Evidence map›Paper›PMID 37192269›Full record

ArticleEpigenetics2023

Epigenome wide association study in peripheral blood of pregnant women identifies potential metabolic pathways related to gestational diabetes.

Teresa María Linares-Pineda, Nerea Peña-Montero, Carolina Gutiérrez-Repiso, Fuensanta Lima-Rubio, Antonio Sánchez-Pozo, Francisco J Tinahones, María Molina-Vega, María José Picón-César, Sonsoles Morcillo

Open access · diamondAbstract read
In one paragraph

Article in Epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

9 authors at 3 institutions in 1 country.

Teresa María Linares-PinedaDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Nerea Peña-MonteroDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Carolina Gutiérrez-RepisoDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Fuensanta Lima-RubioDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Antonio Sánchez-PozoDepartamento de Bioquímica y Biología Molecular 2, Universidad de Granada, Granada, Spain.
Francisco J TinahonesDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
María Molina-VegaDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
María José Picón-CésarDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Sonsoles MorcilloDepartamento de Endocrinología y Nutrición, Hospital Universitario Virgen de la Victoria, Málaga, Spain.ORCID 0000-0001-6932-5637
Andalusian Centre for Nanomedicine and Biotechnology · ESInstituto de Salud Carlos III · ESUniversidad de Granada · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) increases the risk of developing metabolic disorders in both pregnant women and their offspring. Factors such as nutrition or the intrauterine environment may play an important role, through epigenetic mechanisms, in the development of GDM. The aim of this work is to identify epigenetic marks involved in the mechanisms or pathways related to gestational diabetes. A total of 32 pregnant women were selected, 16 of them with GDM and 16 non-GDM. DNA methylation pattern was obtained from Illumina Methylation Epic BeadChip, from peripheral blood samples at the diagnostic visit (26-28 weeks). Differential methylated positions (DMPs) were extracted using ChAMP and limma package in R 2.9.10, with a threshold of FDR <0.05, deltabeta >|5|% and B >0. A total of 1.141 DMPs were found, and 714 were annotated in genes. A functional analysis was performed, and we found 23 genes significantly related to carbohydrate metabolism. Finally, a total of 27 DMPs were correlated with biochemical variables such as glucose levels at different points of oral glucose tolerance test, fasting glucose, cholesterol, HOMAIR and HbA1c, at different visits during pregnancy and postpartum. Our results show that there is a differentiated methylation pattern between GDM and non-GDM. Furthermore, the genes annotated to the DMPs could be implicated in the development of GDM as well as in alterations in related metabolic variables.

Indexed as

Diabetes, GestationalDNA MethylationEpigenomeFemaleGlucoseHumansMetabolic Networks and PathwaysPregnancyPregnant PeopleGlucosediabetesepigeneticsEpigenome-wide associationGestational diabetes mellitusglucose homoeostasismetabolism

Identifiers

PMID37192269
PMCPMC10190180
OpenAlexW4376872963

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.