigenetic Age Acceleration and Mitochondrial DNA-Based Aging Metrics Provides Insights Into Mechanisms of Aging-Related Diseases.

Mengyao Wang, Yinan Zheng, Meng Lai, Emmanuel Saake, Xue Liu, Xiuqing Guo, Kent D Taylor, Tianxiao Huan, Roby Joehanes, Drew R Nannini and 14 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

24 authors.

Mengyao WangDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0009-0005-5135-0224
Yinan ZhengDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-2006-7320
Meng LaiDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Emmanuel SaakeDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.
Xue LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-4196-3597
Xiuqing GuoThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, California, USA.
Kent D TaylorThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, California, USA.
Tianxiao HuanPopulation Sciences Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland, USA.
Roby JoehanesPopulation Sciences Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0001-5549-9054
Drew R NanniniDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Kai ZhangDepartment of Environmental Health Sciences, College of Integrated Health Sciences, University at Albany, State University of New York, Rensselaer, New York, USA.
Nicole J LakeDepartment of Genetics, Yale School of Medicine, New Haven, Connecticut, USA.
Christina A CastellaniDepartments of Pathology and Laboratory Medicine & Epidemiology and Biostatistics, Western University, London, Ontario, Canada.ORCID 0000-0003-2737-0549
Stephen S RichDepartment of Genome Sciences, University of Virginia, Charlottesville, Virginia, USA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, California, USA.
Yongmei LiuDivisions of Cardiology and Neurology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA.
Laura M RaffieldDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
April P CarsonDepartment of Medicine, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Myriam FornageHuman Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Jiantao MaNutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA.
Dan E ArkingMcKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Lifang HouDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Daniel LevyPopulation Sciences Branch, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, Bethesda, Maryland, USA.
Chunyu LiuDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA.

Funding

Mitochondrial DNA Copy Number and Sequence Variation in Relation to Age, Alzheimer's Disease Related Phenotypes and Age-related Metabolic TraitsR01AG059727 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU, SATIZABAL, CLAUDIA L · 2018 to 2021
$2.6M
Mitochondrial DNA, Nuclear DNA Methylation, and Cardiometabolic Disease TraitsR01HL155569 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU · 2021 to 2024
$2.4M
Analysis of Heteroplasmic mtDNA Mutations in Whole Genome Sequencing: Methods and Application to Cardiometabolic Disease TraitsR21HL144877 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LIU, CHUNYU · 2019 to 2020
$246k
NHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS R01 HL155569NHLBI NIH HHS R01HL155569NHLBI NIH HHS R21 HL144877NIAAA NIH HHS R01AA082263NIA NIH HHS R01 AG059727
6 · The paper itself

Abstract

Investigating the interplay between mitochondrial DNA (mtDNA) variations and epigenetic aging metrics may elucidate biological mechanisms associated with age-related diseases. We estimated epigenetic age acceleration (EAA) metrics from DNA methylation data and derived mtDNA metrics, including heteroplasmic variants and mtDNA copy number (mtDNA CN) from whole genome sequencing. Linear regressions and meta-analyses were conducted to assess associations between EAA and mtDNA metrics, adjusting for chronological age, self-identified sex, and other covariates in 6,316 participants (58% female, 41% non-White Americans). Mediation analysis was conducted to examine whether EAA mediated the relationship between mtDNA CN and metabolic traits. A higher burden of rare heteroplasmic variants was associated with accelerations of first-generation EAA metrics, while a lower level mtDNA CN was associated with accelerations of second- and third-generation EAA metrics. For example, one standard deviation (SD) higher MSS, a score based on the predicted functions of rare heteroplasmic variants, was associated with a 0.22-year higher EAA by the Hannum method (p = 1.3E-6) among all participants, while one SD lower mtDNA CN was associated with higher DunedinPACE (β = -0.005, p = 6.0E-4). No significant association was observed between the heteroplasmy burden of common variants and EAAs. Furthermore, we observed DunedinPACE mediated 11.1% and 10.8% of the associations of mtDNA CN with obesity and T2DM in older FHS participants, respectively. Our analysis indicated that higher levels of heteroplasmy burden of rare variants and lower mtDNA CN were associated with accelerated epigenetic aging, and these associations showed stronger magnitudes among older participants.

Indexed as

AgingDNA, MitochondrialEpigenesis, GeneticAgedDNA Copy Number VariationsDNA MethylationFemaleHumansMaleMiddle AgedDNA, MitochondrialDNA methylationepigenetic agingheteroplasmymitochondrial DNA

Identifiers

PMID41132105
PMCPMC12686565

What OpenQuestion holds

Textmetadata
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.