Evidence map›Paper›PMID 33204297›Full record

ArticleComputational and mathematical methods in medicine2020

Comprehensive Analysis of Differently Expressed and Methylated Genes in Preeclampsia.

Wenyi Xu, Ping Ru, Zhuorong Gu, Ruoxi Zhang, Xixia Pang, Yi Huang, Zhou Liu, Ming Liu

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. 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
0.2field-weighted citation impact, top 39% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Eclampsia,Translational pediatrics · 2023
    Article
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 3 institutions in 1 country.

Wenyi XuDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Ping RuDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Zhuorong GuDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Ruoxi ZhangDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.
Xixia PangDepartment of Obstetrics and Gynecology, Kongjiang Hospital, Shanghai 200093, China.
Yi HuangDepartment of Life Science, Sichuan Agricultural University, Sichuan 625014, China.
Zhou LiuDepartment of Health Sciences Affiliated Zhoupu Hospital, Shanghai University of Medicine, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-4864-4142
Ming LiuDepartment of Obstetrics and Gynecology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200032, China.ORCID https://orcid.org/0000-0002-1427-207X
Shanghai Jiao Tong University · CNShanghai University of Medicine and Health Sciences · CNSichuan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preeclampsia (PE) is one of the mainly caused maternal and infant incidences and mortalities worldwide. However, the mechanisms underlying PE remained largely unclear. The present study identified 1716 high expressions of gene and 2705 low expressions of gene using GSE60438 database, and identified 7087 hypermethylated and 15120 hypomethylated genes in preeclampsia using GSE100197. Finally, 536 upregulated genes with hypomethylation and 322 downregulated genes with hypermethylation were for the first time revealed in PE. Gene Ontology (GO) analysis revealed that these genes were associated with peptidyl-tyrosine phosphorylation, skeletal system development, leukocyte migration, transcription regulation, T cell receptor and IFN-

Indexed as

Case-Control StudiesComputational BiologyDatabases, GeneticDNA MethylationFemaleGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansPre-EclampsiaPregnancyProtein Interaction Maps

Identifiers

PMID33204297
PMCPMC7652635
OpenAlexW3097272713

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.