Evidence map›Paper›PMID 32848869›Full record

ArticleFrontiers in physiology2020

DNA Methylation Reorganization of Skeletal Muscle-Specific Genes in Response to Gestational Obesity.

Anna Prats-Puig, Sergi García-Retortillo, Miquel Puig-Parnau, Fidanka Vasileva, Raquel Font-Lladó, Sílvia Xargay-Torrent, Gemma Carreras-Badosa, Berta Mas-Parés, Judit Bassols, Abel López-Bermejo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Recent progress in epigenetics of obesity.Diabetology & metabolic syndrome · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. 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

10 authors at 4 institutions in 2 countries.

Anna Prats-PuigUniversity School of Health and Sport (EUSES), University of Girona, Girona, Spain.
Sergi García-RetortilloUniversity School of Health and Sport (EUSES), University of Girona, Girona, Spain.
Miquel Puig-ParnauUniversity School of Health and Sport (EUSES), University of Girona, Girona, Spain.
Fidanka VasilevaFaculty of Physical Education, Sport and Health, Ss. Cyril and Methodius University, Skopje, North Macedonia.
Raquel Font-LladóUniversity School of Health and Sport (EUSES), University of Girona, Girona, Spain.
Sílvia Xargay-TorrentPediatric Endocrinology, Girona Institute for Biomedical Research, Dr. Josep Trueta Hospital, Girona, Spain.
Gemma Carreras-BadosaPediatric Endocrinology, Girona Institute for Biomedical Research, Dr. Josep Trueta Hospital, Girona, Spain.
Berta Mas-ParésMaternal & Fetal Metabolic Research, Girona Institute for Biomedical Research, Salt, Spain.
Judit BassolsMaternal & Fetal Metabolic Research, Girona Institute for Biomedical Research, Salt, Spain.
Abel López-BermejoPediatric Endocrinology, Girona Institute for Biomedical Research, Dr. Josep Trueta Hospital, Girona, Spain.
Institut d'Investigació Biomèdica de Girona · ESUniversity of Girona · ESSaints Cyril and Methodius University of Skopje · MKUniversitat de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goals were to investigate in umbilical cord tissue if gestational obesity: (1) was associated with changes in DNA methylation of skeletal muscle-specific genes; (2) could modulate the co-methylation interactions among these genes. Additionally, we assessed the associations between DNA methylation levels and infant's variables at birth and at age 6. DNA methylation was measured in sixteen pregnant women [8-gestational obesity group; 8-control group] in umbilical cord using the Infinium Methylation EPIC Bead Chip microarray. Differentially methylated CpGs were identified with Beta Regression Models [false discovery rate (FDR) < 0.05 and an Odds Ratio > 1.5 or < 0.67]. DNA methylation interactions between CpGs of skeletal muscle-specific genes were studied using data from Pearson correlation matrices. In order to quantify the interactions within each network, the number of links was computed. This identification analysis reported 38 differential methylated CpGs within skeletal muscle-specific genes (comprising 4 categories: contractibility, structure, myokines, and myogenesis). Compared to control group, gestational obesity (1) promotes hypermethylation in highly methylated genes and hypomethylation in low methylated genes; (2) CpGs in regions close to transcription sites and with high CpG density are hypomethylated while regions distant to transcriptions sites and with low CpG density are hypermethylated; (3) diminishes the number of total interactions in the co-methylation network. Interestingly, the associations between infant's fasting glucose at age 6 and

Indexed as

gestational obesitymethylationnetwork physiologyskeletal muscleumbilical cord tissue

Identifiers

PMID32848869
PMCPMC7412435
OpenAlexW3046746327

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.