biostudies-literatureUnknown15Xu J<h4>Background</h4>Acute kidney injury (AKI) is a clinical emergency characterized by a dramatic decline in renal function and the accumulation of metabolic waste products in the body, with a high morbidity and mortality rate. The pathogenesis of AKI remains unclear and there are no effective treatment options.<h4>Methods</h4>We aimed to identify critical genes involved in the pathogenesis of AKI and construct a miRNA-mRNA regulatory network using gene expression data downloaded from Gene Expression Omnibus (GSE85957) for 38 kidneys of AKI and 19 control rats and cisplatin treated kidneys of 3 AKI and 3 control rats. Data in GSE85957 were processed using weighted gene co-expression network analysis (WGCNA), and biological function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG)International journal of general medicine1853-1864https://www.ebi.ac.uk/biostudies/studies/S-EPMC8865863biostudies-literatureIdentifying of miRNA-mRNA Regulatory Networks Associated with Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis.PMC8865863Xu JXu YfalseIdentifying of miRNA-mRNA Regulatory Networks Associated with Acute Kidney Injury by Weighted Gene Co-Expression Network Analysis.<h4>Background</h4>Acute kidney injury (AKI) is a clinical emergency characterized by a dramatic decline in renal function and the accumulation of metabolic waste products in the body, with a high morbidity and mortality rate. The pathogenesis of AKI remains unclear and there are no effective treatment options.<h4>Methods</h4>We aimed to identify critical genes involved in the pathogenesis of AKI and construct a miRNA-mRNA regulatory network using gene expression data downloaded from Gene Expression Omnibus (GSE85957) for 38 kidneys of AKI and 19 control rats and cisplatin treated kidneys of 3 AKI and 3 control rats. Data in GSE85957 were processed using weighted gene co-expression network analysis (WGCNA), and biological function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG)2022-01-01T00:00:00Z20222025-05-18T12:32:45.097Z2025-05-18T12:32:45.097ZS-EPMC88658633522171710.2147/IJGM.S353484