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Unravelling the Link Between the Placental Epigenome and Pregnancy Outcomes

Overview of attention for article published in Biology of Reproduction, March 2016
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Article details
Title
Unravelling the Link Between the Placental Epigenome and Pregnancy Outcomes
Published in
Biology of Reproduction, March 2016
DOI 10.1095/biolreprod.116.139915
Pubmed ID
Authors
Abstract

Placental dysfunction underlies common and serious pregnancy complications such as fetal growth-restriction (FGR), pre-eclampsia, pre-term birth and pregnancy loss. Although these complications most frequently manifest in mid-late gestation, the origins of placental dysfunction often arise in early pregnancy and include maternal factors such as vascular insufficiency, smoking and metabolic challenge [1]. Unfortunately, the mechanisms behind these conditions remain poorly understood. There is, however, increasing evidence that placental dysfunction from a variety of causes is associated with an altered epigenetic profile in the late-gestation placenta [2-5]. Recent work is beginning to uncover how the placental epigenome responds to the pregnancy environment. The epigenome contains three classes of tractable, quantifiable and accessible information about the exposures of pregnancy. First, placental DNA contains programmed epigenetic foundations that are distinct from those of the fetus and essential for normal placental function, such as the hypomethylation of retrotransposon-derived genes [6-12]. Second, DNA methylation in the early embryo can be altered in response to environmental factors, leading to lifelong phenotypic change, as shown in mouse paradigms [13]. Third, the fetal epigenome can respond to different environments of pregnancy (obesity, insulin sensitivity, hypoxia, etc) such as through changes in placental transporter genes [1]. The responsive nature of the placental epigenome may benefit fetal growth in suboptimal pregnancy conditions; however, it also may contribute to the development of pregnancy-related pathologies, such as FGR.The importance of epigenetics in the placenta has been highlighted by findings that show that epigenetic aberrations interfere with normal placental and fetal growth [14, 15]. However, it is unknown which specific epigenetic events compromise placental function, induce pregnancy-related pathologies and have long-term effects on the fetus. Care, therefore, must be taken when attributing causality for these outcomes to epigenetic changes in late gestation [16]. The manuscript by Leeuwerke et al in a recent issue [17] adds important information to this question by analysing placental methylation patterns of genes associated with FGR from first trimester chorionic villus biopsy samples in pregnancies that continued to term. In contrast to the DNA methylation changes that have been reported in several genes in term placentae of infants born with either intrauterine growth restriction or small-for-gestational-age (SGA) (reviewed in [18]), Leeuwerke et al did not find any methylation differences in the placental samples obtained at a median gestational age of 11.3 weeks between those pregnancies that went on to deliver an SGA baby at term and those that delivered an appropriately grown baby. These data indicate that the methylation changes associated with FGR must arise in the second or third trimesters. Also of note is that one third of the mothers of SGA pregnancies were smokers whereas none of the control pregnancies were. Smoking in pregnancy is a major cause of FGR and has been associated with changes in the methylation profile of placental DNA at term [5]. If smoking-related epigenetic changes arose in early pregnancy, one might have expected to see differences in methylation profiles between SGA and control cases. Overall, the data reported by Leeuwerke et al support the hypothesis that the methylation changes previously reported in term placentae are a consequence of the pathological pregnancy and may not be causally related to the pathology or, indeed, even the consequences, such as growth restriction.This last point requires further research. Although most FGR becomes apparent in the third trimester, with more severe cases presenting in the second trimester, there is circumstantial evidence suggesting that size at birth may be determined, at least in part, in the first trimester [19, 20]. It clearly is not possible to obtain placental samples beyond the first trimester, except at delivery, but newer techniques such as profiling of fetal and placental DNA in maternal plasma [21] may facilitate further insights into the timing of the changes in the epigenetic profile in pregnancies complicated by placental dysfunction and a greater understanding of cause and consequence.Searching for a methylation change in the epigenome can be like looking for a needle in a haystack. Although Leeuwerke et al. analysed candidate genes for FGR that were supported by the literature, their study may have benefited more from performing a genome-wide analysis to detect methylation changes associated with FGR in first trimester placenta. The rapidly advancing field of genomics has greatly improved the tools available for genome-wide epigenetic analysis. The cost of genome-wide studies has drastically reduced in recent years, making it a relatively small investment for an incredible amount of data. Genome-wide methylation data, generated from either reduced representation bisulfite sequencing [22] or whole genome bisulfite sequencing [23, 24], would be a tremendous resource to investigate placental dysfunction in FGR pregnancies. Mining of such data could reveal how the placental epigenome responds to environmental stimuli, which may be key to uncovering the mechanism underlying placental dysfunction in FGR pregnancies.The authors selected SGA babies for their study, using a definition of birthweight below the 10th percentile. Although there is considerable overlap, SGA is not the same as FGR, which is when the fetus does not achieve its growth potential in utero. Some SGA babies will not have FGR and some babies with FGR will not be SGA [25]. The nature of the cohort meant that more in-depth information about the pregnancies, such as Doppler studies and fetal growth trajectories, was not available. Tighter definition of FGR would be helpful for future studies, including longitudinal parameters of fetal growth and placental function [25] to ensure all cases are FGR and not just SGA. The fact that 25% of the babies in Leeuwerke's study had a birthweight more than 2 standard deviations below the mean and >60% had a birthweight below the 5th percentile suggests that these SGA babies also were truly growth-restricted.The study by Leeuwerke et al. makes a small but important step towards identifying the timing of changes to the epigenetic profile in the placenta that occur in FGR pregnancies and to whether these changes are solely a consequence of the environment or whether they also contribute mechanistically to the phenotype. There are currently no effective treatments for FGR. Future research that identifies differential epigenetic profiles in early FGR pregnancies (i.e. during the first or second trimesters), may lead to the detection of pregnancies at high risk of FGR before this is detectable clinically. A significant proportion of FGR pregnancies are not detected antenatally or before an adverse outcome has occurred [26, 27], so this would be a significant advance. If future research can also provide evidence that changes in placental epigenetic profiles are causally related to outcome, this may lead to the development of specifically targeted treatment options. Finally, since the human placenta remains a relatively unexplored human tissue, the data generated by future research may reveal new and important features about the placenta and its recognized failure in FGR and other placental conditions.

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The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Bachelor 3 20%
Professor > Associate Professor 2 13%
Other 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 4 27%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Biochemistry, Genetics and Molecular Biology 3 20%
Nursing and Health Professions 1 7%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Other 0 0%
Unknown 5 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 March 2016.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Biology of Reproduction
#3,061
of 4,933 outputs
Outputs of similar age
#157,155
of 314,757 outputs
Outputs of similar age from Biology of Reproduction
#10
of 72 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,933 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.