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

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 v...

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Autores principales: Gluck, Caroline, Qiu, Chengxiang, Han, Sang Youb, Palmer, Matthew, Park, Jihwan, Ko, Yi-An, Guan, Yuting, Sheng, Xin, Hanson, Robert L., Huang, Jing, Chen, Yong, Park, Ae Seo Deok, Izquierdo, Maria Concepcion, Mantzaris, Ioannis, Verma, Amit, Pullman, James, Li, Hongzhe, Susztak, Katalin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549146/
https://www.ncbi.nlm.nih.gov/pubmed/31165727
http://dx.doi.org/10.1038/s41467-019-10378-8
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author Gluck, Caroline
Qiu, Chengxiang
Han, Sang Youb
Palmer, Matthew
Park, Jihwan
Ko, Yi-An
Guan, Yuting
Sheng, Xin
Hanson, Robert L.
Huang, Jing
Chen, Yong
Park, Ae Seo Deok
Izquierdo, Maria Concepcion
Mantzaris, Ioannis
Verma, Amit
Pullman, James
Li, Hongzhe
Susztak, Katalin
author_facet Gluck, Caroline
Qiu, Chengxiang
Han, Sang Youb
Palmer, Matthew
Park, Jihwan
Ko, Yi-An
Guan, Yuting
Sheng, Xin
Hanson, Robert L.
Huang, Jing
Chen, Yong
Park, Ae Seo Deok
Izquierdo, Maria Concepcion
Mantzaris, Ioannis
Verma, Amit
Pullman, James
Li, Hongzhe
Susztak, Katalin
author_sort Gluck, Caroline
collection PubMed
description 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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spelling pubmed-65491462019-06-17 Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease Gluck, Caroline Qiu, Chengxiang Han, Sang Youb Palmer, Matthew Park, Jihwan Ko, Yi-An Guan, Yuting Sheng, Xin Hanson, Robert L. Huang, Jing Chen, Yong Park, Ae Seo Deok Izquierdo, Maria Concepcion Mantzaris, Ioannis Verma, Amit Pullman, James Li, Hongzhe Susztak, Katalin Nat Commun Article 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. Nature Publishing Group UK 2019-06-05 /pmc/articles/PMC6549146/ /pubmed/31165727 http://dx.doi.org/10.1038/s41467-019-10378-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Gluck, Caroline
Qiu, Chengxiang
Han, Sang Youb
Palmer, Matthew
Park, Jihwan
Ko, Yi-An
Guan, Yuting
Sheng, Xin
Hanson, Robert L.
Huang, Jing
Chen, Yong
Park, Ae Seo Deok
Izquierdo, Maria Concepcion
Mantzaris, Ioannis
Verma, Amit
Pullman, James
Li, Hongzhe
Susztak, Katalin
Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title_full Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title_fullStr Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title_full_unstemmed Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title_short Kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
title_sort kidney cytosine methylation changes improve renal function decline estimation in patients with diabetic kidney disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6549146/
https://www.ncbi.nlm.nih.gov/pubmed/31165727
http://dx.doi.org/10.1038/s41467-019-10378-8
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