Abstract Background and Aims Activated neutrophils can release web-like chromatin structures known as neutrophil extracellular traps (NETs), but their roles in the immunopathogenesis of diabetic kidney disease (DKD) remains elusive. Method The characteristic NETs associated targets of differentially expressed genes (DEGs) from human kidney biopsy datasets of patients with DKD (GSE30528 and GSE30529) were identified by machine learning method (LASSO and SVM-RFE). The genes expression was further validated using kidney biopsy dataset of GSE142025. The most abundant single cell of the targets in DKD was further selected by single-nucleus RNA sequencing datasets (GSE131882). Predictive pathway network of targeted genes was constructed using GENEMANIA database. The expressions and potential signaling pathway of these candidate genes were validated using flow cytometry and ELISA. Results Three predicting NETs related genes (ITGAM, ITGB2 and TLR7), identified by machine learning algorithms, which all showed significant upregulation in both glomerular and tubulointerstitial compartments in human DKD kidney samples. Single-cell analysis suggested that ITGAM, ITGB2 and TLR7 were most enriched in leucocytes. DKD patients (n = 18) showed significantly higher activated neutrophils as well as increased expression of ITGAM and ITGB2 compared to healthy controls (HCs, n = 9). DKD patients also exhibited higher serum levels of IL6 but lower IL-10 than HCs (all p < 0.01). The significant network of IL10, IL6, ITGAM and ITGB2 was generated. This network might be associated with leukocyte activation, macrophage activation, JAK-STAT pathway, acute inflammatory response and lymphocyte immune response (all p < 0.05). Conclusion Aberrant ITGAM and ITGB2 expressions in activated neutrophils contribute to DKD pathogenesis and may serve as novel therapeutic targets for DKD.
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