Evidence map›Paper›PMID 32487076›Full record

ArticleBMC medical genomics2020

Identification of genes and miRNA associated with idiopathic recurrent pregnancy loss: an exploratory data mining study.

Wael Bahia, Ismael Soltani, Anouar Abidi, Anis Haddad, Salima Ferchichi, Samia Menif, Wassim Y Almawi

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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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 5 institutions in 2 countries.

Wael BahiaResearch Unit of Clinical and Molecular Biology, Department of Biochemistry, Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia.
Ismael SoltaniMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Anouar AbidiLaboratory of Physiology, Faculty of Medicine of Tunis, la Rabta, 1007, Tunis, Tunisia.
Anis HaddadDepartment of Obstetrics and Gynecology, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
Salima FerchichiResearch Unit of Clinical and Molecular Biology, Department of Biochemistry, Faculty of Pharmacy of Monastir, University of Monastir, Monastir, Tunisia.
Samia MenifMolecular and Cellular Hematology Laboratory, Institut Pasteur de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Wassim Y AlmawiFaculty of Sciences, El Manar University, Tunis, Tunisia. wassim.almawi@outlook.com.ORCID 0000-0003-1633-9757
Institut Pasteur de Tunis · TNUniversity of Monastir · TNAbu Dhabi University · AEFaculté de médecine de TunisHospital Fatuma Bourguiba Monastir · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrent pregnancy loss (RPL) is a significant adverse pregnancy complication, with an incompletely understood pathology. While many entities were proposed to elucidate the pathogenic basis of RPL, only few were significant enough to warrant investigation in all affected couples.. The aim of this study was to provide novel insights into the biological characteristics and related pathways of differentially expressed miRNA (DEMs) and genes (DEGs), in RPL, and construct a molecular miRNAs-mRNAs network.

methodsmiRNAs and gene expression data were collected, and a number of DEMs and (DEGs) were obtained, and regulatory co-expression network were constructed. Function and enrichment analyses of DEMs were conducted using DIANA-miRPath. DEGs were screened, and were used in generation of protein-protein interaction (PPI) network, using STRING online database. Modularity analysis, and pathway identification operations were used in identifying graph clusters and associated pathways. DEGs were also used for further gene ontology (GO) analysis, followed by analysis of KEGG pathway.

resultsA total of 34 DEMs were identified, and were found to be highly enriched in TGF-β signaling pathway, Fatty acid metabolism and TNF signaling pathway. Hub miRNAs were selected and were found to be involved in several functional pathways including progesterone-mediated oocyte maturation and Thyroid hormone signaling pathway. Five dysregulated feedback loops involving miRNA and TFs were identified and characterized. Most notably, PPI network analysis identified hub-bottleneck protein panel. These appear to offer potential candidate biomarker pattern for RPL diagnosis and treatment.

conclusionsThe present study provides novel insights into the molecular mechanisms underlying RPL.

Indexed as

Gene Expression RegulationGenesAbortion, HabitualBiomarkersComputational BiologyData MiningFemaleGene Expression ProfilingGene Regulatory NetworksHumansMicroRNAsPregnancyProtein Interaction MapsRecurrenceRNA, MessengerTranscriptomeBiomarkersMicroRNAsRNA, MessengerBioinformatics analysisGene expressionmicroRNARecurrent pregnancy loss

Identifiers

PMID32487076
PMCPMC7268288
OpenAlexW3030599316

What OpenQuestion holds

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LicenceCC BY
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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.