Evidence map›Paper›PMID 42166461›Full record

ArticlePloS one2026

Decoding the genetic basis of demyelination: Prediction of potential pathogenic coding and regulatory noncoding MBP SNPs in multiple sclerosis.

Arwa Ibrahim Alwabran, Ghalia Mahfod Aldoseri, Ghanem Mahfod Aldoseri, Samah O Mohager, Mobarak Mahfod Aldoseri, Ebtihal Kamal

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Article in PloS one, 2026. 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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5 · Who and what money

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6 authors.

Arwa Ibrahim AlwabranCollege of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Ghalia Mahfod AldoseriCollege of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Ghanem Mahfod AldoseriCollege of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Samah O MohagerDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Mobarak Mahfod AldoseriCollege of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.
Ebtihal KamalDepartment of Basic Medical Sciences, College of Medicine, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.ORCID https://orcid.org/0009-0000-6081-2615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Myelin Basic Protein (MBP) gene is essential for myelin sheath formation in the central nervous system. Coding and noncoding single-nucleotide polymorphisms (SNPs) can impair the protein structure and function, contributing to demyelinating diseases exemplified by multiple sclerosis. This study aimed to assess the impact of SNPs in the MBP gene on protein structure and function.

methodsWe employed a comprehensive approach to investigate the impact of both noncoding and coding SNPs of the MBP gene. Initially, we utilized RegulomeDB to assess the regulatory roles of SNPs located in the 3' untranslated regions (3' UTRs). Subsequently, we examined the influence of the 3' UTR SNPs on microRNA (miRNA) binding sites using PolymiRTS. Furthermore, we analyzed the functional 3' UTR SNPs using RNAfold to evaluate their impact on RNA structure. To predict deleterious nonsynonymous SNPs (nsSNPs), various bioinformatics tools, including SIFT, PolyPhen-2, PROVEAN, META-SNP, ESNPs&GO, PANTHER, and AlphaMissense, were employed. Protein stability was assessed using I-Mutant2.0, MUpro, and DDMut. Structural modeling was performed with AlphaFold, and both wild-type and mutant proteins were visualized in UCSF ChimeraX. Conservation analysis was conducted using the ConSurf tool, and protein interaction networks were explored using the STRING database.

resultsEight noncoding SNPs were identified as potential regulatory SNPs, affecting the miRNA binding sites. Moreover, three nsSNPs, rs1971676214 (D173E), rs1242552448 (D173H), and rs772570115 (G176W), were consistently predicted to be pathogenic and to destabilize the protein structure. These variants were located in highly conserved sites and disrupted hydrogen bonds. STRING analysis revealed interactions between MBP and other myelin-related, immune, and signaling proteins, linking it to CNS and autoimmune pathways.

conclusionsThis study identified eight noncoding 3' UTR SNPs and three potentially pathogenic nsSNPs that may compromise gene expression and protein structure and function, respectively, offering insight into genetic mechanisms of demyelination.

Indexed as

Demyelinating DiseasesMultiple SclerosisMyelin Basic ProteinPolymorphism, Single Nucleotide3' Untranslated RegionsBinding SitesComputational BiologyHumansMicroRNAsModels, Molecular3' Untranslated RegionsMicroRNAsMyelin Basic Protein

Identifiers

PMID42166461
PMCPMC13193510

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