Wfs1 and Related Molecules as Key Candidate Genes in the Hippocampus of Depression

摘要: Abstract Background: Depression is a mental illness that seriously harms human’s physical and health. The pathogenesis of depression still unclear. However, the hippocampus one brain regions closely related to depression, comprehensive molecular study on it under chronic stress could be extremely beneficial. This aims reveal differentially expressed genes (DEG) in from (CUMS) model identify specific meaningful genetic targets for diagnosis treatment depression. Method: obtained GSE84183 GEO database. R language screened differential expression tissue depressed mice, enrichment pathways DEGs were analyzed. A protein-protein interaction (PPI) network was constructed STRING database visualized Cytoscape software. MicroRNAs these TarBase miRTarBase databases, transcription factors (TF) DEG predicted ENCODE Both networks used visual analysis platform NetworkAnayst. Finally, microRNA-TF integrated based above two imported into further analysis. Results: In total, this 325 genes, downregulated 42 upregulated 283 genes. real-time polymerase chain reaction verify top ten DEG’s (Cplx2, COX3, Ptgds, Hspa8, Rgs7bp, Raver1, Gm4832, Rpl4, Mettl7a2, Wfs1) CUMS mouse hippocampal tissue. results showed significant change Wfs1 after stimulation. enriched significantly biological processes mainly involved circadian rhythm, cell cycle, cytokines. PPI consist 102 nodes 546 edges. modules with highest scores (Serpind1, Ckap4, Wfs1, Notum, Serpina1e, Apol9a) by MCODE Therefore, combined bioinformatics above, can as prognosis target regulatory predicts key microRNA (mmu-mir-17-5p, mmu-mir-7b-5p) TF (UBTF) are pathological process