Evidence map›Paper›PMID 28289477›Full record

ArticleClinical epigenetics2017

Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals.

Tapio Nevalainen, Laura Kananen, Saara Marttila, Juulia Jylhävä, Nina Mononen, Mika Kähönen, Olli T Raitakari, Antti Hervonen, Marja Jylhä, Terho Lehtimäki and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 3 pooled it
9.0field-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

105 citing papers in PubMed, 3 syntheses or guidelines pooled it, 183 citations in OpenAlex.

  1. Pooled it
  2. A Systematic Review and Meta-analysis of Environmental, Lifestyle, and Health Factors Associated With DNA Methylation Age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Pooled it
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  17. Weight of time: exploring the link between obesity and aging.Aging clinical and experimental research · 2025
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45 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

11 authors at 5 institutions in 1 country.

Tapio NevalainenDepartment of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
Laura KananenDepartment of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
Saara MarttilaDepartment of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
Juulia JylhäväDepartment of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
Nina MononenDepartment of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, Tampere University Hospital and University of Tampere, School of Medicine, Tampere, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine and the Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland.
Antti HervonenGerontology Research Center, Tampere, Finland.
Marja JylhäGerontology Research Center, Tampere, Finland.
Terho LehtimäkiDepartment of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland.
Mikko HurmeDepartment of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
Tampere University · FITampere University · FIFimlab (Finland) · FITampere University Hospital · FITurku University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman aging is associated with profound changes in one of the major epigenetic mechanisms, DNA methylation. Some of these changes occur in a clock-like fashion, i.e., correlating with the calendar age of an individual, thus providing a new aging biomarker. Some reports have identified factors associated with the acceleration of the epigenetic age. However, it is also important to analyze the temporal changes in the epigenetic age, i.e., the duration of the observed acceleration, and the effects of the possible therapeutic and lifestyle modifications.

methodsTo address this issue, we determined the epigenetic age for a cohort of 183 healthy individuals using blood samples derived from two time points that were 25 years apart (between 15-24 and 40-49 years of age). Additionally, we also determined the epigenetic ages of 119 individuals in a cohort consisting of 90-year-old participants (nonagenarians). These were determined by using the Horvath algorithm based on the methylation level of 353 CpG sites. The data are indicated as the deviation of the epigenetic age from the calendar age (calendar age minus epigenetic age = delta age, ΔAGE). As obesity is often associated with accelerating aging and degenerative phenotypes, the correlation of the body mass index (BMI) with the ΔAGE was analyzed in the following three age groups: young adults, middle-aged, and nonagenarian.

resultsThe data showed that BMI is associated with decreased ΔAGE, i.e., increased epigenetic age, in middle-aged individuals. This effect is also seen during the 25-year period from early adulthood to middle age, in which an increase in the BMI is significantly associated with a decrease in the ΔAGE. We also analyzed the association between BMI and epigenetic age in young and elderly individuals, but these associations were not significant.

conclusionTaken together, the main finding on this report suggests that association between increased BMI and accelerated epigenetic aging in the blood cells of middle-aged individuals can be observed, and this effect is also detectable if the BMI has increased in adulthood. The fact that the association between BMI and epigenetic age can only be observed in the middle-aged group does not exclude the possibility that this association could be present throughout the human lifespan; it might just be masked by confounding factors in young adults and nonagenarian individuals.

Indexed as

DNA MethylationAdolescentAdultAgingAlgorithmsBody Mass IndexCohort StudiesEpigenesis, GeneticFemaleHumansMaleMiddle AgedObesityYoung Adult

Identifiers

PMID28289477
PMCPMC5310016
OpenAlexW2587920971

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.