Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease

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作者
Caroline Gluck
Chengxiang Qiu
Sang Youb Han
Matthew Palmer
Jihwan Park
Yi-An Ko
Yuting Guan
Xin Sheng
Robert L. Hanson
Jing Huang
Yong Chen
Ae Seo Deok Park
Maria Concepcion Izquierdo
Ioannis Mantzaris
Amit Verma
James Pullman
Hongzhe Li
Katalin Susztak
机构
[1] University of Pennsylvania,Department of Medicine, Renal Electrolyte and Hypertension Division
[2] University of Pennsylvania,Department of Pediatrics, Division of Nephrology, The Children’s Hospital of Philadelphia, Perelman School of Medicine
[3] Inje University College of Medicine,Division of Nephrology, Department of Internal Medicine
[4] University of Pennsylvania,Department of Pathology and Laboratory Medicine, Perelman School of Medicine
[5] University of Pennsylvania,Department of Genetics
[6] Diabetes Epidemiology and Clinical Research Section,Department of Biostatistics, Epidemiology, and Informatics, Center for Clinical Epidemiology and Biostatistics, School of Medicine
[7] National Institute of Diabetes and Digestive and Kidney Diseases,Department of Medicine
[8] University of Pennsylvania Perelman,undefined
[9] Albert Einstein College of Medicine,undefined
[10] Department of Pathology Montefiore Medical Center,undefined
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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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