Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development

Epigenetic changes may fill a critical gap in our understanding of kidney disease development, as they not only reflect metabolic changes but are also preserved and transmitted during cell division. We conducted a genome-wide cytosine methylation analysis of 399 human kidney samples, along with sing...

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Vydané v:Nature communications Ročník 15; číslo 1; s. 873 - 17
Hlavní autori: Yan, Yu, Liu, Hongbo, Abedini, Amin, Sheng, Xin, Palmer, Matthew, Li, Hongzhe, Susztak, Katalin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Nature Publishing Group UK 29.01.2024
Nature Publishing Group
Nature Portfolio
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692/4022/1585
Annotations
Cell division
Chromatin
Cytosine
Diabetes mellitus
DNA methylation
Drug development
Epigenetics
Gene expression
Genetic diversity
Genome-wide association studies
Genomes
Humanities and Social Sciences
Hypertension
Kidney diseases
Kidneys
multidisciplinary
Pathogenesis
Proximal tubules
Science
Science (multidisciplinary)
ISSN:2041-1723, 2041-1723
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Shrnutí:Epigenetic changes may fill a critical gap in our understanding of kidney disease development, as they not only reflect metabolic changes but are also preserved and transmitted during cell division. We conducted a genome-wide cytosine methylation analysis of 399 human kidney samples, along with single-nuclear open chromatin analysis on over 60,000 cells from 14 subjects, including controls, and diabetes and hypertension attributed chronic kidney disease (CKD) patients. We identified and validated differentially methylated positions associated with disease states, and discovered that nearly 30% of these alterations were influenced by underlying genetic variations, including variants known to be associated with kidney disease in genome-wide association studies. We also identified regions showing both methylation and open chromatin changes. These changes in methylation and open chromatin significantly associated gene expression changes, most notably those playing role in metabolism and expressed in proximal tubules. Our study further demonstrated that methylation risk scores (MRS) can improve disease state annotation and prediction of kidney disease development. Collectively, our results suggest a causal relationship between epigenetic changes and kidney disease pathogenesis, thereby providing potential pathways for the development of novel risk stratification methods. Kidney disease affects more than 850 million people worldwide, but the development of drug therapeutics has been limited by poor mechanistic understanding. Here, the authors perform epigenome-wide analyses to find methylation changes, and disease mechanisms associated with kidney disease.
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ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-024-45295-y