Evidence map›Paper›PMID 28604758›Full record

ArticlePediatric research2017

Intrauterine growth retardation-associated syncytin b hypermethylation in maternal rat blood revealed by DNA methylation array analysis.

Dong-Mei Wu, You-E Yan, Liang-Peng Ma, Han-Xiao Liu, Wen Qu, Jie Ping

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Article in Pediatric research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Dong-Mei WuDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, Huibei, China.
You-E YanDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, Huibei, China.
Liang-Peng MaDepartment of Pharmacy, Wuhan First Hospital, Wuhan, Hubei, China.
Han-Xiao LiuDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, Huibei, China.
Wen QuDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, Huibei, China.
Jie PingDepartment of Pharmacology, Wuhan University School of Basic Medical Sciences, Wuhan, Huibei, China.
Wuhan University · CNWuhan Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundEmerging evidence suggests that DNA methylation in maternal blood is a promising target for intrauterine growth retardation (IUGR) screening, a common developmental toxicity. Here, we aimed to screen out IUGR-related DNA methylation status in maternal blood via high-throughput profiling.MethodsPregnant Wistar rats were subcutaneously administered nicotine (1 mg/kg) twice per day from gestational day (GD) 11 to GD20 to establish the IUGR model. MeDIP array assays and the following GO analysis were used to evaluate DNA methylation status in maternal blood. One placental development-associated gene was selected for further confirmation.ResultsGenes regulating the development of multiple organs and major body systems had changed DNA methylation frequencies in the maternal blood of IUGR rats. Placental development, which can affect the development of multiple fetal organs and induce IUGR, is a hypermethylated cluster consisting of four significantly changed genes, including syncytin b (Synb), Lrrc15, Met, and Tex19.1. With the most significant change, Synb hypermethylation in maternal blood was confirmed by bisulfite-sequencing PCR (BSP). Moreover, decreased Synb expression and histological changes were observed in IUGR placentae.ConclusionThe IUGR-associated DNA methylation profile in maternal blood, such as placenta-related Synb hypermethylation, provides evidence for further studies on possible IUGR biomarkers.

Indexed as

DNA MethylationEpigenesis, GeneticOligonucleotide Array Sequence AnalysisAnimalsDisease Models, AnimalFemaleFetal Growth RetardationGene Expression Regulation, DevelopmentalHigh-Throughput Nucleotide SequencingNicotinePlacentaPregnancyPregnancy ProteinsPromoter Regions, GeneticRats, WistarNicotinePregnancy ProteinsSynb protein, rat

Identifiers

PMID28604758
OpenAlexW2625985637

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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.