Evidence map›Paper›PMID 34243770›Full record

ArticleReproductive biology and endocrinology : RB&E2021

Construction of lncRNA-related competing endogenous RNA network and identification of hub genes in recurrent implantation failure.

Jialyu Huang, Ning Song, Leizhen Xia, Lifeng Tian, Jun Tan, Qianqian Chen, Jing Zhu, Qiongfang Wu

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 21 citations in OpenAlex.

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  15. Bioinformatic Tools for the Analysis and Prediction of ncRNA Interactions.International journal of molecular sciences · 2021
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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

8 authors at 4 institutions in 1 country.

Jialyu Huang *Reproductive Medical Center, Jiangxi Provincial Maternal and Child Health Hospital, 330006, Nanchang, China.
Ning Song *Department of Histology, Embryology, Genetics and Developmental Biology, Shanghai Key Laboratory of Reproductive Medicine, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China.
Leizhen XiaReproductive Medical Center, Jiangxi Provincial Maternal and Child Health Hospital, 330006, Nanchang, China.
Lifeng TianReproductive Medical Center, Jiangxi Provincial Maternal and Child Health Hospital, 330006, Nanchang, China.
Jun TanReproductive Medical Center, Jiangxi Provincial Maternal and Child Health Hospital, 330006, Nanchang, China.
Qianqian ChenReproductive Medical Center, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China.
Jing ZhuReproductive Medical Center, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China. zhujingwzivf@126.com.
Qiongfang WuReproductive Medical Center, Jiangxi Provincial Maternal and Child Health Hospital, 330006, Nanchang, China. wuqiongfang898@sina.com.
Jiangxi Maternal and Child Health Hospital · CNFirst Affiliated Hospital of Wenzhou Medical University · CNShanghai Jiao Tong University · CNWenzhou Medical University · CN

Funding

National Natural Science Foundation of China 81901551National Natural Science Foundation of China 81960288Shanghai Municipal Health Bureau 20144y0101
6 · The paper itself

Abstract

backgroundThe mechanism of recurrent implantation failure (RIF) is unclear at present and poor endometrial receptivity may be one of the leading reasons. This study aims to construct a competing endogenous RNA (ceRNA) network and identify potential hub genes underlying the development of RIF.

methodsWeighted gene co-expression network analysis was performed based on differentially expressed mRNAs (DEMs) and lncRNAs (DELs) from the GSE111974 dataset. Functional enrichment analyses of gene modules were conducted using Gene Ontology classification and Kyoto Encyclopedia of Genes and Genomes pathway. A lncRNA-miRNA-mRNA ceRNA regulatory network was constructed according to predictive interaction derived from the LncRNADisease, miRTarBase, miRDB and TargetScan databases. Topological analysis determined the key genes with the highest centroid and their expressions were further verified using public datasets and quantitative real-time polymerase chain reaction.

resultsA total of 1500 DEMs and 3 DELs were significantly up-regulated, whereas 1022 DEMs and 4 DELs were significantly down-regulated in the RIF group compared with the control group. Six functional co-expression modules were enriched in various biological processes, such as cell adhesion, regulation of cell motility and cellular response to vascular endothelial growth factor stimulus. Five hub genes were identified in the ceRNA network, of which GJA1 was down-regulated whereas TET2, MAP2K6, LRRC1 and TRPM6 were up-regulated in RIF endometrium.

conclusionsWe constructed a lncRNA-associated ceRNA network and identified five novel hub genes in RIF. This finding could be helpful to understand the molecular mechanism for RIF pathogenesis, and may provide novel insights for its early diagnosis and treatment.

Indexed as

Databases, GeneticTreatment FailureAdultComputational BiologyEmbryo ImplantationFemaleGene Regulatory NetworksHumansRecurrenceRNA, Long NoncodingRNA, MessengerTranscriptomeRNA, Long NoncodingRNA, MessengerCompeting endogenous RNALong non-coding RNARecurrent implantation failureWeighted gene co-expression network analysis

Identifiers

PMID34243770
PMCPMC8268333
OpenAlexW3182712440

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.