Evidence map›Paper›PMID 28584637›Full record

ArticleBiomedical reports2017

Identification of global transcriptome abnormalities and potential biomarkers in eutopic endometria of women with endometriosis: A preliminary study.

Luyang Zhao, Chenglei Gu, Mingxia Ye, Zhe Zhang, Weidong Han, Wensheng Fan, Yuanguang Meng

Open access · hybridAbstract read
In one paragraph

Article in Biomedical reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Antioxidants (Basel, Switzerland) · 2026
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  20. Pathogenomics of Endometriosis Development.International journal of molecular sciences · 2018
    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

7 authors at 3 institutions in 1 country.

Luyang ZhaoDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Chenglei GuDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Mingxia YeDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Zhe ZhangDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Weidong HanDepartment of Molecular Biology, Institute of Basic Medicine, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Wensheng FanDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Yuanguang MengDepartment of Gynecology and Obstetrics, People's Liberation Army Medical School, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Chinese People's Liberation Army · CNPeople's Liberation Army No. 150 Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The etiology and pathophysiology of endometriosis remain unclear. The aim of the current study was to identify a candidate pathogenic gene, as well as potential biomarkers of endometriosis using messenger RNA (mRNA) sequencing (mRNA-seq). Twenty-three eutopic endometria from women with endometriosis and 20 endometria from control subjects were investigated. Eight eutopic endometria and five normal endometria were selected for mRNA-seq. Differentially expressed genes (DEGs) were identified and functional analysis was conducted. Validation of certain DEGs was performed in the remaining cases and control subjects by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). A total of 72 DEGs (66 upregulated and 6 downregulated) were identified in samples from women with endometriosis and compared with the control subjects. High DEGs included those involved in various functions, such as extracellular matrix (ECM) remodeling, angiogenesis, cell proliferation and differentiation. Enriched by these DEGs, 100 Gene Ontology terms were identified as significantly important, particularly 'ECM' and 'endogenous stimulus'. Validation using RT-qPCR indicated that matrix metallopeptidase 11, dual specificity phosphatase 1, Fos proto-oncogeneand serpin family E member 1 were significantly upregulated and adenosine deaminase 2 was significantly downregulated in the eutopic endometrium of patients with endometriosis. The identified DEGs may be involved in the pathogenesis of endometriosis and may be potential biomarkers in the eutopic endometrium. The current study provides a comprehensive, but preliminary insight for elucidating the mechanisms of endometriosis, which require further in-depth studies for confirmation.

Indexed as

biomarkerendometriosiseutopic endometriumhigh-throughput nucleotide sequencingmessenger RNA

Identifiers

PMID28584637
PMCPMC5449958
OpenAlexW2610865203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.