Transcriptome and single-cell profiling of the mechanism of diabetic kidney disease

被引:0
|
作者
Zhou, Ying [1 ]
Fang, Xiao [2 ]
Huang, Lin-Jing [1 ,3 ,4 ,5 ,6 ]
Wu, Pei-Wen [1 ,3 ,4 ,5 ,6 ]
机构
[1] Fujian Med Univ, Affiliated Hosp 1, Dept Endocrinol, 20 Chazhong Rd, Fuzhou 350005, Fujian, Peoples R China
[2] Fujian Med Univ, Mengchao Hepatobiliary Hosp, Dept Kidney Transplantat, Fuzhou 350001, Fujian, Peoples R China
[3] Fujian Med Univ, Affiliated Hosp 1, Natl Reg Med Ctr, Dept Endocrinol, Binhai Campus, Fuzhou 350212, Fujian, Peoples R China
[4] Fujian Med Univ, Affiliated Hosp 1, Clin Res Ctr Metab Dis Fujian Prov, Fuzhou 350005, Fujian, Peoples R China
[5] Fujian Med Univ, Affiliated Hosp 1, Fujian Key Lab Glycolipid & Bone Mineral Metab, Fuzhou 350005, Fujian, Peoples R China
[6] Fujian Med Univ, Affiliated Hosp 1, Diabet Res Inst Fujian Prov, Fuzhou 350005, Fujian, Peoples R China
关键词
Diabetic kidney disease; Single-cell RNA sequencing analysis; NOD-like receptor thermal protein domain associated protein 3; Sirtuin; 2; Caspase; 1; R PACKAGE; MOLECULAR-MECHANISMS; NLRP3; NEPHROPATHY; VISUALIZATION; PATHOGENESIS;
D O I
10.4239/wjd.v16.i2.101538
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BACKGROUND The NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome may play an important role in diabetic kidney disease (DKD). However, the exact link remains unclear. AIM To investigate the role of the NLRP3 inflammasome in DKD. METHODS Using datasets from the Gene Expression Omnibus database, 30 NLRP3 inflammasome-related genes were identified. Differentially expressed genes were selected using differential expression analysis, whereas intersecting genes were selected based on overlapping differentially expressed genes and NLRP3 inflammasome-related genes. Subsequently, three machine learning algorithms were used to screen genes, and biomarkers were identified by overlapping the genes from the three algorithms. Potential biomarkers were validated by western blotting in a db/db mouse model of diabetes. RESULTS Two biomarkers, sirtuin 2 (SIRT2) and caspase 1 (CASP1), involved in the Leishmania infection pathway were identified. Both biomarkers were expressed in endothelial cells. Pseudo-temporal analysis based on endothelial cells showed that DKD mostly occurs during the mid-differentiation stage. Western blotting results showed that CASP1 expression was higher in the DKD group than in the control group (P < 0.05), and SIRT2 content decreased (P < 0.05). CONCLUSION SIRT2 and CASP1 provide a potential theoretical basis for DKD treatment.
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页数:22
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