Evidence map›Paper›PMID 28594854›Full record

ArticlePloS one2017

Identification of key microRNAs and genes in preeclampsia by bioinformatics analysis.

Shouling Luo, Nannan Cao, Yao Tang, Weirong Gu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
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  6. Identification of driving genes of familial adenomatous polyposis by differential gene expression analysis and weighted gene co-expression network analysis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  7. Article
  8. Review
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  11. miRNA-141-5p Affects the Levels of Neutrophil Elastase in Preeclampsia by Regulating MAPK1.Maternal-fetal medicine (Wolters Kluwer Health, Inc.) · 2022
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Differential expression ofJournal of the Turkish German Gynecological Association · 2021
    Article
  17. Maternal whole blood mRNA signatures identify women at risk of early preeclampsia: a longitudinal study.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2021
    Article
  18. Article
  19. Review
  20. Vascular mechanisms and molecular targets in hypertensive pregnancy and preeclampsia.American journal of physiology. Heart and circulatory physiology · 2020
    Review
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

4 authors at 1 institution in 1 country.

Shouling LuoThe Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Nannan CaoThe Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Yao TangThe Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Weirong GuThe Department of Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
Obstetrics and Gynecology Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia is a leading cause of perinatal maternal-foetal mortality and morbidity. The aim of this study is to identify the key microRNAs and genes in preeclampsia and uncover their potential functions. We downloaded the miRNA expression profile of GSE84260 and the gene expression profile of GSE73374 from the Gene Expression Omnibus database. Differentially expressed miRNAs and genes were identified and compared to miRNA-target information from MiRWalk 2.0, and a total of 65 differentially expressed miRNAs (DEMIs), including 32 up-regulated miRNAs and 33 down-regulated miRNAs, and 91 differentially expressed genes (DEGs), including 83 up-regulated genes and 8 down-regulated genes, were identified. The pathway enrichment analyses of the DEMIs showed that the up-regulated DEMIs were enriched in the Hippo signalling pathway and MAPK signalling pathway, and the down-regulated DEMIs were enriched in HTLV-I infection and miRNAs in cancers. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses of the DEGs were performed using Multifaceted Analysis Tool for Human Transcriptome. The up-regulated DEGs were enriched in biological processes (BPs), including the response to cAMP, response to hydrogen peroxide and cell-cell adhesion mediated by integrin; no enrichment of down-regulated DEGs was identified. KEGG analysis showed that the up-regulated DEGs were enriched in the Hippo signalling pathway and pathways in cancer. A PPI network of the DEGs was constructed by using Cytoscape software, and FOS, STAT1, MMP14, ITGB1, VCAN, DUSP1, LDHA, MCL1, MET, and ZFP36 were identified as the hub genes. The current study illustrates a characteristic microRNA profile and gene profile in preeclampsia, which may contribute to the interpretation of the progression of preeclampsia and provide novel biomarkers and therapeutic targets for preeclampsia.

Indexed as

SoftwareComputational BiologyFemaleGene OntologyHumansMicroRNAsPre-EclampsiaPregnancySignal TransductionTranscriptomeMicroRNAs

Identifiers

PMID28594854
PMCPMC5464566
OpenAlexW2622650444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.