Evidence map›Paper›PMID 31262321›Full record

ArticleReproductive biology and endocrinology : RB&E2019

The placental transcriptome of the first-trimester placenta is affected by in vitro fertilization and embryo transfer.

Liang Zhao, Xiuli Zheng, Jingfang Liu, Rong Zheng, Rui Yang, Ying Wang, Lifang Sun

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 17 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

7 authors at 1 institution in 1 country.

Liang ZhaoDepartment of Obstetrics and Gynecology, Beijing Jishuitan, Hospital, No. 31, Xinjiekou East Street, Xicheng District, Beijing, 100035, People's Republic of China.
Xiuli ZhengDepartment of Obstetrics and Gynecology, Beijing Jishuitan, Hospital, No. 31, Xinjiekou East Street, Xicheng District, Beijing, 100035, People's Republic of China.
Jingfang LiuDepartment of Obstetrics and Gynecology, Beijing Jishuitan, Hospital, No. 31, Xinjiekou East Street, Xicheng District, Beijing, 100035, People's Republic of China.
Rong ZhengDepartment of Obstetrics and Gynecology, Beijing Jishuitan, Hospital, No. 31, Xinjiekou East Street, Xicheng District, Beijing, 100035, People's Republic of China.
Rui YangReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China.
Ying WangReproductive Medical Center, Department of Obstetrics and Gynecology, Peking University Third Hospital, No. 49, Huayuan North Road, Haidian District, Beijing, 100191, People's Republic of China.
Lifang SunDepartment of Obstetrics and Gynecology, Beijing Jishuitan, Hospital, No. 31, Xinjiekou East Street, Xicheng District, Beijing, 100035, People's Republic of China. lifangsun1966@aliyun.com.ORCID http://orcid.org/0000-0002-9067-9226
Peking University · CN

Funding

National Natural Science Foundation of China 81070493
6 · The paper itself

Abstract

backgroundThe placenta is a highly specialized temporary organ that is related to fetal development and pregnancy outcomes, and epidemiological data demonstrate an increased risk of placental abnormality after in vitro fertilization and embryo transfer (IVF-ET).

methodsThis study examines alterations in the transcriptome profile of first-trimester placentas from IVF-ET pregnancies and analyzes the potential mechanisms that play a role in the adverse perinatal outcomes associated with IVF-ET procedures. Four human placental villi from first-trimester samples were obtained through fetal bud aspiration from patients subjected to IVF-ET due to oviductal factors. An additional four control human placental villi were derived from a group of subjects who spontaneously conceived a twin pregnancy. We analyzed their transcriptomes by microarray. Then, RT-qPCR and immunohistochemistry were utilized to analyze several dysregulated genes to validate the microarray results. Biological functions and pathways were analyzed with bioinformatics tools.

resultsA total of 3405 differentially regulated genes were identified as significantly dysregulated (> 2-fold change; P < 0.05) in the IVF-ET placenta in the first trimester: 1910 upregulated and 1495 downregulated genes. Functional enrichment analysis of the differentially regulated genes demonstrated that the genes were involved in more than 50 biological processes and pathways that have been shown to play important roles in the first trimester in vivo. These pathways can be clustered into coagulation cascades, immune response, transmembrane signaling, metabolism, cell cycle, stress control, invasion and vascularization. Nearly the same number of up- and downregulated genes participate in the same biological processes related to placental development and maintenance. Procedures utilized in IVF-ET altered the expression of first-trimester placental genes that are critical to these biological processes and triggered a compensatory mechanism during early implantation in vivo.

conclusionThese data provide a potential basis for further analysis of the higher frequency of adverse perinatal outcomes following IVF-ET, with the ultimate goal of developing safer IVF-ET protocols.

Indexed as

Embryo TransferFertilization in VitroTranscriptomeAdultChorionic VilliEmbryonic DevelopmentFemaleGene Expression Regulation, DevelopmentalHumansPlacentaPregnancyPregnancy OutcomePregnancy Trimester, FirstSignal TransductionAdverse perinatal outcomesGene expressionHumanIn vitro fertilization and embryo transfer (IVF-ET)Placenta

Identifiers

PMID31262321
PMCPMC6604150
OpenAlexW2954246058

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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.