Evidence map›Paper›PMID 30419258›Full record

ReviewPharmacology & therapeutics2019

The role of DNA methylation in epigenetics of aging.

Archana Unnikrishnan, Willard M Freeman, Jordan Jackson, Jonathan D Wren, Hunter Porter, Arlan Richardson

Open access · hybridAbstract readReview
In one paragraph

Review in Pharmacology & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 2 pooled it
12.3field-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

189 citing papers in PubMed, 2 syntheses or guidelines pooled it, 384 citations in OpenAlex.

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  17. The complete genome of the KOLF2.1J reference iPSC line.bioRxiv : the preprint server for biology · 2026
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129 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

6 authors at 1 institution in 1 country.

Archana UnnikrishnanReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA. Electronic address: archana-unnikrishnan@ouhsc.edu.
Willard M FreemanReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Physiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Oklahoma City VA Medical Center, Oklahoma City, OK, USA.
Jordan JacksonReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Jonathan D WrenDepartment of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Biochemistry & Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Arthritis & Clinical Immunology Program, Division of Genomics and Data Sciences, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA.
Hunter PorterReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Oklahoma Center for Neuroscience, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Arlan RichardsonReynolds Oklahoma Center on Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Department of Geriatric Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; Oklahoma City VA Medical Center, Oklahoma City, OK, USA.
University of Oklahoma Health Sciences Center · US

Funding

Targeted DNA Methylation and Mitochondrial Heteroplasmy CoreP30AG050911 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Veronica Galvan · 2015 to 2026
$13.9M
Interaction of Genotype and Level of Dietary Restriction on Lifespan and AgingR01AG045693 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI RICHARDSON, ARLAN G. · 2014 to 2018
$3.7M
GEROSCIENCE TRAINING PROGRAM IN OKLAHOMAT32AG052363 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Benjamin Francis Miller, William Edmund Sonntag · 2017 to 2026
$3.6M
Sex divergence and cell specificity of age-related hippocampal DNA modificationsR01AG059430 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2019 to 2023
$2.7M
INSULIN-THERAPY RESISTANT EPIGENETIC MODIFICATIONS IN DIABETIC RETINOPATHYR01EY021716 · NEI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2011 to 2014
$1.3M
Defective mitochondrial function & genomic maintenance with diabetic retinopathyR21EY024520 · NEI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI FREEMAN, WILLARD M · 2015 to 2016
$407k
Dynamics of the brain epigenome with agingI01BX003906 · VA · OKLAHOMA CITY VA MEDICAL CENTER · PI FREEMAN, WILLARD M · 2018 to 2021
–
BLRD VA I01 BX003906BLRD VA IK6 BX005238NEI NIH HHS R01 EY021716NEI NIH HHS R21 EY024520NIA NIH HHS P30 AG050911NIA NIH HHS R01 AG045693NIA NIH HHS R01 AG059430NIA NIH HHS T32 AG052363
6 · The paper itself

Abstract

Recent research suggests that epigenetics, especially DNA methylation, plays a mechanistic role in aging. Epigenetic clocks, which measure changes in a few hundred specific CpG sites, can accurately predict chronological age in a variety of species, including humans. These clocks are currently the best biomarkers for predicting mortality in humans. Additionally, several studies have characterized the effects of aging across the methylome in a wide variety of tissues from humans and mice. A small fraction (~2%) of the CpG sites show age-related changes, either hypermethylation or hypomethylation with aging. Evaluation of non-CpG site methylation has only been examined in a few studies, with about ~0.5% of these sites showing a change with age. Therefore, while only a small fraction of cytosines in the genome show changes in DNA methylation with age, this represents 2 to 3 million cytosines in the genome. Importantly, the only study to compare the effect of aging on DNA methylation in male and female mice and humans found that >95% of the age-related changes in DNA methylation in the hippocampus were sexually divergent, i.e., the methylation did not differ between males and females at young age but age-related changes occurred in one sex but not the other. The age-related changes in DNA methylation tend to be enriched and under-represented in specific genomic contexts, with some commonalities between tissues and species that require further investigation. The strongest evidence that the age-related changes in DNA methylation play a role in aging comes from studies of anti-aging interventions (e.g., caloric restriction, dwarfism, and rapamycin treatment) in mice. These anti-aging interventions deaccelerate the epigenetic clocks and reverse/prevent 20 to 40% of the age-related changes in DNA methylation. It will be important in the future to demonstrate that at least some of the age-related changes in DNA methylation directly lead to alterations in the transcriptome of cells/tissues that could potentially contribute to aging.

Indexed as

DNA MethylationEpigenesis, GeneticAgingAnimalsEpigenomicsHumans5-hydroxymethyl cytosine5-methyl cytosineAgingCaloric restrictionDNA methylationEpigenetic clocksEpigeneticsGene Expression

Identifiers

PMID30419258
PMCPMC6397707
OpenAlexW2900423390

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.