Epigenome wide association study in peripheral blood of pregnant women identifies potential metabolic pathways related to gestational diabetes
Metadata
Show full item recordEditorial
Taylor & Francis Group
Materia
Gestational diabetes mellitus Epigenome-wide association Epigenetics Diabetes Metabolism Glucose homoeostasis
Date
2023-05-16Referencia bibliográfica
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 (2023) Epigenome wide association study in peripheral blood of pregnant women identifies potential metabolic pathways related to gestational diabetes, Epigenetics, 18:1, [DOI: 10.1080/15592294.2023.2211369]
Sponsorship
Juan Rodes program from "Instituto de Salud Carlos III" JR20-00040; Miguel Servet Type I program from the ISCIII-Madrid, Spain CP20/00066; Ministerio de trabajo y economia social de Espana FI19/00178 POEJ-0039-18; Junta de Andalucia RC-0008-2021; Centros de Investigacion Biomedica en Red" (CIBER) of the Institute of Health Carlos III (ISCIII) CB06/03/0018; Instituto de Salud Carlos III PI18/01175 PI21/01864); Junta de Andalucia PI-0283-2018 PI-0419-2019; European CommissionAbstract
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.