Evidence map›Paper›PMID 34466069›Full record

ArticleSaudi journal of biological sciences2021

Construction of miRNA-mRNA network for the identification of key biological markers and their associated pathways in IgA nephropathy by employing the integrated bioinformatics analysis.

Fatima Noor, Muhammad Hamzah Saleem, Muhammad Farhan Aslam, Ajaz Ahmad, Sidra Aslam

Open access · hybridAbstract read
In one paragraph

Article in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

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  14. Integrated Pangenome Analysis and Pharmacophore Modeling Revealed Potential Novel Inhibitors againstInternational journal of environmental research and public health · 2022
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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

5 authors at 4 institutions in 4 countries.

Fatima NoorDepartment of Bioinformatics and Biotechnology, Government College University, Allama Iqbal Road, 38000 Faisalabad, Pakistan.
Muhammad Hamzah SaleemMOA Key Laboratory of Crop Ecophysiology and Farming System in the Middle Reaches of the Yangtze River, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Muhammad Farhan AslamSchool of Biological Sciences, University of Edinburgh, United Kingdom.
Ajaz AhmadDepartment of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
Sidra AslamDepartment of Bioinformatics and Biotechnology, Government College University, Allama Iqbal Road, 38000 Faisalabad, Pakistan.
Government College University, Faisalabad · PKHuazhong Agricultural University · CNKing Saud University · SAUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbout half-century ago, Immunoglobulin A nephropathy (IgAN) was discovered as a complicated disease with frequent clinical symptoms. Until now, exact mechanism underlying the pathogenesis of IgAN is poorly known. Therefore, current study was aimed to understand the molecular mechanism of IgAN by identifying the key miRNAs and their targeted hub genes. The key miRNAs might contribute to the diagnosis and therapy of IgAN, and could turn out to be a new star in the field of IgAN.

methodsThe microarray datasets were downloaded from Gene Expresssion Omnibus (GEO) database and analyzed using R package (LIMMA) in order to obtain differential expressed genes (DEGs). Then, the hub genes were identified using cytoHubba plugin of cytoscpae tool and other bioinformatics approaches including protein-protein interaction (PPI) network analysis, module analysis, and miRNA-hub gene network construction was also performed.

resultsA total of 348 DEGs were identified, of which 107 were upregulated genes and 241 were downregulated genes. Subsequently, the 12 overlapped genes were predicted from cytoHubba, and considered as hub genes. Moreover, a network among miRNA-hub genes was created to explore the correlation between the hub genes and their targeted miRNAs. Network construction ultimately lead to the identification of nine gene named FN1, EGR1, FOS, JUN, SERPINE1, MMP2, ATF3, MYC, and IL1B and one novel key miRNA namely, has-miR-144-3p as biomarker for diagnosis and therapy of IgAN.

conclusionThis study updates the information and yield a new perspective in context of understanding the pathogenesis and development of IgAN. In future, key miRNAs might be capable of improving the personalized detection and therapies for IgAN.

Indexed as

Bioinformatics analysisBP, Cellular componentsCC, Molecular functionDAVID, Gene Expression OmnibusENCORI, Molecular Complex DetectionGene expression profilingGEO, MicroRNAGO, Database for annotation visualizationand integrated discoveryHub genesHub genes-miRNA networkIgAN, Differential Expressed GenesImmunoglobulin A nephropathyKEGG, Gene OntologyMCODE, Search Tool for the Retrieval of Interacting Genes/ProteinsMF, Kyoto Encyclopedia of Genes and GenomesmiRNA, Protein-Protein InteractionPPI, Immunoglobulin A nephropathyProtein-protein interactionSTRING, Biological process

Identifiers

PMID34466069
PMCPMC8381040
OpenAlexW3175773220

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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.