Evidence map›Paper›PMID 33167873›Full record

ArticleBMC genomics2020

DNA methylation in infants with low and high body fatness.

Pontus Henriksson, Antonio Lentini, Signe Altmäe, David Brodin, Patrick Müller, Elisabet Forsum, Colm E Nestor, Marie Löf

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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
0.1field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    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

8 authors at 4 institutions in 2 countries.

Pontus HenrikssonDepartment of Health, Medicine and Caring Sciences, Linköping University, 58183, Linköping, Sweden. pontus.henriksson@liu.se.ORCID http://orcid.org/0000-0003-2482-7048
Antonio LentiniCrown Princess Victoria Children's Hospital, and Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden.
Signe AltmäeDepartment of Biochemistry and Molecular Biology, Faculty of Sciences, University of Granada, Granada, Spain.
David BrodinDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Patrick MüllerDepartment of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden.
Elisabet ForsumDepartment of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden.
Colm E NestorCrown Princess Victoria Children's Hospital, and Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden.
Marie LöfDepartment of Health, Medicine and Caring Sciences, Linköping University, 58183, Linköping, Sweden.
Linköping University · SEKarolinska Institutet · SELinköping University Hospital · SEUniversidad de Granada · ES

Funding

Bo and Vera Ax:son Johnsons Foundation 2012
6 · The paper itself

Abstract

backgroundBirth weight is determined by the interplay between infant genetics and the intrauterine environment and is associated with several health outcomes in later life. Many studies have reported an association between birth weight and DNA methylation in infants and suggest that altered epigenetics may underlie birthweight-associated health outcomes. However, birth weight is a relatively nonspecific measure of fetal growth and consists of fat mass and fat-free mass which may have different effects on health outcomes which motivates studies of infant body composition and DNA methylation. Here, we combined genome-wide DNA methylation profiling of buccal cells from 47 full-term one-week old infants with accurate measurements of infant fat mass and fat-free mass using air-displacement plethysmography.

resultsNo significant association was found between DNA methylation in infant buccal cells and infant body composition. Moreover, no association between infant DNA methylation and parental body composition or indicators of maternal glucose metabolism were found.

conclusionsDespite accurate measures of body composition, we did not identify any associations between infant body fatness and DNA methylation. These results are consistent with recent studies that generally have identified only weak associations between DNA methylation and birthweight. Although our results should be confirmed by additional larger studies, our findings may suggest that differences in DNA methylation between individuals with low and high body fatness may be established later in childhood.

Indexed as

DNA MethylationMouth MucosaAdipose TissueBirth WeightBody CompositionBody Mass IndexHumansInfant

Identifiers

PMID33167873
PMCPMC7654595
OpenAlexW3105642001

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.