Evidence map›Paper›PMID 30773560›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2019

[In vitro fertilization-embryo transfer affects focal adhension kinase signaling pathway in early placenta].

L Zhao, L F Sun, X L Zheng, J F Liu, R Zheng, Y Wang, R Yang, L Zhang, L Yu, H Zhang

Open access · greenAbstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

10 authors at 3 institutions in 1 country.

L ZhaoDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
L F SunDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
X L ZhengDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
J F LiuDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
R ZhengDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
Y WangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
R YangDepartment of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
L ZhangDepartment of Obstetrics and Gynecology, Beijing Tsinghua Changgung Hospital, Beijing 102218, China.
L YuDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China.
H ZhangDepartment of Obstetrics and Gynecology, Beijing Jishuitan Hospital, Beijing 100035, China.
Peking University Third Hospital · CNBeijing Tsinghua Chang Gung Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the effects of in vitro fertilization-embryo transfer (IVF-ET) technique on gene expression of focal adhension kinase (FAK) signaling pathway in early placental trophoblast cells, and to explore the effects of IVF-ET technology on the development and function of early placenta.

methodsWe collected 7-8 weeks of gestation placenta tissue as a study group by ultrasound guided reduction of fetal from double embryo transfer under IVF-ET technology. In the control group, placenta tissues were obtained from the spontaneous abortion of natural pregnancy twin 7-8 weeks. Microarray hybridization analysis was performed on the placenta tissue of the two groups using the Affymetrix HG-U133 Plus 2.0 gene chip. Eight differentially expressed genes were identified by real-time quantitative polymerase chain reaction (qRT-PCR), and unsupervised clustering analysis and functional bioinformatics analysis were performed for the differentially expressed genes.

resultsTwenty-eight cases of IVF-ET reduced fetal villi and 8 cases of spontaneous abortion villi were collected. A total of 8 placental villi were detected by the gene chip. Compared with the natural pregnancy control group, 32 differentially expressed genes in the placental FAK signaling pathway were expressed in IVF-ET. The differential expression was greater than or equal to 2 times, of which 12 genes were up-regulated and 20 were down-regulated. The qRT-PCR showed that the expression of the 8 genes in FAK signaling pathways of IVF-ET was significantly different from that in the placenta of natural pregnancy, which was consistent with the result of the gene chip detection. The FAK signal pathway gene localization showed that the FAK gene was mainly located in the upstream of the signal pathway in the placenta of IVF-ET. The placental trophoblast cells maintained the FAK signaling pathway function through gene expression compensation.

conclusionThere are gene expression differences in the FAK signaling pathway between the IVF-ET derived early placenta and the natural pregnancy placenta. The differentially expressed genes are involved in many key functions of the FAK signaling pathway and affect the early development and function of the IVF-ET placenta, while the placental trophoblast cells change gene expression for interference to compensate for IVF-ET technology itself, maintain normal function of the FAK signaling pathway, and satisfy the need for placental and fetal development.

Indexed as

Fertilization in VitroPlacentaEmbryo TransferFemaleHumansOligonucleotide Array Sequence AnalysisPregnancySignal Transduction

Identifiers

PMID30773560
PMCPMC7433558
OpenAlexW3025492639

What OpenQuestion holds

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Registered trials

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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.