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1- Student Research Committee, Medical Laboratory Sciences Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
2- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Introduction: Multiple sclerosis (MS) is a chronic autoimmune disease affecting the central nervous system. The diagnosis and monitoring of MS progression is challenging because of its complex pathogenesis and the lack of specific biomarkers. Introducing related microRANs and associated proteins with MS is aim of this study. 
Methods: MS-related miRNA data of 4 peripheral blood profiles from relapsing-remitting MS (RRMS) 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: Numbers of 18 differentially microRNA were detected which discriminate the patient samples from controls. The 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 which are associated with MS was suggested for further investigation.
Type of Study: Original | Subject: Behavioral Neuroscience
Received: 2024/01/16 | Accepted: 2024/04/8

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