Identification of Potential Gene and MicroRNA Biomarkers of Acute Kidney Injury

Acute kidney injury (AKI) is a disease that seriously endangers human health. At present, AKI lacks effective treatment methods, so it is particularly important to find effective treatment measures and targets. Bioinformatics analysis has become an important method to identify significant processes...

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Published in:BioMed research international 2021, Vol.2021 (1), p.8834578-8834578
Main Authors: Wang, Si-Yang, Gao, Jie, Song, Yu-huan, Cai, Guang-Yan, Chen, Xiang-Mei
Format: Article
Language:English
Subjects:
Acute renal failure
Bioinformatics
Biological markers
Biomarkers
Cisplatin
Datasets
Deoxyribonucleic acid
Development and progression
DNA
Gene expression
Genes
Genetic aspects
Health aspects
Identification and classification
Identification methods
Injuries
Ischemia
Kidneys
Laboratory animals
MDM2 protein
MicroRNA
MicroRNAs
miRNA
Molecular modelling
Myc protein
Network analysis
Pathogenesis
Principal components analysis
Protein interaction
Protein-protein interactions
Proteins
Reperfusion
Ribonucleic acid
RNA
Software
Variance analysis
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description Acute kidney injury (AKI) is a disease that seriously endangers human health. At present, AKI lacks effective treatment methods, so it is particularly important to find effective treatment measures and targets. Bioinformatics analysis has become an important method to identify significant processes of disease occurrence and development. In this study, we analyzed the public expression profile with bioinformatics analysis to identify differentially expressed genes (DEGs) in two types of common AKI models (ischemia-reperfusion injury and cisplatin). DEGs were predicted in four commonly used microRNA databases, and it was found that miR-466 and miR-709 may play important roles in AKI. Then, we found key nodes through protein-protein interaction (PPI) network analysis and subnetwork analysis. Finally, by detecting the expression levels in the renal tissues of the two established AKI models, we found that Myc, Mcm5, E2f1, Oip5, Mdm2, E2f8, miR-466, and miR-709 may be important genes and miRNAs in the process of AKI damage repair. The findings of our study reveal some candidate genes, miRNAs, and pathways potentially involved in the molecular mechanisms of AKI. These data improve the current understanding of AKI and provide new insight for AKI research and treatment.
doi_str_mv 10.1155/2021/8834578
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subjects Acute renal failure
Bioinformatics
Biological markers
Biomarkers
Cisplatin
Datasets
Deoxyribonucleic acid
Development and progression
DNA
Gene expression
Genes
Genetic aspects
Health aspects
Identification and classification
Identification methods
Injuries
Ischemia
Kidneys
Laboratory animals
MDM2 protein
MicroRNA
MicroRNAs
miRNA
Molecular modelling
Myc protein
Network analysis
Pathogenesis
Principal components analysis
Protein interaction
Protein-protein interactions
Proteins
Reperfusion
Ribonucleic acid
RNA
Software
Variance analysis
title Identification of Potential Gene and MicroRNA Biomarkers of Acute Kidney Injury
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