Excessive Gestational Weight Gain Alters DNA Methylation and Influences Foetal and Neonatal Body Composition
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Published:2023-08-16
Issue:3
Volume:7
Page:18
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ISSN:2075-4655
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Container-title:Epigenomes
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language:en
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Short-container-title:Epigenomes
Author:
Argentato Perla Pizzi1ORCID, Guerra João Victor da Silva2ORCID, Luzia Liania Alves1ORCID, Ramos Ester Silveira3ORCID, Maschietto Mariana4ORCID, Rondó Patrícia Helen de Carvalho1ORCID
Affiliation:
1. Nutrition Department, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, São Paulo 01246-904, SP, Brazil 2. Brazilian Biosciences National Laboratory (LNBio), Brazilian Centre for Research in Energy and Materials (CNPEM) and Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Rua Giuseppe Máximo Scolfaro 10.000, Cidade Universitária, Campinas 13083-970, SP, Brazil 3. Department of Genetics, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Ribeirão Preto 14049-900, SP, Brazil 4. Boldrini Children’s Hospital, University of Campinas, Rua Márcia Mendes 619, Cidade Universitária, Campinas 13083-884, SP, Brazil
Abstract
Background: Changes in body weight are associated with the regulation of DNA methylation (DNAm). In this study, we investigated the associations between maternal gestational weight gain-related DNAm and foetal and neonatal body composition. Methods: Brazilian pregnant women from the Araraquara Cohort Study were followed up during pregnancy, delivery, and after hospital discharge. Women with normal pre-pregnancy BMI were allocated into two groups: adequate gestational weight gain (AGWG, n = 45) and excessive gestational weight gain (EGWG, n = 30). Foetal and neonatal body composition was evaluated via ultrasound and plethysmography, respectively. DNAm was assessed in maternal blood using Illumina Infinium MethylationEPIC BeadChip arrays. Linear regression models were used to explore the associations between DNAm and foetal and neonatal body composition. Results: Maternal weight, GWG, neonatal weight, and fat mass were higher in the EGWG group. Analysis of DNAm identified 46 differentially methylated positions and 11 differentially methylated regions (DMRs) between the EGWG and AGWG groups. Nine human phenotypes were enriched for these 11 DMRs located in 13 genes (EMILIN1, HOXA5, CPT1B, CLDN9, ZFP57, BRCA1, POU5F1, ANKRD33, HLA-B, RANBP17, ZMYND11, DIP2C, TMEM232), highlighting the terms insulin resistance, and hyperglycaemia. Maternal DNAm was associated with foetal total thigh and arm tissues and subcutaneous thigh and arm fat, as well as with neonatal fat mass percentage and fat mass. Conclusion: The methylation pattern in the EGWG group indicated a risk for developing chronic diseases and involvement of maternal DNAm in foetal lean and fat mass and in neonatal fat mass.
Funder
São Paulo State Research Foundation Coordination for the Improvement of Higher Education Personnel
Subject
Health, Toxicology and Mutagenesis,Genetics,Biochemistry, Genetics and Molecular Biology (miscellaneous),Biochemistry
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