Author/Authors :
Aliyari ، Shahram Department of Bioinformatics - University of Tehran, Kish International Campus , Salehi ، Zahra Department of Immunology - School of Medicine - Tehran University of Medical Sciences , Kavousi ، Kaveh Laboratory of Complex Biological Systems and Bioinformatics (CBB), Department of Bioinformatics - Institute of Biochemistry and Biophysics (IBB) - University of Tehran , Azodian Ghajar ، Helia Department of Medical Genetics - Afzalipour Faculty of Medicine - Kerman University of Medical Sciences , Nikoofar ، Parsa Department of Urology - Thunder Bay Regional Health Research Institute , Omid ، Reza Department of Radiology - Hasheminejad Hospital - Tehran University of Medical Sciences , Dehghanpoor Farashah ، Parmida Islamic Azad University, Medical Sciences branch , Homayoun ، Hassan Department of Electrical and Computer Engineering - University of Kashan , Abedi Yarandi ، Vahid Islamic Azad University, Medical Sciences branch
Abstract :
Introduction: The immune system plays a vital role in affording protection for the body against a wide variety of diseases and infections. On occasion, the system malfunctions and attacks intact cells, tissues, and organs influencing any part of the body, tapering off bodily function, and leading to life-threatening. multiple sclerosis (MS) is characterized by inflammatory demyelination with a diverse range of urologic indications.Methods: To extract the overlapped genes and single-nucleotide polymorphisms (SNPs; until November 2022) between MS and several urological disorders, we searched the DisGeNET database. Furthermore, to identify significant Gene Ontology (GO) terms and the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway, the Enrichr assessment was used. Additionally, in the case of overlapped genes, the maximum level of linkage hub genes was investigated by the protein-protein interaction (PPI) network construction via cytoHubba.Results: 1362 common genes between MS and urological disease were recognized, of which 154 genes have SNPs linked with MS susceptibility. Three DisGeNET-indexed MS-associated SNPs, including rs653178, rs10936599, and rs4976646 were shared between MS and urological disorders. TNF, AKT1, IL1B, IL6, VEGFA, INS, C-C CCL5, TP53), RELA proto-oncogene, STAT3, and EGFR were detected as hub genes overrepresented in the identified pathways.Conclusion: Of 1362 common genes, 11 key genes, and 3 SNPs were shared between MS and urology-related diseases. These identified features might serve as potential therapeutic targets in both disorders, with a probable role in the management of urological complications in MS patients.
Keywords :
single , nucleotide polymorphisms , Gene Expressions , Molecular Pathways , Multiple Sclerosis , Urological diseases
