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Genome-wide DNA methylation analysis revealed epigenetic mechanism underlying end stage renal disease

Zhou, X.; Shi, D.; Xu, J.; Wang, L.; Gurung, R. l.; Ye, Z.; Yiamunaa, M.; Wang, M.; Fu, D.; Chen, W.; Zhao, J.; Gan, H.; Fu, P.; Tan, X.; Chen, J.; Kong, Y.; Zhang, H.; Li, M.; Dorajoo, R.; Jin, X.; Chi, L. S.; Yu, X.; Liu, J.

2025-07-21 nephrology
10.1101/2025.07.20.25331626 medRxiv
Show abstract

End-stage renal disease (ESRD) remains to be a major clinical challenge with persistently high morbidity and mortality, and its molecular mechanisms, particularly those shared among diverse primary kidney diseases during the progression to ESRD, have not been studied. Here we conducted a large-scale two-stage epigenome-wide association study of ESRD in two independent cohorts consisting of 704 controls and 1031 ESRD cases resulting from multiple kidney diseases. We identified 52 ESRD-associated differentially methylated CpG loci (DMLs) that showed consistent association effect between the two cohorts and across diverse kidney diseases. These 52 DMLs implicated 144 candidate genes that showed enrichment in calprotectin complex, RAGE receptor binding and herpes simplex virus 1 infection. Of the 52 DMLs, 5 DMLs were found to be associated with common complications of ESRD, and another 7 DMLs were also found to be associated with renal function decline in early-stage chronic kidney disease, demonstrating their potential as prognostic biomarkers for ESRD risk and related clinical complications. By identifying prognostic biomarkers and revealing the important roles of inflammation and immune dysregulation and renal fibrosis in renal progression to ESRD across diverse primary kidney diseases, our study has contributed greatly to improve clinical management and advance the development of novel therapies for ESRD.

Published in Nature Communications (predicted rank #3) · training set

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