Evidence map›Paper›PMID 34484645›Full record

ArticleAvicenna journal of medical biotechnology

An Integrated Bioinformatics Analysis of the Potential Regulatory Effects of miR-21 on T-cell Related Target Genes in Multiple Sclerosis.

Mostafa Manian, Ehsan Sohrabi, Nahid Eskandari, Mohammad-Ali Assarehzadegan, Gordon A Ferns, Mitra Nourbakhsh, Mir Hadi Jazayeri, Reza Nedaeinia

Open access · greenAbstract read
In one paragraph

Article in Avicenna journal of medical biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 57% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  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

8 authors at 3 institutions in 3 countries.

Mostafa ManianDepartment of Immunology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Ehsan SohrabiDepartment of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Nahid EskandariDepartment of Immunology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad-Ali AssarehzadeganDepartment of Immunology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Gordon A FernsBrighton and Sussex Medical School, Division of Medical Education, Falmer, Brighton BN1 9PH, Sussex, UK.
Mitra NourbakhshDepartment of Biochemistry and Nutrition, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Mir Hadi JazayeriDepartment of Immunology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Reza NedaeiniaPediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Iran University of Medical Sciences · IRIsfahan University of Medical Sciences · IRBrighton and Sussex Medical School · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOverexpression of miR-21 is a characteristic feature of patients with Multiple Sclerosis (MS) and is involved in gene regulation and the expression enhancement of pro-inflammatory factors including IFNγ and TNF-α following stimulation of T-cells

methodsIn order to obtain data on the Differentially Expressed Genes (DEGs) in patients with MS and normal controls, the GEO2R web tool was used to analyze the Gene Expression Omnibus (GEO) datasets, and then Protein-Protein Interaction (PPI) networks of co-expressed DEGs were designed using STRING. A molecular network of miRNA-genes and drugs based on differentially expressed genes was created for T-cells of MS patients to identify the targets of miR-21, that may act as important regulators and potential biomarkers for early diagnosis, prognosis and, potential therapeutic targets for MS.

resultsIt found that seven genes (NRIP1, ARNT, KDM7A, S100A10, AK2, TGFβR2, and IL-6R) are regulated by drugs used in MS and miR-21. Finally, three overlapping genes (S100A10, NRIP1, KDM7A) were identified between miRNA-gene-drug network and nineteen genes as hub genes which can reflect the pathophysiology of MS.

conclusionOur findings suggest that miR-21 and MS-related drugs can act synergistically to regulate several genes in the existing datasets, and miR-21 inhibitors have the potential to be used in MS treatment.

Indexed as

BioinformaticsMicroRNAsMultiple sclerosisT-cell

Identifiers

PMID34484645
PMCPMC8377402
OpenAlexW3166288580

What OpenQuestion holds

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LicenceCC BY-NC
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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.