Background
Myotonic dystrophy type 1 (DM1) is a genetic disorder caused by CTG repeat expansion in the DMPK gene, resulting in RNA toxicity and transcriptional dysregulation. Identifying molecular networks is crucial for finding therapeutic targets.
Methods
In this study, we examined gene expression profiles of fibroblasts from patients with DM1 and healthy individuals using the GSE173359 dataset. Protein-protein interaction (PPI) networks were created using STRING and Cytoscape. Functional enrichment analysis was conducted using KEGG, Reactome, and Gene Ontology. Additionally, miRNA-mRNA interactions were analyzed with TarBase, and drug-gene associations were explored for potential repurposing using DGIdb.
Results
A total of 358 DEGs were identified, with 182 upregulated and 176 downregulated genes. Hub genes such as Toll-Like Receptor 4 (TLR4), Vascular Cell Adhesion Molecule 1 (VCAM1), Matrix Metallopeptidase 1 (MMP1), Prostaglandin-Endoperoxide Synthase 2 (PTGS2), Secreted Phosphoprotein 1 (SPP1), and Fibroblast Growth Factor 13 (FGF13) were found to be associated with immune signaling and tissue remodeling. Enrichment analysis indicated significant activation of IL-17, TNF, and NF-κB signaling pathways, cytokine-cytokine receptor interactions, and extracellular matrix organization. Additionally, developmental processes involving HOX genes were enriched, suggesting abnormal morphogenetic signaling. miRNA analysis highlighted hsa-miR-15a-5p and hsa-miR-34a-5p as key regulators of multiple hub genes. Drug interaction analysis identified potential candidates like Eritoran (TLR4 inhibitor) and Etoricoxib (PTGS2 inhibitor) for further investigation.
Conclusion
This integrative bioinformatics approach offers new insights into the molecular pathology of DM1, emphasizing inflammation, Extracellular Matrix (ECM) remodeling, and developmental reprogramming as key processes. It also suggests potential miRNAs and repurposed drugs for future therapeutic approaches.
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