Paediatrics (RCH) - Theses
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ItemEpigenetics of human placental development and pregnancy-associated disease( 2013)INTRODUCTION: Epigenetics literally means ‘above DNA’ and refers to the study of molecular modifications that control gene expression and chromatin structure. DNA methylation, the most extensively studied epigenetic modification, is involved in both the maintenance of chromosome stability and gene expression. Due to its role in gene expression, tissue specific DNA methylation patterns are assumed to reflect the function of a specific gene in a particular tissue. The human placenta facilitates the interaction between the mother and the fetus, including nutrient and oxygen exchange, waste removal and the protection of the fetus from the maternal immune response. Due to its role at the feto-maternal interface, the placenta is exposed to several environmental factors with the capacity to alter placental function and fetal development. Many of these effects are likely to be mediated by epigenetic change. Linking specific environmental exposures, genetic, and epigenetic variation to maternal and neonatal outcomes may provide valuable mechanistic insights into the role of placental dysfunction in pregnancy-associated disease and later health. Therefore, DNA methylation studies in healthy and disease placentas have the potential to identify new genes associated with placental function. The aim of this PhD was to take a genome-scale approach to characterise gene promoter methylation in the normal human placenta. MATERIALS AND METHODS: Several different tissues, primary cells and cell lines were used in this study. These included placental villi from first, second and third trimester, purified first trimester villous and extravillous cytotrophoblasts, choriocarcinoma and trophoblast-derived cell lines. Placental tissue, neonatal cord blood and maternal peripheral blood serum from twin births, collected as part of the Peri/post-natal Epigenetic Twins Study (PETS) cohort, were used for two aims of this project. Environmental data on maternal nutrition and supplementation during pregnancy were collected through questionnaires or measured in maternal blood serum. DNA methylation levels were analysed on the genome-scale level using the Illumina Infinium HumanMethylation27 BeadChip, and at the gene-specific level using the SEQUENOM MassARRAY EpiTYPER platform. RESULTS: Genome-scale DNA methylation analysis of normal human placenta from first to third trimester identified dynamic changes in DNA methylation patterns in response to increasing gestation and environmental/stochastic factors. Most of the changes were observed at genes involved in immune cell communication and signalling, which likely reflects the change in cell composition as well as the differing immunological interactions between the mother and the fetus as the pregnancy progresses. Furthermore, increasing inter-individual variation in methylation level at certain CpG sites over gestation suggests an accumulation of environmental and/or stochastic influences during intrauterine development. Next, the twin model was employed to quantify the relative influence of the underlying genetic and environmental/stochastic factors on placental methylation at term. Genome-scale methylation analysis of placentas from 8 monozygotic (MZ) and 6 dizygotic (DZ) twin births identified widespread differences in methylation within MZ twin pairs, supporting a role of the intrauterine environment in shaping the placental methylation patterns at term. In general MZ twins were more epigenetically similar than DZ pairs, underlining the influence of DNA sequence on methylation patterns. In the subsequent attempt to tease out the association between a specific environment (maternal and neonatal vitamin D) and placental CYP24A1 methylation in 32 MZ and 54 DZ pairs, no link was identified. Finally, a comparison between first trimester cytotrophoblasts and several widely used trophoblast-derived and choriocarcinoma cell lines identified widespread differences in DNA methylation patterns. Almost all gene families tested showed significant differences in methylation between primary cells and transformed cell lines, with choriocarcinoma lines showing the largest differences. This information may be useful when deciding which cell line to use for functional analysis. CONCLUSIONS: This study revealed that placental DNA methylation patterns are dynamic during pregnancy, likely reflecting placental function at specific points in gestation. Furthermore, the intrauterine environment was shown to shape the placental DNA methylation profile through a combination of environmental and stochastic influences. The identification of environmentally sensitive CpG sites across gestation and within MZ twin pairs warrants further investigation.