Bioinformatics analysis reveals potential shared genes andpathways between vitiligo and type 2 diabetes mellitus
نویسندگان
1 Zanjan Metabolic Diseases Research Center, Health and Metabolic Diseases Research Institute, Zanjan University of Medical Sciences, Zanjan, Iran.
2 Zanjan Metabolic Diseases Research Center, Health and Metabolic Diseases Research Institute, Zanjan University of Medical Sciences, Zanjan, Iran
3 Cancer Gene Therapy Research Center, Zanjan University of Medical Sciences, Zanjan, Iran.
4 Zanjan Metabolic Diseases Research Center, Health and Metabolic Diseases Research Institute, Zanjan University of Medical Sciences, Zanjan, Iran.
5 Department of Clinical Biochemistry, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
6 Department of Clinical Biochemistry, School of Medicine, Zanjan University of Medical Sciences,Zanjan, Iran.
7 Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
doi
10.22034/ijd.2026.546157.2095چکیده
Background: Numerous studies have indicated a significant correlation between vitiligo and diabetes, however the relationship and common molecular pathways underlying between vitiligo and type 2 diabetes mellitus (T2DM) remains largely unknown. Our study aimed to further analyze the correlation and identify shared genes between these conditions.Methods: We selected the gene expression data for vitiligo (GSE75819) and T2D (GSE25724) from the Gene Expression Omnibus (GEO) dataset. We then identified the differentially expressed genes (DEGs) common to both vitiligo and T2DM. subsequently, we performed functional enrichment analysis using the Enrichr database, constructed protein–protein interaction (PPI) networks, and conducted module analysis with the Cytoscape software. Additionally, we identified hub genes using CytoHubba and predicted their co-expression networks using the GeneMANIA database.Results: A total of 139 shared DEGs were identified between vitiligo and T2DM. GO and KEGG pathway enrichment analysis results showed that these DEGs were mostly enriched in translation (Biological process), mitochondrial ribosome (Cellular component), cadherin binding (Molecular function), and ribosome (KEGG pathway). In PPI network analysis, three core hub genes were identified using five algorithms in CytoHubba, including MRPL13, CD74, and RPL6.Conclusions: Our bioinformatics-based research uncovered potential shared genes and pathways between vitiligo and T2DM. These hub genes and common pathways provide valuable insights for further investigation into the molecular mechanisms underlying both vitiligo and T2D. They may serve as potential targets for monitoring and managing these conditions.
