Evidence map›Paper›PMID 27894195›Full record

ArticleEpigenomics2017

Accelerated placental aging in early onset preeclampsia pregnancies identified by DNA methylation.

Benjamin T Mayne, Shalem Y Leemaqz, Alicia K Smith, James Breen, Claire T Roberts, Tina Bianco-Miotto

Open access · hybridAbstract read
In one paragraph

Article in Epigenomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% of its field
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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Late-onset preeclampsia is characterized by accelerated placental aging.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  20. Quantification of Epigenetic Aging in Public Health.Annual review of public health · 2025
    Review

18 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Benjamin T MayneRobinson Research Institute, University of Adelaide, SA, 5005, Australia.
Shalem Y LeemaqzRobinson Research Institute, University of Adelaide, SA, 5005, Australia.
Alicia K SmithDepartment of Gynecology and Obstetrics & Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA.
James BreenRobinson Research Institute, University of Adelaide, SA, 5005, Australia.
Claire T RobertsRobinson Research Institute, University of Adelaide, SA, 5005, Australia.
Tina Bianco-MiottoRobinson Research Institute, University of Adelaide, SA, 5005, Australia.
University of Adelaide · AUEmory University · US

Funding

Epigenetic and Biobehavioral Determinants of Preterm Birth in Black WomenR01MD009064 · NIMHD · EMORY UNIVERSITY · PI DUNLOP, ANNE LANG, SMITH, ALICIA K · 2014 to 2018
$1.9M
NIMHD NIH HHS R01 MD009064
6 · The paper itself

Abstract

aimTo determine whether dynamic DNA methylation changes in the human placenta can be used to predict gestational age. MATERIALS &

methodsPublicly available placental DNA methylation data from 12 studies, together with our own dataset, using Illumina Infinium Human Methylation BeadChip arrays. RESULTS &

conclusionWe developed an accurate tool for predicting gestational age of placentas using 62 CpG sites. There was a higher predicted gestational age for placentas from early onset preeclampsia cases, but not term preeclampsia, compared with their chronological age. Therefore, early onset preeclampsia is associated with placental aging. Gestational age acceleration prediction from DNA methylation array data may provide insight into the molecular mechanisms of pregnancy disorders.

Indexed as

DNA MethylationAdultBiomarkersEpigenesis, GeneticFemaleGenome, HumanGestational AgeHumansInfant, NewbornMalePlacenta DiseasesPre-EclampsiaPregnancyBiomarkersDNA methylationgestational ageplacenta

Identifiers

PMID27894195
PMCPMC6040051
OpenAlexW2557295976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.