Evidence map›Paper›PMID 36140165›Full record

ArticleBiomedicines2022

Unbiased In Silico Analysis of Gene Expression Pinpoints Circulating miRNAs Targeting

Carole Abo, Louise Biquard, Laura Girardet, Sandrine Chouzenoux, Pierre-Alexandre Just, Charles Chapron, Daniel Vaiman, Bruno Borghese

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Carole AboU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Louise BiquardU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Laura GirardetU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Sandrine ChouzenouxU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Pierre-Alexandre JustU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Charles ChapronU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Daniel VaimanU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.ORCID 0000-0002-1915-0717
Bruno BorgheseU1016 Institut Cochin, Institut National de la Santé et de la Recherche Médicale, UMR8104 Centre National de la Recherche Scientifique, 75016 Paris, France.
Inserm · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify circulating miRNAs associated with ovarian endometriosis (OMA), and to analyze candidate genes targeted by these miRNAs. Methods: Putative regulating miRNAs were identified through an original bioinformatics approach. We first queried the miRWalk 2.0 database to collect putative miRNA targets. Then, we matched it to a transcriptomic dataset of OMA. Moving from gene expression in the tissue to possible alterations in the patient plasma, a selection of these miRNAs was quantified by qRT-PCR in plasma samples from 93 patients with isolated OMA and 95 patients surgically checked as free from endometriosis. Then, we characterized the genes regulated by more than one miRNA and validated them by immunohistochemistry and transfection experiments on endometrial cell primary cultures obtained from endometrial biopsies of 10 women with and without endometriosis with miRNA mimics. Stromal and epithelial cells were isolated and cultured separately and gene expression levels were measured by RT-qPCR. Results: Eight miRNAs were identified by bioinformatics analysis. Two of them were overexpressed in plasma from OMA patients: let-7b-5p and miR-92a-3p (p < 0.005). Three miRNAs, let-7b and miR-92a-3p, and miR-93-5p potentially targeted KIAA1324, an estrogen-responsive gene and one of the most downregulated genes in OMA. Transfection experiments with mimics of these two miRNAs showed a strong decrease in KIAA1324 expression, up to 40%. Immunohistochemistry revealed a moderate-to-intense staining for KIAA1324 in the eutopic endometrium and a faint-to-moderate staining in the ectopic endometrium for half of the samples, which is concordant with the transcriptomic data. Discussion and Conclusion: Our results suggested that KIAA1324 might be involved in endometriosis through the downregulating action of two circulating miRNAs. As these miRNAs were found to be overexpressed, their quantification in plasma could provide a tool for an early diagnosis of endometriosis.

Indexed as

biomarkersendometriosisKIAA1324 (EIG121)miRNA

Identifiers

PMID36140165
PMCPMC9495942
OpenAlexW4293008212

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.