Evidence map›Paper›PMID 38374066›Full record

ArticleCell communication and signaling : CCS2024

High estrogen during ovarian stimulation induced loss of maternal imprinted methylation that is essential for placental development via overexpression of TET2 in mouse oocytes.

Xueyan Lu, Jiaqin Mao, Chenxi Qian, Hui Lei, Fei Mu, Huijun Sun, Song Yan, Zheng Fang, Jie Lu, Qian Xu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 5 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

16 authors at 3 institutions in 1 country.

Xueyan Lu *Reproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Jiaqin Mao *Reproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Chenxi Qian *Reproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Hui LeiReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Fei MuDepartment of Pharmacy, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
Huijun SunReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Song YanReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Zheng FangReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Jie LuReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Qian XuReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Jie DongReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Danjie SuReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Jingjing WangReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Ni JinReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China.
Shuqiang ChenReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China. chenshuqiang2012@163.com.
Xiaohong WangReproductive Medicine Center, Department of Gynecology and Obstetrics, Tangdu Hospital, Air Force Medical University, No.1, Xinsi Road, Baqiao District, Xi'an, 710000, Shaanxi Province, China. wangxh919@fmmu.edu.cn.
Air Force Medical University · CNTang Du Hospital · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian stimulation (OS) during assisted reproductive technology (ART) appears to be an independent factor influencing the risk of low birth weight (LBW). Previous studies identified the association between LBW and placenta deterioration, potentially resulting from disturbed genomic DNA methylation in oocytes caused by OS. However, the mechanisms by which OS leads to aberrant DNA methylation patterns in oocytes remains unclear.

methodsMouse oocytes and mouse parthenogenetic embryonic stem cells (pESCs) were used to investigate the roles of OS in oocyte DNA methylation. Global 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) levels were evaluated using immunofluorescence or colorimetry. Genome-wide DNA methylation was quantified using an Agilent SureSelectXT mouse Methyl-Seq. The DNA methylation status of mesoderm-specific transcript homologue (Mest) promoter region was analyzed using bisulfite sequencing polymerase chain reaction (BSP). The regulatory network between estrogen receptor alpha (ERα, ESR1) and DNA methylation status of Mest promoter region was further detected following the knockdown of ERα or ten-eleven translocation 2 (Tet2).

resultsOS resulted in a significant decrease in global 5mC levels and an increase in global 5hmC levels in oocytes. Further investigation revealed that supraphysiological β-estradiol (E2) during OS induced a notable decrease in DNA 5mC and an increase in 5hmC in both oocytes and pESCs of mice, whereas inhibition of estrogen signaling abolished such induction. Moreover, Tet2 may be a direct transcriptional target gene of ERα, and through the ERα-TET2 axis, supraphysiological E2 resulted in the reduced global levels of DNA 5mC. Furthermore, we identified that MEST, a maternal imprinted gene essential for placental development, lost its imprinted methylation in parthenogenetic placentas originating from OS, and ERα and TET2 combined together to form a protein complex that may promote Mest demethylation.

conclusionsIn this study, a possible mechanism of loss of DNA methylation in oocyte caused by OS was revealed, which may help increase safety and reduce epigenetic abnormalities in ART procedures.

Indexed as

DioxygenasesEstrogen Receptor alphaAnimalsDNADNA-Binding ProteinsDNA MethylationEstrogensFemaleMiceOocytesOvulation InductionPlacentaPlacentationPregnancyProto-Oncogene ProteinsDioxygenasesDNADNA-Binding ProteinsEstrogen Receptor alphaEstrogensProto-Oncogene ProteinsDNA methylationERα; TET2MESTOvarian stimulationParthenogenetic activationParthenogenetic embryonic stem cells

Identifiers

PMID38374066
PMCPMC10875811
OpenAlexW4391932168

What OpenQuestion holds

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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.