Evidence map›Paper›PMID 42040809›Full record

ArticleGalen medical journal2022

Selection of MicroRNAs Associated between Neural Stem Cells and Multiple Sclerosis : miRNAs between NSCs and MS for Diagnosis and Treatment.

Sepideh Mandegarfard, Ali Moradi, Ahmad Bereimipour, Mohammad Hoseinian, Sara Taleahmad

Abstract read
In one paragraph

Article in Galen medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sepideh MandegarfardDepartment of Biology, Science and Art University, Yazd, Iran.
Ali MoradiSchool of Advanced Sciences and Technology, Tehran Medical Sciences Branch, Islamic Azad University, Tehran, Iran.
Ahmad BereimipourDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.
Mohammad HoseinianBrain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
Sara TaleahmadDepartment of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosis and treatment of multiple sclerosis (MS) in its advanced state have been one of the medical community's concerns so far. Cell therapy has been a modern and successful treatment. However, it has not yet been effective enough to treat MS. This study aimed to find the relationship between neural stem cells (NSCs) and MS, and by considering important signaling pathways of pathogenesis, the most important microRNAs (miRNAs) for its diagnosis and treatment were investigated. Materials and Methods: Using the bioinformatics approaches and appropriate databases, the relationship between NSCs and MS were recognized, and after obtaining common genes between them, the protein products by them were evaluated. Finally, after nominating essential genes, we isolated and analyzed the microarrays involved in these pathways. Results: In the first step, 76 upregulated and 1600 down-regulated common genes between NSCs and MS were recognized. Upregulated genes obtained axon guidance, NCAM, and RHO signaling pathways, and the cell cycle, RNA metabolism, and DNA repair signaling pathways by down-regulated genes. Then, high-expression PAK3, ROBO2, and LIMK2, and low-expression AURKA, BIRC5, BLM, and BRCA1 proteins were identified. Accordingly, high-expression miRNAs included hsa-miR-4790-5p, hsa-miR-4281, and hsa-miR-4327, but low-expression miRNAs included hsa-miR-103b, hsa-miR-638, and hsa-miR-4537 were recognized. Conclusion: Our study indicated that the abovementioned important miRNAs have a major role in diagnosing and treating MS.

Indexed as

BioinformaticsMicroRNAsMultiple SclerosisNeural Stem Cells

Identifiers

PMID42040809
PMCPMC12328007

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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.