Volume 16, Issue 2 (March & April- In Press 2025)
BCN 2025, 16(2): 449-460 |
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Abrishami M, Rezaei-Tavirani M. Exploring the Role of MicroRNAs and Associated Proteins in Multiple Sclerosis. BCN 2025; 16 (2) :449-460
URL: http://bcn.iums.ac.ir/article-1-2864-en.html
URL: http://bcn.iums.ac.ir/article-1-2864-en.html
1- Department of Medical Laboratory Sciences, Student Research Committee, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Proteomics Research Center, School of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Abstract:
Introduction: Multiple sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system (CNS). The diagnosis and follow-up of MS progression are challenging because of its complex pathogenesis and the lack of specific biomarkers. This study aims to introduce related microRNAs (miRNAs) and associated proteins with MS.
Methods: MS-related miRNA data of 4 peripheral blood profiles from relapsing-remitting MS patients and 8 healthy controls were extracted from the GEO database. Their related proteins were analyzed using bioinformatics methods, such as protein-protein interaction (PPI) network and action map.
Results: Eighteen differential microRNA were detected, discriminating the patient samples from controls. Then, 31 related proteins were identified and assessed via PPI network analysis and action map evaluation.
Conclusion: In conclusion, a protein panel of NCL, NOP58, SNRNP70, U2AF2, YBX1, PRPF8, BOP1, and PIK3K as the crucial individuals associated with MS are suggested for further investigation.
Methods: MS-related miRNA data of 4 peripheral blood profiles from relapsing-remitting MS patients and 8 healthy controls were extracted from the GEO database. Their related proteins were analyzed using bioinformatics methods, such as protein-protein interaction (PPI) network and action map.
Results: Eighteen differential microRNA were detected, discriminating the patient samples from controls. Then, 31 related proteins were identified and assessed via PPI network analysis and action map evaluation.
Conclusion: In conclusion, a protein panel of NCL, NOP58, SNRNP70, U2AF2, YBX1, PRPF8, BOP1, and PIK3K as the crucial individuals associated with MS are suggested for further investigation.
Type of Study: Original |
Subject:
Behavioral Neuroscience
Received: 2024/01/16 | Accepted: 2024/04/8 | Published: 2025/03/1
Received: 2024/01/16 | Accepted: 2024/04/8 | Published: 2025/03/1
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