Evidence map›Paper›PMID 37309088›Full record

ArticleAging cell2023

Whole-genome methylation analysis of aging human tissues identifies age-related changes in developmental and neurological pathways.

Ravi Tharakan, Ceereena Ubaida-Mohien, Christopher Dunn, Mary Kaileh, Rakel Tryggvadottir, Linda Zukley, Chee W Chia, Ranjan Sen, Luigi Ferrucci

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. The complete genome of the KOLF2.1J reference iPSC line.bioRxiv : the preprint server for biology · 2026
    Article
  3. A comprehensive guide to genomeZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  4. Article
  5. Article
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

9 authors at 2 institutions in 1 country.

Ravi TharakanTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID 0000-0001-5895-9271
Ceereena Ubaida-MohienTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Christopher DunnLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Mary KailehLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID 0000-0003-2314-312X
Rakel TryggvadottirCenter for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Linda ZukleyTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Chee W ChiaTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Ranjan SenLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA.ORCID 0000-0002-6273-1613
National Institutes of Health · USJohns Hopkins University · US

Funding

GESTALT-Genetic and Epigenetic Signatures of Translational Aging Laboratory TestingZIAAG000996 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2015 to 2025
$7.6M
Age-associated alterations in pro-inflammatory gene expression in humansZIAAG000386 · NIA · NATIONAL INSTITUTE ON AGING · PI SEN, RANJAN · 2009 to 2025
$4.8M
6 · The paper itself

Abstract

Age-associated changes in the DNA methylation state can be used to assess the pace of aging. However, it is not understood what mechanisms drive these changes and whether these changes affect the development of aging phenotypes and the aging process in general. This study was aimed at gaining a more comprehensive understanding of aging-related methylation changes across the whole genome, and relating these changes to biological functions. It has been shown that skeletal muscle and blood monocytes undergo typical changes with aging. Using whole-genome bisulfite sequencing, we sought to characterize the genome-wide changes in methylation of DNA derived from both skeletal muscle and blood monocytes, and link these changes to specific genes and pathways through enrichment analysis. We found that methylation changes occur with aging at the locations enriched for developmental and neuronal pathways regulated in these two peripheral tissues. These results contribute to our understanding of changes in epigenome in human aging.

Indexed as

AgingDNA MethylationCpG IslandsEpigenesis, GeneticGenomeHumansPhenotypeProtein Processing, Post-Translationalagingepigenomemonocytesskeletal muscle

Identifiers

PMID37309088
PMCPMC10352543
OpenAlexW4380423277

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.