Evidence map›Paper›PMID 37606455›Full record

ArticleEpigenomes2023

Excessive Gestational Weight Gain Alters DNA Methylation and Influences Foetal and Neonatal Body Composition.

Perla Pizzi Argentato, João Victor da Silva Guerra, Liania Alves Luzia, Ester Silveira Ramos, Mariana Maschietto, Patrícia Helen de Carvalho Rondó

Abstract read
In one paragraph

Article in Epigenomes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Perla Pizzi ArgentatoNutrition Department, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, São Paulo 01246-904, SP, Brazil.ORCID 0000-0003-4625-1158
João Victor da Silva GuerraBrazilian 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.ORCID 0000-0002-6800-4425
Liania Alves LuziaNutrition Department, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, São Paulo 01246-904, SP, Brazil.ORCID 0000-0001-8317-1398
Ester Silveira RamosDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes 3900, Ribeirão Preto 14049-900, SP, Brazil.ORCID 0000-0001-7253-2143
Mariana MaschiettoBoldrini Children's Hospital, University of Campinas, Rua Márcia Mendes 619, Cidade Universitária, Campinas 13083-884, SP, Brazil.ORCID 0000-0003-2589-3186
Patrícia Helen de Carvalho RondóNutrition Department, School of Public Health, University of São Paulo, Avenida Dr. Arnaldo 715, São Paulo 01246-904, SP, Brazil.ORCID 0000-0002-8308-6393

Funding

São Paulo Research Foundation FAPESP 2015/03333-6
6 · The paper itself

Abstract

backgroundChanges 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.

methodsBrazilian 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,

resultsMaternal 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 (

conclusionThe 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.

Indexed as

DNA methylationgestational weight gainoffspring body compositionplethysmographyultrasonography

Identifiers

PMID37606455
PMCPMC10443290

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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.