An integrated bioinformatics analysis and experimental study identified key biomarkers CD300A or CXCL1, pathways and immune infiltration in diabetic nephropathy mice

Diabetic nephropathy (DN) is a common microvascular complication that easily leads to end-stage renal disease. It important explore the key biomarkers and molecular mechanisms relevant diabetic (DN). We used highthroughput RNA sequencing obtain genes related DN glomerular tissues healthy of mice. Then we LIMMA analyze differentially expressed (DEGs) between non-diabetic samples. And performed KEGG, gene ontology functional (GO) enrichment, set enrichment analysis reveal signaling pathway The CIBERSORT algorithm based on support vector machine was determine immune infiltration score. Random forest Cytoscape obtained hub genes. Finally, applied co-staining, immunohistochemical staining, RT-qPCR western blotting validate protein mRNA expression both 913 DEGs mainly inflammatory factors immunity. GSEA results showed differential were enriched in IL-17 pathway, lipid atherosclerosis, rheumatoid arthritis, TNF neutrophil extracellular trap formation, Staphylococcus aureus infection other pathways. intersection random revealed CD300A CXCL1. Experiments have shown CXCL1 increased podocytes, are inflammation nephropathy. staining further confirmed level or glomeruli tissue mice increased. levels significantly under HG (high glucose) stimulation, confirming diabetes can lead at cellular level. Through bioinformatics analysis, learning algorithms, experimental research, as potential main pathways distributed infiltrating cells