Evidence map›Paper›PMID 32831145›Full record

ArticleClinical epigenetics2020

Epigenome-wide DNA methylation profiling of preeclamptic placenta according to severe features.

Ji Hyae Lim, Yu-Jung Kang, Hye Jin Bak, Mi Sun Kim, Hyun Jung Lee, Dong Wook Kwak, You Jung Han, Moon Young Kim, Hyeyeon Boo, Shin Young Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Ji Hyae LimCenter for Prenatal Biomarker Research, CHA Advanced Research Institute, CHA Bundang Medical Center, Seongnam-si, Gyeonggi-do, Republic of Korea.
Yu-Jung KangCenter for Prenatal Biomarker Research, CHA Advanced Research Institute, CHA Bundang Medical Center, Seongnam-si, Gyeonggi-do, Republic of Korea.
Hye Jin BakCenter for Prenatal Biomarker Research, CHA Advanced Research Institute, CHA Bundang Medical Center, Seongnam-si, Gyeonggi-do, Republic of Korea.
Mi Sun KimDepartment of Obstetrics & Gynecology, CHA Bundang Medical Center, CHA University, 59, Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13496, Republic of Korea.
Hyun Jung LeeDepartment of Obstetrics & Gynecology, CHA Bundang Medical Center, CHA University, 59, Yatap-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13496, Republic of Korea.
Dong Wook KwakDepartment of Obstetrics and Gynecology, Ajou University School of Medicine, Suwon, Republic of Korea.
You Jung HanDepartment of Obstetrics & Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Republic of Korea.
Moon Young KimDepartment of Obstetrics & Gynecology, CHA Gangnam Medical Center, CHA University, Seoul, Republic of Korea.
Hyeyeon BooDepartment of Obstetrics & Gynecology, CHA Ilsan Medical Center, CHA University, Pocheon-si, Gyeonggi-do, Republic of Korea.
Shin Young KimLaboratory of Medical Genetics, Medical Research Institute, Cheil General Hospital and Women's Healthcare Center, Seoul, Republic of Korea.
Hyun Mee RyuCenter for Prenatal Biomarker Research, CHA Advanced Research Institute, CHA Bundang Medical Center, Seongnam-si, Gyeonggi-do, Republic of Korea. hmryu@yahoo.com.ORCID 0000-0002-0710-2582
CHA University Bundang Medical Center · KRCHA University · KRAjou University · KRCheil General Hospital and Women's Healthcare Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreeclampsia (PE) is an obstetric disorder with significant morbidities for both the mother and fetus possibly caused by a failure of the placental trophoblast invasion. However, its pathophysiology largely remains unclear. Here, we performed DNA methylation profiling to determine whether differential patterns of DNA methylation correlate with PE and severe features of PE. MATERIALS AND

methodsWe extracted DNA from placental tissues of 13 normal, five PE, and eight PE pregnant women with severe features. Genome-wide DNA methylation analysis was performed using the Illumina HumanMethylation 850K BeadChip. New functional annotations of differentially methylated CpGs (DMCs) in PE were predicted using bioinformatics tools.

resultsSignificant differences were evident for 398 DMCs, including 243 DMCs in PE and 155 DMCs in PE with severe features, compared with normal placental tissues. Of these, 12 hypermethylated DMCs and three hypomethylated DMCs were observed in both PE groups, thus were independent from severe features. Three hundred seventy-nine DMCs were identified by the presence or absence of severe features. Two hundred genes containing these DMCs were associated with developmental processes and cell morphogenesis. These genes were significantly associated with various PE complications such as disease susceptibility, viral infections, immune system diseases, endocrine disturbance, seizures, hematologic diseases, and thyroid diseases.

conclusionsThis is the first study to investigate the genome-scale DNA methylation profiles of PE placentas according to severe features. The epigenetic variation in the placentas probably resulted in altered developmental processes and immune dysregulation, contributing to PE. This study provides basic information to refine the clinical and pathological mechanisms of the severe features in placenta-mediated PE.

Indexed as

AdultDNA MethylationEpigenomeFemaleGene Expression ProfilingHumansPlacentaPre-EclampsiaPregnancyDNA methylationEpigeneticsPreeclampsiaSevere features

Identifiers

PMID32831145
PMCPMC7444072
OpenAlexW3080272589

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.