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Placental DNA methylation at term reflects maternal serum levels of INHA and FN1, but not PAPPA, early in pregnancy

Overview of attention for article published in BMC Medical Genomics, December 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Title
Placental DNA methylation at term reflects maternal serum levels of INHA and FN1, but not PAPPA, early in pregnancy
Published in
BMC Medical Genomics, December 2015
DOI 10.1186/s12881-015-0257-z
Pubmed ID
Authors

Samantha L. Wilson, John D. Blair, Kirsten Hogg, Sylvie Langlois, Peter von Dadelszen, Wendy P. Robinson

Abstract

Early detection of pregnancies at risk of complications, such as intrauterine growth restriction (IUGR) and preeclampsia (PE), is critical for improved monitoring and preventative treatment to optimize health outcomes. We predict that levels of placental-derived proteins circulating in maternal blood reflect placental gene expression, which is associated with placental DNA methylation (DNAm) profiles. As such, placental DNAm profiling may be useful to distinguish pregnancies at risk of developing complications and correlation between DNAm and protein levels in maternal blood may give further evidence for a protein's use as a biomarker. However, few studies investigate all clinical parameters that may influence DNAm and/or protein expression, which can significantly affect the relationship between these measures. Candidate genes were chosen based on i) reported alterations of protein levels in maternal blood and ii) observed changes in placental DNAm (∆β > 0.05 and False Discovery Rate (FDR) <0.05) in pregnancies complicated by PE/IUGR. Fibronectin (FN1) enhancer DNAm and placental gene expression were inversely correlated (r = -0.88 p < 0.01). The same trend was observed between promoter DNAm and gene expression for INHBA and PAPPA, though not significant. INHBA and FN1 DNAm was associated with gestational-age corrected birth weight, while INHA levels were associated with fetal: placental weight ratio and FN1 level was associated with maternal body mass index (BMI). DNAm at the INHBA promoter in the term placenta was negatively correlated with second trimester maternal serum levels (r = -0.50 p = 0.01) and DNAm at the FN1 enhancer was negatively associated with third trimester maternal serum levels (r = -0.38, p = 0.009). However, a similar correlation was not found for PAPPA. These results show that establishing a correlation between altered DNAm in the term placenta and altered maternal serum levels of the corresponding protein, is affected by a number of factors. Nonetheless, the correlation between placental DNAm of INHBA/FN1 and maternal serum INHA/FN1 levels indicate that DNAm may be a useful tool to identify novel biomarkers for adverse pregnancy outcomes in some cases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 9 14%
Student > Bachelor 8 13%
Researcher 4 6%
Student > Doctoral Student 4 6%
Other 12 19%
Unknown 16 25%
Readers by discipline Count As %
Medicine and Dentistry 13 20%
Biochemistry, Genetics and Molecular Biology 9 14%
Nursing and Health Professions 8 13%
Agricultural and Biological Sciences 4 6%
Social Sciences 3 5%
Other 7 11%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 May 2019.
All research outputs
#8,535,684
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#637
of 2,444 outputs
Outputs of similar age
#125,378
of 395,336 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 46 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 395,336 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.