Evidence map›Paper›PMID 33874912›Full record

ArticleBMC nephrology2021

Comprehensive analysis of IgA nephropathy expression profiles: identification of potential biomarkers and therapeutic agents.

Alieh Gholaminejad, Yousof Gheisari, Sedigheh Jalali, Amir Roointan

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Construction and diagnostic efficacy assessment of the urinary exosomal miRNA-mRNA network in children with IgA vasculitis nephritis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Non-Coding RNAs in Kidney Diseases: The Long and Short of Them.International journal of molecular sciences · 2021
    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

4 authors at 2 institutions in 2 countries.

Alieh GholaminejadRegenerative medicine research center, Isfahan University of Medical Sciences, Isfahan, Iran.
Yousof GheisariRegenerative medicine research center, Isfahan University of Medical Sciences, Isfahan, Iran.
Sedigheh JalaliDepartment of Pediatrics, The University of Melbourne, Melbourne, Australia.
Amir RoointanRegenerative medicine research center, Isfahan University of Medical Sciences, Isfahan, Iran. roointan@res.mui.ac.ir.
Isfahan University of Medical Sciences · IRUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIgA nephropathy (IgAN) is a kidney disease recognized by the presence of IgA antibody depositions in kidneys. The underlying mechanisms of this complicated disease are remained to be explored and still, there is an urgent need for the discovery of noninvasive biomarkers for its diagnosis. In this investigation, an integrative approach was applied to mRNA and miRNA expression profiles in PBMCs to discover a gene signature and novel potential targets/biomarkers in IgAN.

methodsDatasets were selected from gene expression omnibus database. After quality control checking, two datasets were analyzed by Limma to identify differentially expressed genes/miRNAs (DEGs and DEmiRs). Following identification of DEmiR-target genes and data integration, intersecting mRNAs were subjected to different bioinformatic analyses. The intersecting mRNAs, DEmiRs, related transcription factors (from TRRUST database), and long-non coding RNAs (from LncTarD database) were used for the construction of a multilayer regulatory network via Cytoscape.

result"GSE25590" (miRNA) and "GSE73953" (mRNA) datasets were analyzed and after integration, 628 intersecting mRNAs were identified. The mRNAs were mainly associated with "Innate immune system", "Apoptosis", as well as "NGF signaling" pathways. A multilayer regulatory network was constructed and several hub-DEGs (Tp53, STAT3, Jun, etc.), DEmiRs (miR-124, let-7b, etc.), TFs (NF-kB, etc.), and lncRNAs (HOTAIR, etc.) were introduced as potential factors in the pathogenesis of IgAN.

conclusionIntegration of two different expression datasets and construction of a multilayer regulatory network not only provided a deeper insight into the pathogenesis of IgAN, but also introduced several key molecules as potential therapeutic target/non-invasive biomarkers.

Indexed as

Genetic MarkersApoptosisDown-RegulationGene Regulatory NetworksGlomerulonephritis, IGAHumansImmunity, InnateLeukocytes, MononuclearMicroRNAsRNA, Long NoncodingRNA, MessengerTranscription FactorsUp-RegulationGenetic MarkersMicroRNAsMIRN124 microRNA, humanRNA, Long NoncodingRNA, MessengerTranscription FactorsBiomarkersComputational biologyGene expressionGene regulatory networkIgA nephropathy

Identifiers

PMID33874912
PMCPMC8054414
OpenAlexW3111872594

What OpenQuestion holds

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LicenceCC BY
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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.