首页|First Affiliated Hospital of Guangxi Medical University Reports Findings in Diab etic Kidney Disease (Identification and validation of immune and cuproptosis - r elated genes for diabetic nephropathy by WGCNA and machine learning)
First Affiliated Hospital of Guangxi Medical University Reports Findings in Diab etic Kidney Disease (Identification and validation of immune and cuproptosis - r elated genes for diabetic nephropathy by WGCNA and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Kidney Diseases and Co nditions - Diabetic Kidney Disease is the subject of a report. According to news reporting originating from Nanning, People's Republic of China, by NewsRx corre spondents, research stated, "As the leading cause of chronic kidney disease, dia betic kidney disease (DKD) is an enormous burden for all healthcare systems arou nd the world. However, its early diagnosis has no effective methods." Our news editors obtained a quote from the research from the First Affiliated Ho spital of Guangxi Medical University, "First, gene expression data in GEO databa se were extracted, and the differential genes of diabetic tubulopathy were obtai ned. Immune-related genesets were generated by WGCNA and immune cell infiltratio n analyses. Then, differentially expressed immune-related cuproptosis genes (DEI CGs) were derived by the intersection of differential genes and genes related to cuproptosis and immune. To investigate the functions of DEICGs, volcano plots a nd GO term enrichment analysis was performed. Machine learning and protein-prote in interaction (PPI) network analysis helped to finally screen out hub genes. Th e diagnostic efficacy of them was evaluated by GSEA analysis, receiver operating characteristic (ROC) curve, single-cell RNA sequencing and the Nephroseq websit e. The expression of hub genes at the animal level by STZ -induced and db/db DKD mouse models was further verified. Finally, three hub genes, including, and th at were up-regulated in both the test set GSE30122 and the validation set GSE305 29, were screened. The areas under the curve (AUCs) of ROC curves of hub genes w ere 0.911, 0.935 and 0.922, respectively, and 0.946 when taking as a whole. Corr elation analysis showed that the expression level of three hub genes demonstrate d their negative relationship with GFR, while those of displayed a positive corr elation with the level of serum creatinine. GSEA was enriched in inflammatory an d immune-related pathways. Single-nucleus RNA sequencing indicated the main dist ribution of in podocyte and mesangial cells, the high expression of in leukocyte s and the main localization of in the loop of Henle. In mouse models, all three hub genes were increased in both STZ-induced and db/db DKD models."
NanningPeople's Republic of ChinaAsi aCyborgsDiabetes ComplicationsDiabetes MellitusDiabetic Kidney DiseaseDiabetic NephropathyEmerging TechnologiesGeneticsHealth and MedicineImmu nologyKidney Diseases and ConditionsMachine LearningNephrologyNephropath yNutritional and Metabolic Diseases and Conditions
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