Evidence map›Paper›PMID 40256743›Full record

ArticlePeerJ2025

Circular RNAs in endometriosis analyzed through RNA sequencing and bioinformatics for expression profile.

Yan Yue, Jing Qian, Dandan Gui, Bin Lu

Abstract read
In one paragraph

Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
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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

4 authors.

Yan YueDepartment of Gynecology, The First People's Hospital of Wuhu, Wuhu, China.
Jing QianDepartment of Gynecology, The First People's Hospital of Wuhu, Wuhu, China.
Dandan GuiDepartment of Gynecology, The First People's Hospital of Wuhu, Wuhu, China.
Bin LuDepartment of Gynecology, The First People's Hospital of Wuhu, Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endometriosis severely affects women's physical and mental health; it is particularly important to find targets for the treatment and diagnosis of endometriosis. Method: This research aimed to investigate the circRNA expression pattern in endometriosis, a type of non-coding RNA that can modulate parental gene expression by acting as miRNA sponges. Through high-throughput sequencing, we analyzed the circRNA expression profile in endometriosis patients in comparison to individuals without the condition. Results: We detected 371 circular RNAs (circRNAs) showing increased expression and 308 circRNAs displaying decreased expression levels. To validate these findings, we employed quantitative real-time PCR (qRT-PCR) to confirm the expression of the top three differential expressed circRNAs listed in circBase. We inferred potential roles of these differentially expressed circRNAs in endometriosis development by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Moreover, by examining the circRNA-microRNA-target gene network, we uncovered a plausible mechanism. Specifically, interactions involving the markedly upregulated hsa_circ_000005 and significantly downregulated hsa_circ_000011 with miR-5787 may influence downstream targets, potentially contributing to the pathogenesis of endometriosis. Our study offers a foundational and crucial circRNA expression profile within the framework of endometriosis.

Indexed as

EndometriosisRNA, CircularAdultComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHigh-Throughput Nucleotide SequencingHumansMicroRNAsSequence Analysis, RNAMicroRNAsRNA, CircularBioinformaticsCircular RNAEndometriosisRNA sequence

Identifiers

PMID40256743
PMCPMC12009022

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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.