Drug Repositioning Identifies Six Drug Candidates for Systemic Autoimmune Diseases by Integrative Analyses of Transcriptomes from Scleroderma, Systemic Lupus Erythematosus, and Sjogren's Syndrome

dc.contributor.authorOktem, Elif Kubat
dc.contributor.authorYazar, Metin
dc.date.accessioned2025-05-10T19:38:38Z
dc.date.issued2022
dc.departmentİstanbul Medeniyet Üniversitesi
dc.description.abstractThe mechanisms of systemic autoimmune diseases (ADs) are still not clearly understood. Understanding the etiology of systemic ADs and identifying new therapeutic targets require a systems science approach. Using publicly available transcriptome data and bioinformatic analysis, we investigated the differential gene expression profiles of patients with scleroderma, systemic lupus erythematosus, and Sjogren's syndrome. Of these common differentially expressed gene signatures, 208 were regulated in the same direction (either upregulated or downregulated in all datasets) and used for drug repositioning. Six small molecule drug candidates (KU-0063794, YM-155 [sepantronium bromide], MST-312 [telomerase inhibitor IX], PLX-4720, ZM 336372, and 528116.cdx [PIK-75]) were discovered by drug repositioning as potential therapeutics for systemic ADs. The Search Tool for Chemical Interactions was used to find the anticipated target genes of the repositioned molecules. The PI3K/AKT pathway topped the list of common enriched pathways with the most anticipated target genes of the six repositioned small molecules. We also report here the molecular docking findings on the binding affinity between the repositioned drug candidates and genes from the protein-protein interaction network modules of anticipated target genes. Taken together, this study provides new insights and opens up new possibilities on both pathogenesis and treatment of systemic ADs through drug repositioning.
dc.identifier.doi10.1089/omi.2022.0138
dc.identifier.endpage693
dc.identifier.issn1536-2310
dc.identifier.issn1557-8100
dc.identifier.issue12
dc.identifier.pmid36378860
dc.identifier.scopus2-s2.0-85144094339
dc.identifier.scopusqualityQ2
dc.identifier.startpage683
dc.identifier.urihttps://doi.org/10.1089/omi.2022.0138
dc.identifier.urihttps://hdl.handle.net/20.500.14730/9417
dc.identifier.volume26
dc.identifier.wosWOS:000885569400001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMary Ann Liebert, Inc
dc.relation.ispartofOmics-A Journal of Integrative Biology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250302
dc.subjectbioinformatics
dc.subjectdrug repositioning
dc.subjectsystems biology
dc.subjectscleroderma
dc.subjectsystemic lupus erythematosus
dc.subjectSjogren's syndrome
dc.titleDrug Repositioning Identifies Six Drug Candidates for Systemic Autoimmune Diseases by Integrative Analyses of Transcriptomes from Scleroderma, Systemic Lupus Erythematosus, and Sjogren's Syndrome
dc.typeArticle

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