期刊
RENAL FAILURE
卷 44, 期 1, 页码 1850-1865出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/0886022X.2022.2141648
关键词
Kidney transplantation; allograft rejection; immunity; hypoxia; ferroptosis; epithelial mesenchymal transformation
资金
- Minsheng Science and Technology Plan of Liaoning [2021JH2/10300089]
This study aims to identify predictive biomarkers, pathways, and new drugs related to immune response, hypoxia, ferroptosis, and epithelial mesenchymal transformation (EMT) in allograft rejection after kidney transplantation. Five diagnostic genes (CCR5, CD86, CD8A, ITGAM, and PTPRC) positively correlated with allograft rejection were identified. Highly infiltrated immune cells, high expression of hypoxia-related genes, and activated EMT were significantly associated with these diagnostic genes. Furthermore, drug targets for these diagnostic genes were predicted. The study provides insights into the microenvironment changes in kidney transplantation, which may contribute to the development of allograft rejection.
The aim of this study was to identify predictive immunity/hypoxia/ferroptosis/epithelial mesenchymal transformation (EMT)-related biomarkers, pathways and new drugs in allograft rejection in kidney transplant patients. First, gene expression data were downloaded followed by identification of differentially expressed genes (DEGs), weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) analysis. Second, diagnostic model was construction based on key genes, followed by correlation analysis between immune/hypoxia/ferroptosis/EMT and key diagnostic genes. Finally, drug prediction of diagnostic key genes was carried out. Five diagnostic genes were further identified, including CCR5, CD86, CD8A, ITGAM, and PTPRC, which were positively correlated with allograft rejection after the kidney transplant. Highly infiltrated immune cells, highly expression of hypoxia-related genes and activated status of EMT were significantly positively correlated with five diagnostic genes. Interestingly, suppressors of ferroptosis (SOFs) and drivers of ferroptosis (DOFs) showed a complex regulatory relationship between ferroptosis and five diagnostic genes. CD86, CCR5, and ITGAM were respectively drug target of ABATACEPT, MARAVIROC, and CLARITHROMYCIN. PTPRC was drug target of both PREDNISONE and EPOETIN BETA. In conclusion, the study could be useful in understanding changes in the microenvironment within transplantation, which may promote or sustain the development of allograft rejection after kidney transplantation.
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