Korean J Transplant.  2022 Nov;36(Supple 1):S248. 10.4285/ATW2022.F-3885.

Identification of multiple hub genes in acute kidney injury after kidney transplantation by bioinformatics analysis

• Park M

• KMID: 2535465
• DOI: http://doi.org/10.4285/ATW2022.F-3885

Abstract

Background
The molecular mechanisms of the development of acute kidney injury (AKI) after kidney transplantation are not yet clear. Bioinformatics analysis has recently been widely applied to investigate the mechanisms of various diseases. There-fore, in this study, we executed an integrative bioinformatics analysis to identify hub genes associated with AKI after transplantation, using three data sets with mRNA and miRNA expression information.
Methods
To investigate potential genetic targets for AKI, an analysis of the gene expression omnibus database was used to identify key genes and pathways. After identification of differentially expressed genes, Kyoto Encyclopedia of Genes and Genome pathway enrichment analyses were performed. We identified the hub genes and established the protein-protein interac-tion network.
Results
In this study, three GEO datasets with mRNA and miRNA expression information were analyzed to identify DEGs in AKI after transplantation. Finally, we identified 137 differentially expressed genes (59 upregulated genes and 16 downregulated genes). AKAP12, AMOT, C3AR1, LY96, PIK3AP1, PLCD4, PLCG2, TENM2, TLR2, and TSPAN5 were filtrated by the hub genes re-lated to the development of posttransplant AKI from the protein-protein interaction network.
Conclusions
These findings may provide biomarkers for diagnostic and therapeutic targets of AKI and suggest their mechanisms.