ArticleNature communications2019
Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 3 of them syntheses that pooled it.
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Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.
- The incidence of lower extremity amputation and its associated risk factors in patients with diabetic foot ulcers: A meta-analysis.International wound journal · 2024Pooled it
- Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.Nature communications · 2022Pooled it
- Meta-analyses identify DNA methylation associated with kidney function and damage.Nature communications · 2021Pooled it
- Genome-wide DNA methylation analysis revealed epigenetic mechanism underlying end-stage renal disease.Nature communications · 2026Article
- Spatial metabolomics and multiomics integration for breakthroughs in precision medicine for kidney disease.Nature reviews. Nephrology · 2026Review
- New potential therapeutic targets of metabolic disorder-associated kidney disease and diabetic kidney disease.Kidney international · 2026Review
- Microbiota-gut-kidney axis in health and renal disease.International journal of biological sciences · 2026Review
- Review
- Role of nuclear receptors, lipid metabolism, and mitochondrial function in the pathogenesis of diabetic kidney disease.American journal of physiology. Renal physiology · 2025Review
- DNA methylation in chronic kidney disease.BMC nephrology · 2025Review
- DNA damage in proximal tubules triggers systemic metabolic dysfunction through epigenetically altered macrophages.Nature communications · 2025Article
- Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.Diabetic medicine : a journal of the British Diabetic Association · 2025Review
- Hypermethylation and suppression of microRNA219a-2 activates the ALDH1L2/GSH/PAI-1 pathway for fibronectin degradation in renal fibrosis.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Epigenetics of Hypertensive Nephropathy.Biomedicines · 2024Review
- Review
- Integrated analysis of blood DNA methylation, genetic variants, circulating proteins, microRNAs, and kidney failure in type 1 diabetes.Science translational medicine · 2024Article
- Kidney-specific methylation patterns correlate with kidney function and are lost upon kidney disease progression.Clinical epigenetics · 2024Article
- Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development.Nature communications · 2024Article
- The chromatin landscape of healthy and injured cell types in the human kidney.Nature communications · 2024Article
- Improve-RRBS: a novel tool to correct the 3' trimming of reduced representation sequencing reads.Bioinformatics advances · 2024Article
1 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors at 6 institutions in 2 countries.
Funding
Abstract
Epigenetic changes might provide the biological explanation for the long-lasting impact of metabolic alterations of diabetic kidney disease development. Here we examined cytosine methylation of human kidney tubules using Illumina Infinium 450 K arrays from 91 subjects with and without diabetes and varying degrees of kidney disease using a cross-sectional design. We identify cytosine methylation changes associated with kidney structural damage and build a model for kidney function decline. We find that the methylation levels of 65 probes are associated with the degree of kidney fibrosis at genome wide significance. In total 471 probes improve the model for kidney function decline. Methylation probes associated with kidney damage and functional decline enrich on kidney regulatory regions and associate with gene expression changes, including epidermal growth factor (EGF). Altogether, our work shows that kidney methylation differences can be detected in patients with diabetic kidney disease and improve kidney function decline models indicating that they are potentially functionally important.
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