Literature DB >> 36266660

Maternal blood pressure associates with placental DNA methylation both directly and through alterations in cell-type composition.

Lucile Broséus1, Daniel Vaiman2, Jörg Tost3, Camino Ruano San Martin2, Milan Jacobi4, Joel D Schwartz5, Rémi Béranger6, Rémy Slama4, Barbara Heude7, Johanna Lepeule8.   

Abstract

BACKGROUND: Maternal blood pressure levels reflect cardiovascular adaptation to pregnancy and proper maternal-fetal exchanges through the placenta and are very sensitive to numerous environmental stressors. Maternal hypertension during pregnancy has been associated with impaired placental functions and with an increased risk for children to suffer from cardiovascular and respiratory diseases later on. Investigating changes in placental DNA methylation levels and cell-type composition in association with maternal blood pressure could help elucidate its relationships with placental and fetal development.
METHODS: Taking advantage of a large cohort of 666 participants, we investigated the association between epigenome-wide DNA methylation patterns in the placenta, measured using the Infinium HumanMethylation450 BeadChip, placental cell-type composition, estimated in silico, and repeated measurements of maternal steady and pulsatile blood pressure indicators during pregnancy.
RESULTS: At the site-specific level, no significant association was found between maternal blood pressure and DNA methylation levels after correction for multiple testing (false discovery rate < 0.05), but 5 out of 24 previously found CpG associations were replicated (p-value < 0.05). At the regional level, our analyses highlighted 64 differentially methylated regions significantly associated with at least one blood pressure component, including 35 regions associated with mean arterial pressure levels during late pregnancy. These regions were found enriched for genes implicated in lung development and diseases. Further mediation analyses show that a significant part of the association between steady blood pressure-but not pulsatile pressure-and placental methylation can be explained by alterations in placental cell-type composition. In particular, elevated blood pressure levels are associated with a decrease in the ratio between mesenchymal stromal cells and syncytiotrophoblasts, even in the absence of preeclampsia.
CONCLUSIONS: This study provides the first evidence that the association between maternal steady blood pressure during pregnancy and placental DNA methylation is both direct and partly explained by changes in cell-type composition. These results could hint at molecular mechanisms linking maternal hypertension to lung development and early origins of childhood respiratory problems and at the importance of controlling maternal blood pressure during pregnancy.
© 2022. The Author(s).

Entities:  

Keywords:  Blood pressure; Cell-type heterogeneity; DNA methylation; Epigenome-wide association study; Mesenchymal stromal cells; Placenta; Pregnancy

Mesh:

Year:  2022        PMID: 36266660      PMCID: PMC9585724          DOI: 10.1186/s12916-022-02610-y

Source DB:  PubMed          Journal:  BMC Med        ISSN: 1741-7015            Impact factor:   11.150


  75 in total

1.  A simple method for estimating global DNA methylation using bisulfite PCR of repetitive DNA elements.

Authors:  Allen S Yang; Marcos R H Estécio; Ketan Doshi; Yutaka Kondo; Eloiza H Tajara; Jean-Pierre J Issa
Journal:  Nucleic Acids Res       Date:  2004-02-18       Impact factor: 16.971

2.  Associations between environmental exposure and blood pressure among participants in the Oslo Health Study (HUBRO).

Authors:  Christian Madsen; Per Nafstad
Journal:  Eur J Epidemiol       Date:  2006-07-21       Impact factor: 8.082

3.  White-Coat Free Genome-Wide Epigenetics of Human Blood Pressure.

Authors:  Daniel Vaiman
Journal:  Hypertension       Date:  2022-03-09       Impact factor: 10.190

4.  Trajectory of blood pressure change during pregnancy and the role of pre-gravid blood pressure: a functional data analysis approach.

Authors:  Minxue Shen; Hongzhuan Tan; Shujin Zhou; Graeme N Smith; Mark C Walker; Shi Wu Wen
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

5.  Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution.

Authors:  Maarten van Iterson; Erik W van Zwet; Bastiaan T Heijmans
Journal:  Genome Biol       Date:  2017-01-27       Impact factor: 13.583

6.  Estimands in epigenome-wide association studies.

Authors:  Jochen Kruppa; Miriam Sieg; Gesa Richter; Anne Pohrt
Journal:  Clin Epigenetics       Date:  2021-04-29       Impact factor: 6.551

7.  A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.

Authors:  Andrew E Teschendorff; Francesco Marabita; Matthias Lechner; Thomas Bartlett; Jesper Tegner; David Gomez-Cabrero; Stephan Beck
Journal:  Bioinformatics       Date:  2012-11-21       Impact factor: 6.937

8.  Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray.

Authors:  Yi-an Chen; Mathieu Lemire; Sanaa Choufani; Darci T Butcher; Daria Grafodatskaya; Brent W Zanke; Steven Gallinger; Thomas J Hudson; Rosanna Weksberg
Journal:  Epigenetics       Date:  2013-01-11       Impact factor: 4.528

9.  EWAS Data Hub: a resource of DNA methylation array data and metadata.

Authors:  Zhuang Xiong; Mengwei Li; Fei Yang; Yingke Ma; Jian Sang; Rujiao Li; Zhaohua Li; Zhang Zhang; Yiming Bao
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

10.  Reliability of a novel approach for reference-based cell type estimation in human placental DNA methylation studies.

Authors:  Elisabeth B Binder; Darina Czamara; Linda Dieckmann; Cristiana Cruceanu; Marius Lahti-Pulkkinen; Jari Lahti; Tuomas Kvist; Hannele Laivuori; Sara Sammallahti; Pia M Villa; Sanna Suomalainen-König; Rebecca C Rancourt; Andreas Plagemann; Wolfgang Henrich; Johan G Eriksson; Eero Kajantie; Sonja Entringer; Thorsten Braun; Katri Räikkönen
Journal:  Cell Mol Life Sci       Date:  2022-02-03       Impact factor: 9.261

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