Evidence map›Paper›PMID 29357938›Full record

ArticleReproductive biology and endocrinology : RB&E2018

Integration analysis of microRNA and mRNA paired expression profiling identifies deregulated microRNA-transcription factor-gene regulatory networks in ovarian endometriosis.

Luyang Zhao, Chenglei Gu, Mingxia Ye, Zhe Zhang, Li'an Li, Wensheng Fan, Yuanguang Meng

Open access · goldAbstract read
In one paragraph

Article in Reproductive biology and endocrinology : RB&E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
13.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Pooled it
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  9. Identification of Key miRNAs in Endometriosis.MicroRNA (Shariqah, United Arab Emirates) · 2025
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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

7 authors at 3 institutions in 1 country.

Luyang ZhaoDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China.
Chenglei GuDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China.
Mingxia YeDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China.
Zhe ZhangDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China.
Li'an LiDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China.
Wensheng FanDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China. fanwensheng99@sina.com.
Yuanguang MengDepartment of Gynecology and Obstetrics, People's Liberation Army (PLA) Medical School, Chinese PLA General Hospital, Beijing, 100853, China. meng6512@vip.sina.com.
Chinese PLA General Hospital · CNPeking University People's Hospital · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

National Natural Science Foundation of China 81571411
6 · The paper itself

Abstract

backgroundThe etiology and pathophysiology of endometriosis remain unclear. Accumulating evidence suggests that aberrant microRNA (miRNA) and transcription factor (TF) expression may be involved in the pathogenesis and development of endometriosis. This study therefore aims to survey the key miRNAs, TFs and genes and further understand the mechanism of endometriosis.

methodsPaired expression profiling of miRNA and mRNA in ectopic endometria compared with eutopic endometria were determined by high-throughput sequencing techniques in eight patients with ovarian endometriosis. Binary interactions and circuits among the miRNAs, TFs, and corresponding genes were identified by the Pearson correlation coefficients. miRNA-TF-gene regulatory networks were constructed using bioinformatic methods. Eleven selected miRNAs and TFs were validated by quantitative reverse transcription-polymerase chain reaction in 22 patients.

resultsOverall, 107 differentially expressed miRNAs and 6112 differentially expressed mRNAs were identified by comparing the sequencing of the ectopic endometrium group and the eutopic endometrium group. The miRNA-TF-gene regulatory network consists of 22 miRNAs, 12 TFs and 430 corresponding genes. Specifically, some key regulators from the miR-449 and miR-34b/c cluster, miR-200 family, miR-106a-363 cluster, miR-182/183, FOX family, GATA family, and E2F family as well as CEBPA, SOX9 and HNF4A were suggested to play vital regulatory roles in the pathogenesis of endometriosis.

conclusionIntegration analysis of the miRNA and mRNA expression profiles presents a unique insight into the regulatory network of this enigmatic disorder and possibly provides clues regarding replacement therapy for endometriosis.

Indexed as

Gene Regulatory NetworksEndometriosisEndometriumFemaleGene Expression ProfilingHumansMicroRNAsRNA, MessengerTranscription FactorsMicroRNAsRNA, MessengerTranscription FactorsEndometriosisEndometriumIntegrative analysisMicroRNAsTranscription factors

Identifiers

PMID29357938
PMCPMC5776778
OpenAlexW2795106261

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.